2016
DOI: 10.1109/tcyb.2015.2401732
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The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement

Abstract: Proper contrast change can improve the perceptual quality of most images, but it has largely been overlooked in the current research of image quality assessment (IQA). To fill this void, we in this paper first report a new large dedicated contrast-changed image database (CCID2014), which includes 655 images and associated subjective ratings recorded from 22 inexperienced observers. We then present a novel reduced-reference image quality metric for contrast change (RIQMC) using phase congruency and statistics i… Show more

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Cited by 347 publications
(153 citation statements)
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“…Test images are collected from four standard databases, i.e., TID2013 [17], CSIQ [18], CCID2014 [10] and RGB-NIR [19]. TID2013 image dataset includes 25 reference images and their contrast-changed versions at Levels 1~5, which respectively correspond to small contrast decreasing/increasing, larger contrast decreasing/increasing and the largest contrast decreasing.…”
Section: Datasets Algorithms and Performance Measuresmentioning
confidence: 99%
“…Test images are collected from four standard databases, i.e., TID2013 [17], CSIQ [18], CCID2014 [10] and RGB-NIR [19]. TID2013 image dataset includes 25 reference images and their contrast-changed versions at Levels 1~5, which respectively correspond to small contrast decreasing/increasing, larger contrast decreasing/increasing and the largest contrast decreasing.…”
Section: Datasets Algorithms and Performance Measuresmentioning
confidence: 99%
“…To make a better choice of the parameters, more complex features [36][37][38][39][40] should be studied, which will be figured out systematically in future work. Besides, since the look-up table model replaced the values one by one, the spatial continuity of the image will be destroyed and some noise will be introduced.…”
Section: Discussionmentioning
confidence: 99%
“…But, this method was based only on LIVE database without taking contrast change into consideration. In [21], Gu et al reported a new large dedicated contrast-changed image database (CCID2014) which includes 655 images and associated subjective ratings recorded from 22 inexperienced observers and proposed a reduced reference image quality metric for contrast change (RIQMC) using phase congruency and statistics information of the image histogram. Validation of the proposed model was conducted on contrast related to CCID2014, TID2008, CSIQ and TID2013 databases.…”
Section: Literature Reviewmentioning
confidence: 99%