19.4.2 Demosaicing, Demosaicking

Chapter Contents (Back)
Demosaic. Demosaicking. Color camera analysis.

Kimmel, R.,
Demosaicing: Image Reconstruction from Color CCD Samples,
IP(8), No. 9, September 1999, pp. 1221-1228.
IEEE DOI BibRef 9909
Earlier: ECCV98(I: 610).
Springer DOI BibRef

Mukherjee, J.[Jayanta], Parthasarathi, R., Goyal, S.,
Markov random field processing for color demosaicing,
PRL(22), No. 3-4, March 2001, pp. 339-351.
Elsevier DOI 0105
BibRef

Longere, P., Zhang, X.M.[Xue-Mei], Delahunt, P.B., Brainard, D.H.,
Perceptual assessment of demosaicing algorithm performance,
PIEEE(90), No. 1, January 2002, pp. 123-132.
IEEE DOI 0201
BibRef

Lu, W.M.[Wen-Miao], Tan, Y.P.[Yap-Peng],
Color filter array demosaicking: New method and performance measures,
IP(12), No. 10, October 2003, pp. 1194-1210.
IEEE DOI 0310
BibRef

Lian, N.X.[Nai-Xiang], Tan, Y.P.[Yap-Peng],
An Efficient and Effective Color Filter Array Demosaicking Method,
ICIP07(IV: 225-228).
IEEE DOI 0709
BibRef

Wu, X.L.[Xio-Lin], Zhung, N.[Ning],
Primary-Consistent Soft-Decision Color Demosaicking for Digital Cameras (Patent Pending),
IP(13), No. 9, September 2004, pp. 1263-1274.
IEEE DOI 0409
BibRef
Earlier:
Primary-consistent soft-decision color demosaic for digital cameras,
ICIP03(I: 477-480).
IEEE DOI 0312
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
Universal demosaicking for imaging pipelines with an RGB color filter array,
PR(38), No. 11, November 2005, pp. 2208-2212.
Elsevier DOI 0509
BibRef

Muresan, D.D., Parks, T.W.,
Demosaicing Using Optimal Recovery,
IP(14), No. 2, February 2005, pp. 267-278.
IEEE DOI 0501

See also Adaptively Quadratic (AQua) Image Interpolation. BibRef

Trussell, H.J., Hartwig, R.E.,
Mathematics for Demosaicking,
IP(11), No. 4, April 2002, pp. 485-492.
IEEE DOI 0205
BibRef

Trussell, H.J.,
A MMSE Estimate for Demosaicking,
ICIP01(III: 358-361).
IEEE DOI 0108
BibRef

Lukac, R., Martin, K., Plataniotis, K.N.,
Demosaicked Image Postprocessing Using Local Color Ratios,
CirSysVideo(14), No. 6, June 2004, pp. 914-920.
IEEE Abstract. 0407
BibRef

Lukac, R.[Rastislav], Plataniotis, K.N.[Konstantinos N.],
A robust, cost-effective post-processor for enhancing demosaicked camera images,
RealTimeImg(11), No. 2, April 2005, pp. 139-150.
Elsevier DOI 0506
BibRef
Earlier:
A normalized model for color-ratio based demosaicking schemes,
ICIP04(III: 1657-1660).
IEEE DOI 0505
BibRef

Li, X.,
Demosaicing by Successive Approximation,
IP(14), No. 3, March 2005, pp. 370-379.
IEEE DOI 0501
BibRef

Alleysson, D.[David], Susstrunk, S., Herault, J.[Jeanny],
Linear Demosaicing Inspired by the Human Visual System,
IP(14), No. 4, April 2005, pp. 439-449.
IEEE DOI 0501
BibRef

de Lavarene, B.C.[Brice Chaix], Alleysson, D.[David], Herault, J.[Jeanny],
Practical implementation of LMMSE demosaicing using luminance and chrominance spaces,
CVIU(107), No. 1-2, July-August 2007, pp. 3-13.
Elsevier DOI 0706
Demosaicing, Demosaicking, Interpolation, Color, Luminance, Chrominance; Wiener filtering BibRef

Hirakawa, K., Parks, T.W.,
Adaptive Homogeneity-Directed Demosaicing Algorithm,
IP(14), No. 3, March 2005, pp. 360-369.
IEEE DOI 0501
BibRef
Earlier: ICIP03(III: 669-672).
IEEE DOI 0312
BibRef

Mukherjee, J.[Jayanta], Lang, M.K.[Manfred K.], Mitra, S.K.,
Demosaicing of images obtained from single-chip imaging sensors in YUV color space,
PRL(26), No. 7, 15 May 2005, pp. 985-997.
Elsevier DOI 0506
BibRef

Zhang, L.[Lei], Wu, X.L.[Xiao-Lin],
Color Demosaicking Via Directional Linear Minimum Mean Square-Error Estimation,
IP(14), No. 12, December 2005, pp. 2167-2178.
IEEE DOI 0512
BibRef
Earlier: A2, A1:
Joint Spatial-Temporal Color Demosaicking,
SCIA05(235-252).
Springer DOI 0506

See also Zhang-Wu Directional LMMSE Image Demosaicking. BibRef

Wu, X.L.[Xiao-Lin], Zhang, L.[Lei],
Temporal color video demosaicking via motion estimation and data fusion,
CirSysVideo(16), No. 2, February 2006, pp. 231-240.
IEEE DOI 0604
BibRef
Earlier:
Temporal color video demosaicking via motion estimation and optimal data fusing,
ICIP04(V: 3511-3514).
IEEE DOI 0505
BibRef

Wu, X.L.[Xiao-Lin], Zhang, L.[Lei],
Improvement of Color Video Demosaicking in Temporal Domain,
IP(15), No. 10, October 2006, pp. 3138-3151.
IEEE DOI 0609
BibRef

Dubois, E.,
Frequency-Domain Methods for Demosaicking of Bayer-Sampled Color Images,
SPLetters(12), No. 12, December 2005, pp. 847-850.
IEEE DOI 0512
BibRef

Dubois, E.,
Filter Design for Adaptive Frequency-Domain Bayer Demosaicking,
ICIP06(2705-2708).
IEEE DOI 0610
BibRef

Jeon, G., Dubois, E.,
Demosaicking of Noisy Bayer-Sampled Color Images With Least-Squares Luma-Chroma Demultiplexing and Noise Level Estimation,
IP(22), No. 1, January 2013, pp. 146-156.
IEEE DOI 1301
BibRef

Leung, B., Jeon, G.G.[Gwang-Gil], Dubois, E.,
Least-Squares Luma-Chroma Demultiplexing Algorithm for Bayer Demosaicking,
IP(20), No. 7, July 2011, pp. 1885-1894.
IEEE DOI 1107
BibRef

Hirakawa, K., Parks, T.W.,
Joint Demosaicing and Denoising,
IP(15), No. 8, August 2006, pp. 2146-2157.
IEEE DOI 0606
BibRef
Earlier: ICIP05(III: 309-312).
IEEE DOI 0512
BibRef

Chung, K.H., Chan, Y.H.,
Color Demosaicing Using Variance of Color Differences,
IP(15), No. 10, October 2006, pp. 2944-2955.
IEEE DOI 0609
BibRef

Lian, N.X.[Nai-Xiang], Chang, L.[Lanlan], Zagorodnov, V.[Vitali], Tan, Y.P.[Yap-Peng],
Reversing Demosaicking and Compression in Color Filter Array Image Processing: Performance Analysis and Modeling,
IP(15), No. 11, November 2006, pp. 3261-3278.
IEEE DOI 0610
BibRef
Earlier:
Reversing Demosaicking and Compression in Color Filter Array Images,
ICIP06(2693-2696).
IEEE DOI 0610

See also Color Image Denoising Using Wavelets and Minimum Cut Analysis. BibRef

Lian, N.X.[Nai-Xiang], Chang, L.[Lanlan], Tan, Y.P.[Yap-Peng], Zagorodnov, V.[Vitali],
Adaptive Filtering for Color Filter Array Demosaicking,
IP(16), No. 10, October 2007, pp. 2515-2525.
IEEE DOI 0711
BibRef
Earlier: A1, A2, A3, Only:
Improved Color Filter Array Demosaicking by Accurate Luminance Estimation,
ICIP05(I: 41-44).
IEEE DOI 0512
BibRef

Miao, L.[Lidan], Qi, H.R.[Hai-Rong],
The Design and Evaluation of a Generic Method for Generating Mosaicked Multispectral Filter Arrays,
IP(15), No. 9, August 2006, pp. 2780-2791.
IEEE DOI 0608
BibRef

Miao, L.[Lidan], Qi, H.R.[Hai-Rong], Ramanath, R.,
A Generic Binary Tree-Based Progressive Demosaicking Method for Multispectral Filter Array,
ICIP06(3221-3224).
IEEE DOI 0610
BibRef

Miao, L.[Lidan], Qi, H.R.[Hai-Rong], Ramanath, R., Snyder, W.E.,
Binary Tree-based Generic Demosaicking Algorithm for Multispectral Filter Arrays,
IP(15), No. 11, November 2006, pp. 3550-3558.
IEEE DOI 0610
BibRef

Miao, L.[Lidan], Qi, H.R.[Hai-Rong], Snyder, W.E.,
A generic method for generating multispectral filter arrays,
ICIP04(V: 3343-3346).
IEEE DOI 0505
BibRef

