DefinePK

Abstract

RSA algorithm is used to overcome security attack. Neural network classification is used to detect the forgery involved in digital images. Contrast Enhancement is typically used to adjust the global brightness and contrast of digital images. It is significant to detect contrast enhancement for verifying the originality and authenticity of the digital images. The main strategy relies on the blind identification of zero-height gap bins. Two data sets are taken for evaluation, namely, Dataset1 and Dataset2. Dataset1 is the unaltered image and Dataset2 is altered image from the original image. The detection of global contrast enhancement in both the images are determined. The zero-height gap bins in gray level histograms are exploited as identifying features. The probabilities of detection and false alarm determined by thresholds which are calculated as the percentage of the enhanced images correctly classified and that of the unenhanced images incorrectly classified, respectively. The receiver operating characteristic curves are generated for evaluation. The consistency between regional artifacts is checked for detecting image forgeries and locating composition boundaries.