Fetching the paper…
Reading the bibliography…
Could we compress images via standard codecs while avoiding visible artifacts? The answer is obvious -- this is doable as long as the bit budget is generous enough.
The JPEG still picture compression standard
Gregory K Wallace · 1992
Earlier work this paper cites.
Iterative procedures for reduction of blocking effects in transform image coding
Avideh Zakhor · 1992
Earlier work this paper cites.
Astronomical image compression based on noise suppression
Jean-Luc Starck, Fionn Murtagh, Benoit Pirenne, and Miguel Albrecht · 1996
Earlier work this paper cites.
Review of postprocessing techniques for compression artifact removal
Mei-Yin Shen and C-C. Jay Kuo · 1998
Earlier work this paper cites.
Kodak lossless true color image suite
Rich Franzen · 1999
Earlier work this paper cites.
The JPEG2000 still image coding system: an overview
Charilaos Christopoulos, Athanassios Skodras, and Touradj Ebrahimi · 2000
Earlier work this paper cites.
Comparison of multiple compression cycle performance for JPEG and JPEG 2000
Rajan L Joshi, Majid Rabbani, and Margaret A Lepley · 2000
Earlier work this paper cites.
Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts
Tao Chen, Hong Ren Wu, and Bin Qiu · 2001
Earlier work this paper cites.
Blockiness reduction in JPEG coded images
GA Triantaffilidis, D Sampson, D Tzovaras, and MG Strintzis · 2002
Earlier work this paper cites.
Down-scaling for better transform compression
Alfred M Bruckstein, Michael Elad, and Ron Kimmel · 2003
Earlier work this paper cites.
Adapted total variation for artifact free decompression of JPEG images
Francois Alter, Sylvain Durand, and Jacques Froment · 2005
Earlier work this paper cites.
Deblocking of block-transform compressed images using weighted sums of symmetrically aligned pixels
Amir Z Averbuch, Alon Schclar, and David L Donoho · 2005
Earlier work this paper cites.
Artifact reduction with diffusion preprocessing for image compression
Ivan Kopilovic and Tamás Szirányi · 2005
Earlier work this paper cites.
Variable projection for near-optimal filtering in low bit-rate block coders
Yaakov Tsaig, Michael Elad, Peyman Milanfar, and Gene H Golub · 2005
Earlier work this paper cites.
Adaptive downsampling to improve image compression at low bit rates
Weisi Lin and Li Dong · 2006
Earlier work this paper cites.
Preprocessing method for dct-based image-compression
Munenori Oizumi · 2006
Earlier work this paper cites.
Post-processing for restoring edges and removing artifacts of low bit rates wavelet-based image
Ke Du, Jianming Lu, Hiroo Sekiya, and Takashi Yahagi · 2007
Earlier work this paper cites.
An adaptive pocs algorithm for compression artifacts removal
Tomislav Kartalov, Zoran A Ivanovski, Ljupcho Panovski, and Lina J Karam · 2007
Earlier work this paper cites.
Image preprocessing for compression: Attribute filtering
Florence Tushabe and M. H. F. Wilkinson · 2007
Earlier work this paper cites.
Compression artifacts reduction using variational methods: Algorithms and experimental study
Pierre Weiss, Laure Blanc-Féraud, Thomas André, and Marc Antonini · 2008
Earlier work this paper cites.
Low bit-rate image compression via adaptive down-sampling and constrained least squares upconversion
Xiaolin Wu, Xiangjun Zhang, and Xiaohan Wang · 2009
Earlier work this paper cites.
Efficient quadtree based block-shift filtering for deblocking and deringing
Guangtao Zhai, Weisi Lin, Jianfei Cai, Xiaokang Yang, and Wenjun Zhang · 2009
Cited alongside, same era.
A new algorithm for removing compression artifacts of wavelet-based image
Ke Du, Haiyun Han, and Gang Wang · 2011
Cited alongside, same era.
Deep sparse rectifier neural networks
Xavier Glorot, Antoine Bordes, and Yoshua Bengio · 2011
Cited alongside, same era.
Objective assessment of the webp image coding algorithm
Maurizio Pintus Ginesu, Giaime and Daniele D. Giusto · 2012
Cited alongside, same era.
