Title of article
Bi-Level Weighted Histogram Equalization for Scalable Brightness Preservation and Contrast Enhancement for Images
Author/Authors
Pichai, Shanmugavadivu Gandhigram Rural Institute-Deemed University - Department of Computer Science and Applications, India , Krishnasamy, Balasubramanian PSNA College of Engineering and Technology - Department of Computer Applications, India , Karuppanagounder, Somasundaram Gandhigram Rural Institute-Deemed University - Department of Computer Science and Applications, India
From page
603
To page
609
Abstract
A new technique, Bi-Level Weighted Histogram Equalization (BWHE) is proposed in this paper for the purpose of better brightness preservation and contrast enhancement of any input image. This technique applies bi-level weighting procedure on Brightness preserving Bi-Histogram Equalization (BBHE) to enhance the input images. The core idea of this method is to first segment the histogram of the input image into two, based on its mean and then weighting constraints are applied to each of the sub-histogram separately. Finally, those two histograms are equalized independently and their union produces a brightness preserved and contrast enhanced output image. This technique is found to preserve the brightness and enhance the contrast of input images better than its contemporary methods
Keywords
Contrast enhancement , brightness preservation , histogram equalization , peak signal to noise ratio , absolute mean brightness error , structural similarity index matrix
Journal title
The International Arab Journal of Information Technology (IAJIT)
Journal title
The International Arab Journal of Information Technology (IAJIT)
Record number
2544021
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