4.11.5 Color Constancy, Retinex

Kubelka, P., Munk, F.,
Ein Beitrag zur Optik der Farbanstriche,
Z. Techn. Phusik(12), 1931, pp. 593. How light scatters in layers of a solid. BibRef 3100

Helson, H.,
Some Factors and Implications of Color Constancy,
JOSA(24), 1934, pp. 555-567. BibRef 3400

Kubelka, P.,
New Contribution to the Optics of Intensely Light-Scattering Materials: Part I,
JOSA(38), No. 5, 1948, pp. 448-457. How light scatters in layers of a solid. BibRef 4800

Müller, P.F.,
Color Image Retrieval from Monochrome Transparencies,
AppOpt(8), No. 10, October 1969, pp. 2051. BibRef 6910

Land, E.H.,
Color Vision and the Natural Image,
NAS(45), 1959, pp. 115-129, and 1959, pp. 636-644; BibRef 5900
And: NAS(80), 1983, pp. 5163-5169. BibRef

Land, E.H.[Edwin H.],
Experiments in Color Vision,
SciAmer(200), 1959, pp. 84-89. BibRef 5900

Land, E.H.[Edwin H.],
Color Vision and the Natural Image: Part I,
NAS(45), No. 1, January 1959, pp. 115-129. BibRef 5901
And:
Color Vision and the Natural Image: Part II,
NAS(45), No. 4, April 1959, pp. 636-644. BibRef

McCann, J.J., Rizzi, A.,
Veiling glare: the dynamic range limit of HDR images,
SPIE(6492), no. 649213, 2007.
DOI Link 1105
BibRef

McCann, J.J., Rizzi, A.,
Camera and visual veiling glare in HDR images,
Inf. Display(15), No. 9, 2007, pp. 721-730. 1105
BibRef

Stiehl, W.A., McCann, J.J., Savoy, R.L.,
Influence of intraocular scattered light on lightness-scaling experiments,
JOSA(73), 1983, pp. 1143-1148. 1105
BibRef

Rizzi, A., McCann, J.J.,
Glare-limited appearances in HDR images,
Inf. Display(17), No. 1, 2009, pp. 3-12. 1105
BibRef

McCann, J.J., Rizzi, A.,
Retinal HDR images: intraocular glare and object size,
Inf. Display(17), No. 11, 2009, pp. 913-920. 1105
BibRef

McCann, J.J.,
Art, science, and appearance in HDR images,
Inf. Display(15), No. 9, 2007, pp. 709-719. 1105
BibRef

Parraman, C.E., McCann, J.J., Rizzi, A.,
Artist's colour rendering of HDR scenes in 3-D Mondrian colour-constancy experiments,
SPIE(7528), 2010, pp. 75281.
DOI Link 1105
BibRef

McCann, J.J., Parraman, C.E., Rizzi, A.,
Pixel and spatial mechanisms of color constancy,
SPIE(75282010, pp. 75282.
DOI Link 1105
BibRef

McCann, J.J.,
Do humans discount the illuminant?,
SPIE(5666), 2005, pp. 9-16.
DOI Link 1105
BibRef

McCann, J.J.[John J.],
Human spatial processing accounts for dynamic range and color,
SPIE(Newsroom), May 10, 2011
DOI Link 1105
The discernible improvement in high-dynamic-range digital imaging is due to greater detail in the rendered image, rather than accurate scene reproduction. BibRef

Horn, B.K.P.[Berthold K.P.],
Determining Lightness from an Image,
CGIP(3), No. 4, December 1974, pp. 277-299.
Elsevier DOI BibRef 7412
Earlier:
On Lightness,
MIT AI Memo-295, October 1973. Lightness comes from either reflectance or reflectance and illumination.
See also Understanding Image Intensities. BibRef

Blake, A.[Andrew],
Boundary Conditions for Lightness Computation in Mondrian World,
CVGIP(32), No. 3, December 1985, pp. 314-327.
Elsevier DOI BibRef 8512

Brelstaff, G., Blake, A.,
Computing Lightness,
PRL(5), 1987, pp. 129-138. BibRef 8700

Novak, C.L., and Shafer, S.A.,
Supervised Color Constancy Using a Color Chart,
CMU-CS-TR-90-140, CMU CS Dept., June 1990. Matching colors under different illuminations. BibRef 9006

Skrzypek, J.,
Lightness Constancy: Connectionist Architecture for Controlling Sensitivity,
SMC(20), 1990, pp. 957-968. BibRef 9000

Arend, L., Reeves, A.,
Simultaneous Colour Constancy,
JOSA-A(3), 1986, pp. 1743-1751. BibRef 8600

Wandell, B.A.,
The Synthesis and Analysis of Color Images,
PAMI(9), No. 1, January 1987, pp. 2-13. BibRef 8701

Wandell, B.A.[Brian A.],
Color Appearance and the Digital Imaging Pipeline,
ICPR00(Vol I: 183-190).
IEEE DOI 0009
Plenery talk. Overview. BibRef

Maloney, L.T., and Wandell, B.A.,
Color Constancy: A Method for Recovering Surface Spectral Reflectance,
JOSA-A(3), 1986, pp. 29-33. Reprinted in BibRef 8600 RCV87(293-297). Estimate reflectance without a known ambient light source. Also given as: A Computational Model for Color Constancy. ?? BibRef

Wandell, B.A., El Gamal, A., Girod, B.,
Common principles of image acquisition systems and biological vision,
PIEEE(90), No. 1, January 2002, pp. 5-17.
IEEE DOI 0201
BibRef

Xu, J.J.[Jia-Jing], Farrell, J.[Joyce], Matskewich, T.[Tanya], Wandell, B.A.[Brian A.],
Prediction of preferred ClearType filters using the S-CIELAB metric,
ICIP08(361-364).
IEEE DOI 0810
BibRef

Maloney, L.T.,
Evaluation of Linear Models of Surface Spectral Reflectance with Small Numbers of Parameters,
JOSA-A(3), No. 10, October 1986, pp. 1673-1683. BibRef 8610

Maloney, L.T.,
Computational Approaches to Color Vision,
Ph.D.1984, Stanford University. BibRef 8400

Marimont, D.H., Wandell, B.A.,
Linear Models of Surface and Illuminant Spectra,
JOSA-A(9), 1992, pp. 1905-1913. BibRef 9200

d'Zmura, M., and Lennie, P.,
Mechanisms of Color Constancy,
JOSA-A(3), 1986, pp. 1662-1672. BibRef 8600

d'Zmura, M., and Iverson, G.,
Color Constancy. I. Basic Theory of Two Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2148-2165. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. II. Results for Two-Stage Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(10), 1993, pp. 2166. BibRef 9300

d'Zmura, M., and Iverson, G.,
Color Constancy. III. General Linear Recovery of Spectral Descriptions for Lights and Surfaces,
JOSA-A(11), 1994, pp. 2389-2400. BibRef 9400

Sato, Y., and Ikeuchi, K.,
Temporal-Color Space Analysis of Reflection,
JOSA-A(11), No. 11, November 1994, pp. 2990-3002. BibRef 9411
Earlier: CVPR93(570-576).
IEEE DOI BibRef
And: CMU-CS-TR-92-207, November 1992, CMU CS Dept.
PS File. Temporal-color space (4-D images). Register range and color image. BibRef

Kawakami, R.[Rei], Takamatsu, J.[Jun], Ikeuchi, K.[Katsushi],
Color constancy from blackbody illumination,
JOSA-A(24), No. 7, July 2007, pp. 1886-1893.
WWW Link. 0801

See also Color estimation from a single surface color. BibRef

Sinha, P., Adelson, E.H.,
Verifying the 'Consistency' of Shading Patterns and 3-D Structures,
WQV93(71-80). BibRef 9300

Sinha, P., and Adelson, E.H.,
Recovering Reflectance and Illumination in a World of Painted Polyhedra,
ICCV93(156-163).
IEEE DOI Addresses changes in both reflectance and orientation and colors. BibRef 9300

Forsyth, D.A.,
A Novel Algorithm for Color Constancy,
IJCV(5), No. 1, August 1990, pp. 5-36.
Springer DOI BibRef 9008
And:
A Novel Approach to Colour Constancy,
ICCV88(9-18).
IEEE DOI CRULE. Described elsewhere as one of the most successful. A theory that reproduces Land's two color experiments. (Or Algorithm in the title rather than Approach). BibRef

Skrzypek, J., Gungner, D.,
Lightness Constancy from Luminance Contrast,
PRAI(6), 1992, pp. 236. BibRef 9200

Hurlbert, A.C., and Poggio, T.A.,
Synthesizing a Color Algorithm from Examples,
Science(239), January 29, 1988, pp. 482-485. BibRef 8801
And:
Learning a Color Algorithm from Examples,
MIT AI Memo-909, June 1987.
WWW Link. BibRef