Menon, D., Andriani, S., Calvagno, G.,
Demosaicing With Directional Filtering and a posteriori Decision,
IP(16), No. 1, January 2007, pp. 132-141.
IEEE DOI 0701
BibRef

Menon, D.[Daniele], Calvagno, G.[Giancarlo],
Regularization Approaches to Demosaicking,
IP(18), No. 10, October 2009, pp. 2209-2220.
IEEE DOI 0909
BibRef

Menon, D.[Daniele], Calvagno, G.[Giancarlo],
Joint demosaicking and denoisingwith space-varying filters,
ICIP09(477-480).
IEEE DOI 0911
BibRef

Menon, D.[Daniele], Calvagno, G.[Giancarlo],
Demosaicing Based On Wavelet Analysis of the Luminance Component,
ICIP07(II: 181-184).
IEEE DOI 0709
BibRef

Tsai, C.Y.[Chi-Yi], Song, K.T.[Kai-Tai],
A new edge-adaptive demosaicing algorithm for color filter arrays,
IVC(25), No. 9, 1 September 2007, pp. 1495-1508.
Elsevier DOI 0707
Image representation, Color reproduction, CFA demosaicing, Adaptive filtering, Color artifacts BibRef

Kabukcu, G.[Gökhan], Yurdakul, A.[Arda],
Low-cost solution to on-line color filter array demosaicking,
IJIST(17), No. 4, 2007, pp. 232-243.
DOI Link 0712
BibRef

Chen, L.[Li], Yap, K.H.[Kim-Hui], He, Y.[Yu],
Subband Synthesis for Color Filter Array Demosaicking,
SMC-A(38), No. 2, March 2008, pp. 485-492.
IEEE DOI 0803
BibRef
Earlier:
Color Filter Array Demosaicking Using Wavelet-Based Subband Synthesis,
ICIP05(II: 1002-1005).
IEEE DOI 0512
BibRef

Omer, O.A.[Osama A.], Tanaka, T.[Toshihisa],
Demosaicking Based on Optimization and Projection in Different Frequency Bands,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0804
BibRef

Chung, K.L., Yang, W.J., Yan, W.M., Wang, C.C.,
Demosaicing of Color Filter Array Captured Images Using Gradient Edge Detection Masks and Adaptive Heterogeneity-Projection,
IP(17), No. 12, December 2008, pp. 2356-2367.
IEEE DOI 0811
BibRef

Ferradans, S., Bertalmio, M., Caselles, V.,
Geometry-Based Demosaicking,
IP(18), No. 3, March 2009, pp. 665-670.
IEEE DOI 0903
BibRef

Buades, A.[Antoni], Coll, B.[Bartomeu], Morel, J.M.[Jean-Michel], Sbert, C.[Catalina],
Self-Similarity Driven Color Demosaicking,
IP(18), No. 6, June 2009, pp. 1192-1202.
IEEE DOI 0905
BibRef
And:
Self-Similarity Driven Demosaicking,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Demosaicking. BibRef

Li, J.S.J.[J.S. Jimmy], Randhawa, S.[Sharmil],
Color Filter Array Demosaicking Using High-Order Interpolation Techniques With a Weighted Median Filter for Sharp Color Edge Preservation,
IP(18), No. 9, September 2009, pp. 1946-1957.
IEEE DOI 0909
BibRef
Earlier:
Weighted median based colour filter array demosaicking,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef
Earlier:
High Order Extrapolation Using Taylor Series for Color Filter Array Demosaicing,
ICIAR05(703-711).
Springer DOI 0509
BibRef

Randhawa, S.[Sharmil], Li, J.S.J.[Jim S. Jimmy],
Hot pixel removal within colour filter array demosaicking using modified bilateral filters,
IVCNZ13(178-183)
IEEE DOI 1402
cameras BibRef

Li, J.S.J.[Jim S. Jimmy], Randhawa, S.[Sharmil],
Adaptive CFA Demosaicking Using Bilateral Filters for Colour Edge Preservation,
ACPR13(451-455)
IEEE DOI 1408
BibRef
Earlier: A2, A1:
Adaptive Order Spline Interpolation for Edge-Preserving Colour Filter Array Demosaicking,
DICTA11(666-671).
IEEE DOI 1205
BibRef
Earlier: A1, A2:
Blind reverse CFA demosaicking for the reduction of colour artifacts from demosaicked images,
IVCNZ10(1-8).
IEEE DOI 1203
BibRef
Earlier: A1, A2:
Reduction of Colour Artifacts Using Inverse Demosaicking,
DICTA10(105-110).
IEEE DOI 1012
adaptive filters BibRef

Zhang, F.[Fan], Wu, X.L.[Xiao-Lin], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun], Zhang, L.[Lei],
Robust Color Demosaicking With Adaptation to Varying Spectral Correlations,
IP(18), No. 12, December 2009, pp. 2706-2717.
IEEE DOI 0912
BibRef

Battiato, S.[Sebastiano], Guarnera, M.I.[Mirko Ignazio], Messina, G.[Giuseppe], Tomaselli, V.[Valeria],
Recent Patents on Color Demosaicing,
RPCS(1), No. 3, November 2008, pp. 194-207.
WWW Link. Survey, Demosaicing. 1001
BibRef

Lu, Y.M., Karzand, M., Vetterli, M.,
Demosaicking by Alternating Projections: Theory and Fast One-Step Implementation,
IP(19), No. 8, August 2010, pp. 2085-2098.
IEEE DOI 1008
BibRef

Oh, H.M.[Hyun Mook], Kim, C.W.[Chang Won], Han, Y.S.[Young Seok], Kang, M.G.[Moon Gi],
Edge Adaptive Color Demosaicking Based on the Spatial Correlation of the Bayer Color Difference,
JIVP(2010), No. 2010, pp. xx-yy.
DOI Link 1011
BibRef

Wu, X.L.[Xiao-Lin], Zhang, X.J.[Xiang-Jun],
Joint Color Decrosstalk and Demosaicking for CFA Cameras,
IP(19), No. 12, December 2010, pp. 3181-3189.
IEEE DOI 1011
BibRef
And: ICIP10(1333-1336).
IEEE DOI 1009
BibRef

Li, Y.[Yan], Hao, P.W.[Peng-Wei], Lin, Z.C.[Zhou-Chen],
The Frequency Structure Matrix: A Representation of Color Filter Arrays,
IJIST(21), No. 1, 2011, pp. 101-106.
DOI Link color filter array (CFA), discrete Fourier transform (DFT), sampling, multiplexing, demosaicking BibRef 1100

Menon, D.[Daniele], Calvagno, G.[Giancarlo],
Color image demosaicking: An overview,
SP:IC(26), No. 8-9, October 2011, pp. 518-533.
Elsevier DOI 1109
Demosaicking, Bayer pattern, Color filter array interpolation, Digital cameras BibRef

Horé, A.[Alain], Ziou, D.[Djemel],
An Edge-Sensing Generic Demosaicing Algorithm With Application to Image Resampling,
IP(20), No. 11, November 2011, pp. 3136-3150.
IEEE DOI 1110
BibRef
Earlier:
An Edge-Sensing Universal Demosaicing Algorithm,
ACIVS10(I: 197-208).
Springer DOI 1012
BibRef

Getreuer, P.[Pascal],
Malvar-He-Cutler Linear Image Demosaicking,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Demosaicking.
See also High-quality linear interpolation for demosaicing of Bayer-patterned color images. BibRef

Getreuer, P.[Pascal],
Zhang-Wu Directional LMMSE Image Demosaicking,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Demosaicking.
See also Color Demosaicking Via Directional Linear Minimum Mean Square-Error Estimation.
See also Image Demosaicking with Contour Stencils. BibRef

Getreuer, P.[Pascal],
Gunturk-Altunbasak-Mersereau Alternating Projections Image Demosaicking,
IPOL(2011), No. 1, 2011, pp. xx-yy.
DOI Link 1202
Code, Demosaicking.
See also Color plane interpolation using alternating projections. BibRef

Getreuer, P.[Pascal],
Image Demosaicking with Contour Stencils,
IPOL(2012), No. 2012, pp. xx-yy.
DOI Link 1204
Code, Demosaicking.
See also Zhang-Wu Directional LMMSE Image Demosaicking.
See also Image Interpolation with Contour Stencils.
See also Rudin-Osher-Fatemi Total Variation Denoising using Split Bregman. BibRef

Yang, W.J.[Wei-Jen], Chung, K.L.[Kuo-Liang], Liao, H.Y.M.[Hong-Yuan Mark],
Quality-efficient demosaicing for digital time delay and integration images using edge-sensing scheme in color difference domain,
JVCIR(23), No. 5, July 2012, pp. 729-741.
Elsevier DOI 1205
Demosaicing algorithm, Digital time delay and integration (DTDI), Edge information, Industrial print inspection, Line-scan camera, Mosaic images, Color filter array (CFA), Sobel edge detector BibRef

Gao, D.[Dahua], Wu, X.L.[Xiao-Lin], Shi, G.M.[Guang-Ming], Zhang, L.[Lei],
Color demosaicking with an image formation model and adaptive PCA,
JVCIR(23), No. 7, October 2012, pp. 1019-1030.
Elsevier DOI 1209
Color demosaicking, Image formation model, Principal component analysis, Sparsity, Color filter array, Digital cameras, Zipper effect; Sparse representation BibRef

Wu, X.L.[Xiao-Lin], Gao, D.[Dahua], Shi, G.M.[Guang-Ming], Liu, D.H.[Dan-Hua],
Color demosaicking with sparse representations,
ICIP10(1645-1648).
IEEE DOI 1009
BibRef

