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

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      Author(s)
      Celik, T.
      Date
      2016
      Source 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
      Article
      Item Usage Stats
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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 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
      Permalink
      http://hdl.handle.net/11693/36502
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/TIP.2016.2599103
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      • Department of Electrical and Electronics Engineering 3863
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