Hurlbert, A.C.[Anya C.],
The Computation of Color,
MIT AI-TR-1154, September 1989.
WWW Link. BibRef 8909

Kuriki, I., Uchikawa, K.,
Limitations of Surface-Color and Apparent-Color Constancy,
JOSA-A(13), No. 8, August 1996, pp. 1622-1636. 9608
BibRef

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 1: Incremental and Decremental Disks With Varying Diameter,
SV(6), No. 3, 1992, pp. 159-182. BibRef 9200

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 2: Large-Field Asymmetry,
SV(6), No. 4, 1992, pp. 243-263. BibRef 9200

du Buf, J.M.H.,
Brightness Versus Apparent Contrast 3: Blurred Disks and Concentric Cosine Gratings,
SV(6), No. 4, 1992, pp. 265-284. BibRef 9200

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Color Constancy,
JOSA-A(14), No. 7, July 1997, pp. 1393-1411. 9708
BibRef

Freeman, W.T.[William T.], Brainard, D.H.[David H.],
Bayesian Decision Theory, the Maximum Local Mass Estimate,
ICCV95(210-217).
IEEE DOI BibRef 9500

Brainard, D.H., Brunt, W.A., Speigle, J.M.,
Color Constancy in the Nearly Natural Image: I: Asymmetric Matches,
JOSA-A(14), No. 9, September 1997, pp. 2091-2110. 9709
BibRef

Brainard, D.H.,
Color Constancy in the Nearly Natural Image: II: Achromatic Loci,
JOSA-A(15), No. 2, February 1998, pp. 307-325. 9802
BibRef

Allred, S.R.[Sarah R.], Brainard, D.H.[David H.],
Contrast, constancy, and measurements of perceived lightness under parametric manipulation of surface slant and surface reflectance,
JOSA-A(26), No. 4, April 2009, pp. 949-961.
WWW Link. 0903
BibRef

Blohm, W.,
Lightness Determination at Curved Surfaces with Applications to Dynamic-Range Compression and Model-Based Coding of Facial Images,
IP(6), No. 8, August 1997, pp. 1129-1138.
IEEE DOI 9708
BibRef

Boldrin, E., Schettini, R.,
Faithful cross-media color matching using neural networks,
PR(32), No. 3, March 1999, pp. 465-476.
Elsevier DOI BibRef 9903
Earlier:
Cross-media color matching using neural networks,
CIAP97(I: 335-342).
Springer DOI 9709
BibRef

Baeuml, K.H.[Karl-Heinz],
Color constancy: the role of image surfaces in illuminant adjustment,
JOSA-A(16), No. 7, July 1999, pp. 1521-1530. BibRef 9907

Sapiro, G.[Guillermo],
Color and Illuminant Voting,
PAMI(21), No. 11, November 1999, pp. 1210-1215.
IEEE DOI 9912
BibRef
Earlier:
Bilinear Voting,
ICCV98(178-183).
IEEE DOI i.e. Color and Illuminant Color constancy and illuminant estimation. Based on Hough ideas. BibRef

Gilcrist, A., Kossyfidis, C., Bonato, F., Agostini, T., Li, X., Spehar, B., Annan, V., Economou, E.,
An Anchoring Theory of Lightness Perception,
PsychR(106), No. 4, 1999, pp. 795-834. BibRef 9900

Nascimento, S.M.C.[Sérgio M. C.], Foster, D.H.[David H.],
Relational color constancy in achromatic and isoluminant images,
JOSA-A(17), No. 2, February 2000, pp. 225-231. 0002
BibRef

Foster, D.H.[David H.],
The Verriest Lecture: Color vision in an uncertain world,
JOSA-A(35), No. 4, April 2018, pp. B192-B201.
DOI Link 1804
Color, Color vision, Detection, Vision modeling, Color, rendering and metamerism, Information theoretical analysis BibRef

Nascimento, S.M.C.[Sérgio M. C.], Masuda, O.[Osamu],
Psychophysical optimization of lighting spectra for naturalness, preference, and chromatic diversity,
JOSA-A(29), No. 2, February 2012, pp. A144-A152.
WWW Link. 1202
BibRef

Nieves, J.L.[Juan Luis], Nascimento, S.M.C.[Sérgio M. C.], Romero, J.[Javier],
Contrast edge colors under different natural illuminations,
JOSA-A(29), No. 2, February 2012, pp. A240-A246.
WWW Link. 1202
BibRef

Marini, D.[Daniele], Rizzi, A.[Alessandro],
A computational approach to color adaptation effects,
IVC(18), No. 13, October 2000, pp. 1005-1014.
Elsevier DOI 0008
BibRef
Earlier:
A computational approach to color illusions,
CIAP97(I: 62-69).
Springer DOI 9709
BibRef

Abdellatif, M.[Mohamed], Tanaka, Y.[Yutaka], Gofuku, A.[Akio], Nagai, I.[Isaku],
Color Constancy Using the Inter-Reflection from a Reference Nose,
IJCV(39), No. 3, September-October 2000, pp. 171-194.
DOI Link 0101
BibRef

Geusebroek, J.M.[Jan-Mark], van den Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W. M.], Geerts, H.,
Color Invariance,
PAMI(23), No. 12, December 2001, pp. 1338-1350.
IEEE DOI 0112
Measure object reflectance under different imaging conditions. BibRef

Geusebroek, J.M.[Jan-Mark], van den Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W. M.], Gevers, T.[Theo],
Color constancy from physical principles,
PRL(24), No. 11, July 2003, pp. 1653-1662.
Elsevier DOI 0304
BibRef

van de Weijer, J.[Joost], Gevers, T.[Theo], Gijsenij, A.[Arjan],
Edge-Based Color Constancy,
IP(16), No. 9, September 2007, pp. 2207-2214.
IEEE DOI 0709
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Improving Color Constancy by Photometric Edge Weighting,
PAMI(34), No. 5, May 2012, pp. 918-929.
IEEE DOI 1204
Use image derivatives to estimate illumination. Different edge types (material, shadow, highlight) have different effects. BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], Lucassen, M.P.[Marcel P.],
Perceptual analysis of distance measures for color constancy algorithms,
JOSA-A(26), No. 10, October 2009, pp. 2243-2256.
WWW Link. 0910
BibRef
Earlier:
A Perceptual Comparison of Distance Measures for Color Constancy Algorithms,
ECCV08(I: 208-221).
Springer DOI 0810
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy,
IJCV(86), No. 2-3, January 2010, pp. xx-yy.
Springer DOI 1001
BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo],
Color Constancy Using Natural Image Statistics and Scene Semantics,
PAMI(33), No. 4, April 2011, pp. 687-698.
IEEE DOI 1103
BibRef
Earlier:
Color Constancy using Natural Image Statistics,
CVPR07(1-8).
IEEE DOI 0706
BibRef
And:
Color Constancy using Image Regions,
ICIP07(III: 501-504).
IEEE DOI 0709
Attempt to generalize to select best method based on statistics of image. BibRef

Elfiky, N., Gevers, T., Gijsenij, A., Gonzalez, J.,
Color Constancy Using 3D Scene Geometry Derived From a Single Image,
IP(23), No. 9, September 2014, pp. 3855-3868.
IEEE DOI 1410
computational geometry BibRef

Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
Computational Color Constancy: Survey and Experiments,
IP(20), No. 9, September 2011, pp. 2475-2489.
IEEE DOI 1109
Survey, Color Constancy. BibRef

Gijsenij, A.[Arjan], Lu, R., Gevers, T.[Theo],
Color Constancy for Multiple Light Sources,
IP(21), No. 2, February 2012, pp. 697-707.
IEEE DOI 1201
BibRef

Geusebroek, J.M., van den Boomgaard, R.[Rein], Smeulders, A.W.M., Dev, A.,
Color and Scale: The Spatial Structure of Color Images,
ECCV00(I: 331-341).
Springer DOI 0003
BibRef

Geusebroek, J.M.[Jan-Mark], Dev, A.[Anuj], van den Boomgaard, R.[Rein], Smeulders, A.W.M.[Arnold W.M.], Cornelissen, F.[Frans], Geerts, H.[Hugo],
Color Invariant Determination of Material Changes in Reflection and Transmission of Light,
ScaleSpace99(459-464). BibRef 9900

Geusebroek, J.M.[Jan-Mark], Smeulders, A.W.M.[Arnold W.M.],
Measurement of Color Invariants,
CVPR00(I: 50-57).
IEEE DOI 0005
BibRef

Geusebroek, J.M., Koelma, D., Smeulders, A.W.M., Gevers, T.,
Image retrieval and segmentation based on color invariants,
CVPR00(II: 784-785).
IEEE DOI 0403
BibRef

