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Image reconstruction techniques such as denoising often need to be applied to the RGB output of cameras and cellphones.
A fast two-dimensional median filtering algorithm
T. Huang, G. Yang, and G. Tang · 1979
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D. L. Donoho and J. M. Johnstone · 1994
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Apparatus and method for adaptively interpolating a full color image utilizing luminance gradients, Jan. 17 1995
R. H. Hibbard · 1995
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Noise removal via bayesian wavelet coring
E. P. Simoncelli and E. H. Adelson · 1996
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C. Tomasi and R. Manduchi · 1998
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A simulation tool for evaluating digital camera image quality
J. E. Farrell, F. Xiao, P. B. Catrysse, and B. A. Wandell · 2003
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Image denoising using scale mixtures of gaussians in the wavelet domain
J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli · 2003
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Adaptive homogeneity-directed demosaicing algorithm
K. Hirakawa and T. W. Parks · 2005
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Image denoising with block-matching and 3d filtering
K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian · 2006
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Learning photographic global tonal adjustment with a database of input/output image pairs
V. Bychkovsky, S. Paris, E. Chan, and F. Durand · 2011
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Flexisp: A flexible camera image processing framework
F. Heide, M. Steinberger, Y.-T. Tsai, M. Rouf, D. Pajak, D. Reddy, O. Gallo, J. Liu, W. Heidrich, K. Egiazarian, et al · 2014
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
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scikit-image: image processing in Python
S. van der Walt, J. L. Schönberger, J. Nunez-Iglesias, F. Boulogne, J. D. Warner, N. Yager, E. Gouillart, T. Yu, and the scikit-image contributors · 2014
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Deep joint demosaicking and denoising
M. Gharbi, G. Chaurasia, S. Paris, and F. Durand · 2016
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Burst photography for high dynamic range and low-light imaging on mobile cameras
S. W. Hasinoff, D. Sharlet, R. Geiss, A. Adams, J. T. Barron, F. Kainz, J. Chen, and M. Levoy · 2016
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A high-quality denoising dataset for smartphone cameras
A. Abdelhamed, S. Lin, and M. S. Brown · 2018
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Burst image deblurring using permutation invariant convolutional neural networks
M. Aittala and F. Durand · 2018
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Unprocessing images for learned raw denoising
T. Brooks, B. Mildenhall, T. Xue, J. Chen, D. Sharlet, and J. T. Barron · 2018
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Learning to see in the dark
C. Chen, Q. Chen, J. Xu, and V. Koltun · 2018
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Learning data terms for non-blind deblurring
J. Dong, J. Pan, D. Sun, Z. Su, and M.-H. Yang · 2018
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H. C. Karaimer and M. S. Brown · 2016
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Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Cited alongside, same era.
Benchmarking denoising algorithms with real photographs
T. Plotz and S. Roth · 2017
Cited alongside, same era.
Beyond a gaussian denoiser: Residual learning of deep cnn for image denoising
K. Zhang, W. Zuo, Y. Chen, D. Meng, and L. Zhang · 2017
Cited alongside, same era.
http://www.photonstophotos.net/Charts/RN_ADU.htm#Apple%20iPhone%207_12,Samsung%20Galaxy%20S6(S5K2P2)_10
Read noise in dns versus iso setting · 2018
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https://www.dxomark.com/Cameras/Samsung/Galaxy-S6-Edge---Measurements
Samsung galaxy s6 edge : Measurements - dxomark · 2018
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S. Guo, Z. Yan, K. Zhang, W. Zuo, and L. Zhang · 2018
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Noise2noise: Learning image restoration without clean data
J. Lehtinen, J. Munkberg, J. Hasselgren, S. Laine, T. Karras, M. Aittala, and T. Aila · 2018
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Differentiable programming for image processing and deep learning in halide
T.-M. Li, M. Gharbi, A. Adams, F. Durand, and J. Ragan-Kelley · 2018
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Neural nearest neighbors networks
T. Plötz and S. Roth · 2018
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Ffdnet: Toward a fast and flexible solution for cnn-based image denoising
K. Zhang, W. Zuo, and L. Zhang · 2018
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Deepisp: Toward learning an end-to-end image processing pipeline
E. Schwartz, R. Giryes, and A. M. Bronstein · 2019
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