4.11.5.1 Retinex

Chapter Contents (Back)
Retinex.
See also Color Constancy, Retinex.

Land, E.H.,
The Retinex,
AmSci(52), 1964, pp. 247-264. BibRef 6400

Land, E.H., and McCann, J.J.,
Lightness and Retinex Theory,
JOSA(61), No. 1, 1971, pp. 1-11. Retinex. The original color constancy paper. A less technical version appeared in Scientific American about 1978. BibRef 7100

Land, E.H.,
The Retinex Theory of Color Vision,
SciAmer(237), 1977, pp. 108-129. BibRef 7700

McCann, J.J., McKee, S.P., Taylor, T.H.,
Quantitative Studies in Retinex Theory,
Vision Research(16), 1976, pp. 445-458. BibRef 7600

Funt, B.V., Ciurea, F., McCann, J.J.,
Retinex in Matlab,
JEI(13), No. 1, January 2004, pp. 48-57.
HTML Version. Code, Retinex. Code, Retinex, Matlab.
WWW Link. BibRef 0401

Brainard, D.H., Wandell, B.A.,
Analysis of the Retinex Theory of Color Vision,
JOSA-A(3), 1986, pp. 1651-1661. BibRef 8600

Jobson, D.J., Rahman, Z.U., Woodell, G.A.,
A Multiscale Retinex for Bridging the Gap Between Color Images and the Human Observation of Scenes,
IP(6), No. 7, July 1997, pp. 965-976.
IEEE DOI 9707
BibRef

Rahman, Z.U.[Zia-Ur], Jobson, D.J.[Daniel J.], Woodell, G.A.[Glenn A.],
Investigating the relationship between image enhancement and image compression in the context of the multi-scale retinex,
JVCIR(22), No. 3, April 2011, pp. 237-250.
Elsevier DOI 1103
BibRef
Earlier:
Multi-Scale Retinex for Color Image Enhancement,
ICIP96(III: 1003-1006).
IEEE DOI Image enhancement, Inverting image transforms, Compression; Multi-scale retinex, End-to-end systems analysis, Image retrieval; Visual communications channel design, Survey of image compression usage in space imaging BibRef

Provenzi, E.[Edoardo], de Carli, L.[Luca], Rizzi, A.[Alessandro], Marini, D.[Daniele],
Mathematical definition and analysis of the Retinex algorithm,
JOSA-A(22), No. 12, December 2005, pp. 2613-2621.
WWW Link. 0601
BibRef

Provenzi, E.[Edoardo], Fierro, M., Rizzi, A.[Alessandro], de Carli, L.[Luca], Gadia, D., Marini, D.[Daniele],
Random Spray Retinex: A New Retinex Implementation to Investigate the Local Properties of the Model,
IP(16), No. 1, January 2007, pp. 162-171.
IEEE DOI 0701
BibRef

Provenzi, E.[Edoardo], Gatta, C.[Carlo], Fierro, M.[Massimo], Rizzi, A.[Alessandro],
A Spatially Variant White-Patch and Gray-World Method for Color Image Enhancement Driven by Local Contrast,
PAMI(30), No. 10, October 2008, pp. 1757-1770.
IEEE DOI 0810
Combine 2 variations on color constance/retinex: White Patch (WP): Random Spray Retinex and Gray-World (GW): ACE for color correction. BibRef

Bertalmío, M.[Marcelo], Caselles, V.[Vicent], Provenzi, E.[Edoardo],
Issues About Retinex Theory and Contrast Enhancement,
IJCV(83), No. 1, June 2009, pp. xx-yy.
Springer DOI 0903
Model relies on the computation of the expectation value of a suitable random variable weighted with a kernel function. Consistent with Land formulation. BibRef

Kimmel, R.[Ron], Elad, M.[Michael], Shaked, D.[Doron], Keshet, R.[Renato], Sobel, I.[Irwin],
A Variational Framework for Retinex,
IJCV(52), No. 1, April 2003, pp. 7-23.
DOI Link 0301
BibRef

Elad, M.[Michael], Kimmel, R.[Ron], Shaked, D.[Doron], Keshet, R.[Renato],
Reduced complexity Retinex algorithm via the variational approach,
JVCIR(14), No. 4, December 2003, pp. 369-388.
Elsevier DOI 0401
efficient implementation of
See also Variational Framework for Retinex, A. BibRef

Herscovitz, M.[Marius], Yadid-Pecht, O.[Orly],
A modified Multi Scale Retinex algorithm with an improved global impression of brightness for wide dynamic range pictures,
MVA(15), No. 4, October 2004, pp. 220-228.
Springer DOI 0410
BibRef

