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
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
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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 .