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http://dx.doi.org/10.7469/JKSQM.2016.44.3.527

A Study on Perceived Contrast Measure and Image Quality Improvement Method Based on Human Vision Models  

Choi, Jong Soo (Defense Agency for Technology and Quality(DTaQ))
Cho, Heejin (Defense Agency for Technology and Quality(DTaQ))
Publication Information
Journal of Korean Society for Quality Management / v.44, no.3, 2016 , pp. 527-540 More about this Journal
Abstract
Purpose: The purpose of this study was to propose contrast metric which is based on the human visual perception and thus it can be used to improve the quality of digital images in many applications. Methods: Previous literatures are surveyed, and then the proposed method is modeled based on Human Visual System(HVS) such as multiscale property of the contrast sensitivity function (CSF), contrast constancy property (suprathreshold), color channel property. Furthermore, experiments using digital images are shown to prove the effectiveness of the method. Results: The results of this study are as follows; regarding the proposed contrast measure of complex images, it was found by experiments that HVS follows relatively well compared to the previous contrast measurement. Conclusion: This study shows the effectiveness on how to measure the contrast of complex images which follows human perception better than other methods.
Keywords
Perceived Contrast; Contrast Sensitivity Function(CSF); Human Vision System(HVS); Adaptation; Contrast metric;
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