Detection and Identification of Image Manipulation Based on Reversible Histogram Shift

Abstract

Verification of image manipulation for various alterations is an indispensable technology to protect original images. Conventional forgery detection methods using fingerprint are useful, since the original image is not required in detection process. However, manipulated local region can't be specified. Further, type of manipulation is not identified. In this paper, a novel forgery identification method based on reversible histogram shift is proposed. Our method can detect partial and overall manipulation regions and identify manipulation type. Simulation results are shown to demonstrate the effectiveness of our method using various types of manipulated database images.