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Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Bilateral Histogram Equalization for Contrast Enhancement

Bilateral Histogram Equalization for Contrast Enhancement
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Author(s): Feroz Mahmud Amil (University of Dhaka, Bangladesh), Shanto Rahman (University of Dhaka, Bangladesh), Md. Mostafijur Rahman (University of Dhaka, Bangladesh)and Emon Kumar Dey (University of Dhaka, Bangladesh)
Copyright: 2018
Pages: 21
Source title: Computer Vision: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-5204-8.ch051

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Abstract

As image enhancement is a well discussed issue, various methods have already been proposed till to date. Some of these methods perform well for specific applications but most of the techniques suffer from artifacts due to the over or under enhancement. To mitigate this problem a new technique namely Bilateral Histogram Equalization for contrast enhancement (BHE) which uses Harmonic mean of the image to divide the histogram is introduced. BHE is evaluated in both qualitative and quantitative manner and the results show that BHE creates less artifacts on several standard images than other existing state-of-the-art image enhancement techniques.

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