Bilateral Histogram Equalization for Contrast Enhancement

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Amil, Feroz Mahmud
Rahman, Shanto
Rahman, Md Mostafijur
Dey, Emon Kumar
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2016
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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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International Journal of Software Innovation

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4

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4

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Self-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the author[s] for more information.

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Software engineering

Science & Technology

Computer Science, Software Engineering

Contrast Enhancement

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Amil, FM; Rahman, S; Rahman, MM; Dey, EK, Bilateral Histogram Equalization for Contrast Enhancement, International Journal of Software Innovation, 2016, 4 (4), pp. 15-34

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