A New Steganalysis Approach Based on Both Complexity Estimate and Statistical Filter
PCM '02 Proceedings of the Third IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Detecting Hidden Messages Using Higher-Order Statistics and Support Vector Machines
IH '02 Revised Papers from the 5th International Workshop on Information Hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
Reliable detection of LSB steganography in color and grayscale images
MM&Sec '01 Proceedings of the 2001 workshop on Multimedia and security: new challenges
Steganalysis using image quality metrics
IEEE Transactions on Image Processing
Identifying steganographic payload location in binary image
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
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The aim of steganalysis is to uncover the concealed secret message in the multimedia carrier. Now, most steganalysis approaches focus on two issues: one is detecting whether there existed a secret message, and the other is estimating the length of the secret message. In this paper, we present a new secret message location steganalysis based on local coherences of hue (LCH) to determine the stego-bearing regions for color digital images. For the stego-image, which is sequentially embedded with messages in spatial domain, stego-bearing regions can be determined by analyzing the changes of coherence of hue. Experimental results show that the proposed LCH steganalysis has high detection accuracy.