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论文类型：期刊论文

发表时间：2011-11-01

发表刊物：Advances in Information Sciences and Service Sciences

收录刊物：EI、Scopus

卷号：3

期号：10

页面范围：384-391

ISSN号：19763700

摘要：In this paper, we propose a JPEG image tampering detection method that is robust to post-processing operations such as rotation, resizing, feathering, etc. By finding image blocks that are lack of double compression artifacts, the proposed method can localize the tampered regions. Gray Level Co-occurrence Matrix (GLCM) of the DCT coefficients is used to reveal the double compression artifacts of images. Experiments are designed to show the validity of the proposed method for double compression detection and localization for tampered regions. The proposed method needn't to estimate the first quality factor as most of the previous works do and still works well even when the tampered images are recompressed at a low quality factor.