Chen, W.G., Wang, X., Xing, J.G.,
Colour demosaicking for complementary colour filter array using spectral and spatial correlations,
IET-IPR(6), No. 7, 2012, pp. 901-909.
DOI Link 1211
BibRef

Dengwen, Z., Xiaoliu, S., Weiming, D.,
Colour demosaicking with directional filtering and weighting,
IET-IPR(6), No. 8, 2012, pp. 1084-1092.
DOI Link 1302
BibRef

Moghadam, A.A.[Abdolreza Abdolhosseini], Aghagolzadeh, M.[Mohammad], Kumar, M.[Mrityunjay], Radha, H.[Hayder],
Compressive Framework for Demosaicing of Natural Images,
IP(22), No. 6, 2013, pp. 2356-2371.
IEEE DOI 1307
BibRef
Earlier: A2, A1, A3, A4:
Compressive demosaicing for periodic color filter arrays,
ICIP11(1693-1696).
IEEE DOI 1201
demosaicing BibRef

Moghadam, A.A., Kumar, M., Radha, H.,
Common and Innovative Visuals: A Sparsity Modeling Framework for Video,
IP(23), No. 9, September 2014, pp. 4055-4069.
IEEE DOI 1410
compressed sensing BibRef

Aghagolzadeh, M.[Mohammad], Radha, H.[Hayder],
Compressive dictionary learning for image recovery,
ICIP12(661-664).
IEEE DOI 1302
BibRef

Chen, X.D.[Xiang-Dong], He, L., Jeon, G.G.[Gwang-Gil], Jeong, J.C.[Je-Chang],
Multidirectional Weighted Interpolation and Refinement Method for Bayer Pattern CFA Demosaicking,
CirSysVideo(25), No. 8, August 2015, pp. 1271-1282.
IEEE DOI 1508
BibRef
Earlier: A1, A3, A4, Only:
Voting-Based Directional Interpolation Method and Its Application to Still Color Image Demosaicking,
CirSysVideo(24), No. 2, February 2014, pp. 255-262.
IEEE DOI 1403
Color. edge detection BibRef

Wang, L.[Lei], Jeon, G.G.[Gwang-Gil],
Bayer Pattern CFA Demosaicking Based on Multi-Directional Weighted Interpolation and Guided Filter,
SPLetters(22), No. 11, November 2015, pp. 2083-2087.
IEEE DOI 1509
correlation methods BibRef

Yoo, D.S.[Du Sic], Park, M.K.[Min Kyu], Kang, M.G.[Moon Gi],
Joint Deblurring and Demosaicing Using Edge Information from Bayer Images,
IEICE(E97-D), No. 7, July 2014, pp. 1872-1884.
WWW Link. 1407
BibRef

Huang, X.[Xiang], Cossairt, O.[Oliver],
Dictionary Learning Based Color Demosaicing for Plenoptic Cameras,
CCD14(455-460)
IEEE DOI 1409
BibRef

Duran, J.[Joan], Buades, A.[Antoni],
Self-Similarity and Spectral Correlation Adaptive Algorithm for Color Demosaicking,
IP(23), No. 9, September 2014, pp. 4031-4040.
IEEE DOI 1410
BibRef
Earlier: A2, A1:
Joint Denoising and Demosaicking of Raw Video Sequences,
ICIP18(2172-2176)
IEEE DOI 1809
CCD image sensors. Interpolation, Image color analysis, Noise reduction, Gray-scale, Standards, Adaptive optics, Optical imaging, Video processing, denoising BibRef

Duran, J.[Joan], Buades, A.[Antoni],
A Demosaicking Algorithm with Adaptive Inter-Channel Correlation,
IPOL(5), 2015, pp. 311-327.
DOI Link 1601
BibRef

Khashabi, D., Nowozin, S., Jancsary, J., Fitzgibbon, A.W.,
Joint Demosaicing and Denoising via Learned Nonparametric Random Fields,
IP(23), No. 12, December 2014, pp. 4968-4981.
IEEE DOI 1412
image colour analysis BibRef

Bai, C., Li, J., Lin, Z., Yu, J., Chen, Y.,
Penrose Demosaicking,
IP(24), No. 5, May 2015, pp. 1672-1684.
IEEE DOI 1504
Color BibRef

Wang, Y.Q.[Yi-Qing], Limare, N.[Nicolas],
A Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to Bayesian Optimal Image Demosaicing,
IPOL(5), 2015, pp. 257-266.
DOI Link 1511
Code, Demosaicking.
See also multilayer neural network for image demosaicking, A. BibRef

Ye, W.[Wei], Ma, K.K.[Kai-Kuang],
Color Image Demosaicing Using Iterative Residual Interpolation,
IP(24), No. 12, December 2015, pp. 5879-5891.
IEEE DOI 1512
BibRef
Earlier:
Image demosaicing by using iterative residual interpolation,
ICIP14(1862-1866)
IEEE DOI 1502
image colour analysis. Arrays BibRef

Chang, K.[Kan], Ding, P.L.K.[Pak Lun Kevin], Li, B.X.[Bao-Xin],
Color image demosaicking using inter-channel correlation and nonlocal self-similarity,
SP:IC(39, Part A), No. 1, 2015, pp. 264-279.
Elsevier DOI 1512
Color demosaicking BibRef

Chang, K.[Kan], Liang, Y.[Yun], Chen, C.[Cheng], Tang, Z.H.[Zhen-Hua], Qin, T.F.[Tuan-Fa],
Color image compressive sensing reconstruction by using inter-channel correlation,
VCIP16(1-4)
IEEE DOI 1701
Color BibRef

Kiku, D.[Daisuke], Monno, Y.[Yusuke], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Beyond Color Difference: Residual Interpolation for Color Image Demosaicking,
IP(25), No. 3, March 2016, pp. 1288-1300.
IEEE DOI 1602
BibRef
Earlier: A2, A1, A3, A4:
Adaptive residual interpolation for color image demosaicking,
ICIP15(3861-3865)
IEEE DOI 1512
BibRef
Earlier: A1, A2, A3, A4:
Residual interpolation for color image demosaicking,
ICIP13(2304-2308)
IEEE DOI 1402
Color. Bayer color filter array (CFA). Interpolation, color filter array (CFA), demosaicking, residual BibRef

Monno, Y.[Yusuke], Kiku, D.[Daisuke], Kikuchi, S.[Sunao], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Multispectral demosaicking with novel guide image generation and residual interpolation,
ICIP14(645-649)
IEEE DOI 1502
Arrays BibRef

Kim, Y., Jeong, J.,
Four-Direction Residual Interpolation for Demosaicking,
CirSysVideo(26), No. 5, May 2016, pp. 881-890.
IEEE DOI 1605
Filtering BibRef

Hua, K.L.[Kai-Lung], Hidayati, S.C.[Shintami Chusnul], He, F.L.[Fang-Lin], Wei, C.P.[Chia-Po], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Context-aware joint dictionary learning for color image demosaicking,
JVCIR(38), No. 1, 2016, pp. 230-245.
Elsevier DOI 1605
Color demosaicking BibRef

Wu, J.Q.[Ji-Qing], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Demosaicing Based on Directional Difference Regression and Efficient Regression Priors,
IP(25), No. 8, August 2016, pp. 3862-3874.
IEEE DOI 1608
Correlation BibRef

Zhang, C., Li, Y., Wang, J., Hao, P.,
Universal Demosaicking of Color Filter Arrays,
IP(25), No. 11, November 2016, pp. 5173-5186.
IEEE DOI 1610
brightness BibRef

Wu, J., Anisetti, M., Wu, W., Damiani, E., Jeon, G.,
Bayer Demosaicking With Polynomial Interpolation,
IP(25), No. 11, November 2016, pp. 5369-5382.
IEEE DOI 1610
Cameras BibRef

Jaiswal, S.P., Fang, L., Jakhetiya, V., Pang, J., Mueller, K., Au, O.C.,
Adaptive Multispectral Demosaicking Based on Frequency-Domain Analysis of Spectral Correlation,
IP(26), No. 2, February 2017, pp. 953-968.
IEEE DOI 1702
correlation methods BibRef

Li, N., Li, J.S.J., Randhawa, S.,
Color Filter Array Demosaicking Based on the Distribution of Directional Color Differences,
SPLetters(24), No. 5, May 2017, pp. 604-608.
IEEE DOI 1704
image colour analysis BibRef

Jhan, J.P.[Jyun-Ping], Rau, J.Y.[Jiann-Yeou], Haala, N.[Norbert],
Robust and adaptive band-to-band image transform of UAS miniature multi-lens multispectral camera,
PandRS(137), 2018, pp. 47-60.
Elsevier DOI 1802
One sensor geometry, Band co-registration, Multispectral camera, UAS BibRef

Tan, D.S.[Daniel Stanley], Chen, W.Y., Hua, K.L.[Kai-Lung],
DeepDemosaicking: Adaptive Image Demosaicking via Multiple Deep Fully Convolutional Networks,
IP(27), No. 5, May 2018, pp. 2408-2419.
IEEE DOI 1804
feedforward neural nets, image colour analysis, image segmentation, DeepDemosaicking, multi-model fusion BibRef

Kwan, C.[Chiman], Chou, B.[Bryan], Kwan, L.Y.M.[Li-Yun M.], Larkin, J.[Jude], Ayhan, B.[Bulent], Bell III, J.F.[James F.], Kerner, H.[Hannah],
Demosaicing enhancement using pixel-level fusion,
SIViP(12), No. 4, May 2018, pp. 749-756.
Springer DOI 1805
BibRef

