Exposing Image Sharpen Forgeries Based on Dyadic Contrast Contourlet

Abstract

In order to distinguish the sharpening operation in a manipulated image, a sharpen forgeries detection algorithm is proposed. Combined with efficient image signal processing method, a new non-subsampled dyadic contourlet transform based on contrast a trous wavelet is designed. In contourlet domain, sharpening characteristics are analyzed by multi-scale and multi-directional methods. A classifier is trained by artificial intelligence methods to complete sharpening tampered image detection. Experimental results show that the algorithm in this paper can detect possible sharpening and locate the tampering boundary accurately.