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Sliced Maximal Information Coefficient: A Training-Free Approach for
  Image Quality Assessment Enhancement

Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement

19 August 2024
Kang Xiao
Xu Wang
Yulin He
Baoliang Chen
Xuelin Shen
ArXivPDFHTML

Papers citing "Sliced Maximal Information Coefficient: A Training-Free Approach for Image Quality Assessment Enhancement"

5 / 5 papers shown
Title
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual
  Image Restoration
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration
Jinjin Gu
Haoming Cai
Haoyu Chen
Xiaoxing Ye
Jimmy S. J. Ren
Chao Dong
44
194
0
23 Jul 2020
Image Quality Assessment: Unifying Structure and Texture Similarity
Image Quality Assessment: Unifying Structure and Texture Similarity
Keyan Ding
Kede Ma
Shiqi Wang
Eero P. Simoncelli
82
773
0
16 Apr 2020
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
297
11,610
0
11 Jan 2018
Deep Neural Networks for No-Reference and Full-Reference Image Quality
  Assessment
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
S. Bosse
Dominique Maniry
K. Müller
Thomas Wiegand
Wojciech Samek
55
994
0
06 Dec 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
928
99,991
0
04 Sep 2014
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