Scientific recognition of image manipulation using Histogram Equalization and Median Filtering
As the utilization of advanced pictures has expanded, so has the methods and the motivating force to make computerized picture imitations. In like manner, there is an extraordinary requirement for advanced picture criminological strategies for identifying picture changes and produced pictures. Various picture preparing activities, for example, histogram equalization or gamma adjustment, are equal to pixel esteem mappings. In this proposed framework, it shows that pixel esteem mappings desert measurable follows, which will allude to as a mapping's natural unique mark, in a picture's pixel esteem histogram. At that point propose measurable techniques for distinguishing general structures all around and privately applied differentiation improvement just as a strategy for recognizing the utilization of histogram levelling via scanning for the distinguishing highlights of every activity's inborn unique finger impression.
Keywords: Histogram equalization, image manipulation, median filtering.