Spatial mutual information and PageRank-Based contrast enhancement and Quality-Aware relative contrast measure

Date
2016
Authors
Celik, T.
Advisor
Instructor
Source Title
IEEE Transactions on Image Processing
Print ISSN
1057-7149
Electronic ISSN
Publisher
Institute of Electrical and Electronics Engineers Inc.
Volume
25
Issue
10
Pages
4719 - 4728
Language
English
Type
Article
Journal Title
Journal ISSN
Volume Title
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.

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Other identifiers
Book Title
Keywords
Contrast enhancement, PageRank, 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
Citation
Published Version (Please cite this version)