A New Technique of Image Enhancement by Equalizing the Bivariate Probability Density of Brightness

2019 ◽  
Author(s):  
Sergei Yelmanov ◽  
Yuriy Romanyshyn
Keyword(s):  
Probability Density ◽  
Image Enhancement ◽  
New Technique ◽  
A New Technique ◽  
Bivariate Probability

Bilateral Histogram Equalization for Contrast Enhancement

2018 ◽  
pp. 1224-1244
Author(s):  
Feroz Mahmud Amil ◽  
Shanto Rahman ◽  
Md. Mostafijur Rahman ◽  
Emon Kumar Dey
Keyword(s):  
Contrast Enhancement ◽  
Image Enhancement ◽  
State Of The Art ◽  
Histogram Equalization ◽  
Harmonic Mean ◽  
New Technique ◽  
Qualitative And Quantitative ◽  
Quantitative Manner ◽  
A New Technique

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.

Bilateral Histogram Equalization for Contrast Enhancement

2016 ◽  
Vol 4 (4) ◽  
pp. 15-34 ◽  
Author(s):  
Feroz Mahmud Amil ◽  
Shanto Rahman ◽  
Md. Mostafijur Rahman ◽  
Emon Kumar Dey
Keyword(s):  
Contrast Enhancement ◽  
Image Enhancement ◽  
State Of The Art ◽  
Histogram Equalization ◽  
Harmonic Mean ◽  
New Technique ◽  
Qualitative And Quantitative ◽  
Quantitative Manner ◽  
A New Technique

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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