An Effective Algorithm of Image Splicing Detection

Abstract

To implement image splicing detection a blind, passive and effective splicing detection scheme was proposed in this paper. The model was based on moment features extracted from the multi-size block discrete cosine transform (MBDCT) and some image quality metrics (IQMs) extracted from the given test image, which are sensitive to spliced image. This model can measure statistical differences between original image and spliced image. Experimental results demonstrate that this new splicing detection algorithm is effective and reliable; indicating that the proposed approach has a broad application prospect.