Zhang, J., Sheng, A., Hirakawa, K.,
A Wavelet-GSM Approach to Demosaicking,
SPLetters(25), No. 6, June 2018, pp. 778-782.
IEEE DOI 1806
Bayes methods, Gaussian processes, image colour analysis, image reconstruction, least mean squares methods, Gaussian scale mixture (GSM) BibRef

Lien, C., Yang, F., Chen, P., Fang, Y.,
Efficient VLSI Architecture for Edge-Oriented Demosaicking,
CirSysVideo(28), No. 8, August 2018, pp. 2038-2047.
IEEE DOI 1808
Interpolation, Image color analysis, Image edge detection, Very large scale integration, Hardware, DH-HEMTs, very-large-scale integration (VLSI) BibRef

Mohammed, S.K.[Shahed K.], Wahid, K.A.[Khan A.],
Lossless and reversible colour space transformation for Bayer colour filter array images,
IET-IPR(12), No. 8, August 2018, pp. 1485-1490.
DOI Link 1808
BibRef

Azizi, R.[Reza], Latif, A.[Alimohammad],
Cross-channel regularisation for joint demosaicking and intrinsic lens deblurring,
IET-IPR(12), No. 9, September 2018, pp. 1683-1691.
DOI Link 1809
BibRef

Chen, X.D.[Xiang-Dong], Wang, Q.[Qi], Lee, Y.S.[Young-Sup],
Real-time demosaicking method based on mixed color channel correlation,
RealTimeIP(16), No. 1, February 2019, pp. 61-69.
WWW Link. 1902
BibRef

Sandeep, P., Jacob, T.,
Joint Color Space GMMs for CFA Demosaicking,
SPLetters(26), No. 2, February 2019, pp. 232-236.
IEEE DOI 1902
covariance matrices, Gaussian processes, image colour analysis, image denoising, image filtering, image segmentation, Gaussian mixture models BibRef

Niu, Y., Ouyang, J., Zuo, W., Wang, F.,
Low Cost Edge Sensing for High Quality Demosaicking,
IP(28), No. 5, May 2019, pp. 2415-2427.
IEEE DOI 1903
cameras, image colour analysis, image sampling, image segmentation, image sensors, optical filters, high quality demosaicking, logistic function BibRef

Dijkstra, K., van de Loosdrecht, J., Schomaker, L.R.B., Wiering, M.A.,
Hyperspectral demosaicking and crosstalk correction using deep learning,
MVA(30), No. 1, February 2019, pp. 1-21.
Springer DOI 1904
BibRef

Choi, J.H.[Jun Ho], Choi, D.Y.[Dong Yoon], Song, B.C.[Byung Cheol],
Demosaicking algorithm for white-RGB CFA images,
IET-IPR(13), No. 5, 18 April 2019, pp. 811-816.
DOI Link 1904
BibRef

Bai, C.Y.[Chen-Yan], Li, J.[Jia],
Convolutional sparse coding for demosaicking with panchromatic pixels,
SP:IC(77), 2019, pp. 20-27.
Elsevier DOI 1906
Convolutional sparse coding (CSC), Demosaicking, Color filter array (CFA), Panchromatic pixels, Alternating direction method of multipliers (ADMM) BibRef

Kokkinos, F.[Filippos], Lefkimmiatis, S.[Stamatios],
Iterative Joint Image Demosaicking and Denoising Using a Residual Denoising Network,
IP(28), No. 8, August 2019, pp. 4177-4188.
IEEE DOI 1907
BibRef
Earlier:
Deep Image Demosaicking Using a Cascade of Convolutional Residual Denoising Networks,
ECCV18(XIV: 317-333).
Springer DOI 1810
Noise reduction, Image reconstruction, Noise measurement, Pipelines, Image color analysis, Training, Deep learning, denoising, majorization-minimization BibRef

Gharbi, M., Chaurasia, G., Paris, S., Durand, F.,
Deep joint demosaicking and de-noising,
TOG(35), pp. 191, 2016.
DOI Link BibRef 0000

Ehret, T.[Thibaud], Facciolo, G.[Gabriele],
A Study of Two CNN Demosaicking Algorithms,
IPOL(9), 2019, pp. 220-230.
DOI Link 1909

See also Deep joint demosaicking and de-noising.
See also Color image demosaicking via deep residual learning. BibRef

Hong, W.[Wien], Zhou, X.Y.[Xiao-Yu], Chen, T.S.[Tung-Shou], Hsieh, C.H.[Chun-Hung],
An efficient reversible authentication scheme for demosaiced images with improved detectability,
SP:IC(80), 2020, pp. 115666.
Elsevier DOI 1912
Image demosaicing, Image authentication, Reversible authentication BibRef

Kang, M.M.[Myeong-Min], Jung, M.[Miyoun],
Low-dimensional manifold model for demosaicking from a RGBW color filter array,
SIViP(14), No. 1, February 2020, pp. 143-150.
WWW Link. 2001
BibRef

Ni, Z., Ma, K., Zeng, H., Zhong, B.,
Color Image Demosaicing Using Progressive Collaborative Representation,
IP(29), 2020, pp. 4952-4964.
IEEE DOI 2003
Training, Image color analysis, Collaboration, Rough surfaces, Color, Feature extraction, Image quality, Image demosaicing, progressive collaborative representation BibRef

Liu, S., Chen, J., Xun, Y., Zhao, X., Chang, C.,
A New Polarization Image Demosaicking Algorithm by Exploiting Inter-Channel Correlations With Guided Filtering,
IP(29), 2020, pp. 7076-7089.
IEEE DOI 2007
Interpolation, Filtering, Noise reduction, Imaging, Correlation, Optimization, Guided filter, image denoising BibRef

Buades, A., Duran, J.,
CFA Video Denoising and Demosaicking Chain via Spatio-Temporal Patch-Based Filtering,
CirSysVideo(30), No. 11, November 2020, pp. 4143-4157.
IEEE DOI 2011
Noise reduction, Image color analysis, Colored noise, Cameras, Transforms, Pipelines, CFA, non-linear 3D filter BibRef

Wen, S., Zheng, Y., Lu, F.,
A Sparse Representation Based Joint Demosaicing Method for Single-Chip Polarized Color Sensor,
IP(30), 2021, pp. 4171-4182.
IEEE DOI 2104
Image color analysis, Color, Cameras, Interpolation, Optimization, Imaging, Image reconstruction, global optimization BibRef

Kerepecký, T.[Tomáš], Šroubek, F.[Filip],
D3Net: Joint Demosaicking, Deblurring and Deringing,
ICPR21(1-8)
IEEE DOI 2105
Computer architecture, Filtering algorithms, Digital cameras, Pattern recognition, Computational efficiency, Complexity theory, CNN BibRef

Zhou, W.[Wei], Zhang, L.[Ling], Gao, S.[Shengyu], Lou, X.[Xin],
Gradient-Based Feature Extraction From Raw Bayer Pattern Images,
IP(30), 2021, pp. 5122-5137.
IEEE DOI 2106
Image color analysis, Feature extraction, Pipelines, Colored noise, Histograms, Signal processing algorithms, demosaicing BibRef

Jin, Q.Y.[Qi-Yu], Guo, Y.[Yu], Morel, J.M.[Jean-Michel], Facciolo, G.[Gabriele],
A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms,
IPOL(11), 2021, pp. 234-283.
DOI Link 2108
Demosaicking. BibRef

Guo, S.[Shi], Liang, Z.[Zhetong], Zhang, L.[Lei],
Joint Denoising and Demosaicking With Green Channel Prior for Real-World Burst Images,
IP(30), 2021, pp. 6930-6942.
IEEE DOI 2108
Noise reduction, Green products, Noise measurement, Signal to noise ratio, Image color analysis, Feature extraction, green channel prior BibRef

Yang, X.D.[Xiao-Dong], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
MCFD: A Hardware-Efficient Noniterative Multicue Fusion Demosaicing Algorithm,
CirSysVideo(31), No. 9, September 2021, pp. 3575-3589.
IEEE DOI 2109
Image color analysis, Interpolation, Hardware, Signal processing algorithms, Image reconstruction, Pipelines, ISP BibRef

Wang, Y.[Yan], Yin, S.Y.[Shi-Ying], Zhu, S.Y.[Shu-Yuan], Ma, Z.[Zhan], Xiong, R.Q.[Rui-Qin], Zeng, B.[Bing],
NTSDCN: New Three-Stage Deep Convolutional Image Demosaicking Network,
CirSysVideo(31), No. 9, September 2021, pp. 3725-3729.
IEEE DOI 2109
Image reconstruction, Laplace equations, Feature extraction, Image color analysis, Convolution, Interpolation, Energy loss, features BibRef

Bian, L.H.[Li-Heng], Wang, Y.G.[Yu-Gang], Zhang, J.[Jun],
Generalized MSFA Engineering With Structural and Adaptive Nonlocal Demosaicing,
IP(30), 2021, pp. 7867-7877.
IEEE DOI 2109
Image reconstruction, Optimization, Interpolation, Cameras, Correlation, Compressed sensing, Noise measurement, structural similarity BibRef

