Applicability limitations of differentiable full-reference image-quality metrics

被引：2
|
作者：
Siniukov, Maksim [1 ]
Kulikov, Dmitriy [1 ,2 ]
Vatolin, Dmitriy [1 ,2 ]
机构：
[1] Lomonosov Moscow State Univ, Moscow 119234, Russia
[2] MSU Inst Artificial Intelligence, Moscow 119234, Russia
来源：
2023 DATA COMPRESSION CONFERENCE, DCC | 2023年
基金：
俄罗斯科学基金会;
关键词：
D O I：
10.1109/DCC55655.2023.00082
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
引用
收藏
页码：363 / 363
页数：1
相关论文
共 50 条
  • [41] Evaluation of Full-Reference Objective Video Quality Metrics on High Efficiency Video Coding
    Van Wallendael, Glenn
    Van Leuven, Sebastiaan
    De Cock, Jan
    Lambert, Peter
    Van de Walle, Rik
    Staelens, Nicolas
    Demeester, Piet
    2013 IFIP/IEEE INTERNATIONAL SYMPOSIUM ON INTEGRATED NETWORK MANAGEMENT (IM 2013), 2013, : 1294 - 1299
  • [42] Bridge the Gap Between Full-Reference and No-Reference: A Totally Full-Reference Induced Blind Image Quality Assessment via Deep Neural Networks
    Ma, Xiaoyu
    Zhang, Suiyu
    Liu, Chang
    Yu, Dingguo
    CHINA COMMUNICATIONS, 2023, 20 (06) : 215 - 228
  • [43] Machine learning to design full-reference image quality assessment algorithm
    Charrier, Christophe
    Lezoray, Olivier
    Lebrun, Gilles
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2012, 27 (03) : 209 - 219
  • [44] Full-reference image quality assessment using statistical local correlation
    Ding, Yong
    Wang, Shaoze
    Zhang, Dong
    ELECTRONICS LETTERS, 2014, 50 (02) : 79 - 80
  • [45] Dynamic Receptive Field Generation for Full-Reference Image Quality Assessment
    Kim, Woojae
    Nguyen, Anh-Duc
    Lee, Sanghoon
    Bovik, Alan Conrad
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 29 : 4219 - 4231
  • [46] Machine learning to design full-reference image quality assessment algorithm
    Ling, Wang Yu
    Hu, Yang
    Telkomnika - Indonesian Journal of Electrical Engineering, 2013, 11 (06): : 3439 - 3444
  • [47] A weighted full-reference image quality assessment based on visual saliency
    Wen, Yang
    Li, Ying
    Zhang, Xiaohua
    Shi, Wuzhen
    Wang, Lin
    Chen, Jiawei
    JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2017, 43 : 119 - 126
  • [48] FULL-REFERENCE METRIC ADAPTIVE IMAGE DENOISING
    Hara, Kenji
    Inoue, Kohei
    Urahama, Kiichi
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 2419 - 2423
  • [49] Saliency Inspired Full-Reference Quality Metrics for Packet-Loss-Impaired Video
    Feng, Xin
    Liu, Tao
    Yang, Dan
    Wang, Yao
    IEEE TRANSACTIONS ON BROADCASTING, 2011, 57 (01) : 81 - 88
  • [50] Saliency and Texture Information Based Full-Reference Quality Metrics for Video QoE Assessment
    Luo, Qian
    Geng, Yang
    Liu, Jichun
    Li, Wenjing
    2014 IEEE NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (NOMS), 2014,
12345