PERCEPTUAL IMAGE QUALITY ASSESSMENT USING A GEOMETRIC STRUCTURAL DISTORTION MODEL

被引:28
|
作者
Cheng, Guangquan [1 ,2 ]
Huang, JinCai [1 ]
Zhu, Cheng [1 ]
Liu, Zhong [1 ]
Cheng, Lizhi [2 ]
机构
[1] Natl Univ Def Technol, Key Lab C4ISR, Coll Informat Syst & Management, Changsha 410073, Hunan, Peoples R China
[2] Natl Univ Def Technol, Coll Sci, Changsha 410073, Peoples R China
关键词
Image quality assessment; human visual system; geometric structural distortion;
D O I
10.1109/ICIP.2010.5649265
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The goal of image quality assessment research is to design quantitative measurements for the evaluation of image quality such that it is consistent with subjective human evaluation. Inspired by intrinsic geometric structure of nature images and characteristic of visual perception, we propose a novel geometric structural distortion model for image quality assessment in this paper, which has relatively low computational complexity and clear physical meanings. The experimental results of LIVE image database show that the proposed method is consistent with the subjective assessment of human beings and has a good performance for all distortion types.
引用
收藏
页码:325 / 328
页数:4
相关论文
共 50 条
  • [1] Objective Image Quality Assessment using Perceptual Distortion for Image Retargeting
    Shigwan, Supriya S.
    Birajdar, Gajanan K.
    2015 1ST INTERNATIONAL CONFERENCE ON NEXT GENERATION COMPUTING TECHNOLOGIES (NGCT), 2015, : 955 - 959
  • [2] Objective Quality Assessment for Image Retargeting Based on Perceptual Geometric Distortion and Information Loss
    Hsu, Chih-Chung
    Lin, Chia-Wen
    Fang, Yuming
    Lin, Weisi
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2014, 8 (03) : 377 - 389
  • [3] Full Reference Image Quality Assessment of Perceptual Distortion based on Image Retargeting
    Shigwan, S.
    Birajdar, G.
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING 2016 (ICCASP 2016), 2017, 137 : 404 - 411
  • [4] Geometric directional distortion for full reference image quality assessment
    Cheng, G.
    Cheng, L.
    ELECTRONICS LETTERS, 2009, 45 (25) : 1305 - 1306
  • [5] Wavelet-Based Directional Structural Distortion Model for Image Quality Assessment
    Cheng G.
    Cheng L.
    Li Y.
    Pattern Recognition and Image Analysis, 2010, 20 (3) : 286 - 292
  • [6] Image quality assessment based on perceptual structural similarity
    Rao, D. Venkata
    Reddy, L. Pratap
    PATTERN RECOGNITION AND MACHINE INTELLIGENCE, PROCEEDINGS, 2007, 4815 : 87 - 94
  • [7] Image quality assessment based on energy of structural distortion
    Pang, Jianxin
    Zhang, Rong
    Lu, Lu
    Liu, Zhengkai
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2007, 2007, 4810 : 785 - 793
  • [8] OBJECTIVE QUALITY ASSESSMENT FOR IMAGE RETARGETING BASED ON PERCEPTUAL DISTORTION AND INFORMATION LOSS
    Hsu, Chih-Chung
    Lin, Chia-Wen
    Fang, Yuming
    Lin, Weisi
    2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013), 2013,
  • [9] No-Reference Stereoscopic Image Quality Assessment Based on Image Distortion and Stereo Perceptual Information
    Shen, Liquan
    Fang, Ruigang
    Yao, Yang
    Geng, Xianqiu
    Wu, Dapeng
    IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2019, 3 (01): : 59 - 72
  • [10] From Distortion Manifold to Perceptual Quality: a Data Efficient Blind Image? Quality Assessment Approach
    Su, Shaolin
    Yan, Qingsen
    Zhu, Yu
    Sun, Jinqiu
    Zhang, Yanning
    PATTERN RECOGNITION, 2023, 133