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Image demosaicking and denoising are the first two key steps of the color image production pipeline.
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Design of practical color filter array interpolation algorithms for digital cameras .2,
J. E. Adams, · 1998
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Noise reduction techniques for bayer-matrix images,
O. Kalevo, H. Rantanen, · 2002
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High-quality linear interpolation for demosaicing of bayer-patterned color images,
H. Malvar, L. wei He, R. Cutler, · 2004
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Image quality assessment: from error visibility to structural similarity,
Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, · 2004
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Color demosaicking via directional linear minimum mean square-error estimation,
Lei Zhang, Xiaolin Wu, · 2005
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Frequency-domain methods for demosaicking of bayer-sampled color images,
E. Dubois, · 2005
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Linear demosaicing inspired by the human visual system,
D. Alleysson, S. Susstrunk, J. Herault, · 2005
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Filter design for adaptive frequency-domain bayer demosaicking,
E. Dubois, · 2006
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Color image denoising via sparse 3d collaborative filtering with grouping constraint in luminance-chrominance space,
K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, · 2007
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A case for denoising before demosaicking color filter array data,
S. H. Park, H. S. Kim, S. Lansel, M. Parmar, B. A. Wandell, · 2009
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Cross-color bm3d filtering of noisy raw data,
A. Danielyan, M. Vehvilainen, A. Foi, V. Katkovnik, K. Egiazarian, · 2009
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Self-similarity driven color demosaicking,
A. Buades, B. Coll, J. Morel, C. Sbert, · 2009
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Non-local sparse models for image restoration,
J. Mairal, F. Bach, J. Ponce, G. Sapiro, A. Zisserman, · 2009
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Joint demosaicking and denoisingwith space-varying filters,
D. Menon, G. Calvagno, · 2009
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Regularization approaches to demosaicking,
D. Menon, G. Calvagno, · 2009
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A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising,
L. Condat, · 2010
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Gradient based threshold free color filter array interpolation,
I. Pekkucuksen, Y. Altunbasak, · 2010
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Color demosaicking by local directional interpolation and nonlocal adaptive thresholding,
L. Zhang, X. Wu, A. Buades, X. Li, · 2011
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Joint demosaicking and denoising by total variation minimization,
L. Condat, S. Mosaddegh, · 2012
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Joint demosaicking and denoising by total variation minimization,
L. Condat, S. Mosaddegh, · 2012
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Residual interpolation for color image demosaicking,
D. Kiku, Y. Monno, M. Tanaka, M. Okutomi, · 2013
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Guided image filtering,
K. He, J. Sun, X. Tang, · 2013
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Making a “completely blind” image quality analyzer,
A. Mittal, R. Soundararajan, A. C. Bovik, · 2013
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A generic proximal algorithm for convex optimization—application to total variation minimization,
L. Condat, · 2014
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Minimized-laplacian residual interpolation for color image demosaicking,
D. Kiku, Y. Monno, M. Tanaka, M. Okutomi, · 2014
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Self-similarity and spectral correlation adaptive algorithm for color demosaicking,
J. Duran, A. Buades, · 2014
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Joint demosaicing and denoising via learned nonparametric random fields,
D. Khashabi, S. Nowozin, J. Jancsary, A. W. Fitzgibbon, · 2014
Deep image demosaicking using a cascade of convolutional residual denoising networks,
F. Kokkinos, S. Lefkimmiatis, · 2018
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A wavelet-gsm approach to demosaicking,
J. Zhang, A. Sheng, K. Hirakawa, · 2018
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Demosaicking based on channel-correlation adaptive dictionary learning,
C. Bai, J. Li, Z. Lin, · 2018
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Color image demosaicking using a 3-stage convolutional neural network structure,
K. Cui, Z. Jin, E. Steinbach, · 2018
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Learning deep convolutional networks for demosaicing,
N.-S. Syu, Y.-S. Chen, Y.-Y. Chuang, · 2018
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Universal denoising networks : A novel cnn architecture for image denoising,
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Cited alongside, same era.
Adam: A method for stochastic optimization,
D. P. Kingma, J. Ba, · 2014
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification,
K. He, X. Zhang, S. Ren, J. Sun, · 2015
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Single image super-resolution from transformed self-exemplars,
J. Huang, A. Singh, N. Ahuja, · 2015
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Deep residual learning for image recognition,
K. He, X. Zhang, S. Ren, J. Sun, · 2016
Cited alongside, same era.
Deep joint demosaicking and denoising,
M. Gharbi, G. Chaurasia, S. Paris, F. Durand, · 2016
Cited alongside, same era.
Beyond color difference: Residual interpolation for color image demosaicking,
D. Kiku, Y. Monno, M. Tanaka, M. Okutomi, · 2016
Cited alongside, same era.
S. Lefkimmiatis, · 2018
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Lightweight deep residue learning for joint color image demosaicking and denoising,
T. Huang, F. F. Wu, W. Dong, G. Shi, X. Li, · 2018
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Image demosaicking via chrominance images with parallel convolutional neural networks,
T. Yamaguchi, M. Ikehara, · 2019
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Higher-resolution network for image demosaicing and enhancing,
K. Mei, J. Li, J. Zhang, H. Wu, J. Li, R. Huang, · 2019
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Iterative joint image demosaicking and denoising using a residual denoising network,
F. Kokkinos, S. Lefkimmiatis, · 2019
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Joint demosaicking and denoising by fine-tuning of bursts of raw images,
T. Ehret, A. Davy, P. Arias, G. Facciolo, · 2019
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Unprocessing images for learned raw denoising,
T. Brooks, B. Mildenhall, T. Xue, J. Chen, D. Sharlet, J. T. Barron, · 2019
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A review of an old dilemma: Demosaicking first, or denoising first?,
Q. Jin, G. Facciolo, J. Morel, · 2020
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Multilevel edge features guided network for image denoising,
F. Fang, J. Li, Y. Yuan, T. Zeng, G. Zhang, · 2020
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Joint demosaicing and denoising with self guidance,
L. Liu, X. Jia, J. Liu, Q. Tian, · 2020
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Soft-edge assisted network for single image super-resolution,
F. Fang, J. Li, T. Zeng, · 2020
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Residual network with detail perception loss for single image super-resolution,
Z. Wen, J. Guan, T. Zeng, Y. Li, · 2020
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Fast, nonlocal and neural: A lightweight high quality solution to image denoising,
Y. Guo, A. Davy, G. Facciolo, J.-M. Morel, Q. Jin, · 2021
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Idpcnn: Iterative denoising and projecting cnn for mri reconstruction,
R. Hou, F. Li, · 2021
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Joint denoising and demosaicking with green channel prior for real-world burst images,
S. Guo, Z. Liang, L. Zhang, · 2021
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End-to-end learning for joint image demosaicing, denoising and super-resolution,
W. Xing, K. Egiazarian, · 2021
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A Mathematical Analysis and Implementation of Residual Interpolation Demosaicking Algorithms,
Q. Jin, Y. Guo, J.-M. Morel, G. Facciolo, · 2021
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Demosaicking by alternating projections: Theory and fast one-step implementation,
Y. M. Lu, M. Karzand, M. Vetterli, · 2098
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