Geusebroek, J.M.,
Compact Object Descriptors from Local Colour Invariant Histograms,
BMVC06(III:1029).
PDF File. 0609
BibRef

Wanderley, J.F.C., Fisher, M.H.,
Multiscale color invariants based on the human visual system,
IP(10), No. 11, November 2001, pp. 1630-1638.
IEEE DOI 0201

See also Spatial-Feature Parametric Clustering Applied to Motion-Based Segmentation in Camouflage. BibRef

Wanderley, J.F.C., Fisher, M.H.,
Multiscale Color and Texture Invariants for Image Recognition,
ICIP01(I: 862-865).
IEEE DOI 0108
BibRef

Pei, S.C.[Soo-Chang], Tseng, C.L.[Ching-Long], Wu, C.C.[Chai-Che],
Using color histogram normalization for recovering chromatic illumination-changed images,
JOSA-A(18), No. 11, November 2001, pp. 2641-2658.
WWW Link. 0201
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Spitzer, H.[Hedva], Semo, S.[Sarit],
Color constancy: a biological model and its application for still and video images,
PR(35), No. 8, August 2002, pp. 1645-1659.
Elsevier DOI 0206
BibRef

Perez, P., Gangnet, M., Blake, A.,
Poisson Image Editing,
SigGraph03(313-318).
WWW Link. BibRef 0300

van Trigt, C.,
Illuminant-Dependence of Von Kries Type Quotients,
IJCV(61), No. 1, January 2005, pp. 5-30.
DOI Link 0410
Von Kries: the cone signal of a reflectance under some illuminant divided by the same cone signal of the illuminant. BibRef

van Trigt, C.,
Linear models in color constancy theory,
JOSA-A(24), No. 9, September 2007, pp. 2684-2691.
WWW Link. 0801
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Hardy, J.L.[Joseph L.], Delahunt, P.B.[Peter B.], Okajima, K.[Katsunori], Werner, J.S.[John S.],
Senescence of spatial chromatic contrast sensitivity. I. Detection under conditions controlling for optical factors,
JOSA-A(22), No. 1, January 2005, pp. 49-59.
WWW Link. 0501
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Delahunt, P.B.[Peter B.], Hardy, J.L.[Joseph L.], Okajima, K.[Katsunori], Werner, J.S.[John S.],
Senescence of spatial chromatic contrast sensitivity. II. Matching under natural viewing conditions,
JOSA-A(22), No. 1, January 2005, pp. 60-67.
WWW Link. 0501
BibRef

van de Weijer, J.[Joost], Gevers, T.[Theo], Bagdanov, A.D.[Andrew D.],
Boosting Color Saliency in Image Feature Detection,
PAMI(28), No. 1, January 2006, pp. 150-156.
IEEE DOI 0512
Incorporate color in the saliency computations. BibRef

Amato, A., Mozerov, M.G., Bagdanov, A.D.[Andrew D.], Gonzalez, J.,
Accurate Moving Cast Shadow Suppression Based on Local Color Constancy Detection,
IP(20), No. 10, October 2011, pp. 2954-2966.
IEEE DOI 1110
BibRef

van de Weijer, J., Gevers, T.,
Boosting Saliency in Color Image Features,
CVPR05(I: 365-372).
IEEE DOI 0507
BibRef

Gevers, T., Smeulders, A.W.M.,
Color Constant Ratio Gradients for Image Segmentation and Similarity of Textured Objects,
CVPR01(I:18-25).
IEEE DOI 0110
BibRef

Gevers, T., Stokman, H.M.G., van de Weijer, J.,
Colour Constancy from Hyper-Spectral Data,
BMVC00(xx-yy).
PDF File. 0009
Color Constancy. BibRef

Gooch, A.A., Olsen, S.C., Tumblin, J., and Gooch, B.,
Color2Gray: salience-preserving color removal,
ToG(24), No. 3, 2005, pp. 634-639. BibRef 0500

Stokman, H.M.G.[Harro M.G.], and Gevers, T.[Theo],
Selection and Fusion of Color Models for Image Feature Detection,
PAMI(29), No. 3, March 2007, pp. 371-381.
IEEE DOI 0702
BibRef
Earlier:
Selection and Fusion of Color Models for Feature Detection,
CVPR05(I: 560-565).
IEEE DOI 0507
Select the best color space for the processing. BibRef

van Gemert, J.C.[Jan C.], Burghouts, G.J.[Gertjan J.], Seinstra, F.J.[Frank J.], Geusebroek, J.M.[Jan-Mark],
Color invariant object recognition using entropic graphs,
IJIST(16), No. 5, 2006, pp. 146-153.
DOI Link 0704
BibRef

Burghouts, G.J.[Gertjan J.], Geusebroek, J.M.[Jan-Mark],
Performance evaluation of local colour invariants,
CVIU(113), No. 1, January 2009, pp. 48-62.
Elsevier DOI 0812
Local descriptors, Colour, SIFT BibRef

Burghouts, G.J.[Gertjan J.], Geusebroek, J.M.[Jan-Mark],
Material-specific adaptation of color invariant features,
PRL(30), No. 3, 1 February 2009, pp. 306-313.
Elsevier DOI 0804
Image modeling, Color, Codebook representation, Texture, Textons BibRef

Ebner, M., Tischler, G., Albert, J.,
Integrating Color Constancy Into JPEG2000,
IP(16), No. 11, November 2007, pp. 2697-2706.
IEEE DOI 0709
BibRef

Agarwal, V., Abidi, B.R., Koschan, A.F., Abidi, M.A.,
An Overview of Color Constancy Algorithms,
JPRR(1), No. 1, 2006, pp. 42-54.
PDF File. Survey, Color Constancy. BibRef 0600

Zickler, T.E.[Todd E.], Mallick, S.P.[Satya P.], Kriegman, D.J.[David J.], Belhumeur, P.N.[Peter N.],
Color Subspaces as Photometric Invariants,
IJCV(79), No. 1, August 2008, pp. xx-yy.
Springer DOI 0804
BibRef
Earlier: CVPR06(II: 2000-2010).
IEEE DOI 0606
BibRef

Chong, H.Y.[Hamilton Y.], Gortler, S.J.[Steven J.], Zickler, T.E.[Todd E.],
The von Kries Hypothesis and a Basis for Color Constancy,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Chakrabarti, A.[Ayan], Hirakawa, K.[Keigo], Zickler, T.E.[Todd E.],
Color Constancy with Spatio-Spectral Statistics,
PAMI(34), No. 8, August 2012, pp. 1509-1519.
IEEE DOI 1206
BibRef
Earlier:
Color constancy beyond bags of pixels,
CVPR08(1-6).
IEEE DOI 0806
Maximum likelihood for removing the color from the dominant scene illuminant. Use statistics of colors in white balanced regions. BibRef

Chakrabarti, A., Freeman, W.T., Zickler, T.E.,
Rethinking color cameras,
ICCP14(1-8)
IEEE DOI 1411
cameras BibRef

Lu, R.[Rui], Xu, D.[De], Yang, X.B.[Xin-Bin], Li, B.[Bing],
Color Constancy Based on Effective Regions,
IEICE(E91-D), No. 7, July 2008, pp. 2091-2094.
DOI Link 0807
BibRef

Li, B.[Bing], Xu, D.[De], Wang, J.H.[Jin-Hua], Lu, R.[Rui],
Color Constancy Based on Image Similarity,
IEICE(E91-D), No. 2, February 2008, pp. 375-378.
DOI Link 0802
BibRef

Lu, R.[Rui], Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Sande, K.[Koen], Geusebroek, J.M.[Jan-Mark], Xu, D.[De],
Color constancy using stage classification,
ICIP09(685-688).
IEEE DOI 0911
BibRef

Lu, R.[Rui], Gijsenij, A.[Arjan], Gevers, T.[Theo], Nedovic, V.[Vladimir], Xu, D.[De], Geusebroek, J.M.[Jan-Mark],
Color constancy using 3D scene geometry,
ICCV09(1749-1756).
IEEE DOI 0909
BibRef

Wang, N.[Ning], Xu, D.[De], Li, B.[Bing],
Edge-Based Color Constancy via Support Vector Regression,
IEICE(E92-D), No. 11, November 2009, pp. 2279-2282.
WWW Link. 0911
BibRef

Li, B.[Bing], Xu, D.[De], Lee, M.H.[Moon Ho], Feng, S.H.[Song-He],
A Multi-Scale Adaptive Grey World Algorithm,
IEICE(E90-D), No. 7, July 2007, pp. 1121-1124.
DOI Link 0707
Color Constancy. Grey-World assumption: the average reflectance of surfaces in the world is achromatic. BibRef

