Brightness preserving bi-level fuzzy histogram equalization for MRI brain image contrast enhancement

2017 ◽  
Vol 27 (2) ◽  
pp. 153-161 ◽  
Author(s):  
V. Magudeeswaran ◽  
C. G. Ravichandran ◽  
P. Thirumurugan
Keyword(s):  
Contrast Enhancement ◽  
Histogram Equalization ◽  
Image Contrast ◽  
Brain Image ◽  
Mri Brain ◽  
Image Contrast Enhancement ◽  
Fuzzy Histogram ◽  
Mri Brain Image

scholarly journals Fuzzy Logic-Based Histogram Equalization for Image Contrast Enhancement

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
V. Magudeeswaran ◽  
C. G. Ravichandran
Keyword(s):  
Fuzzy Logic ◽  
Contrast Enhancement ◽  
Histogram Equalization ◽  
Image Contrast ◽  
Experimental Result ◽  
Natural Image ◽  
Original Image ◽  
Qualitative And Quantitative ◽  
Image Contrast Enhancement ◽  
Fuzzy Histogram

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.

scholarly journals Local Contrast Enhancement Utilizing Bidirectional Switching Equalization of Separated and Clipped Subhistograms

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Haidi Ibrahim ◽  
Seng Chun Hoo
Keyword(s):  
Contrast Enhancement ◽  
Histogram Equalization ◽  
Processing Technique ◽  
Image Contrast ◽  
Local Contrast ◽  
Image Contrast Enhancement ◽  
Enhancement Method ◽  
Equalization Technique ◽  
Histogram Bins ◽  
Almost All

Digital image contrast enhancement methods that are based on histogram equalization technique are still useful for the use in consumer electronic products due to their simple implementation. However, almost all the suggested enhancement methods are using global processing technique, which does not emphasize local contents. Therefore, this paper proposes a new local image contrast enhancement method, based on histogram equalization technique, which not only enhances the contrast, but also increases the sharpness of the image. Besides, this method is also able to preserve the mean brightness of the image. In order to limit the noise amplification, this newly proposed method utilizes local mean-separation, and clipped histogram bins methodologies. Based on nine test color images and the benchmark with other three histogram equalization based methods, the proposed technique shows the best overall performance.

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