Bi-Level Weighted Histogram Equalization with Adaptive Gamma Correction
Jeena N. Baby, Vithushi Karunakaran · 2014
In this paper the bi-level weighted histogram equalization is combined with adaptive gamma correction method for better brightness preservation and contrast enhancement. The main idea of this method is to initially divide the input dimmed image into R, G and B components and apply the probability density function and weighting constraints on each component separately. And finally, an adaptive gamma correction method is applied to each component and their union produces a brightness preserved and contrast enhanced output image. The performance of this technique is calculated using Absolute mean brightness error (AMBE) measure.