Bianco, S.[Simone], Ciocca, G.[Gianluigi], Cusano, C.[Claudio], Schettini, R.[Raimondo],
Improving Color Constancy Using Indoor-Outdoor Image Classification,
IP(17), No. 12, December 2008, pp. 2381-2392.
IEEE DOI 0811
BibRef
Earlier:
Classification-Based Color Constancy,
Visual08(xx-yy).
Springer DOI 0809
BibRef

Bianco, S.[Simone], Ciocca, G.[Gianluigi], Cusano, C.[Claudio],
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IEEE DOI 1110
Algorithm design and analysis
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Bianco, S.[Simone], Ciocca, G.[Gianluigi], Cusano, C.[Claudio],
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van de Weijer, J.[Joost], Schmid, C.[Cordelia],
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Earlier:
Blur Robust and Color Constant Image Description,
ICIP06(993-996).
IEEE DOI 0610
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van de Weijer, J.[Joost], Schmid, C.[Cordelia], Verbeek, J.[Jakob],
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ICCV07(1-8).
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Gijsenij, A.[Arjan], Gevers, T.[Theo], van de Weijer, J.[Joost],
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Active bayesian color constancy with non-uniform sensors,
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IEEE DOI 0211
Color constancy, Bayesian, Sequential: chaining, Posterior, Prior; Filters: binary, Multiple BibRef

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Color BibRef

Rezagholizadeh, M.[Mehdi], Clark, J.J.[James J.],
Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy,
CRV13(188-195)
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Accuracy BibRef

Clark, J.J., O'Regan, J.K.,
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Lecca, M.[Michela], Messelodi, S.[Stefano],
Computing von Kries Illuminant Changes by Piecewise Inversion of Cumulative Color Histograms,
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Lecca, M.[Michela], Messelodi, S.[Stefano],
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Springer DOI 1109
Color, Illuminant changes, Wien's law, Bradford transform, von Kries model, Intrinsic image BibRef

Ratnasingam, S.[Sivalogeswaran], Collins, S.[Steve],
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JOSA-A(27), No. 2, February 2010, pp. 286-294.
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Optimum Sensors for 'Chromaticity' Constancy in the Pixel,
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Earlier:
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Ratnasingam, S.[Sivalogeswaran], Collins, S.[Steve], Hernández-Andrés, J.[Javier],
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JOSA-A(28), No. 4, April 2011, pp. 541-547.
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To get illuminant-invariant reflectance features from data in the near-ultraviolet (UV) and near-infrared (IR) wavelength regions. Extend:
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Huynh, C.P.[Cong Phuoc], Robles-Kelly, A.[Antonio],
A Solution of the Dichromatic Model for Multispectral Photometric Invariance,
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Simultaneous photometric invariance and shape recovery,
ICCV09(1757-1764).
IEEE DOI 0909
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Earlier:
Optimal Solution of the Dichromatic Model for Multispectral Photometric Invariance,
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Ratnasingam, S.[Sivalogeswaran], Collins, S.[Steve], Hernández-Andrés, J.[Javier],
Optimum sensors for color constancy in scenes illuminated by daylight,
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Ratnasingam, S., McGinnity, T.M.,
Chromaticity Space for Illuminant Invariant Recognition,
IP(21), No. 8, August 2012, pp. 3612-3623.
IEEE DOI 1208
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Ratnasingam, S.[Sivalogeswaran], Robles-Kelly, A.[Antonio],
A spectral reflectance representation for recognition and reproduction,
ICPR12(1900-1903).
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Wu, M.[Meng], Sun, J.[Jun], Zhou, J.[Jun], Xue, G.J.[Geng-Jian],
Color constancy based on texture pyramid matching and regularized local regression,
JOSA-A(27), No. 10, October 2010, pp. 2097-2105.
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Wu, M.[Meng], Luo, K.[Kai], Dang, J.J.[Jian-Jun], Zhou, J.[Jun],
Edge-moment-based color constancy using illumination-coherent regularized regression,
JOSA-A(32), No. 9, September 2015, pp. 1707-1716.
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Machine vision, Illumination, Color, Color vision BibRef

Xue, G.J.[Geng-Jian], Song, L.[Li], Sun, J.[Jun],
Foreground Estimation Based on Linear Regression Model With Fused Sparsity on Outliers,
CirSysVideo(23), No. 8, 2013, pp. 1346-1357.
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Adaptation models BibRef

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Grundhöfer, A.[Anselm], Kurz, D.[Daniel], Thiele, S.[Sebastian], Bimber, O.[Oliver],
Color invariant chroma keying and color spill neutralization for dynamic scenes and cameras,
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Allen, E.C.[Elizabeth C.], Beilock, S.L.[Sian L.], Shevell, S.K.[Steven K.],
Individual differences in simultaneous color constancy are related to working memory,
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Kulikowski, J.J.[Janus J.], Daugirdiene, A.[Ausra], Panorgias, A.[Athanasios], Stanikunas, R.[Rytis], Vaitkevicius, H.[Henrikas], Murray, I.J.[Ian J.],
Systematic violations of von Kries rule reveal its limitations for explaining color and lightness constancy,
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Panorgias, A.[Athanasios], Kulikowski, J.J.[Janus J.], Parry, N.R.A.[Neil R. A.], McKeefry, D.J.[Declan J.], Murray, I.J.[Ian J.],
The relationship between peripherally matched invariant hues and unique hues: a cone-contrast approach,
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Parry, N.R.A.[Neil R. A.], Panorgias, A.[Athanasios], McKeefry, D.J.[Declan J.], Murray, I.J.[Ian J.],
Real-world stimuli show perceived hue shifts in the peripheral visual field,
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Lee, R.J., Smithson, H.E.,
Context-dependent judgments of color that might allow color constancy in scenes with multiple regions of illumination,
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Duncan, C.S.[Chad S.], Roth, E.J.[Eric J.], Mizokami, Y.[Yoko], McDermott, K.C.[Kyle C.], Crognale, M.A.[Michael A.],
Contrast adaptation reveals increased organizational complexity of chromatic processing in the visual evoked potential,
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Vazquez-Corral, J., Vanrell, M.[María], Baldrich, R.[Ramón], Tous, F.[Francesc],
Color Constancy by Category Correlation,
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IEEE DOI 1204
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Vanrell, M.[Maria], Murray, N.[Naila], Benavente, R.[Robert], Párraga, A.[Alejandro], Otazu, X.[Xavier], Baldrich, R.[Ramon],
Perception Based Representations for Computational Colour,
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Tous, F.[Francesc], Vanrell, M.[María], Baldrich, R.[Ramón],
Relaxed Grey-World: Computational Colour Constancy by Surface Matching,
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Chang, F.J.[Feng-Ju], Pei, S.C.[Soo-Chang], Chao, W.L.[Wei-Lun],
Color constancy by chromaticity neutralization,
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Ratnasingam, S.[Sivalogeswaran], Collins, S.[Steve], Hernández-Andrés, J.[Javier],
Analysis of colour constancy algorithms using the knowledge of variation of correlated colour temperature of daylight with solar elevation,
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Banic, N., Loncaric, S.,
Color Cat: Remembering Colors for Illumination Estimation,
SPLetters(22), No. 6, June 2015, pp. 651-655.
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Cameras BibRef

Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Funt, B.,
Evaluating Combinational Illumination Estimation Methods on Real-World Images,
IP(23), No. 3, March 2014, pp. 1194-1209.
IEEE DOI 1403
combinatorial mathematics BibRef

Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Wu, O.[Ou],
Evaluating combinational color constancy methods on real-world images,
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van Trigt, C.,
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JOSA-A(31), No. 2, February 2014, pp. 338-347.
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Vision, color, and visual optics BibRef

Fukuda, K.[Kazuho], Uchikawa, K.[Keiji],
Color constancy in a scene with bright colors that do not have a fully natural surface appearance,
JOSA-A(31), No. 4, April 2014, pp. A239-A246.
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Color vision, Psychophysics BibRef

Mizokami, Y.[Yoko], Yaguchi, H.[Hirohisa],
Color constancy influenced by unnatural spatial structure,
JOSA-A(31), No. 4, April 2014, pp. A179-A185.
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Vision, color, and visual optics, Color vision, Psychophysics BibRef

Murray, I.J., Daugirdiene, A., Panorgias, A., Stanikunas, R., Kulikowski, J.J., Kelly, J.M.F.,
Lightness constancy and its link with cone contrast,
JOSA-A(31), No. 4, April 2014, pp. A350-A356.
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Color vision BibRef

Daugirdiene, A., Kulikowski, J.J., Murray, I.J., Kelly, J.M.F.,
Test illuminant location with respect to the Planckian locus affects chromaticity shifts of real Munsell chips,
JOSA-A(33), No. 3, March 2016, pp. A77-A84.
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Color BibRef