Li, L.[Lin], Sun, L.C.[Ling-Chen], Feng, B.[Bin], Stolkin, R.[Rustam], Liu, Z.[Zhunga],
An Automatic and Optimal MPA Design Method,
IP(30), 2021, pp. 8046-8058.
IEEE DOI 2109
Frequency-domain analysis, Design methodology, Optimization, Image color analysis, Bandwidth, Layout, Image reconstruction, DoFP, demosaicing BibRef

Rathi, V.[Vishwas], Goyal, P.[Puneet],
Multispectral Image Demosaicking Based on Novel Spectrally Localized Average Images,
SPLetters(29), 2022, pp. 449-453.
IEEE DOI 2202
Signal processing algorithms, Correlation, Filtering algorithms, Convolution, Indexes, Binary trees, Hyperspectral imaging, interpolation BibRef

Pistellato, M.[Mara], Bergamasco, F.[Filippo], Fatima, T.[Tehreem], Torsello, A.[Andrea],
Deep Demosaicing for Polarimetric Filter Array Cameras,
IP(31), 2022, pp. 2017-2026.
IEEE DOI 2203
Cameras, Image color analysis, Interpolation, Image edge detection, Liquid crystal displays, Training, Task analysis, PFA BibRef

Xu, Y.L.[Yi-Lun], Liu, Z.Y.[Zi-Yang], Wu, X.M.[Xing-Ming], Chen, W.H.[Wei-Hai], Wen, C.Y.[Chang-Yun], Li, Z.G.[Zheng-Guo],
Deep Joint Demosaicing and High Dynamic Range Imaging Within a Single Shot,
CirSysVideo(32), No. 7, July 2022, pp. 4255-4270.
IEEE DOI 2207
Static VAr compensators, Convolution, Image restoration, Image reconstruction, Image color analysis, exposure guidance BibRef

Chang, K.[Kan], Li, H.X.[Heng-Xin], Tan, Y.F.[Yu-Fei], Ding, P.L.K.[Pak Lun Kevin], Li, B.X.[Bao-Xin],
A Two-Stage Convolutional Neural Network for Joint Demosaicking and Super-Resolution,
CirSysVideo(32), No. 7, July 2022, pp. 4238-4254.
IEEE DOI 2207
Feature extraction, Task analysis, Image color analysis, Convolutional neural networks, Superresolution, convolutional neural network BibRef

Yan, L.[Lei], Jiang, K.W.[Kai-Wen], Lin, Y.[Yi], Zhao, H.Y.[Hong-Ying], Zhang, R.H.[Rui-Hua], Zeng, F.G.[Fan-Gang],
Polarized Intensity Ratio Constraint Demosaicing for the Division of a Focal-Plane Polarimetric Image,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Guan, J.T.[Jun-Tao], Lai, R.[Rui], Lu, Y.[Yang], Li, Y.G.[Yan-Gang], Li, H.N.[Hua-Nan], Feng, L.C.[Li-Chen], Yang, Y.T.[Yin-Tang], Gu, L.[Lin],
Memory-Efficient Deformable Convolution Based Joint Denoising and Demosaicing for UHD Images,
CirSysVideo(32), No. 11, November 2022, pp. 7346-7358.
IEEE DOI 2211
Convolution, Noise reduction, Feature extraction, Task analysis, Deformable models, Kernel, Image restoration, image demosaicing BibRef

Rathi, V.[Vishwas], Goyal, P.[Puneet],
Generic multispectral demosaicking using spectral correlation between spectral bands and pseudo-panchromatic image,
SP:IC(110), 2023, pp. 116893.
Elsevier DOI 2212
Image demosaicking, Interpolation, Multispectral filter array, Panchromatic image BibRef

Xie, F.[Fei], Liu, S.[Shumin], Chen, J.J.[Jia-Jia],
A new adaptive window-based guided filtering and interpolation for polarization image demosaicing,
IET-IPR(17), No. 7, 2023, pp. 2238-2255.
DOI Link 2305
image denoising, image enhancement, image processing BibRef

Li, J.[Jia], Bai, C.Y.[Chen-Yan], Huang, H.[Hua],
Universal Demosaicking for Interpolation-Friendly RGBW Color Filter Arrays,
IP(32), 2023, pp. 3592-3605.
IEEE DOI 2307
Image color analysis, Image reconstruction, Cameras, Interpolation, Channel estimation, Image decomposition, Photography, Demosaicking, image decomposition model BibRef

Bai, C.Y.[Chen-Yan], Liu, F.[Faqi], Li, J.[Jia],
Joint learning of RGBW color filter arrays and demosaicking,
PR(157), 2025, pp. 110929.
Elsevier DOI Code:
WWW Link. 2409
Demosaicking, Color filter array (CFA), RGBW, End-to-end BibRef

Li, J.[Jia], Bai, C.Y.[Chen-Yan], Lin, Z.C.[Zhou-Chen], Yu, J.[Jian],
Optimized Color Filter Arrays for Sparse Representation-Based Demosaicking,
IP(26), No. 5, May 2017, pp. 2381-2393.
IEEE DOI 1704
Algorithm design and analysis BibRef

Bai, C.Y.[Chen-Yan], Qiao, W.X.[Wen-Xing], Li, J.[Jia],
Universal deep demosaicking for sparse color filter arrays,
SP:IC(126), 2024, pp. 117135.
Elsevier DOI 2406
Demosaicking, Sparse color filter array, Panchromatic pixels, Differentiable guided filter BibRef

Diaz, N.[Nelson], Alvarado, A.[Alejandro], Meza, P.[Pablo], Guzmán, F.[Felipe], Vera, E.[Esteban],
Multispectral Filter Array Design by Optimal Sphere Packing,
IP(32), 2023, pp. 3634-3649.
IEEE DOI 2307
Filtering algorithms, Image coding, Imaging, Image reconstruction, Containers, Information filters, Encoding, Multispectral imaging, multispectral image demosaicking BibRef

Li, N.[Ning], Wang, B.[Binglu], Goudail, F.[François], Zhao, Y.Q.[Yong-Qiang], Pan, Q.[Quan],
Joint Denoising-Demosaicking Network for Long-Wave Infrared Division-of-Focal-Plane Polarization Images With Mixed Noise Level Estimation,
IP(32), 2023, pp. 5961-5976.
IEEE DOI 2311
BibRef

Feng, K.[Kai], Zeng, H.[Haijin], Zhao, Y.Q.[Yong-Qiang], Kong, S.G.[Seong G.], Bu, Y.Y.[Yuan-Yang],
Unsupervised Spectral Demosaicing With Lightweight Spectral Attention Networks,
IP(33), 2024, pp. 1655-1669.
IEEE DOI Code:
WWW Link. 2403
Training, Correlation, Cameras, Task analysis, Hyperspectral imaging, Electronics packaging, Distortion, Spectral demosaicing, spectral attention networks BibRef

Liu, C.[Chang], He, S.Z.[Song-Ze], Xu, J.J.[Jia-Jun], Li, J.[Jia],
Fine-Tuning for Bayer Demosaicking Through Periodic-Consistent Self-Supervised Learning,
SPLetters(31), 2024, pp. 989-993.
IEEE DOI 2404
Training, Self-supervised learning, Pipelines, Noise measurement, Cameras, Lattices, Image color analysis, Bayer CFA, demosaicking, self-supervised learning BibRef

Dong, Y.C.[Yan-Chen], Xiong, R.Q.[Rui-Qin], Zhao, J.[Jing], Zhang, J.[Jian], Fan, X.P.[Xiao-Peng], Zhu, S.Y.[Shu-Yuan], Huang, T.J.[Tie-Jun],
Learning a Deep Demosaicing Network for Spike Camera With Color Filter Array,
IP(33), 2024, pp. 3634-3647.
IEEE DOI 2406
Cameras, Image color analysis, Image reconstruction, Streaming media, Color, Task analysis, Dynamics, Spike camera, deep neural networks BibRef

Guo, Y.X.[Yu-Xuan], Zhang, X.M.[Xue-Min], Jin, G.[Guang],
Towards a Novel Generative Adversarial Network-Based Framework for Remote Sensing Image Demosaicking,
RS(16), No. 13, 2024, pp. 2283.
DOI Link 2407
BibRef

Bai, C.Y.[Chen-Yan], Li, J.[Jia], Wang, J.B.[Jin-Biao],
Spatial-Frequency Fusion for Bayer Demosaicking,
SPLetters(31), 2024, pp. 2245-2249.
IEEE DOI 2410
Frequency-domain analysis, Convolution, Feature extraction, Training, Interpolation, Image reconstruction, spatial domain BibRef

Luo, Y.D.[Yi-Dong], Zhang, J.C.[Jun-Chao], Shao, J.B.[Jian-Bo], Tian, J.D.[Jian-Dong], Ma, J.Y.[Jia-Yi],
Learning a Non-Locally Regularized Convolutional Sparse Representation for Joint Chromatic and Polarimetric Demosaicking,
IP(33), 2024, pp. 5029-5044.
IEEE DOI Code:
WWW Link. 2410
Image color analysis, Imaging, Image edge detection, Polarization, Correlation, Cameras, Image reconstruction, global optimization BibRef


Lee, H.[Haechang], Park, D.[Dongwon], Jeong, W.[Wongi], Kim, K.[Kijeong], Je, H.W.[Hyun-Woo], Ryu, D.I.[Dong-Il], Chun, S.Y.[Se Young],
Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors,
ICCV23(12704-12713)
IEEE DOI 2401
BibRef

