Please wait a minute...
FITEE
Front. Inform. Technol. Electron. Eng.  2011, Vol. 12 Issue (11): 897-909    DOI: 10.1631/jzus.C1100004
    
Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations
Qiao-song Chen, Choon-woo Kim*
School of Information and Communication Engineering, Inha University, Incheon 402-751, Korea
Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations
Qiao-song Chen, Choon-woo Kim*
School of Information and Communication Engineering, Inha University, Incheon 402-751, Korea
 全文: PDF(1135 KB)  
摘要： Contrast evaluation can be used as a criterion to evaluate performance of contrast enhancement algorithms and to compare contrast capability of display systems. This paper deals with contrast evaluation models for natural color images. Two separate models are defined for within- and cross-content evaluations. The former is to differentiate the perceived contrast of the images with the same content. The latter is to discriminate the differences in contrast among the images with different contents. Perception mechanisms are quite different for within- and cross-content evaluations. Local contrast plays an important role in within-content evaluation. In contrast, global contrast dominates the contrast perception for cross-content evaluation. Results of human visual experiments show that the proposed evaluation models outperform previous methods for both within- and cross-content evaluations.
关键词： Contrast evaluation;  Global contrast;  Local contrast;  Within content;  Cross content;  Statistical significance    
Abstract: Contrast evaluation can be used as a criterion to evaluate performance of contrast enhancement algorithms and to compare contrast capability of display systems. This paper deals with contrast evaluation models for natural color images. Two separate models are defined for within- and cross-content evaluations. The former is to differentiate the perceived contrast of the images with the same content. The latter is to discriminate the differences in contrast among the images with different contents. Perception mechanisms are quite different for within- and cross-content evaluations. Local contrast plays an important role in within-content evaluation. In contrast, global contrast dominates the contrast perception for cross-content evaluation. Results of human visual experiments show that the proposed evaluation models outperform previous methods for both within- and cross-content evaluations.
Key words: Contrast evaluation    Global contrast    Local contrast    Within content    Cross content    Statistical significance
收稿日期: 2011-01-02 出版日期: 2011-11-04
CLC:  TP317.4  
服务　　
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章　　
Qiao-song Chen
Choon-woo Kim

引用本文:

Qiao-song Chen, Choon-woo Kim. Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations. Front. Inform. Technol. Electron. Eng., 2011, 12(11): 897-909.

链接本文:

http://www.zjujournals.com/xueshu/fitee/CN/10.1631/jzus.C1100004    或    http://www.zjujournals.com/xueshu/fitee/CN/Y2011/V12/I11/897

[1] Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG. Optical plasma boundary reconstruction based on least squares for EAST Tokamak[J]. Front. Inform. Technol. Electron. Eng., 2018, 19(9): 1124-1134.