Cheng, D.L.[Dong-Liang], Prasad, D.K.[Dilip K.], Brown, M.S.[Michael S.],
Illuminant estimation for color constancy: Why spatial-domain methods work and the role of the color distribution,
JOSA-A(31), No. 5, May 2014, pp. 1049-1058.
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Cameras, Illumination, Color vision, Color, rendering and metamerism BibRef

Vázquez, J.[Javier],
Colour constancy in natural images through colour naming and sensor sharpening,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
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Faghih, M.M.[Mohammad Mehdi], Moghaddam, M.E.[Mohsen Ebrahimi],
A two-level classification-based color constancy,
SIViP(9), No. 6, September 2015, pp. 1299-1316.
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Liu, Y.[Yang], Gevers, T.[Theo], Li, X.Q.[Xue-Qing],
Color constancy by combining low-mid-high level image cues,
CVIU(140), No. 1, 2015, pp. 1-8.
Elsevier DOI 1509
Color constancy BibRef

Celik, T.[Turgay], Yetgin, Z.[Zeki],
Grey-wavelet: Unifying grey-world and grey-edge colour constancy algorithms,
SIViP(9), No. 8, November 2015, pp. 1889-1896.
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Simao, J.[Josemar], Schneebeli, H.J.A.[Hans Jorg Andreas], Vassallo, R.F.[Raquel Frizera],
Iterative color constancy with temporal filtering for an image sequence with no relative motion between the camera and the scene,
JOSA-A(32), No. 11, November 2015, pp. 2033-2043.
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Zhang, X.S.[Xian-Shi], Gao, S.B.[Shao-Bing], Li, R.X.[Ruo-Xuan], Du, X.Y.[Xin-Yu], Li, C.Y.[Chao-Yi], Li, Y.J.[Yong-Jie],
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IEEE DOI 1602
cellular biophysics BibRef

Morimoto, T.[Takuma], Fukuda, K.[Kazuho], Uchikawa, K.[Keiji],
Effects of surrounding stimulus properties on color constancy based on luminance balance,
JOSA-A(33), No. 3, March 2016, pp. A214-A227.
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Color, Color vision BibRef

Ma, R.[Ruiqing], Kawamoto, K.I.[Ken-Ichiro], Shinomori, K.[Keizo],
Color constancy of color-deficient observers under illuminations defined by individual color discrimination ellipsoids,
JOSA-A(33), No. 3, March 2016, pp. A283-A299.
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Vision, color, and visual optics BibRef

Lee, R.J.[Robert J.], Smithson, H.E.[Hannah E.],
Low levels of specularity support operational color constancy, particularly when surface and illumination geometry can be inferred,
JOSA-A(33), No. 3, March 2016, pp. A306-A318.
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Machine vision BibRef

Zhao, B.[Bin], Xing, E.P.[Eric P.],
Sparse Output Coding for Scalable Visual Recognition,
IJCV(119), No. 1, August 2016, pp. 60-75.
Springer DOI 1608
BibRef
Earlier:
Sparse Output Coding for Large-Scale Visual Recognition,
CVPR13(3350-3357)
IEEE DOI 1309
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Oh, S.W.[Seoung Wug], Kim, S.J.[Seon Joo],
Approaching the computational color constancy as a classification problem through deep learning,
PR(61), No. 1, 2017, pp. 405-416.
Elsevier DOI 1705
Computational color constancy BibRef

Gao, S.B.[Shao-Bing], Zhang, M.[Ming], Li, C.Y.[Chao-Yi], Li, Y.J.[Yong-Jie],
Improving color constancy by discounting the variation of camera spectral sensitivity,
JOSA-A(34), No. 8, August 2017, pp. 1448-1462.
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Image processing, Color, vision BibRef

Aytekin, Ç., Nikkanen, J., Gabbouj, M.,
A Data Set for Camera-Independent Color Constancy,
IP(27), No. 2, February 2018, pp. 530-544.
IEEE DOI 1712
Dataset, Color Constancy. Cameras, Image color analysis, Lighting, Reflectivity, Robustness, Sensitivity, Training, Color constancy, color shading, platform independence BibRef

Woo, S.M., Lee, S.H., Yoo, J.S., Kim, J.O.,
Improving Color Constancy in an Ambient Light Environment Using the Phong Reflection Model,
IP(27), No. 4, April 2018, pp. 1862-1877.
IEEE DOI 1802
Estimation, Image color analysis, Image segmentation, Light sources, Lighting, Reflection, Reflectivity, Color constancy, white balancing BibRef

Amano, K.[Kinjiro], Linhares, J.M.M.[Joao M. M.], Nascimento, S.M.C.[Sergio M. C.],
Color constancy of color reproductions in art paintings,
JOSA-A(35), No. 4, April 2018, pp. B324-B333.
DOI Link 1804
Color, Color, measurement , Color vision, Color, rendering and metamerism BibRef

Kelly, J.M.F.[Jeremiah M. F.], Daugirdiene, A.[Ausra], Kulikowski, J.J.[Janus J.], Murray, I.J.[Ian J.],
Chips in the sunshine: color constancy with real versus simulated Munsell chips under illuminants adjacent to the daylight locus,
JOSA-A(35), No. 4, April 2018, pp. B100-B105.
DOI Link 1804
Color, Color, measurement , Color vision, Colorimetry, Color, rendering and metamerism BibRef

Wan, L.[Lifang], Shinomori, K.[Keizo],
Possible influences on color constancy by motion of color targets and by attention-controlled gaze,
JOSA-A(35), No. 4, April 2018, pp. B309-B323.
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Vision, color, and visual optics , Color vision, Vision - eye movements , Vision modeling , Motion detection, Vision adaptation BibRef

Akbarinia, A.[Arash], Gegenfurtner, K.R.[Karl R.],
Color metamerism and the structure of illuminant space,
JOSA-A(35), No. 4, April 2018, pp. B231-B238.
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Vision - photoreceptors , Spectral discrimination, Color, rendering and metamerism BibRef

Akbarinia, A., Parraga, C.A.[C. Alejandro],
Colour Constancy Beyond the Classical Receptive Field,
PAMI(40), No. 9, September 2018, pp. 2081-2094.
IEEE DOI 1808
Image color analysis, Neurons, Radio frequency, Adaptation models, Color, Brain modeling, Modulation, Colour constancy, centre-surround contrast BibRef

Wang, F.[Fei], Wang, W.[Wei], Qiu, Z.L.[Zhi-Liang],
Color correction algorithm for color constancy finite dimensional linear model under complex illumination,
PRL(116), 2018, pp. 233-237.
Elsevier DOI 1812
Complex illumination, Color constancy, Finite dimension, A linear model, Color correction BibRef

Zhan, H.F.[He-Feng], Shi, S.X.[Song-Xin], Huo, Y.[Yang],
Computational colour constancy based on convolutional neural networks with a cross-level architecture,
IET-IPR(13), No. 8, 20 June 2019, pp. 1304-1313.
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Gao, S., Ren, Y., Zhang, M., Li, Y.,
Combining Bottom-Up and Top-Down Visual Mechanisms for Color Constancy Under Varying Illumination,
IP(28), No. 9, Sep. 2019, pp. 4387-4400.
IEEE DOI 1908
image colour analysis, multiilluminant-based color constancy, human visual system, HVS, spatially varying illumination, biologically inspired vision BibRef

Li, X.Q.A.[Xiao-Qi-Ang], Zhu, Y.Q.[Ya-Qin], Han, J.Y.[Jia-Yue], Li, J.[Jide], Lian, H.C.[Hui-Cheng], Tong, W.Q.[Wei-Qin],
TDCC: top-down semantic aggregation for colour constancy,
IET-IPR(13), No. 11, 19 September 2019, pp. 1944-1950.
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Afifi, M.[Mahmoud], Punnappurath, A.[Abhijith], Finlayson, G.[Graham], Brown, M.S.[Michael S.],
As-projective-as-possible bias correction for illumination estimation algorithms,
JOSA-A(36), No. 1, January 2019, pp. 71-78.
DOI Link 1912
Color constancy, Color rendering, Color spaces, Illumination, Visual system, White light BibRef

Li, Z.J.[Zhi-Jiang], Zhu, H.N.[Hao-Nan], Zhou, C.X.[Chun-Xia], Cao, L.Q.[Li-Qin], Zhong, Y.F.[Yan-Fei], Zeng, T.[Tao], Liu, J.Q.[Jian-Qiang],
A Color Consistency Processing Method for HY-1C Images of Antarctica,
RS(12), No. 7, 2020, pp. xx-yy.
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Qiu, J., Xu, H., Ye, Z.,
Color Constancy by Reweighting Image Feature Maps,
IP(29), 2020, pp. 5711-5721.
IEEE DOI 2005
Image color analysis, Estimation, Feature extraction, Kernel, Computational modeling, Convolution, Task analysis, computer vision BibRef