Ebner, M.[Marc],
Evolving color constancy,
PRL(27), No. 11, August 2006, pp. 1220-1229.
Elsevier DOI 0606
BibRef
Earlier:
Color Constancy Using Local Color Shifts,
ECCV04(Vol III: 276-287).
Springer DOI 0405
BibRef
Earlier:
Combining White-Patch Retinex and the Gray World Assumption to Achieve Color Constancy for Multiple Illuminants,
DAGM03(60-67).
Springer DOI 0310
Genetic programming, Local space average color BibRef

Ebner, M.[Marc],
Color constancy based on local space average color,
MVA(20), No. 5, July 2009, pp. xx-yy.
Springer DOI 0906
BibRef
Earlier:
How Does the Brain Arrive at a Color Constant Descriptor?,
BVAI07(84-93).
Springer DOI 0710
BibRef

Cheung, H.K.[Hoi-Kok], Siu, W.C.[Wan-Chi], Feng, D.[Dagan], Wang, Z.Y.[Zhi-Yong],
An efficient retinex-like brightness normalization method for coding camera flashes and strong brightness variation in videos,
SP:IC(25), No. 3, March 2010, pp. 143-162.
Elsevier DOI 1003
BibRef
Earlier:
Windowing technique for the DCT based retinex algorithm to handle videos with brightness variations coded using the H.264,
ICIP08(2860-2863).
IEEE DOI 0810
Video coding, Motion estimation, Brightness variation, Retinex image BibRef

Chen, S.H.[Shao-Hua], Beghdadi, A.[Azeddine],
Natural Enhancement of Color Image,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1003
BibRef
Earlier:
Natural Rendering of Color Image based on Retinex,
ICIP09(1813-1816).
IEEE DOI 0911
BibRef

Morel, J.M.[Jean-Michel], Petro, A.B.[Ana Belén], Sbert, C.[Catalina],
A PDE Formalization of Retinex Theory,
IP(19), No. 11, November 2010, pp. 2825-2837.
IEEE DOI 1011
BibRef

Petro, A.B.[Ana Belén], Sbert, C.[Catalina], Morel, J.M.[Jean-Michel],
Multiscale Retinex,
IPOL(2014), No. 1, 2014, pp. 71-88.
DOI Link 1405
Code, Retinex. BibRef

Limare, N.[Nicolas], Petro, A.B.[Ana Belén], Sbert, C.[Catalina], Morel, J.M.[Jean-Michel],
Retinex Poisson Equation: a Model for Color Perception,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Retinex. BibRef

Morel, J.M.[Jean-Michel], Petro, A.B.[Ana-Belen], Sbert, C.[Catalina],
Screened Poisson Equation for Image Contrast Enhancement,
IPOL(2014), No. 2014, pp. 16-29.
DOI Link 1404
Code, Retinex.
See also Poisson Image Editing. BibRef

Ng, M.K.[Michael K.], Wang, W.[Wei],
A Total Variation Model For Retinex,
SIIMS(4), No. 1, 2011, pp. 345-365.
DOI Link 1106
Retinex, total variation, energy functional, alternating minimization BibRef

Zhao, Q.[Qi], Tan, P.[Ping], Dai, Q.A.[Qi-Ang], Shen, L.[Li], Wu, E.[Enhua], Lin, S.[Stephen],
A Closed-Form Solution to Retinex with Nonlocal Texture Constraints,
PAMI(34), No. 7, July 2012, pp. 1437-1444.
IEEE DOI 1205
Intrinsic image decomposition based on retinex and texture. Local gradient and distant pixels using texture. BibRef

Shukri, D.S.M.[D'Yia Sarah Md], Asmuni, H.[Hishammuddin], Othman, R.M.[Razib M.], Hassan, R.[Rohayanti],
An improved multiscale retinex algorithm for motion-blurred iris images to minimize the intra-individual variations,
PRL(34), No. 9, July 2013, pp. 1071-1077.
Elsevier DOI 1305
Homomorphic filtering, Motion-blurred iris, Multiscale retinex BibRef

Banic, N., Loncaric, S.,
Light Random Sprays Retinex: Exploiting the Noisy Illumination Estimation,
SPLetters(20), No. 12, 2013, pp. 1240-1243.
IEEE DOI 1311
Image color analysis BibRef

Wang, L.Q.[Li-Qian], Xiao, L.[Liang], Liu, H.Y.[Hong-Yi], Wei, Z.H.[Zhi-Hui],
Variational Bayesian Method for Retinex,
IP(23), No. 8, August 2014, pp. 3381-3396.
IEEE DOI 1408
computer vision BibRef

