Vol. 2, Issue 4 (2015)
Enhancement of an image is used to improve, emphasize and sharpen the features of an image for visual perception of human beings. It’s basic application is used to preprocess for computer vision applications. It is an analysis method in which the set of pixel values of one image is transformed to a new set of pixel values so that the new image formed is in visual ,desirable form and suitable for post processing analysis. In this paper we proposed Histogram equalization and Bi-histogram equalization for grey scale images. We have simulated our techniques in Mat-lab environment and tested successfully comparing the Psnr and Mse values. From the estimated statistical parameters in all the techniques, we found Bi-histogram equalization to be the most efficient technique in case of grayscale images.
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