Laakom, F., Passalis, N., Raitoharju, J., Nikkanen, J., Tefas, A., Iosifidis, A., Gabbouj, M.,
Bag of Color Features for Color Constancy,
IP(29), 2020, pp. 7722-7734.
IEEE DOI 2007
Color constancy, illumination estimation, bag of features, attention mechanism BibRef

Huang, X.W.[Xin-Wei], Li, B.[Bing], Li, S.[Shuai], Li, W.J.[Wen-Juan], Xiong, W.H.[Wei-Hua], Yin, X.W.[Xuan-Wu], Hu, W.M.[Wei-Ming], Qin, H.[Hong],
Multi-Cue Semi-Supervised Color Constancy With Limited Training Samples,
IP(29), 2020, pp. 7875-7888.
IEEE DOI 2007
Color constancy, illumination estimation, white balancing, multi-cue, semi-supervised BibRef

Li, B.[Bing], Qin, H.[Haina], Xiong, W.H.[Wei-Hua], Li, Y.X.[Yang-Xi], Feng, S.[Songhe], Hu, W.M.[Wei-Ming], Maybank, S.[Stephen],
Ranking-Based Color Constancy With Limited Training Samples,
PAMI(45), No. 10, October 2023, pp. 12304-12320.
IEEE DOI 2310
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Kerouh, F., Ziou, D., Jiang, Q.,
Directional statistics-based quality measure for spotlight color images,
SIViP(14), No. 6, September 2020, pp. 1125-1132.
Springer DOI 2008
Color changes with lighting. BibRef

Liu, J.P.[Jin-Ping], He, J.Z.[Jie-Zhou], Xie, Y.F.[Yong-Fang], Gui, W.H.[Wei-Hua], Tang, Z.H.[Zhao-Hui], Ma, T.Y.[Tian-Yu], He, J.B.[Jun-Bin], Niyoyita, J.P.[Jean Paul],
Illumination-Invariant Flotation Froth Color Measuring via Wasserstein Distance-Based CycleGAN With Structure-Preserving Constraint,
Cyber(51), No. 2, February 2021, pp. 839-852.
IEEE DOI 2101
Image color analysis, Lighting, Monitoring, Computational modeling, Light sources, Task analysis, Generative adversarial networks, Wasserstein distance BibRef

Yoo, J.S.[Jun-Sang], Lee, C.H.[Chan-Ho], Kim, J.O.[Jong-Ok],
Deep Dichromatic Model Estimation Under AC Light Sources,
IP(30), 2021, pp. 7064-7073.
IEEE DOI 2108
BibRef
Earlier:
Deep Temporal Color Constancy for AC Light Sources,
VCIP20(217-221)
IEEE DOI 2102
Image color analysis, Computational modeling, Estimation, Task analysis, Dictionaries, Light sources, AC light. cameras, image colour analysis, learning (artificial intelligence), lighting, temporal correlation BibRef

Yoo, J.S.[Jun-Sang], Kim, J.O.[Jong-Ok],
Dichromatic Model Based Temporal Color Constancy for AC Light Sources,
CVPR19(12321-12330).
IEEE DOI 2002
BibRef

Abedini, Z.[Zeinab], Jamzad, M.[Mansour],
Weight-based colour constancy using contrast stretching,
IET-IPR(15), No. 11, 2021, pp. 2424-2440.
DOI Link 2108
BibRef

Domislovic, I.[Ilija], Vršnak, D.[Donik], Subašic, M.[Marko], Loncaric, S.[Sven],
One-net: Convolutional color constancy simplified,
PRL(159), 2022, pp. 31-37.
Elsevier DOI 2206
Illumination estimation, Color constancy, Convolutional neural network, Image color analysis, Image processing BibRef

Li, Y.X.[Yin-Xuan], Yin, H.C.[Hong-Che], Yao, J.[Jian], Wang, H.Y.[Han-Yun], Li, L.[Li],
A unified probabilistic framework of robust and efficient color consistency correction for multiple images,
PandRS(190), 2022, pp. 1-24.
Elsevier DOI 2208
Color correction, Probabilistic framework, Image mosaicking, Multiple images, Parallel BibRef

Vršnak, D.[Donik], Domislovic, I.[Ilija], Subašic, M.[Marko], Loncaric, S.[Sven],
Illuminant segmentation for multi-illuminant scenes using latent illumination encoding,
SP:IC(108), 2022, pp. 116822.
Elsevier DOI 2209
Color constancy, Segmentation, Multi illuminant, Illumination estimation BibRef

Zhao, Y.F.[Yun-Feng], Ferguson, S.[Stuart], Zhou, H.Y.[Hui-Yu], Elliott, C.[Christopher], Rafferty, K.[Karen],
Color Alignment for Relative Color Constancy via Non-Standard References,
IP(31), 2022, pp. 6591-6604.
IEEE DOI 2211
Image color analysis, Cameras, Lighting, Calibration, Standards, Imaging, Reflectivity, Relative colour constancy, camera colour calibration BibRef

Xie, M.[Mengda], Sun, P.[Peng], Lang, Y.[Yubo], Fang, M.[Meie],
Camera-independent color constancy by scene semantics,
PRL(171), 2023, pp. 106-115.
Elsevier DOI 2306
Color constancy, Illuminant estimation, Scene semantics, Gray-based assumptions BibRef

Zhao, Z.C.[Zi-Chen], Hu, H.M.[Hai-Miao], Zhang, H.[Hongda], Chen, F.[Fei], Guo, Q.[Qiang],
Improving Color Constancy Using Chromaticity-Line Prior,
MultMed(25), 2023, pp. 3642-3656.
IEEE DOI 2310
BibRef

Koskinen, S.[Samu], Acar, E.[Erman], Kämäräinen, J.K.[Joni-Kristian],
Single Pixel Spectral Color Constancy,
IJCV(132), No. 2, February 2024, pp. 287-299.
Springer DOI 2402
BibRef

Song, Z.G.[Zheng-Guang], Li, Z.J.[Zhi-Jiang], Cao, L.Q.[Li-Qin], Jiao, L.[Lei], Zhang, X.[Xuan],
GC3: Grouped convolutional color constancy,
PR(158), 2025, pp. 110957.
Elsevier DOI 2411
Color constancy, White balancing, Illuminant estimation, Deep learning BibRef

Entok, U.C.[Umut Cem], Laakom, F.[Firas], Pakdaman, F.[Farhad], Gabbouj, M.[Moncef],
Pixel-Wise Color Constancy Via Smoothness Techniques In Multi-Illuminant Scenes,
ICIP24(2737-2743)
IEEE DOI 2411
Training, Reflectivity, Uncertainty, Smoothing methods, Image color analysis, Lighting, Estimation, Color Constancy, Label-smoothing BibRef

Buzzelli, M.[Marco], Rota, C.[Claudio], Bianco, S.[Simone], Schettini, R.[Raimondo],
Enforcing Temporal Consistency for Color Constancy in Video Sequences,
CCIW24(274-288).
Springer DOI 2410
BibRef

Ulucan, O.[Oguzhan], Ulucan, D.[Diclehan], Ebner, M.[Marc],
Revisiting Color Constancy Using Cnns: Including Recent Observations,
CCIW24(261-273).
Springer DOI 2410
BibRef

Cotogni, M.[Marco], Cusano, C.[Claudio],
Illuminant Equivariant Networks for Computational Color Constancy,
CCIW24(249-260).
Springer DOI 2410
BibRef

Fan, Y.[Yi], Ren, H.Y.[Hao-Yu], Huang, H.[Hsilin],
Fusion Temporal Color Constancy,
ICIP22(2366-2370)
IEEE DOI 2211
Deep learning, Recurrent neural networks, Image color analysis, Estimation, Benchmark testing, Convolutional neural networks, image processing BibRef

Fan, Y.[Yi], Ren, H.Y.[Hao-Yu], Huang, H.[Hsilin],
Fusion Temporal Color Constancy,
ICIP22(2366-2370)
IEEE DOI 2211
Deep learning, Recurrent neural networks, Image color analysis, Estimation, Benchmark testing, Convolutional neural networks BibRef

Ulucan, O.[Oguzhan], Ulucan, D.[Diclehan], Ebner, M.[Marc],
Color Constancy Beyond Standard Illuminants,
ICIP22(2826-2830)
IEEE DOI 2211
Temperature, Image color analysis, Image edge detection, Neural networks, Visual systems, Benchmark testing, White Balance BibRef

Dubuisson, I., Muselet, D., Basso-Bert, Y., Trémeau, A., Laganière, R.,
Predicting the Colors of Reference Surfaces for Color Constancy,
ICIP22(1761-1765)
IEEE DOI 2211
Image color analysis, Estimation, Prediction algorithms, Cameras, Task analysis, Sun, Color constancy, light color estimation, color checker BibRef

