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
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
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] 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
  • [3] 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
  • [4] A Perceptual Image Quality Assessment Metric Using Singular Value Decomposition
    Wang, Shuigen
    Cui, Dongshun
    Wang, Baoxian
    Zhao, Baojun
    Yang, Jinglin
    CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2015, 34 (01) : 209 - 229
  • [5] A Perceptual Image Quality Assessment Metric Using Singular Value Decomposition
    Shuigen Wang
    Dongshun Cui
    Baoxian Wang
    Baojun Zhao
    Jinglin Yang
    Circuits, Systems, and Signal Processing, 2015, 34 : 209 - 229
  • [6] 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
  • [7] Image Quality Assessment by Combining Masking Texture and Perceptual Color Difference Model
    Tang, Zhisen
    Zheng, Yuanlin
    Wang, Wei
    Liao, Kaiyang
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2020, 14 (07): : 2938 - 2956
  • [8] Perceptual image quality assessment: a survey
    Zhai Guangtao
    Min Xiongkuo
    SCIENCE CHINA-INFORMATION SCIENCES, 2020, 63 (11)
  • [9] Perceptual image quality assessment: a survey
    Guangtao Zhai
    Xiongkuo Min
    Science China Information Sciences, 2020, 63
  • [10] IMPORT OF DISTORTION ON SALIENCY APPLIED TO IMAGE QUALITY ASSESSMENT
    Wang, Qing
    Xu, Lin
    Chen, Qiang
    Sun, Quansen
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 1165 - 1169
12345