Passive Forensics of Spliced Blurred Image Based on Blind Source Separation
Dan Wang · Journal of Chinese Computer Systems · 2013
This paper proposes a passive forensics method for spliced blurred image based on blind source separation( BSS). The blur parameters are estimated by the characteristics of spliced image in the cepstrum domain,and then the blurring kernels are constructed and the spliced blurred image is restored. This paper also develop a newmeasure scheme of ringing effect in order to estimate the mixing matrix and then recover all source images,making us able to identify the spliced region and the background region. Experimental results showa high detection accuracy on the spliced image with various blurring operations. Compared with other existing algorithms,the proposed method has better robustness against gaussian noise and lossy JPEG compression.