CONTRAST ENHANCEMENT - BASED FORENSICS IN DIGITAL IMAGES

As a retouching manipulation, contrast enhancement is typically used to adjust the global brightness and contrast of digital images. In this paper, we propose two novel algorithms to detect the contrast enhancement involved manipulations in digital images. The consistency between regional artifacts is checked for discovering the image forgeries and locating the composition boundary Contrast Enh ancement is a technique of improving the quality of image so that the brightness of the image is preserved. Although there are various techniques implemented for the contrast enhancement but contrast enhancement of HDR images is difficult to achieve. To o vercome such problems contrast enhancement of HDR images using genetic algorithm is proposed. The algorithm implemented here uses genetic algorithm for the filtering of image such as noise reduction and enhance the contrast of image. The proposed algorithm performs better as compared to the other HDR contrast enhancement techniques. The idea is to use genetic algorithm which performs a number of iterations and detect the regions in the image where enhancement is required.