Kerepecký, T.[Tomáš], Šroubek, F.[Filip], Novozámský, A.[Adam], Flusser, J.[Jan],
NERD: Neural Field-Based Demosaicking,
ICIP23(1735-1739)
IEEE DOI 2312
BibRef

Wu, X.[Xun], Wu, Y.Q.[Ya-Qi], Zhang, J.W.[Jia-Wei], Zhang, F.[Feng], Ren, J.[Jimmy],
Joint Demosaicing and Denoising with Gradient Guidance in Quad Bayer CFA,
ICIP23(256-260)
IEEE DOI 2312
BibRef

Li, L.[Leyi], Qiao, H.J.[Hui-Jie], Ye, Q.[Qi], Yang, Q.M.[Qin-Min],
Metadata-Based RAW Reconstruction via Implicit Neural Functions,
CVPR23(18196-18205)
IEEE DOI 2309
BibRef

Wang, Y.F.[Yu-Fei], Yu, Y.[Yi], Yang, W.H.[Wen-Han], Guo, L.[Lanqing], Chau, L.P.[Lap-Pui], Kot, A.C.[Alex C.], Wen, B.[Bihan],
Raw Image Reconstruction with Learned Compact Metadata,
CVPR23(18206-18215)
IEEE DOI 2309
BibRef

Fan, Z.H.[Zhi-Hao], Wu, X.[Xun], Meng, F.[Fanqing], Wu, Y.Q.[Ya-Qi], Zhang, F.[Feng],
OTST: A Two-Phase Framework for Joint Denoising and Remosaicing in RGBW CFA,
MIPI23(2833-2842)
IEEE DOI 2309
BibRef

Wu, X.[Xun], Fan, Z.H.[Zhi-Hao], Zheng, J.[Jiesi], Wu, Y.Q.[Ya-Qi], Zhang, F.[Feng],
Learning to Joint Remosaic and Denoise in Quad Bayer CFA via Universal Multi-scale Channel Attention Network,
MIPI22(147-160).
Springer DOI 2304
BibRef

Jia, J.[Jun], Sun, H.[Hanchi], Liu, X.H.[Xiao-Hong], Xiao, L.[Longan], Xu, Q.H.[Qi-Hang], Zhai, G.T.[Guang-Tao],
Learning Rich Information for Quad Bayer Remosaicing and Denoising,
MIPI22(175-191).
Springer DOI 2304
BibRef

Dewil, V.[Valéry], Courtois, A.[Adrien], Rodríguez, M.[Mariano], Ehret, T.[Thibaud], Brandonisio, N.[Nicola], Bujoreanu, D.[Denis], Facciolo, G.[Gabriele], Arias, P.[Pablo],
Video joint denoising and demosaicing with recurrent CNNs,
WACV23(5097-5108)
IEEE DOI 2302
Recurrent neural networks, Noise reduction, Pipelines, Network architecture, Motion compensation, Task analysis, Visualization BibRef

Yang, X.D.[Xiao-Dong], Zhou, W.G.[Wen-Gang], Li, H.Q.[Hou-Qiang],
Hardware-Oriented Shallow Joint Demosaicing and Denoising,
ICIP22(801-805)
IEEE DOI 2211
Image quality, Deep learning, Costs, Image edge detection, Noise reduction, Signal processing algorithms, Bayer Demosaicing, Image Signal Processing BibRef

Nguyen, V.[Vy], Tanaka, M.[Masayuki], Monno, Y.[Yusuke], Okutomi, M.[Masatoshi],
Two-Step Color-Polarization Demosaicking Network,
ICIP22(1011-1015)
IEEE DOI 2211
Image quality, Stokes parameters, Image color analysis, Image edge detection, Information filters, Task analysis, deep learning BibRef

Dong, Y.C.[Yan-Chen], Zhao, J.[Jing], Xiong, R.Q.[Rui-Qin], Huang, T.J.[Tie-Jun],
3D Residual Interpolation for Spike Camera Demosaicing,
ICIP22(1461-1465)
IEEE DOI 2211
Interpolation, Correlation, Quantization (signal), Image color analysis, Color, Streaming media, Spike camera, Bayer pattern BibRef

Sharif, S.M.A., Naqvi, R.A.[Rizwan Ali], Biswas, M.[Mithun],
Beyond Joint Demosaicking and Denoising: An Image Processing Pipeline for a Pixel-bin Image Sensor,
NTIRE21(233-242)
IEEE DOI 2109
Image sensors, Learning systems, Pipelines, Noise reduction, Linear programming, Cameras, Sensors BibRef

Verma, P.[Pranav], Meyer, D.E.[Dominique E.], Xu, H.Y.[Han-Yang], Kuester, F.[Falko],
Splatty- A Unified Image Demosaicing and Rectification Method,
WACV21(786-795)
IEEE DOI 2106
Image resolution, Memory management, Merging, Streaming media, Throughput, Hardware BibRef

Tan, Y., Chang, K., Li, H., Tang, Z., Qin, T.,
Lightweight Color Image Demosaicking with Multi-Core Feature Extraction,
VCIP20(136-139)
IEEE DOI 2102
Feature extraction, Image reconstruction, Convolution, Iron, Image color analysis, Color, Training, residual learning BibRef

Morimatsu, M., Monno, Y., Tanaka, M., Okutomi, M.,
Monochrome And Color Polarization Demosaicking Using Edge-Aware Residual Interpolation,
ICIP20(2571-2575)
IEEE DOI 2011
Image color analysis, Image edge detection, Interpolation, Image sensors, Detectors, Cameras, demosaicking BibRef

Lan, F., Yang, C., Cheung, G., Tan, J.Z.G.,
Joint Demosaicking / Rectification Of Fisheye Camera Images Using Multi-Color Graph Laplacian Regularization,
ICIP20(2596-2600)
IEEE DOI 2011
Cameras, Image color analysis, Interpolation, Laplace equations, Correlation, Symmetric matrices, Noise measurement, Fisheye camera, graph signal processing BibRef

Kim, J.S., Ko, K., Kim, C.S.,
Adaptive Lattice-Aware Image Demosaicking Using Global And Local Information,
ICIP20(483-487)
IEEE DOI 2011
Image color analysis, Lattices, Interpolation, Generators, Heuristic algorithms, Training, Signal processing algorithms, convolutional neural networks BibRef

Jin, Q., Facciolo, G., Morel, J.,
A Review of an Old Dilemma: Demosaicking First, or Denoising First?,
NTIRE20(2169-2179)
IEEE DOI 2008
Noise reduction, Image color analysis, Noise measurement, Colored noise, Color, Image resolution, Pipelines BibRef

Liu, L., Jia, X., Liu, J., Tian, Q.,
Joint Demosaicing and Denoising With Self Guidance,
CVPR20(2237-2246)
IEEE DOI 2008
Noise reduction, Task analysis, Channel estimation, Image resolution, Image restoration, Image edge detection, Neural networks BibRef

Zhao, Y.Z.[Yu-Zhi], Po, L.M.[Lai-Man], Zhang, T.T.[Tian-Tian], Liao, Z.B.[Zong-Bang], Shi, X.[Xiang], Zhang, Y.J.[Yu-Jia], Ou, W.F.[Wei-Feng], Xian, P.F.[Peng-Fei], Xiong, J.J.[Jing-Jing], Zhou, C.[Chang], Yu, W.Y.[Wing Yin],
Saliency Map-Aided Generative Adversarial Network for RAW to RGB Mapping,
AIM19(3449-3457)
IEEE DOI 2004
cameras, image colour analysis, neural nets, RGB mapping, RAW files, scanners, saliency map-aided data augmentation technique, RAW to RGB BibRef

Ehret, T., Davy, A., Arias, P., Facciolo, G.,
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images,
ICCV19(8867-8876)
IEEE DOI 2004
cameras, convolutional neural nets, image colour analysis, image denoising, image segmentation, Sensor arrays BibRef

Mei, K., Li, J., Zhang, J., Wu, H., Li, J., Huang, R.,
HighEr-Resolution Network for Image Demosaicing and Enhancing,
AIM19(3441-3448)
IEEE DOI 2004
Code, Demosaicking.
WWW Link. feature extraction, image colour analysis, image enhancement, image resolution, image restoration, image segmentation, Deep Neural Networks BibRef

Chi, Z., Shu, X., Wu, X.,
Joint Demosaicking and Blind Deblurring Using Deep Convolutional Neural Network,
ICIP19(2169-2173)
IEEE DOI 1910
Blind deblurring, demosaicking, multi-scale, recursive neural network BibRef

Li, Y., Sjöström, M.,
Depth-Assisted Demosaicing for Light Field Data in Layered Object Space,
ICIP19(3746-3750)
IEEE DOI 1910
Light field, demosaicing, object space, ray-tracing technique BibRef

Tan, R., Zhang, K., Zuo, W., Zhang, L.,
Color image demosaicking via deep residual learning,
ICME17(). BibRef 1700

Ramakrishnan, R.[Ramchalam], Jui, S.L.[Shang-Ling], Nia, V.P.[Vahid Partovi],
Deep Demosaicing for Edge Implementation,
ICIAR19(I:275-286).
Springer DOI 1909
BibRef

Vlachos, M., Skarlatos, D., Bodin, P.,
Foveon Vs Bayer: Comparison of 3D Reconstruction Performances,
3DARCH19(755-761).
DOI Link 1904
validate if the new FOVEON technology implemented by sigma cameras can provide better overall results and outperform the traditional Bayer pattern sensor cameras. BibRef

