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CLC number: TP317.4

On-line Access: 2011-11-04

Received: 2011-01-02

Revision Accepted: 2011-06-09

Crosschecked: 2011-09-28

Cited: 2

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.11 P.897-909

http://doi.org/10.1631/jzus.C1100004


Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations


Author(s):  Qiao-song Chen, Choon-woo Kim

Affiliation(s):  School of Information and Communication Engineering, Inha University, Incheon 402-751, Korea

Corresponding email(s):   cwkim@inha.ac.kr

Key Words:  Contrast evaluation, Global contrast, Local contrast, Within content, Cross content, Statistical significance


Qiao-song Chen, Choon-woo Kim. Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations[J]. Journal of Zhejiang University Science C, 2011, 12(11): 897-909.

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T1 - Contrast evaluation methods for natural color images in display systems: within- and cross-content evaluations
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1100004


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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