Wang, Y.K.[Yuan-Kai], Huang, W.B.[Wen-Bin],
A CUDA-enabled parallel algorithm for accelerating retinex,
RealTimeIP(9), No. 3, September 2014, pp. 407-425.
WWW Link. 1408
BibRef

Gianini, G.[Gabriele], Manenti, A.[Andrea], Rizzi, A.[Alessandro],
QBRIX: a quantile-based approach to retinex,
JOSA-A(31), No. 12, December 2014, pp. 2663-2673.
DOI Link 1412
Image processing, Image enhancement BibRef

Jiang, B.[Bo], Woodell, G.A.[Glenn A.], Jobson, D.J.[Daniel J.],
Novel multi-scale retinex with color restoration on graphics processing unit,
RealTimeIP(10), No. 2, June 2015, pp. 239-253.
WWW Link. 1506
BibRef

Liang, J.W.[Jing-Wei], Zhang, X.[Xiaoqun],
Retinex by Higher Order Total Variation L1 Decomposition,
JMIV(52), No. 3, July 2015, pp. 345-355.
WWW Link. 1506
BibRef

Zosso, D.[Dominique], Tran, G.[Giang], Osher, S.J.[Stanley J.],
Non-Local Retinex: A Unifying Framework and Beyond,
SIIMS(8), No. 2, 2015, pp. 787-826.
DOI Link 1507
BibRef

Lecca, M.[Michela], Rizzi, A.[Alessandro],
Tuning the locality of filtering with a spatially weighted implementation of random spray Retinex,
JOSA-A(32), No. 10, October 2015, pp. 1876-1887.
DOI Link 1511
Image processing, Image enhancement BibRef

Wang, W.[Wei], He, C.J.[Chuan-Jiang],
A Variational Model with Barrier Functionals for Retinex,
SIIMS(8), No. 3, 2015, pp. 1955-1980.
DOI Link 1511
BibRef

Lecca, M.[Michela], Rizzi, A.[Alessandro], Serapioni, R.P.[Raul Paolo],
GREAT: a gradient-based color-sampling scheme for Retinex,
JOSA-A(34), No. 4, April 2017, pp. 513-522.
DOI Link 1704
Image processing, Image enhancement, Color BibRef

Lecca, M.[Michela], Rizzi, A.[Alessandro], Serapioni, R.P.[Raul Paolo],
GRASS: A Gradient-Based Random Sampling Scheme for Milano Retinex,
IP(26), No. 6, June 2017, pp. 2767-2780.
IEEE DOI 1705
computational complexity, image colour analysis, image sampling, 2D sampling, ETR paths, ETR sampling scheme, GRASS scheme, Milano retinex, computational complexity, digital image, energy-driven termite retinex, flat image regions, gradient-based random sampling scheme, human color sensation estimation, image aware sampling principle, image pixel salient detection, image portions, local reference white, local visual properties, BibRef

Liu, C.J.[Chang-Jiang], Cheng, I.[Irene], Zhang, Y.[Yi], Basu, A.[Anup],
Enhancement of low visibility aerial images using histogram truncation and an explicit Retinex representation for balancing contrast and color consistency,
PandRS(128), No. 1, 2017, pp. 16-26.
Elsevier DOI 1706
Multi-scale, Retinex BibRef

Liu, H.[Haoting], Lu, H.Q.[Han-Qing], Zhang, Y.[Yu],
Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex,
IET-IPR(11), No. 9, September 2017, pp. 786-795.
DOI Link 1709
BibRef

Zhang, R.[Rui], Feng, X.C.[Xiang-Chu], Yang, L.[Lixia], Chang, L.H.[Li-Hong], Xu, C.[Chen],
Global sparse gradient guided variational Retinex model for image enhancement,
SP:IC(58), No. 1, 2017, pp. 270-281.
Elsevier DOI 1710
Global sparse gradient BibRef

Pu, Y.F., Siarry, P., Chatterjee, A., Wang, Z.N., Yi, Z., Liu, Y.G., Zhou, J.L., Wang, Y.,
A Fractional-Order Variational Framework for Retinex: Fractional-Order Partial Differential Equation-Based Formulation for Multi-Scale Nonlocal Contrast Enhancement with Texture Preserving,
IP(27), No. 3, March 2018, pp. 1214-1229.
IEEE DOI 1801
Fractional calculus, Histograms, Image color analysis, Image edge detection, Medical services, fractional-order steepest descent method BibRef

