Variance Based Brightness Preserved Dynamic Histogram Equalization for Image Contrast Enhancement
- Authors: Dhal K.G.1, Das A.2, Ghoshal N.3, Das S.3
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Affiliations:
- Dept. of Computer Science and Application
- Dept. of Information Technology
- Dept. of Engineering and Technological Studies
- Issue: Vol 28, No 4 (2018)
- Pages: 747-757
- Section: Representation, Processing, Analysis, and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/195499
- DOI: https://doi.org/10.1134/S1054661818040211
- ID: 195499
Cite item
Abstract
This paper proposes a novel variant of Brightness Preserving Dynamic Histogram Equalization (BPDHE) having more brightness preserving capability with less computational time. This variant, called Variance based Brightness Preserve Dynamic Histogram Equalization (VBBPDHE) uses the interclass and intraclass variance information to segment out the histogram recursively. This variant does not need the smoothing operation of input histogram and also no need to compute local maxima or minima to segment out the histogram unlike BPDHE. Visual analysis, quality metrics and execution time clearly demonstrate the efficiency of the proposed VBBPDHE over well-known existing methods.
About the authors
Krishna Gopal Dhal
Dept. of Computer Science and Application
Author for correspondence.
Email: krishnacse42@gmail.com
India, Paschim Medinipur, West Bengal
Arunita Das
Dept. of Information Technology
Email: krishnacse42@gmail.com
India, Kalyani, Nadia
Nabin Ghoshal
Dept. of Engineering and Technological Studies
Email: krishnacse42@gmail.com
India, Kalyani, Nadia
Sanjoy Das
Dept. of Engineering and Technological Studies
Email: krishnacse42@gmail.com
India, Kalyani, Nadia
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