Perceived image contrast measurement using multi-scale adaptation and spatial vision characteristics

Jongsoo Choi, Seungji Yang, Bwalya Kelvin Joseph, Soo Jun Park, Yong Man Ro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Image contrast is an objective measure representing one of the distinct visual information. Although several contrast definitions are available in the literatures, most fail to match human perception. In this paper, we propose a no-reference objective contrast metric for complex images which follows the human visual perception. The contrast metric is obtained using the contrast perception depending image spatial frequency. Furthermore, the proposed contrast measurement includes integrating factors of human visual characteristics such as multi-scale property, contrast constancy property (supra-threshold region), color channel property and local adaptation property of the contrast sensitivity function (CSF).

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007
Pages263-268
Number of pages6
Publication statusPublished - 2007
Externally publishedYes
Event2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007 - Las Vegas, NV, United States
Duration: 25 Jun 200728 Jun 2007

Publication series

NameProceedings of the 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007

Conference

Conference2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2007
Country/TerritoryUnited States
CityLas Vegas, NV
Period25/06/0728/06/07

Keywords

  • Contrast sensitivity function
  • Human visual system
  • Perceived contrast

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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