Ono, T.[Taishi], Kondo, Y.[Yuhi], Sun, L.[Legong], Kurita, T.[Teppei], Moriuchi, Y.[Yusuke],
Degree-of-linear-polarization-based Color Constancy,
CVPR22(19708-19717)
IEEE DOI 2210
Deep learning, Runtime, Computational modeling, Neural networks, Lighting, Color, Computational photography, Computer vision theory BibRef

Xing, X.Y.[Xiao-Yan], Qian, Y.L.[Yan-Lin], Feng, S.[Sibo], Dong, Y.H.[Yu-Han], Matas, J.G.[Jirí G.],
Point Cloud Color Constancy,
CVPR22(19718-19727)
IEEE DOI 2210
Point cloud compression, Geometry, Cloud computing, Lighting, Estimation, Color, Benchmark testing, Computational photography, Low-level vision BibRef

Afifi, M.[Mahmoud], Barron, J.T.[Jonathan T.], Le Gendre, C.[Chloe], Tsai, Y.T.[Yun-Ta], Bleibel, F.[Francois],
Cross-Camera Convolutional Color Constancy,
ICCV21(1961-1970)
IEEE DOI 2203
Training, Photography, Learning systems, Adaptation models, Image color analysis, Memory management, Training data, Low-level and physics-based vision BibRef

Das, P.[Partha], Liu, Y.[Yang], Karaoglu, S.[Sezer], Gevers, T.[Theo],
Generative Models for Multi-Illumination Color Constancy,
PBDL21(1194-1203)
IEEE DOI 2112
Image color analysis, Lighting, Estimation, Physics, Light sources BibRef

Lo, Y.C.[Yi-Chen], Chang, C.C.[Chia-Che], Chiu, H.C.[Hsuan-Chao], Huang, Y.H.[Yu-Hao], Chen, C.P.[Chia-Ping], Chang, Y.L.[Yu-Lin], Jou, K.[Kevin],
CLCC: Contrastive Learning for Color Constancy,
CVPR21(8049-8059)
IEEE DOI 2111
Deep learning, Visualization, Image color analysis, Computational modeling, Data models BibRef

Laakom, F., Raitoharju, J., Iosifidis, A., Tuna, U., Nikkanen, J., Gabbouj, M.,
Probabilistic Color Constancy,
ICIP20(978-982)
IEEE DOI 2011
Image color analysis, Lighting, Optimization, Estimation, Computational modeling, Task analysis, Probabilistic logic, graph-based learning BibRef

Teng, S.J.J.,
Gain-Pixel Visualization Algorithm Designed for Computational Color Constancy Scheme,
ICIVC20(237-246)
IEEE DOI 2009
Image color analysis, Gray-scale, Mathematical model, Color, Visualization, gain-pixel visualization BibRef

Hernandez-Juarez, D., Parisot, S., Busam, B., Leonardis, A., Slabaugh, G., McDonagh, S.,
A Multi-Hypothesis Approach to Color Constancy,
CVPR20(2267-2277)
IEEE DOI 2008
Image color analysis, Cameras, Training, Bayes methods, Estimation, Task analysis, Light sources BibRef

Xiao, J., Gu, S., Zhang, L.,
Multi-Domain Learning for Accurate and Few-Shot Color Constancy,
CVPR20(3255-3264)
IEEE DOI 2008
Image color analysis, Cameras, Feature extraction, Training data, Training, Estimation, Performance evaluation BibRef

Afifi, M., Brown, M.,
What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance,
ICCV19(243-252)
IEEE DOI 2004
computer graphics, image classification, image colour analysis, image filtering, image segmentation, Image segmentation BibRef

Bianco, S.[Simone], Cusano, C.[Claudio],
Quasi-Unsupervised Color Constancy,
CVPR19(12204-12213).
IEEE DOI 2002
BibRef

Koskinen, S.[Samu], Yang, D.[Dan], Kämäräinen, J.K.[Joni-Kristian],
Reverse Imaging Pipeline for Raw RGB Image Augmentation,
ICIP19(2896-2900)
IEEE DOI 1910
Convert arbitrary images to raw RGB responses of a camera. Data augmentation, imaging pipeline BibRef

Hemrit, G.[Ghalia], Matsushita, F.[Futa], Uchida, M.[Mihiro], Vazquez-Corral, J.[Javier], Gong, H.[Han], Tsumura, N.[Norimichi], Finlayson, G.D.[Graham D.],
Using the Monge-Kantorovitch Transform in Chromagenic Color Constancy for Pathophysiology,
CCIW19(121-133).
Springer DOI 1905
BibRef

Lee, S.H., Woo, S.M., Choi, J.H., Kim, J.O.,
Two-step multi-illuminant color constancy for outdoor scenes,
ICIP17(710-714)
IEEE DOI 1803
Brightness, Clustering algorithms, Color, Estimation, Image color analysis, Indexes, Lighting, RGB correction, two-step color constancy BibRef

Aytekin, C., Nikkanen, J., Gabbouj, M.,
Deep multi-resolution color constancy,
ICIP17(3735-3739)
IEEE DOI 1803
Convolutional neural networks, Estimation, Image color analysis, Image resolution, Lighting, Machine learning, Training, multi-resolution BibRef

Qian, Y., Yan, S., Kämäräinen, J., Matas, J.G.,
Flash Lightens Gray Pixels,
ICIP19(4604-4608)
IEEE DOI 1910
spatial illumination estimation, gray pixel, flash photography, color constancy BibRef

Qian, Y., Chen, K., Nikkanen, J., Kämäräinen, J.K., Matas, J.G.,
Recurrent Color Constancy,
ICCV17(5459-5467)
IEEE DOI 1802
convolution, image colour analysis, image representation, image sequences, learning (artificial intelligence), Videos BibRef

Hu, Y., Wang, B., Lin, S.,
FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling,
CVPR17(330-339)
IEEE DOI 1711
Colored noise, Estimation, Image color analysis, Lighting, Noise measurement, Semantics, Training BibRef

Barron, J.T., Tsai, Y.T.,
Fast Fourier Color Constancy,
CVPR17(6950-6958)
IEEE DOI 1711
Cameras, Histograms, Image color analysis, Standards, BibRef

Qian, Y.L.[Yan-Lin], Chen, K., Kämäräinen, J.K., Nikkanen, J., Matas, J.G.,
Deep structured-output regression learning for computational color constancy,
ICPR16(1899-1904)
IEEE DOI 1705
Benchmark testing, Correlation, Feature extraction, Image color analysis, Lighting, Support vector machines, Training BibRef

Fourure, D., Emonet, R., Fromont, E., Muselet, D., Trémeau, A., Wolf, C.,
Mixed pooling neural networks for color constancy,
ICIP16(3997-4001)
IEEE DOI 1610
Computer architecture BibRef

Cubillas, J.E., Japitana, M.,
The Application Of Support Vector Machine (SVM) Using CIELab Color Model, Color Intensity And Color Constancy As Features For Ortho Image Classification Of Benthic Habitats In Hinatuan, Surigao Del Sur, Philippines,
ISPRS16(B7: 189-194).
DOI Link 1610
BibRef

Lakehal, E.[Elkhamssa], Ziou, D.[Djemel],
Computer Vision Color Constancy from Maximal Projections Mean Assumption,
ICISP16(148-156).
WWW Link. 1606
BibRef

Lou, Z.Y.[Zhong-Yu], Gevers, T.[Theo], Hu, N.H.[Ning-Hang], Lucassen, M.P.[Marcel P.],
Color Constancy by Deep Learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Bianco, S.[Simone], Cusano, C.[Claudio], Schettini, R.[Raimondo],
Color constancy using CNNs,
DeepLearn15(81-89)
IEEE DOI 1510
Estimation BibRef

Prinet, V.[Veronique], Lischinski, D.[Dani], Werman, M.[Michael],
Illuminant Chromaticity from Image Sequences,
ICCV13(3320-3327)
IEEE DOI 1403
Color constancy, Image processing, Low-level vision, White balance BibRef

Ying, X.H.[Xiang-Hua], Hou, L.[Lulu], Hou, Y.B.[Yong-Bo], Kong, J.[Jing], Zha, H.B.[Hong-Bin],
Canonicalized central absolute moment for edge-based color constancy,
ICIP13(2260-2263)
IEEE DOI 1402
Color constancy, Grey-Edge, higherorder image derivatives, moment BibRef

Li, B.[Bing], Xiong, W.H.[Wei-Hua], Hu, W.M.[Wei-Ming], Peng, H.[Houwen],
Illumination Estimation Based on Bilayer Sparse Coding,
CVPR13(1423-1429)
IEEE DOI 1309
color constancy, illumination estimation, sparse coding BibRef

Ratnasingam, S.[Sivalogeswaran], Robles-Kelly, A.[Antonio],
A Biologically Motivated Double-Opponency Approach to Illumination Invariance,
ACCV12(III:296-309).
Springer DOI 1304
BibRef

