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Steganalytic Features for JPEG Compression-Based Perturbed Quantization

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3 Author(s)
Gkhan Gul ; Electron. Eng. Dept., Uludag Univ., Bursa ; Ahmet Emir Dirik ; smail Avcibas

Perturbed quantization (PQ) data hiding is almost undetectable with the current steganalysis methods. We briefly describe PQ and propose singular value decomposition (SVD)-based features for the steganalysis of JPEG-based PQ data hiding in images. We show that JPEG-based PQ data hiding distorts linear dependencies of rows/columns of pixel values, and proposed features can be exploited within a simple classifier for the steganalysis of PQ. The proposed steganalyzer detects PQ embedding on relatively smooth stego images with 70% detection accuracy on average for different embedding rates

Published in:

IEEE Signal Processing Letters  (Volume:14 ,  Issue: 3 )