Huang, T., Wu, F.F., Dong, W., Shi, G., Li, X.,
Lightweight Deep Residue Learning for Joint Color Image Demosaicking and Denoising,
ICPR18(127-132)
IEEE DOI 1812
Feature extraction, Noise reduction, Convolution, Training, Color, Image reconstruction, Computational efficiency, Convolutional neural network BibRef

Li, Y., Olsson, R., Sjöström, M.,
An Analysis of Demosaicing for Plenoptic Capture Based on Ray Optics,
3DTV-CON18(1-4)
IEEE DOI 1812
cameras, image colour analysis, microlenses, optical arrays, ray tracing, demosaicing schemes, existing decoding pipelines, image demosaicing BibRef

Cui, K., Jin, Z., Steinbach, E.,
Color Image Demosaicking Using a 3-Stage Convolutional Neural Network Structure,
ICIP18(2177-2181)
IEEE DOI 1809
Correlation, Image color analysis, Image reconstruction, Interpolation, Visualization, Training, residual learning BibRef

Mihoubi, S., Mathon, B., Thomas, J.B., Losson, O., Macaire, L.,
Illumination-robust multispectral demosaicing,
IPTA17(1-6)
IEEE DOI 1804
cameras, image colour analysis, image reconstruction, image sensors, optical filters, demosaicing performances, Spectral correlation BibRef

Yue, H., Liu, J., Yang, J., Nguyen, T., Hou, C.,
Image noise estimation and removal considering the Bayer pattern of noise variance,
ICIP17(2976-2980)
IEEE DOI 1803
Channel estimation, Estimation, Noise level, Noise measurement, Noise reduction, Transforms, realistic noise BibRef

Tan, H., Zeng, X., Lai, S., Liu, Y., Zhang, M.,
Joint demosaicing and denoising of noisy bayer images with ADMM,
ICIP17(2951-2955)
IEEE DOI 1803
Image color analysis, Minimization, Noise level, Noise measurement, Noise reduction, Robustness, TV, ADMM, Bayer image, Demosaicing, Denoising BibRef

Chen, C., Stamm, M.C.,
Image filter identification using demosaicing residual features,
ICIP17(4103-4107)
IEEE DOI 1803
Approximation algorithms, Cameras, Correlation, Forensics, Image color analysis, Interpolation, Software, Cooccurrence matrix, Multi-media forensics BibRef

Chen, C., Zhao, X., Stamm, M.C.,
Detecting anti-forensic attacks on demosaicing-based camera model identification,
ICIP17(1512-1516)
IEEE DOI 1803
BibRef
Earlier: A2, A3, Only:
Computationally efficient demosaicing filter estimation for forensic camera model identification,
ICIP16(151-155)
IEEE DOI 1610
Approximation algorithms, Cameras, Color, Correlation, Forensics, Image color analysis, Transform coding, Anti-Forensics, Source Camera Model Falsification BibRef

Siddiqui, H., Atanassov, K., Goma, S.,
Hardware-friendly universal demosaick using non-iterative map reconstruction,
ICIP16(1794-1798)
IEEE DOI 1610
Algorithm design and analysis BibRef

Akiyama, H.[Hiroki], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Pseudo four-channel image denoising for noisy CFA raw data,
ICIP15(4778-4782)
IEEE DOI 1512
Bayer-CFA, Demosaicking, Denoising, PCA BibRef

Agustsson, E., Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Regressor Basis Learning for anchored super-resolution,
ICPR16(3850-3855)
IEEE DOI 1705
Closed-form solutions, Complexity theory, Data mining, Dictionaries, Encoding, Image resolution, Training BibRef

Wu, J.Q.[Ji-Qing], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Efficient regression priors for post-processing demosaiced images,
ICIP15(3495-3499)
IEEE DOI 1512
Demosaicing BibRef

Yamagishi, M.[Masao], Kyochi, S.[Seisuke], Shirai, K.[Keiichiro], Okuda, M.[Masahiro],
A regularization approach for bayer reconstruction in lossy image coding by inverse demosaicing,
ICIP15(334-338)
IEEE DOI 1512
Bayer color filter array BibRef

Su, P.H.[Po-Hsun], Chen, P.C.[Po-Chang], Chen, H.H.[Homer H.],
Compensation of spectral mismatch to enhance WRGB demosaicking,
ICIP15(68-72)
IEEE DOI 1512
CMOS image sensor BibRef

Aggarwal, H.K., Majumdar, A.,
Multi-spectral demosaicing: A joint-sparse elastic-net formulation,
ICAPR15(1-5)
IEEE DOI 1511
compressed sensing BibRef

Ogawa, S.[Shu], Shinoda, K.[Kazuma], Hasegawa, M.[Madoka], Kato, S.[Shigeo], Ishikawa, M.[Masahiro], Komagata, H.[Hideki], Kobayashi, N.[Naoki],
Demosaicking Method for Multispectral Images Based on Spatial Gradient and Inter-channel Correlation,
ICISP16(157-166).
WWW Link. 1606
BibRef

Mizutani, J., Ogawa, S.[Shu], Shinoda, K.[Kazuma], Hasegawa, M.[Madoka], Kato, S.[Shigeo],
Multispectral demosaicking algorithm based on inter-channel correlation,
VCIP14(474-477)
IEEE DOI 1504
adjacent channel interference BibRef

Zhang, M.Q.[Mei-Qing], Tao, L.M.[Lin-Mi],
A Patch Aware Multiple Dictionary Framework for Demosaicing,
ACCV14(III: 236-251).
Springer DOI 1504
BibRef

Rafinazari, M.[Mina], Dubois, E.[Eric],
Demosaicking algorithm for the Fujifilm X-Trans color filter array,
ICIP14(660-663)
IEEE DOI 1502
Algorithm design and analysis BibRef

Rossi, M.[Mattia], Calvagno, G.[Giancarlo],
Luminance driven sparse representation based demosaicking,
ICIP14(1788-1792)
IEEE DOI 1502
Color BibRef

Jaiswal, S.I.P.[Sun-Il Prasad], Au, O.C.[Oscar C.], Jakhetiya, V.[Vinit], Yuan, Y.[Yuan], Yang, H.Y.[Hai-Yan],
Exploitation of inter-color correlation for color image demosaicking,
ICIP14(1812-1816)
IEEE DOI 1502
Colored noise BibRef

Michael, G.[Gilad], Kiryati, N.[Nahum],
Example based demosaicing,
ICIP14(1832-1836)
IEEE DOI 1502
Arrays BibRef

Wang, Y.Q.[Yi-Qing],
A multilayer neural network for image demosaicking,
ICIP14(1852-1856)
IEEE DOI 1502
Artificial neural networks Code:
See also Fast C++ Implementation of Neural Network Backpropagation Training Algorithm: Application to Bayesian Optimal Image Demosaicing, A. BibRef

Seifi, M.[Mozhdeh], Sabater, N.[Neus], Drazic, V.[Valter], Perez, P.[Patrick],
Disparity-guided demosaicking of light field images,
ICIP14(5482-5486)
IEEE DOI 1502
Cameras BibRef

Sergej, T.[Tomasz], Mantiuk, R.[Radoslaw],
Perceptual Evaluation of Demosaicing Artefacts,
ICIAR14(I: 38-45).
Springer DOI 1410
BibRef

Aggarwal, H.K., Majumdar, A.,
Multi-spectral demosaicing technique for single-sensor imaging,
NCVPRIPG13(1-4)
IEEE DOI 1408
CCD image sensors BibRef

Wang, C.C.[Cong-Cong], Wang, X.[Xingbo], Hardeberg, J.Y.[Jon Yngve],
A Linear Interpolation Algorithm for Spectral Filter Array Demosaicking,
ICISP14(151-160).
Springer DOI 1406
BibRef

Kasar, S.M.[Sandip M.], Ruikar, S.D.[Sachin D.],
Image demosaicking by nonlocal adaptive thresholding,
ICSIPR13(34-38).
IEEE DOI 1304
BibRef

Monno, Y.[Yusuke], Kitao, T.[Toshihiro], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Optimal spectral sensitivity functions for a single-camera one-shot multispectral imaging system,
ICIP12(2137-2140).
IEEE DOI 1302
Camera with single image multi-spectral filter array. BibRef

He, F.L.[Fang-Lin], Wang, Y.C.A.F.[Yu-Chi-Ang Frank], Hua, K.L.[Kai-Lung],
Self-learning approach to color demosaicking via support vector regression,
ICIP12(2765-2768).
IEEE DOI 1302
BibRef

Hu, C.H.[Chen-Hui], Cheng, L.[Lin], Lu, Y.M.[Yue M.],
Graph-based regularization for color image demosaicking,
ICIP12(2769-2772).
IEEE DOI 1302
BibRef

Condat, L.[Laurent], Mosaddegh, S.[Saleh],
Joint demosaicking and denoising by total variation minimization,
ICIP12(2781-2784).
IEEE DOI 1302
BibRef

Maalouf, A.[Aldo], Larabi, M.C.[Mohamed-Chaker], Susstrunk, S.[Sabine],
An efficient demosaicing technique using geometrical information,
ICIP12(2789-2792).
IEEE DOI 1302
BibRef

Luong, H.Q.[Hiep Quang], Goossens, B.[Bart], Aelterman, J.[Jan], Pizurica, A.[Aleksandra], Philips, W.[Wilfried],
A primal-dual algorithm for joint demosaicking and deconvolution,
ICIP12(2801-2804).
IEEE DOI 1302
BibRef

