NDLI: Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy

Content Provider	IEEE Xplore Digital Library
Author	Agaian, S.S. Silver, B. Panetta, K.A.
Copyright Year	1992
Abstract	Many applications of histograms for the purposes of image processing are well known. However, applying this process to the transform domain by way of a transform coefficient histogram has not yet been fully explored. This paper proposes three methods of image enhancement: a) logarithmic transform histogram matching, b) logarithmic transform histogram shifting, and c) logarithmic transform histogram shaping using Gaussian distributions. They are based on the properties of the logarithmic transform domain histogram and histogram equalization. The presented algorithms use the fact that the relationship between stimulus and perception is logarithmic and afford a marriage between enhancement qualities and computational efficiency. A human visual system-based quantitative measurement of image contrast improvement is also defined. This helps choose the best parameters and transform for each enhancement. A number of experimental results are presented to illustrate the performance of the proposed algorithms
Sponsorship	IEEE Signal Processing Society
Page Count	18
File Size	7538842
Starting Page	741
Ending Page	758
File Format	PDF
ISSN	10577149
Volume Number	16
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image enhancement Entropy Histograms Discrete Fourier transforms Discrete cosine transforms Fast Fourier transforms Humans Silver Discrete transforms Fourier transforms transform histogram Contrast entropy contrast measure discrete cosine transform (DCT) discrete Fourier transform (DFT) human vision system image enhancement
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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