Fetching the paper…
Reading the bibliography…
We propose a method for lossy image compression based on recurrent, convolutional neural networks that outperforms BPG (4:2:0 ), WebP, JPEG2000, and JPEG as measured by MS-SSIM.
Image compression by back propagation: An example of extensional programming
P. Munro and D. Zipser · 1989
Earlier work this paper cites.
The jpeg still picture compression standard
G. K. Wallace · 1991
Earlier work this paper cites.
Image compression with neural networks–a survey
J. Jiang · 1999
Earlier work this paper cites.
Standard, International Organization for Standardization, Geneva, CH, Dec. 2000
Information technology–JPEG 2000 image coding system · 2000
Earlier work this paper cites.
Calcuation of average PSNR differences between RD-curves
G. Bjøntegaard · 2001
Earlier work this paper cites.
Multiscale structural similarity for image quality assessment
Z. Wang, E. P. Simoncelli, and A. C. Bovik · 2003
Earlier work this paper cites.
Image quality assessment: from error visibility to structural similarity
Z. Wang, A. Bovik, A. Conrad, H. R. Sheikh, and E. P. Simoncelli · 2004
Earlier work this paper cites.
Reducing the dimensionality of data with neural networks
G. E. Hinton and R. R. Salakhutdinov · 2006
Earlier work this paper cites.
Using very deep autoencoders for content-based image retrieval
A. Krizhevsky and G. E. Hinton · 2011
Cited alongside, same era.
Extracting and composing robust features with denoising autoencoders
P. Vincent, H. Larochelle, Y. Bengio, and P.-A. Manzagol · 2012
Cited alongside, same era.
TESTIMAGES: A large-scale archive for testing visual devices and basic image processing algorithms
N. Asuni and A. Giachetti · 2014
Cited alongside, same era.
Communicating pictures
D. Bull · 2014
Cited alongside, same era.
Empirical evaluation of gated recurrent neural networks on sequence modeling
J. Chung, C. Gulcehre, K. Cho, and Y. Bengio · 2014
Cited alongside, same era.
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 · 2016
Later among the works it cites.
Multiple hypothesis colorization and its application to image compression
M. H. Baig and L. Torresani · 2017
Closest in time.
End-to-end optimized image compression
J. Ballé, V. Laparra, and E. P. Simoncelli · 2017
Closest in time.
BPG image format (http://bellard.org/bpg/)
F. Bellard · 2017
Closest in time.
WebP: Compression techniques (http://developers. google.com/speed/webp/docs/compression)
Google · 2017
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
D. P. Kingma and J. Ba · 2014
Cited alongside, same era.
Density modeling of images using a generalized normalization transformation
J. Ballé, V. Laparra, and E. P. Simoncelli · 2016
Cited alongside, same era.
Towards conceptual compression
K. Gregor, F. Besse, D. Jimenez Rezende, I. Danihelka, and D. Wierstra · 2016
Cited alongside, same era.
Kodak lossless true color image suite (PhotoCD PCD0992)
E. Kodak
Cited in the paper.
S. Santurkar, D. Budden, and N. Shavit · 2017
Closest in time.
Lossy image compression with compressive autoencoders
L. Theis, W. Shi, A. Cunningham, and F. Huszar · 2017
Closest in time.
Full resolution image compression with recurrent neural networks
G. Toderici, D. Vincent, N. Johnston, S. J. Hwang, D. Minnen, J. Shor, and M. Covell · 2017
Closest in time.