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Lossy image compression is generally formulated as a joint rate-distortion optimization to learn encoder, quantizer, and decoder.
Arithmetic coding for data compression
I. H. Witten, R. M. Neal, and J. G. Cleary · 1987
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The jpeg still picture compression standard
G. K. Wallace · 1992
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The jpeg 2000 still image compression standard
A. Skodras, C. Christopoulos, and T. Ebrahimi · 2001
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Context-based adaptive binary arithmetic coding in the h. 264/avc video compression standard
D. Marpe, H. Schwarz, and T. Wiegand · 2003
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Just noticeable distortion model and its applications in video coding
X. Yang, W. Ling, Z. Lu, E. P. Ong, and S. Yao · 2005
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Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Imagenet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
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Image denoising and inpainting with deep neural networks
J. Xie, L. Xu, and E. Chen · 2012
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Learning a deep convolutional network for image super-resolution
C. Dong, C. C. Loy, K. He, and X. Tang · 2014
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Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
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Adam: A method for stochastic optimization
D. Kingma and J. Ba · 2014
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Deep face recognition
O. M. Parkhi, A. Vedaldi, and A. Zisserman · 2015
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Generative image modeling using spatial lstms
L. Theis and M. Bethge · 2015
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M. Courbariaux, I. Hubara, D. Soudry, R. El-Yaniv, and Y. Bengio · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Pixel recurrent neural networks
A. v. d. Oord, N. Kalchbrenner, and K. Kavukcuoglu · 2016
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Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
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Full resolution image compression with recurrent neural networks
G. Toderici, D. Vincent, N. Johnston, S. J. Hwang, D. Minnen, J. Shor, and M. Covell · 2016
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Variable rate image compression with recurrent neural networks
G. Toderici, S. M. O’Malley, S. J. Hwang, D. Vincent, D. Minnen, S. Baluja, M. Covell, and R. Sukthankar · 2015
Cited alongside, same era.
End-to-end optimized image compression
J. Ballé, V. Laparra, and E. P. Simoncelli · 2016
Cited alongside, same era.
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Dorefa-net: Training low bitwidth convolutional neural networks with low bitwidth gradients
S. Zhou, Y. Wu, Z. Ni, X. Zhou, H. Wen, and Y. Zou · 2016
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Lossy image compression with compressive autoencoders
L. Theis, W. Shi, A. Cunningham, and F. Huszár · 2017
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