Eibenberger, E.[Eva], Angelopoulou, E.[Elli],
The importance of the normalizing channel in log-chromaticity space,
ICIP12(825-828).
IEEE DOI 1302
BibRef

Bleier, M.[Michael], Riess, C.[Christian], Beigpour, S.[Shida], Eibenberger, E.[Eva], Angelopoulou, E.[Elli], Troger, T.[Tobias], Kaup, A.[Andre],
Color constancy and non-uniform illumination: Can existing algorithms work?,
Color11(774-781).
IEEE DOI 1201
BibRef

Mathew, A.[Alex], Alex, A.T.[Ann Theja], Asari, V.K.[Vijayan K.],
A manifold based methodology for color constancy,
AIPR10(1-7).
IEEE DOI 1010
BibRef

Akhavan, T.[Tara], Moghaddam, M.E.[Mohsen Ebrahimi],
A new combining learning method for color constancy,
IPTA10(421-425).
IEEE DOI 1007
BibRef

Choudhury, A.[Anustup], Medioni, G.[Gerard],
Color Constancy Using Standard Deviation of Color Channels,
ICPR10(1722-1726).
IEEE DOI 1008
BibRef
Earlier:
Color constancy using denoising methods and cepstral analysis,
ICIP09(1637-1640).
IEEE DOI 0911

See also Perceptually Motivated Automatic Color Contrast Enhancement Based on Color Constancy Estimation. BibRef

Rahtu, E.[Esa], Nikkanen, J.[Jarno], Kannala, J.H.[Ju-Ho], Lepistö, L.[Leena], Heikkilä, J.[Janne],
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy,
CIAP09(873-882).
Springer DOI 0909
BibRef

Gehler, P.V.[Peter Vincent], Rother, C.[Carsten], Blake, A.[Andrew], Minka, T.[Tom], Sharp, T.[Toby],
Bayesian color constancy revisited,
CVPR08(1-8).
IEEE DOI 0806
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Li, C., Hall, P.M.,
Colour Constancy Based on Model Selection,
BMVC07(xx-yy).
PDF File. 0709
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Yuan, X.T.[Xiao-Tong], Li, S.Z.[Stan Z.], He, R.[Ran],
Color Constancy Via Convex Kernel Optimization,
ACCV07(I: 728-737).
Springer DOI 0711
BibRef

Chung, Y.C.[Yun-Chung], Chang, S.L.[Shyang-Lih], Cherng, S.[Shen], Chen, S.W.[Sei-Wang],
The Invariance Properties of Chromatic Characteristics,
PSIVT06(128-137).
Springer DOI 0612
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Bennett, M.[Mike], Quigley, A.[Aaron],
A Method for the Automatic Analysis of Colour Category Pixel Shifts During Dichromatic Vision,
ISVC06(II: 457-466).
Springer DOI 0611
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Abdel-Hakim, A.E.[Alaa E.], Farag, A.A.[Aly A.],
CSIFT: A SIFT Descriptor with Color Invariant Characteristics,
CVPR06(II: 1978-1983).
IEEE DOI 0606
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Vergés-Llahí, J.[Jaume], Sanfeliu, A.[Alberto],
A New Color Constancy Algorithm Based on the Histogram of Feasible Mappings,
ICIAR05(720-728).
Springer DOI 0509
BibRef

Renno, J.P., Makris, D., Ellis, T., Jones, G.A.,
Application and Evaluation of Colour Constancy in Visual Surveillance,
PETS05(301-308).
IEEE DOI 0602
BibRef

Yoon, K.J.[Kuk-Jin], Choi, Y.J.[Yoo Jin], Kweon, I.S.[In-So],
Dichromatic-Based Color Constancy Using Dichromatic Slope and Dichromatic Line Space,
ICIP05(III: 960-963).
IEEE DOI 0512
BibRef

Sridharan, M., Stone, P.,
Autonomous Planned Color Learning on a Mobile Robot Without Labeled Data,
ICARCV06(1-6).
IEEE DOI 0612
BibRef
Earlier:
Towards on-board color constancy on mobile robots,
CRV04(130-137).
IEEE DOI 0408
BibRef

Horiuchi, T.,
Estimation of color for gray-level image by probabilistic relaxation,
ICPR02(III: 867-870).
IEEE DOI 0211
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Mindru, F.[Florica], Moons, T.[Theo], Van Gool, L.J.[Luc J.],
Comparing Intensity Transformations and Their Invariants in the Context of Color Pattern Recognition,
ECCV02(IV: 448 ff.).
Springer DOI 0205
BibRef
Earlier:
Recognizing Color Patterns Irrespective of Viewpoint and Illumination,
CVPR99(I: 368-373).
IEEE DOI BibRef

Berwick, D.[Daniel], Lee, S.W.[Sang Wook],
Increasing the Discrimination Power of Spectral Spatial Gradients,
CVPR01(II:337-342).
IEEE DOI 0110
For color recognition with illumination variations. BibRef

Tsin, Y., Collins, R.T., Ramesh, V., Kanade, T.,
Bayesian Color Constancy for Outdoor Object Recognition,
CVPR01(I:1132-1139).
IEEE DOI 0110
BibRef

Miller, E.G.[Erik G.], Tieu, K.[Kinh],
Color Eigenflows: Statistical Modeling of Joint Color Changes,
ICCV01(I: 607-614).
IEEE DOI 0106
Model color changes due to lighting. BibRef

Rosenberg, C.[Charles], Hebert, M.[Martial], Thrun, S.[Sebastian],
Color Constancy Using KL-Divergence,
ICCV01(I: 239-246).
IEEE DOI 0106
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Li, S.Z.[Stan Z.], Yan, J.[Jie], Hou, X.W.[Xin-Wen], Li, Z.Y.[Ze-Yu], Zhang, H.J.[Hong-Jiang],
Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances,
ICCV01(I: 635-640).
IEEE DOI 0106
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Korhonen, M.[Mika], Heikkilä, J.[Janne], Silvén, O.[Olli],
Intensity Independent Color Models and Visual Tracking,
ICPR00(Vol III: 600-604).
IEEE DOI 0009
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Sánchez, J.M.[Juan M.], Binefa, X.[Xavier],
Improving Visual Recognition Using Color Normalization in Digital Video Applications,
ICME00(TP11). 0007
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Wu, Y.[Ying], Huang, T.,
Color Tracking by Transductive Learning,
CVPR00(I: 133-138).
IEEE DOI 0005
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Angelopoulou, E.,
Objective Colour from Multispectral Imaging,
ECCV00(I: 359-374).
Springer DOI 0003
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Angelopoulou, E., Lee, S., Bajcsy, R.,
Spectral Gradient: A Material Descriptor Invariant to Geometry and Incident Illumination,
ICCV99(861-867).
IEEE DOI BibRef 9900

Moriwaki, K., Nakatani, K.,
Illumination Invariant Detection of Multicolored Object Using Sampled Spectrum Image,
SCIA99(Industrial Applications). BibRef 9900

Tsukada, M.[Masato], Tajima, J.[Johji],
Color Matching Algorithm Based on Computational 'Color Constancy' Theory,
ICIP99(III:60-64).
IEEE DOI BibRef 9900

Abrardo, A.[Andrea], Alparone, L.[Luciano], Cappellini, V.[Vito], Prosperi, A.[Andrea],
Color Constancy from Multispectral Images,
ICIP99(III:570-574).
IEEE DOI BibRef 9900

Forsyth, D.A.,
Sampling, Resampling and Colour Constancy,
CVPR99(I: 300-305).
IEEE DOI BibRef 9900

Fisher, R.B., and Gionis, A.P.,
Surface Reflectance Recovery under Point Light Illumination,
BMVC96(Poster Session 1). 9608
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Buluswar, S.D.[Shashi D.], Draper, B.A.[Bruce A.], Riseman, E.M., and Hanson, A.R.,
Trichromatic Model of Daylight Variation,
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Learning Object Color under Varying Outdoor Illumination,
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Color Recognition in Outdoor Images,
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Buluswar, S.D., Draper, B.A.,
Color Recognition by Learning: ATR in Color Images,
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Wiemker, R.[Rafael],
The Color Constancy Problem: An illumination invariant mapping approach,
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Hwang, P.W., Chen, Y.S., Cheng, F.H., and Hsu, W.H.,
Color Recovery from Biased Illumination: Color Constancy,
CVPR93(631-632).
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Ohta, Y., Hayashi, Y.,
Recovery of Illuminant and Surface Colors from Images Based on the CIE Daylight,
ECCV94(B:234-246).
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Tsukada, M., and Ohta, Y.,
An Approach to Color Constancy Using Multiple Images,
ICCV90(385-389).
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Reliable Color Labelling,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
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