Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement
Joint Authors
Magudeeswaran, V.
Ravichandran, C. G.
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-13
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Fuzzy logic-based histogram equalization (FHE) is proposed for image contrast enhancement.
The FHE consists of two stages.
First, fuzzy histogram is computed based on fuzzy set theory to handle the inexactness of gray level values in a better way compared to classical crisp histograms.
In the second stage, the fuzzy histogram is divided into two subhistograms based on the median value of the original image and then equalizes them independently to preserve image brightness.
The qualitative and quantitative analyses of proposed FHE algorithm are evaluated using two well-known parameters like average information contents (AIC) and natural image quality evaluator (NIQE) index for various images.
From the qualitative and quantitative measures, it is interesting to see that this proposed method provides optimum results by giving better contrast enhancement and preserving the local information of the original image.
Experimental result shows that the proposed method can effectively and significantly eliminate washed-out appearance and adverse artifacts induced by several existing methods.
The proposed method has been tested using several images and gives better visual quality as compared to the conventional methods.
American Psychological Association (APA)
Magudeeswaran, V.& Ravichandran, C. G.. 2013. Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1011055
Modern Language Association (MLA)
Magudeeswaran, V.& Ravichandran, C. G.. Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1011055
American Medical Association (AMA)
Magudeeswaran, V.& Ravichandran, C. G.. Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1011055
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1011055