Key points are not available for this paper at this time.
A fast and effective method for image contrast enhancement is presented. In the proposed method, the probability distribution function (histogram) of an image is modified by weighting and thresholding before the histogram equalization (HE) is performed. We show that such an approach provides a convenient and effective mechanism to control the enhancement process, while being adaptive to various types of images. We also discuss application of the proposed method in video enhancement. Experimental results are presented and compared with results from other contemporary methods.
Wang et al. (Mon,) studied this question.