Image Splicing Detection Based on Texture Consistency of Shadow

Abstract

This paper takes the advantage of the property that the shadow will not obviously change the surface texture of object and presents a method based on texture feature consistency of shadow for image splicing detection. First, texture features of shadows areas and its adjacent lit areas are extracted. Then, the Euclidean distance is used to measure the similarity of texture features. Last, a texture features fusion framework integrating multiple texture cues for forgery detection is proposed to improve algorithm performance, robustness, and adaptability. Experimental results show that the algorithm is simple and effective.