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Existing quality enhancement methods for compressed images focus on aligning the enhancement domain with the raw domain to yield realistic images.
MFQE 2.0: A New Approach for Multi-frame Quality Enhancement on Compressed Video
Zhenyu Guan, Qunliang Xing, Mai Xu, Ren Yang, Tie Liu, and Zulin Wang · 1902
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Graphs: Theory and Algorithms
K. Thulasiraman and M.N.S. Swamy · 1992
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The JPEG still picture compression standard
G.K. Wallace · 1992
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Review of Postprocessing Techniques for Compression Artifact Removal
Mei-Yin Shen and C. C. Jay Kuo · 1998
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An overview of JPEG-2000
M.W. Marcellin, M.J. Gormish, A. Bilgin, and M.P. Boliek · 2000
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Calculation of average PSNR differences between RD-curves
Gisle Bjontegaard · 2001
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Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding, Kede Ma, Shiqi Wang, and Eero P. Simoncelli · 2004
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High-Fidelity Generative Image Compression, 2020
Fabian Mentzer, George Toderici, Michael Tschannen, and Eirikur Agustsson · 2006
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Study of subjective and objective quality assessment of video
Kalpana Seshadrinathan, Rajiv Soundararajan, Alan Conrad Bovik, and Lawrence K. Cormack · 2010
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Overview of the high efficiency video coding (HEVC) standard
Gary J. Sullivan, Jens-Rainer Ohm, Woo-Jin Han, and Thomas Wiegand · 2012
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Making a “Completely Blind” Image Quality Analyzer
Anish Mittal, Rajiv Soundararajan, and Alan C. Bovik · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Conditional Generative Adversarial Nets, 2014
Mehdi Mirza and Simon Osindero · 2014
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Compression artifacts reduction by a deep convolutional network
Chao Dong, Yubin Deng, Chen Change Loy, and Xiaoou Tang · 2015
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Jimmy Lei Ba, Jamie Ryan Kiros, and Geoffrey E. Hinton · 2016
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Building dual-domain representations for compression artifacts reduction
Jun Guo and Hongyang Chao · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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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
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Towards Principled Methods for Training Generative Adversarial Networks
Martin Arjovsky and Leon Bottou · 2017
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GANs trained by a two time-scale update rule converge to a local nash equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, and Sepp Hochreiter · 2017
Cited alongside, same era.
P.10 : Vocabulary for performance, quality of service and quality of experience, 2017
International Telecommunication Union Communication Standardization Sector (ITU-T) · 2017
Cited alongside, same era.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig, L. Theis, F. Huszar, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, and W. Shi · 2017
Cited alongside, same era.
A novel deep learning-based method of improving coding efficiency from the decoder-end for HEVC
Tingting Wang, Mingjin Chen, and Hongyang Chao · 2017
Cited alongside, same era.
Learning Deep CNN Denoiser Prior for Image Restoration
K. Zhang, W. Zuo, S. Gu, and L. Zhang · 2017
Cited alongside, same era.
Towards the Perceptual Quality Enhancement of Low Bit-rate Compressed Images
Y. Kim, S. Cho, J. Lee, S. Jeong, J. Choi, and J. Do · 2020
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A U-Net Based Discriminator for Generative Adversarial Networks
E. Schonfeld, B. Schiele, and A. Khoreva · 2020
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Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network
Shaolin Su, Qingsen Yan, Yu Zhu, Cheng Zhang, Xin Ge, Jinqiu Sun, and Yanning Zhang · 2020
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Image De-Raining Using a Conditional Generative Adversarial Network
He Zhang, Vishwanath Sindagi, and Vishal M. Patel · 2020
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NTIRE 2017 challenge on single image super-resolution: Dataset and study
Eirikur Agustsson and Radu Timofte · 2021
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Toward Interactive Modulation for Photo-Realistic Image Restoration
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Better portable graphics (BPG), 2018
Fabrice Bellard · 2018
Cited alongside, same era.
The perception-distortion tradeoff
Yochai Blau and Tomer Michaeli · 2018
Cited alongside, same era.
The 2018 PIRM Challenge on Perceptual Image Super-Resolution
Yochai Blau, Roey Mechrez, Radu Timofte, Tomer Michaeli, and Lihi Zelnik-Manor · 2018
Cited alongside, same era.
Spectral Normalization for Generative Adversarial Networks
Takeru Miyato, Toshiki Kataoka, Masanori Koyama, and Yuichi Yoshida · 2018
Cited alongside, same era.
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, and Chen Change Loy · 2018
Cited alongside, same era.
Multi-frame quality enhancement for compressed video
Ren Yang, Mai Xu, Zulin Wang, and Tianyi Li · 2018
Cited alongside, same era.
The unreasonable effectiveness of deep features as a perceptual metric
Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, and Oliver Wang · 2018
Cited alongside, same era.
Haoming Cai, Jingwen He, Yu Qiao, and Chao Dong · 2021
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MUSIQ: Multi-Scale Image Quality Transformer
Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, and Feng Yang · 2021
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Real-ESRGAN: Training Real-World Blind Super-Resolution With Pure Synthetic Data
Xintao Wang, Liangbin Xie, Chao Dong, and Ying Shan · 2021
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Multi-stage progressive image restoration
Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, and Ling Shao · 2021
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Attentions Help CNNs See Better: Attention-Based Hybrid Image Quality Assessment Network
Shanshan Lao, Yuan Gong, Shuwei Shi, Sidi Yang, Tianhe Wu, Jiahao Wang, Weihao Xia, and Yujiu Yang · 2022
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Early exit or not: Resource-efficient blind quality enhancement for compressed images
Qunliang Xing, Mai Xu, Tianyi Li, and Zhenyu Guan · 2022
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Perceptual Learned Video Compression with Recurrent Conditional GAN, 2022
Ren Yang, Radu Timofte, and Luc Van Gool · 2022
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Progressive Training of A Two-Stage Framework for Video Restoration
Meisong Zheng, Qunliang Xing, Minglang Qiao, Mai Xu, Lai Jiang, Huaida Liu, and Ying Chen · 2022
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TOPIQ: A Top-down Approach from Semantics to Distortions for Image Quality Assessment, 2023
Chaofeng Chen, Jiadi Mo, Jingwen Hou, Haoning Wu, Liang Liao, Wenxiu Sun, Qiong Yan, and Weisi Lin · 2023
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IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse
Yang Li, Liangliang Shi, and Junchi Yan · 2023
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Exploring CLIP for Assessing the Look and Feel of Images
Jianyi Wang, Kelvin C. K. Chan, and Chen Change Loy · 2023
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Triangle inequality — Wikipedia, The Free Encyclopedia, 2023
Wikipedia contributors · 2023
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DAQE: Enhancing the Quality of Compressed Images by Exploiting the Inherent Characteristic of Defocus
Qunliang Xing, Mai Xu, Xin Deng, and Yichen Guo · 2023
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