Yu, Z.[Zhan], Yu, J.Y.[Jing-Yi], Lumsdaine, A.[Andrew], Georgiev, T.[Todor],
An analysis of color demosaicing in plenoptic cameras,
CVPR12(901-908).
IEEE DOI 1208
BibRef

Georgiev, T.[Todor], Lumsdaine, A.[Andrew],
Rich image capture with plenoptic cameras,
ICCP10(1-8).
IEEE DOI 1208
BibRef
Earlier: A2, A1:
The focused plenoptic camera,
ICCP09(1-8).
IEEE DOI 1208
BibRef

Wang, J.[Jue], Zhang, C.[Chao], Hao, P.W.[Peng-Wei],
New color filter arrays of high light sensitivity and high demosaicking performance,
ICIP11(3153-3156).
IEEE DOI 1201
BibRef

Sadeghipoor, Z.[Zahra], Lu, Y.M.[Yue M.], Susstrunk, S.[Sabine],
Correlation-based joint acquisition and demosaicing of visible and near-infrared images,
ICIP11(3165-3168).
IEEE DOI 1201
BibRef

Singh, T.[Tripurari], Singh, M.[Mritunjay],
Disregarding spectral overlap: A unified approach for demosaicking, compressive sensing and color filter array design,
ICIP11(3161-3164).
IEEE DOI 1201
BibRef

Monno, Y.[Yusuke], Tanaka, M.[Masayuki], Okutomi, M.[Masatoshi],
Multispectral demosaicking using adaptive kernel upsampling,
ICIP11(3157-3160).
IEEE DOI 1201
BibRef

Kolta, R.W.B.[Rana Wasfi B.], Aly, H.A.[Hussein A.], Fakhr, W.[Waleed],
A hybrid demosaicking algorithm using frequency domain and wavelet methods,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

Chatterjee, P.[Priyam], Joshi, N.[Neel], Kang, S.B.[Sing Bing], Matsushita, Y.[Yasuyuki],
Noise suppression in low-light images through joint denoising and demosaicing,
CVPR11(321-328).
IEEE DOI 1106
BibRef

Condat, L.[Laurent],
A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising,
ICIP10(905-908).
IEEE DOI 1009
BibRef

Takamatsu, J.[Jun], Matsushita, Y.[Yasuyuki], Ogasawara, T.[Tsukasa], Ikeuchi, K.[Katsushi],
Estimating demosaicing algorithms using image noise variance,
CVPR10(279-286).
IEEE DOI 1006
BibRef

Cao, H.[Hong], Kot, A.C.[Alex C.],
RAW tool identification through detected demosaicing regularity,
ICIP09(2885-2888).
IEEE DOI 0911
BibRef

Soulez, F.[Ferreol], Thiebaut, E.[Eric],
Joint deconvolution and demosaicing,
ICIP09(145-148).
IEEE DOI 0911
BibRef

Gershikov, E.[Evgeny], Porat, M.[Moshe],
Optimal color spaces for image demosaicing,
ICIP09(1621-1624).
IEEE DOI 0911
BibRef

Condat, L.[Laurent],
A generic variational approach for demosaicking from an arbitrary color filter array,
ICIP09(1625-1628).
IEEE DOI 0911
BibRef

Dirik, A.E.[Ahmet Emir], Memon, N.[Nasir],
Image tamper detection based on demosaicing artifacts,
ICIP09(1497-1500).
IEEE DOI 0911
BibRef

Zhou, D.W.[Deng-Wen], Shen, X.L.[Xiao-Liu],
Color Demosaicking Using Directional Weighting,
CISP09(1-5).
IEEE DOI 0910
BibRef

Saito, T.[Takahiro], Komatsu, T.[Takashi],
Demosaicing approach based on extended color total-variation regularization,
ICIP08(885-888).
IEEE DOI 0810
BibRef

Ajdin, B.[Boris], Hullin, M.B.[Matthias B.], Fuchs, C.[Christian], Seidel, H.P.[Hans-Peter], Lensch, H.P.A.[Hendrik P. A.],
Demosaicing by smoothing along 1D features,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Huang, Y.Z.[Yi-Zhen], Long, Y.J.[Yang-Jing],
Demosaicking recognition with applications in digital photo authentication based on a quadratic pixel correlation model,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Image authentication by detecting traces of demosaicing,
Tensor08(1-8).
IEEE DOI 0806
BibRef

Chou, C.H.[Chun-Hsien], Liu, K.C.[Kuo-Cheng], Lee, W.Y.[Wei-Yu],
Adaptive Color Filter Array Demosaicking Based on Constant Hue and Local Properties of Luminance,
PSIVT07(357-370).
Springer DOI 0712
BibRef

Yuk, C.K.M.[Carman K. M.], Au, O.C.[Oscar C.], Li, R.Y.M.[Richard Y.M.], Lam, S.Y.[Sui-Yuk],
Color Demosaicking using Direction Categorization,
ICIP07(IV: 229-232).
IEEE DOI 0709
BibRef

Nomura, Y.[Yoshikuni], Zhang, L., Nayar, S.K.[Shree K.],
Scene Collages and Flexible Camera Arrays,
ConferenceEurographics Symposium on Rendering, Jun, 2007.
PDF File.
WWW Link. Code, Mosaic. BibRef 0706

Nomura, Y.[Yoshikuni], Nayar, S.K.[Shree K.],
A VQ-Based Demosaicing by Self-Similarity,
ICIP07(III: 457-460).
IEEE DOI 0709
BibRef

de Lavarene, B.C.[Brice Chaix], Alleysson, D.[David], Durette, B.[Barthelemy], Herault, J.[Jeanny],
Efficient Demosaicing Through Recursive Filtering,
ICIP07(II: 189-192).
IEEE DOI 0709
BibRef

Su, C.Y.[Chung-Yen], Tseng, J.K.[Jen-Kang],
Demosaicing using variable-size classifiers and proportional weights,
ICIP09(493-496).
IEEE DOI 0911
BibRef

Su, C.Y.[Chung-Yen], Lin, C.M.[Chi-Ming], Lin, Y.S.[Yi-Shien],
Effective False Color Suppression of Demosaicing Using Direction Inversion and Bidirectional Signal Correlation,
ICIP07(II: 85-88).
IEEE DOI 0709
BibRef

Fu, D.D.[Dong-Dong], Shi, Y.Q.[Yun Q.], Su, W.[Wei],
Detection of Image Splicing Based on Hilbert-Huang Transform and Moments of Characteristic Functions with Wavelet Decomposition,
DW06(177-187).
Springer DOI 0611
BibRef

Lee, W.J.[Won-Jae], Lee, S.J.[Seong-Joo], Kim, J.S.[Jae-Seok],
An Efficient Demosaiced Image Enhancement Method for a Low Cost Single-Chip CMOS Image Sensor,
PSIVT06(1234-1243).
Springer DOI 0612
BibRef

Gu, J.[Jing], Wolfe, P.J.[Patrick J.], Hirakawa, K.[Keigo],
Filterbank-based universal demosaicking,
ICIP10(1981-1984).
IEEE DOI 1009
BibRef

Hirakawa, K.[Keigo], Meng, X.L.[Xiao-Li],
An Empirical Bayes Em-Wavelet Unification for Simultaneous Denoising, Interpolation, and/Or Demosaicing,
ICIP06(1453-1456).
IEEE DOI 0610
BibRef

Hel-Or, Y.,
The Impulse Responses of Block Shift-Invariant Systems and their Use for Demosaicing Algorithms,
ICIP05(II: 1006-1009).
IEEE DOI 0512
BibRef

Kim, C.W.[Chang Won], Kang, M.G.[Moon Gi],
Noise Insensitive High Resolution Demosaicing Algorithm Considering Cross-Channel Correlation,
ICIP05(III: 1100-1103).
IEEE DOI 0512
BibRef

Portilla, J., Otaduy, D., Dorronsoro, C.,
Low-Complexity Linear Demosaicing Using Joint Spatial-Chromatic Image Statistics,
ICIP05(I: 61-64).
IEEE DOI 0512
BibRef

Parrein, B., Tarin, M., Horain, P.,
Demosaicking and JPEG2000 compression of microscopy images,
ICIP04(I: 521-524).
IEEE DOI 0505
BibRef

Omer, I., Werman, M.,
Using natural image properties as demosaicing hints,
ICIP04(III: 1665-1670).
IEEE DOI 0505
BibRef

Kwan, C.[Cindy], Wu, X.L.[Xiao-Lin],
A classification approach to color demosaicking,
ICIP04(IV: 2415-2418).
IEEE DOI 0505
BibRef

Tsubaki, I., Aizawa, K.,
Restoration and demosaicing for pixel mixture images in dsc video clips,
ICIP04(V: 3291-3294).
IEEE DOI 0505
BibRef

Driesen, J., Scheunders, P.,
Wavelet-based color filter array demosaicking,
ICIP04(V: 3311-3314).
IEEE DOI 0505
BibRef

Malvar, H.S.[Henrique S.], He, L.W.[Li-Wei], Cutler, R.[Ross],
High-quality linear interpolation for demosaicing of Bayer-patterned color images,
ICASSP04(xx-yy).
See also Malvar-He-Cutler Linear Image Demosaicking. BibRef 0400

Chapter on Motion Analysis -- Low-Level, Image Level Analysis, Mosaic Generation, Super Resolution, Shape from Motion continues in
Super Resolution or Superresolution, General .


Last update:Oct 22, 2024 at 22:09:59