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Image authentication is an important topic in image forensics, which tells whether an image is tampered or not or even tells the tampered regions. To implement image authentication, image hash techniques have been reported recently. In this paper, we investigate existing image hash algorithms, and design an novel image hash based on human being's visual system. In this algorithm, we capture the perceptual...
Digital images are facing trustworthy crisis with the emergence of various digital image process tools and steganography tools. Current digital image forensic methods can not evaluate the digital image's trustworthiness. Base on Dempster-Shafer (D-S) evidence theory, this paper proposed a new model which can effectively evaluate digital image trustworthiness. Instead of using Dempster's original rule...
In order to design the image hash from human being's view, we capture the perceptual characters of the image using Gabor filter which can sense the directions in the image just like human's primary visual cortex. For a given image, we compute the reference scale, direction and block to make sure the final hash can resist against RST (Rotation, Scale, Translation) attacks while maintain the sensitivity...
MB1 is a very promising steganography. In this paper, a novel steganalysis scheme is presented to detect MB1. Many experiments are carried out based on high order features, and some useful propositions are learned from those experimental results. Based on those propositions we propose an effective MB1 detection algorithm. Experimental results show that the new proposed method has outperformed the...
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