Image Contrast Enhancement Using Adaptive Slope

Hwa-Soo WOO
Jong-Wha CHONG

IEICE TRANSACTIONS on Information and Systems   Vol.E97-D    No.5    pp.1382-1385
Publication Date: 2014/05/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E97.D.1382
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
adaptive contrast enhancement,  first derivative,  convolution redistribution scheme,  

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In this paper, we propose an algorithm for contrast enhancement based on Adaptive Histogram Equalization (AHE) to improve image quality. Most histogram-based contrast enhancement methods have problems with excessive or low image contrast enhancement. This results in unnatural output images and the loss of visual information. The proposed method manipulates the slope of the input of the Probability Density Function (PDF) histogram. We also propose a pixel redistribution method using convolution to compensate for excess pixels after the slope modification procedure. Our method adaptively enhances the contrast of the input image and shows good simulation results compared with conventional methods.