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Lossy Image compression is necessary for efficient storage and transfer of data.
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Zhou Wang, Eero P Simoncelli, and Alan C Bovik, · 2003
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Rafal Mantiuk, Anna Tomaszewska, and Radoslaw Mantiuk, · 2012
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Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger, · 2017
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“The unreasonable effectiveness of deep features as a perceptual metric,”
Richard Zhang, Phillip Isola, Alexei A Efros, Eli Shechtman, and Oliver Wang, · 2018
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“Nima: Neural image assessment,”
Hossein Talebi and Peyman Milanfar, · 2018
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“Fine-grained quality assessment for compressed images,”
X. Zhang, W. Lin, S. Wang, J. Liu, S. Ma, and W. Gao, · 2019
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Chen Kang, Giuseppe Valenzise, and Frédéric Dufaux, · 2019
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Mingxing Tan and Quoc Le, · 2019
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“Live image quality assessment database release 2,” 2006,
L. Cormack H.R. Sheikh, Z.Wang and A.C. Bovik, · 2020
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“Deep learning model for real-time image compression in internet of underwater things (iout),”
N Krishnaraj, Mohamed Elhoseny, M Thenmozhi, Mahmoud M Selim, and K Shankar, · 2020
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“Highly reliable and low-complexity image compression scheme using neighborhood correlation sequence algorithm in wsn,”
J. Uthayakumar, M. Elhoseny, and K. Shankar, · 2020
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“Lossy compression with distortion constrained optimization,”
Ties van Rozendaal, Guillaume Sautiere, and Taco S. Cohen, · 2020
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Li-Heng Chen, Christos G Bampis, Zhi Li, Andrey Norkin, and Alan C Bovik, · 2020
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“The rate-distortion-accuracy tradeoff: Jpeg case study,”
Xiyang Luo, H. Talebi, Feng Yang, Michael Elad, and P. Milanfar, · 2020
Cited alongside, same era.
Jim Nilsson and Tomas Akenine-Möller, · 2020
Cited alongside, same era.
“Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment,”
Vlad Hosu, Hanhe Lin, Tamas Sziranyi, and Dietmar Saupe, · 2020
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“Rank-smoothed pairwise learning in perceptual quality assessment,”
Hossein Talebi, Ehsan Amid, Peyman Milanfar, and Manfred K Warmuth, · 2020
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Accessed: 2021-01-25
“Usage statistics of jpeg for websites,” https://w3techs.com/technologies/details/im-jpeg, · 2021
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