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

Autor:	Choon-Woo Kim, Qiao-song Chen
Rok vydání:	2011
Předmět:	Contrast enhancement Computer science business.industry media_common.quotation_subject General Engineering Contrast perception Perception Evaluation methods Content (measure theory) Natural (music) Contrast (vision) Computer vision Artificial intelligence business media_common
Zdroj:	Journal of Zhejiang University SCIENCE C. 12:897-909
ISSN:	1869-196X 1869-1951
DOI:	10.1631/jzus.c1100004
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b712210438ea4eaa875740fab64f63a https://doi.org/10.1631/jzus.c1100004 Zobrazit plný text záznamu