Spatial mutual information and PageRank-Based contrast enhancement and Quality-Aware relative contrast measure
Author(s)
Date
2016Source Title
IEEE Transactions on Image Processing
Print ISSN
1057-7149
Publisher
Institute of Electrical and Electronics Engineers Inc.
Volume
25
Issue
10
Pages
4719 - 4728
Language
English
Type
ArticleItem Usage Stats
223
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506
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Abstract
This paper proposes a novel algorithm for global contrast enhancement using a new definition of spatial mutual information (SMI) of gray levels of an input image and PageRank algorithm. The gray levels are used to represent nodes in PageRank algorithm, and the weights between the nodes are computed according to their dependence and spatial spread over the image, which is quantified by using SMI. The rank vector of gray levels resulted from PageRank algorithm is used in mapping input gray levels to output. The damping factor of the PageRank algorithm is utilized to control the level of perceived global contrast on the output image. Furthermore, a new metric is proposed for image quality-Aware relative contrast measurement between input and output images. Experimental results show that the proposed algorithm consistently produces good results. © 1992-2012 IEEE.
Keywords
Contrast enhancementPageRank
Quality-Aware relative contrast measure
Spatial mutual information
Image processing
Mathematical models
Contrast enhancement
Contrast measurements
Global contrasts
Input and outputs
Mutual informations
Novel algorithm
PageRank
PageRank algorithm
Algorithms
Permalink
http://hdl.handle.net/11693/36502Published Version (Please cite this version)
http://dx.doi.org/10.1109/TIP.2016.2599103Collections
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