Gao, Y., Hu, H.M., Li, B., Guo, Q.,
Naturalness Preserved Nonuniform Illumination Estimation for Image Enhancement Based on Retinex,
MultMed(20), No. 2, February 2018, pp. 335-344.
IEEE DOI 1801
Algorithm design and analysis, Estimation, Filtering algorithms, Image decomposition, Image edge detection, Lighting, Reflectivity, non-uniform illumination BibRef

Lecca, M.[Michela], Simone, G.[Gabriele], Bonanomi, C.[Cristian], Rizzi, A.[Alessandro],
Point-based spatial colour sampling in Milano-Retinex: a survey,
IET-IPR(12), No. 6, June 2018, pp. 833-849.
DOI Link 1805
BibRef

Qiu, T.[Tao], Wen, C.[Chang], Xie, K.[Kai], Wen, F.Q.[Fang-Qing], Sheng, G.Q.[Guan-Qun], Tang, X.G.[Xin-Gong],
Efficient medical image enhancement based on CNN-FBB model,
IET-IPR(13), No. 10, 22 August 2019, pp. 1736-1744.
DOI Link 1909
FBB: frequency band broadening. Retinex model. BibRef

Lecca, M.[Michela], Messelodi, S.[Stefano],
SuPeR: Milano Retinex implementation exploiting a regular image grid,
JOSA-A(36), No. 8, August 2019, pp. 1423-1432.
DOI Link 1912
Color spaces, Color vision, Image enhancement, Image processing, Noise reduction, Nonlinear spatial filtering BibRef

Gu, Z., Li, F., Fang, F., Zhang, G.,
A Novel Retinex-Based Fractional-Order Variational Model for Images With Severely Low Light,
IP(29), 2020, pp. 3239-3253.
IEEE DOI 2002
Retinex, low-light image, fractional-order, variational model, image enhancement, reflectance, illumination BibRef

Xu, J.[Jun], Hou, Y.K.[Ying-Kun], Ren, D.W.[Dong-Wei], Liu, L.[Li], Zhu, F.[Fan], Yu, M.Y.[Meng-Yang], Wang, H.Q.[Hao-Qian], Shao, L.[Ling],
STAR: A Structure and Texture Aware Retinex Model,
IP(29), 2020, pp. 5022-5037.
IEEE DOI 2003
Lighting, Image color analysis, Image enhancement, Image decomposition, Visualization, Fans, Optimization, color correction BibRef

Du, X.Y.[Xiao-Yu], Xia, Y.S.[You-Shen],
Natural Images Enhancement Using Structure Extraction and Retinex,
ACIVS20(408-420).
Springer DOI 2003
BibRef

Tang, M., Xie, F., Zhang, R., Jiang, Z., Bovik, A.C.,
A Local Flatness Based Variational Approach to Retinex,
IP(29), 2020, pp. 7217-7232.
IEEE DOI 2007
Lighting, Image color analysis, Computational modeling, Adaptation models, Visualization, Dispersion, Image reconstruction, vatiational approach BibRef

Ma, L., Jin, D., Liu, R., Fan, X., Luo, Z.,
Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement,
SPLetters(27), 2020, pp. 1210-1214.
IEEE DOI 2007
Exposure correction, illumination estimation, image enhancement BibRef

Matin, F.[Farzin], Jeong, Y.[Yoosoo], Park, H.[Hanhoon],
Retinex-Based Image Enhancement with Particle Swarm Optimization and Multi-Objective Function,
IEICE(E103-D), No. 12, December 2020, pp. 2721-2724.
WWW Link. 2012
BibRef


Liu, L., Pang, Z.F., Duan, Y.,
A novel variational model for retinex in presence of severe noises,
ICIP17(3490-3494)
IEEE DOI 1803
Brain modeling, Data models, Lighting, Mathematical model, Nonhomogeneous media, Numerical models, TV, ADMM, Retinex, denoising, intensity inhomogeneity BibRef

Cai, B., Xu, X., Guo, K., Jia, K., Hu, B., Tao, D.,
A Joint Intrinsic-Extrinsic Prior Model for Retinex,
ICCV17(4020-4029)
IEEE DOI 1802
Estimation, Image color analysis, Image edge detection, Lighting, Linear programming, Shape, Smoothing methods BibRef

Lecca, M.[Michela],
Color Vision Is a Spatial Process: The Retinex Theory,
CCIW17(26-39).
Springer DOI 1704
BibRef