Image deblocking via sparse representation
Cheolkon Jung, Licheng Jiao, Hongtao Qi, and Tian Sun · 2012
Cited alongside, same era.
No-reference image quality assessment in the spatial domain
Anish Mittal, Anush Krishna Moorthy, and Alan Conrad Bovik · 2012
Cited alongside, same era.
Perceptual losses for real-time style transfer and super-resolution
Justin Johnson, Alexandre Alahi, and Li Fei-Fei · 2016
Later among the works it cites.
Composition-preserving deep photo aesthetics assessment
Long Mai, Hailin Jin, and Feng Liu · 2016
Later among the works it cites.
Instance normalization: The missing ingredient for fast stylization
Dmitry Ulyanov, Andrea Vedaldi, and Victor Lempitsky · 2016
Later among the works it cites.
D3: Deep dual-domain based fast restoration of JPEG-compressed images
Zhangyang Wang, Ding Liu, Shiyu Chang, Qing Ling, Yingzhen Yang, and Thomas S. Huang · 2016
Later among the works it cites.
End-to-end optimized image compression
Johannes Ballé, Valero Laparra, and Eero P. Simoncelli · 2017
Later among the works it cites.
Cas-cnn: A deep convolutional neural network for image compression artifact suppression
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
http://mpeg.chiariglione.org/standards/mpeg-h/high-efficiency-video-coding/requirements-still-image-coding-using-hevc , 2013
Requirements for still image coding using hevc · 2013
Cited alongside, same era.
Learning without human scores for blind image quality assessment
Wufeng Xue, Lei Zhang, and Xuanqin Mou · 2013
Cited alongside, same era.
Compression artifact reduction by overlapped-block transform coefficient estimation with block similarity
Xinfeng Zhang, Ruiqin Xiong, Xiaopeng Fan, Siwei Ma, and Wen Gao · 2013
Cited alongside, same era.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba · 2014
Cited alongside, same era.
Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2014
Cited alongside, same era.
Compression artifacts reduction by a deep convolutional network
Chao Dong, Deng Yubin, Change Loy Chen, and Xiaoou Tang · 2015
Cited alongside, same era.
Lukas Cavigelli, Pascal Hager, and Luca Benini · 2017
Later among the works it cites.
Deep generative adversarial compression artifact removal
Leonardo Galteri, Lorenzo Seidenari, marco Bertini, and Alberto Del Bimbo · 2017
Later among the works it cites.
Photo-realistic single image super-resolution using a generative adversarial network
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, et al · 2017
Later among the works it cites.
JPEG-resistant adversarial images
Richard Shin and Dawn Song · 2017
Later among the works it cites.
Tensorflow compression., 2018
Johannes Ballé, Sung Jin Hwang, Nick Johnston, and David Minnen · 2018
Later among the works it cites.
Variational image compression with a scale hyperprior
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, and Nick Johnston · 2018
Later among the works it cites.
An efficient algorithm for compression-based compessed sensing
Sajjad Beygi, Shirin Jalali, Arian Maleki, and Urbashi Mitra · 2018
Later among the works it cites.
Optimized pre-compensating compression
Yehuda Dar, Michael Elad, and Alfred M Bruckstein · 2018
Later among the works it cites.
System-aware compression
Yehuda Dar, Michael Elad, and Alfred M Bruckstein · 2018
Later among the works it cites.
Deformation aware image compression
Tamar Rott Shaham and Tomer Michaeli · 2018
Later among the works it cites.
Learned perceptual image enhancement
Hossein Talebi and Peyman Milanfar · 2018
Later among the works it cites.
NIMA: Neural image assessment
Hossein Talebi and Peyman Milanfar · 2018
Later among the works it cites.
Generative adversarial networks for extreme learned image compression
Eirikur Agustsson, Michael Tschannen, Fabian Mentzer, Radu Timofte, and Luc Van Gool · 2019
Later among the works it cites.
Rethinking lossy compression: The rate-distortion-perception tradeoff
Yochai Blau and Tomer Michaeli · 2019
Later among the works it cites.
http://w3techs.com/technologies/details/im-jpeg , 2020
Usage statistics of JPEG for websites · 2020
Closest in time.