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A New Approach for Image Contrast Enhancement Using Morphological Filters
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Digital image enhancement techniques are used for improving the quality of the digital image. Contrast enhancement, one of the digital image enhancement techniques, is a process that normalizes the gray level of the input image so that sudden and unexpected changes in the illumination are removed. Image contrast enhancement techniques are used for extracting several hidden image characteristics from the image background. This paper proposes a new methodology for image contrast enhancement that is based on the concept of normalization of the image contrast with the help of morphological filters. Two methods are proposed here for detecting the image background from the images which are captured with poor lighting, one method uses the combination of opening and closing morphological filters and another method uses top-hat by opening morphological filter. Also, the performance of proposed algorithm for image contrast enhancement is demonstrated against a recently proposed method.
Keywords
Image Background Detection, Image Contrast Enhancement, Morphological Filters, Weber Contrast Measure.
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