Bibliographic Details
| Title: |
Digital image steganalysis based on the reciprocal singular value curve. |
| Authors: |
Nouri, Roya1 std_roya_nouri@khu.ac.ir, Mansouri, Azadeh1 a_mansouri@khu.ac.ir |
| Source: |
Multimedia Tools & Applications. Mar2017, Vol. 76 Issue 6, p8745-8756. 12p. |
| Subjects: |
Easter eggs (Computer programs), Cryptography, JPEG (Image coding standard), Topological embeddings, Noise |
| Abstract: |
Embedding secret messages in steganographic approaches is similar to adding some weak noises to the original media. One of the traditional ways for image steganalysis is computing a feature sets using noise residuals. From another perspective, the disturbance of natural image statistics can be explored to extract the feature vector for steganalysis. In fact, the alteration of natural scene statistics can be investigated to reveal the presence of secret messages embedded in images. Hence, the feature vectors can be constructed using such changes. In the proposed scheme, the alteration of singular value curve is used to construct the steganalysis feature vector. Two spatial and JPEG based feature vectors are extracted in the proposed statistical exploitation. The experimental results illustrate the acceptable performance of the proposed feature vectors for both universal and JPEG based steganalysis methods. [ABSTRACT FROM AUTHOR] |
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| Database: |
Engineering Source |