Provenzi, E.[Edoardo],
Similarities and Differences in the Mathematical Formalizations of the Retinex Model and Its Variants,
CCIW17(55-67).
Springer DOI 1704
BibRef

Lecca, M.[Michela], Modena, C.M.[Carla M.], Rizzi, A.[Alessandro],
T-Rex: A Milano Retinex Implementation Based on Intensity Thresholding,
CCIW17(68-79).
Springer DOI 1704
BibRef

Morel, J.M.[Jean-Michel], Petro, A.B.[Ana Belen], Sbert, C.[Catalina],
What is the right center/surround for Retinex?,
ICIP14(4552-4556)
IEEE DOI 1502
Retinex;center/surround BibRef

Setty, S.[Sreenivasa], Srinath, N.K., Hanumantharaju, M.C.,
Development of multiscale retinex algorithm for medical image enhancement based on multi-rate sampling,
ICSIPR13(145-150).
IEEE DOI 1304
BibRef

Li, B.[Bo], Wang, S.H.[Shu-Hang], Geng, Y.B.[Yan-Bing],
Image enhancement based on Retinex and lightness decomposition,
ICIP11(3417-3420).
IEEE DOI 1201
BibRef

Wang, Y.K.[Yuan-Kai], Huang, W.B.[Wen-Bin],
Acceleration of an improved Retinex algorithm,
ECVW11(72-77).
IEEE DOI 1106
BibRef

Ma, W.[Wenye], Morel, J.M.[Jean-Michel], Osher, S.J.[Stanley J.], Chien, A.[Aichi],
An L1-based variational model for Retinex theory and its application to medical images,
CVPR11(153-160).
IEEE DOI 1106
BibRef

Kyung, W.J.[Wang-Jun], Kim, D.C.[Dae-Chul], Ha, Y.H.[Yeong-Ho],
Real-time multi-scale Retinex to enhance night scene of vehicular camera,
FCV11(1-4).
IEEE DOI 1102
BibRef

Shen, C.T.[Chih-Tsung], Hwang, W.L.[Wen-Liang],
Color image enhancement using retinex with robust envelope,
ICIP09(3141-3144).
IEEE DOI 0911
BibRef

Okuno, T.[Takeshi], Nishitani, T.[Takao],
Efficient multi-scale retinex algorithm using multi-rate image processing,
ICIP09(3145-3148).
IEEE DOI 0911
BibRef

Lin-yan, C.[Cui], Bin-dang, X.[Xue], Xiao-guang, C.[Cao],
An Improved Retinex Image Enhancement Technique for Dim Target Extraction in Infrared Images,
CISP09(1-5).
IEEE DOI 0910
BibRef

Wu, J.[Jing], Wang, Z.[Ziwu], Fang, Z.X.[Zhi-Xia],
Application of Retinex in Color Restoration of Image Enhancement to Night Image,
CISP09(1-4).
IEEE DOI 0910
BibRef

Cinque, L.[Luigi], Morrone, G.[Gabriele],
Retinex Combined with Total Variation for Image Illumination Normalization,
CIAP09(958-964).
Springer DOI 0909
BibRef

Jang, J.H.[Jae Ho], Choi, B.[Boorym], Kim, S.D.[Sung Deuk], Ra, J.B.[Jong Beom],
Sub-Band Decomposed Multiscale Retinex with Space Varying Gain,
ICIP08(3168-3171).
IEEE DOI 0810

See also Contrast-Enhanced Fusion of Multisensor Images Using Subband-Decomposed Multiscale Retinex. BibRef

Takahashi, H., Saito, T., Komatsu, T.,
Variational Retinex Algorithm with its Application to a High-Quality Chroma Key,
ICIP06(977-980).
IEEE DOI 0610
BibRef

Kela, N.[Nikunj], Rattani, A.[Ajita], Gupta, P.[Phalguni],
Illumination Invariant Elastic Bunch Graph Matching for Efficient Face Recognition,
Biometrics06(42).
IEEE DOI 0609
Applies retinex and color constancy. BibRef

Elad, M.[Michael],
Retinex by Two Bilateral Filters,
ScaleSpace05(217-229).
Springer DOI 0505
BibRef

Wang, H.T.[Hai-Tao], Li, S.Z., Wang, Y.S.[Yang-Sheng],
Generalized quotient image,
CVPR04(II: 498-505).
IEEE DOI 0408
Face Recognition. Unifed framework for face recognition. QI. Spherical Harmonic, Image Ratio, and Retinex. BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Color Constancy, Recognition, Simon Fraser Univ. (Funt and Finlayson) Papers .


Last update:Nov 30, 2021 at 22:19:38