Perceptual quality assessment of SAR image compression

被引:5
|
作者
Hu, Anzhou [1 ]
Zhang, Rong [1 ]
Yin, Dong [1 ]
Chen, Yuan [1 ]
Zhan, Xin [1 ]
机构
[1] Univ Sci & Technol China, Dept Elect Engn & Informat Sci, Hefei 230026, Peoples R China
关键词
RECONSTRUCTION;
D O I
10.1080/01431161.2013.846488
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Image quality assessment (IQA) is of fundamental importance for image compression applications. Traditional IQA measures for synthetic aperture radar (SAR) image compression do not consider the properties of the human visual system (HVS). Since human beings are still the final users in most SAR image applications, the objective evaluation coordinate to human perception is the most acceptable and practical IQA method. In this article, we carried out an extensive subjective quality assessment experiment in which four different SAR image compression techniques and a total of 300 test images were estimated by 100 human observers. The test result provides a straightforward comparison of these four compression methods. Then the performances of seven classical objective IQA algorithms were validated based on obtained subjective evaluations. Moreover, we propose a novel objective approach by taking into account the HVS and SAR image characteristics. Experimental results demonstrate that the proposed metric correlates well with human perception for SAR image compression.
引用
收藏
页码:8764 / 8788
页数:25
相关论文
共 50 条
  • [31] LEARNED IMAGE COMPRESSION GUIDED ADAPTIVE QUANTIZATION FOR PERCEPTUAL QUALITY
    Chen, Cheng
    Geng, Ruiqi
    Li, Bohan
    Ustarroz-Calonge, Maryla
    Galligan, Frank
    Han, Jingning
    Xu, Yaowu
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 1815 - 1819
  • [32] SAR image compression
    Sakarya, FA
    Emek, S
    THIRTIETH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 1997, : 858 - 862
  • [33] Objective Quality Assessment and Perceptual Compression of Screen Content Images
    Wang, Shiqi
    Gu, Ke
    Zeng, Kai
    Wang, Zhou
    Lin, Weisi
    IEEE COMPUTER GRAPHICS AND APPLICATIONS, 2018, 38 (01) : 47 - 58
  • [34] PERCEPTUAL QUALITY ASSESSMENT FOR H.264/AVC COMPRESSION
    Romaniak, Piotr
    Janowski, Lucjan
    Leszczuk, Mikolaj
    Papir, Zdzislaw
    2012 IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE (CCNC), 2012, : 597 - 602
  • [35] Perceptual quality assessment for multimodal medical image fusion
    Tang, Lu
    Tian, Chuangeng
    Li, Leida
    Hu, Bo
    Yu, Wei
    Xu, Kai
    SIGNAL PROCESSING-IMAGE COMMUNICATION, 2020, 85 (85)
  • [36] Perceptual Image Quality Assessment: Recent Progress and Trends
    Lin, Weisi
    Narwaria, Manish
    VISUAL COMMUNICATIONS AND IMAGE PROCESSING 2010, 2010, 7744
  • [37] Spatial pooling strategies for perceptual image quality assessment
    Wang, Zhou
    Shang, Xinli
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 2945 - +
  • [38] NTIRE 2021 Challenge on Perceptual Image Quality Assessment
    Gu, Jinjin
    Cai, Haoming
    Dong, Chao
    Ren, Jimmy S.
    Qiao, Yu
    Gu, Shuhang
    Timofte, Radu
    Cheon, Manri
    Yoon, Sungjun
    Kang, Byungyeon Kangg
    Lee, Junwoo
    Zhang, Qing
    Guo, Haiyang
    Bin, Yi
    Hou, Yuqing
    Luo, Hengliang
    Guo, Jingyu
    Wang, Zirui
    Wang, Hai
    Yang, Wenming
    Bai, Qingyan
    Shi, Shuwei
    Xia, Weihao
    Cao, Mingdeng
    Wang, Jiahao
    Chen, Yifan
    Yang, Yujiu
    Li, Yang
    Zhang, Tao
    Feng, Longtao
    Liao, Yiting
    Li, Junlin
    Thong, William
    Pereira, Jose Costa
    Leonardis, Ales
    McDonagh, Steven
    Xu, Kele
    Yang, Lehan
    Cai, Hengxing
    Sun, Pengfei
    Ayyoubzadeh, Seyed Mehdi
    Royat, Ali
    Fezza, Sid Ahmed
    Hammou, Dounia
    Hamidouche, Wassim
    Ahn, Sewoong
    Yoon, Gwangjin
    Tsubota, Koki
    Akutsu, Hiroaki
    Aizawa, Kiyoharu
    2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS, CVPRW 2021, 2021, : 677 - 690
  • [39] Image quality assessment based on perceptual structural similarity
    Rao, D. Venkata
    Reddy, L. Pratap
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2007, 4815 : 87 - 94
  • [40] Information Content Weighting for Perceptual Image Quality Assessment
    Wang, Zhou
    Li, Qiang
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2011, 20 (05) : 1185 - 1198