Adaptive Contrast Enhancement for Medical Image Analysis

Our chief goal in this paper is to produce a contrast enhancement technique to recover an image within a given area, from a blurred and darkness specimen, also improve visual quality of it. This paper describes a real time contrast enhancement technique for Digital Imaging. This method called ACE is based on a modified histogram equalization procedure that adapts to the input video statistics. The method decides whether to increase dynamic range or to light up dark regions of the image. As a result, for dark images,details in dark areas are enhanced without affecting mid and bright pixels. For images with average brightness, the dynamic range of the scene is increased. Thus it is adaptive and provides a localized contrast enhancement effect which is not possible with traditional contrast stretching based approaches. In contrast enhancement step 3×3 slider map window was applied to the image to determine if the corresponding pixel will be remapped or not. Unlike other histogram equalization based approaches, the technique described automatically tones down its effects on pictures that are prone to contouring and other artifacts. The implementation offers a high degree of flexibility that is needed for consumer electronics applications such as provision of various degrees of enhancement and exclusion of letter box regions.