Structural Information-Based Image Quality Assessment Models
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    The objective assessment algorithm Structural Similarity(SSIM) of image quality was not consistent with the Mean Opinion Score (MOS) in particular types of distoration, such as seriously blurred type, etc. In this paper, three models Edeg-based SSIM, HVS-based SSIM, and IW-SSIM which had considered the characteristics both of HVS and structural information were compared in evaluating the seriously Gaussian blurred images. The experimental datas showed that, the IW-SSIM's monotony perfomance was more stable than other models in the relationship between the subjective and objective values, as well as the growing accuracy of the ESSIM and HSSIM. These experimental results are benefit for improvingt the SSIM approach.

    Reference
    Related
    Cited by
Get Citation

顾丽旻,王晓红.基于结构信息的图像质量评价模型.计算机系统应用,2012,21(2):42-46

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:May 23,2011
  • Revised:June 23,2011
  • Adopted:
  • Online:
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063