Adaptive Contrast Enhancement for Medical Image Analysis
C. Berdin, D.S. Maribha, Shalini Narayana · CiiT international journal of digital image processing · 2012
Our chief goal in this paper is to produce a contrastenhancement technique to recover an image within a given area, froma blurred and darkness specimen, also improve visual quality of it.This paper describes a real time contrast enhancement technique forDigital Imaging. This method called ACE is based on a modifiedhistogram equalization procedure that adapts to the input videostatistics. The method decides whether to increase dynamic range orto light up dark regions of the image. As a result, for dark images,details in dark areas are enhanced without affecting mid and brightpixels. For images with average brightness, the dynamic range of thescene is increased. Thus it is adaptive and provides a localizedcontrast enhancement effect which is not possible with traditionalcontrast stretching based approaches. In contrast enhancementstep 3x3 slider map window was applied to the image to determine ifthe corresponding pixel will be remapped or not. Unlike otherhistogram equalization based approaches, the technique describedautomatically tones down its effects on pictures that are prone tocontouring and other artifacts. The implementation offers a highdegree of flexibility that is needed for consumer electronicsapplications such as provision of various degrees of enhancement andexclusion of letter box regions.