A Digital Forgery Image Detection Algorithm Based on Wavelet Homomorphic Filtering

A novel forgery image detection algorithm is proposed to recognize some traces of artificial blur operation that is one of common ways to forge a digital image. Firstly, a wavelet homonorphic filtering is applied to enhance the high frequency edges after the blurring process. Secondly, the natural edges are eroded by mathematical morphology method, and then the enhanced artificial blur edges are preserved. Finally, the forgery image regions are localized by the region labeling method. Experimental results demonstrate the proposed method can detect forgery area accurately and reduce the detecting errors when some artificial blur operations are used to create a forgery image.