Image Splicing Detection Using Color Edge Inconsistency

We propose a passive image splicing detection method based on consistency check of color distribution in the neighborhood of edge pixels. For a given image, we classify edges into different categories and extract shadow-shading-specular invariant edges as the candidate of splicing boundaries. Hue histogram entropy is then computed to capture abnormality of color distribution at these boundaries. Inconsistency of color distribution among different edge pixel neighborhood is used to localize the splicing boundary. Experiments show effectiveness of the method.