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Proceedings Paper

A passive scheme for tampering detection based on quantization table estimation
Author(s): Guo-Shiang Lin; Min-Kuan Chang
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Paper Abstract

In this paper, we proposed a passive scheme to achieve image tampering detection. To correctly estimate the quantization table, each AC DCT coefficient is classified into different types and then the corresponding quantization stepsize is adaptively measured from its power spectrum density (PSD) and PSD's Fourier transform. Based on the quantization table estimation, the proposed scheme is composed of pre-screening, candidate region selection, and tampering region identification. The pre-screening is developed to decide whether an image had been JPEG compressed. To select candidate regions for estimating quantization table, a seed region is first selected by finding a suitable region by removing suspicious regions. Based on the seed region, the candidate region can be obtained by suitably merging other regions into the seed. To avoid merging the suspect regions, a candidate region refinement is performed in the region growing. After estimating the quantization table from the candidate region, a MLR classifier based on the inconsistency of quantization table is exploited to identify tampered regions block by block. The experimental results demonstrate that our proposed scheme can not only estimate the quantization table but also identify tampered regions well.

Paper Details

Date Published: 6 August 2010
PDF: 10 pages
Proc. SPIE 7744, Visual Communications and Image Processing 2010, 774433 (6 August 2010); doi: 10.1117/12.863502
Show Author Affiliations
Guo-Shiang Lin, Da-Yeh Univ. (Taiwan)
Min-Kuan Chang, National Chung Hsing Univ. (Taiwan)

Published in SPIE Proceedings Vol. 7744:
Visual Communications and Image Processing 2010
Pascal Frossard; Houqiang Li; Feng Wu; Bernd Girod; Shipeng Li; Guo Wei, Editor(s)

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