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Robust Image Identification with DC Coefficients for Double-Compressed JPEG Images
Kenta IIDA Hitoshi KIYA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2019/01/01
Online ISSN: 1745-1361
Type of Manuscript: Special Section PAPER (Special Section on Enriched Multimedia — Making Multimedia More Convenient and Safer —)
JPEG, image identification, social networks,
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In the case that images are shared via social networking services (SNS) and cloud photo storage services (CPSS), it is known that the JPEG images uploaded to the services are mostly re-compressed by the providers. Because of such a situation, a new image identification scheme for double-compressed JPEG images is proposed in this paper. The aim is to detect a single-compressed image that has the same original image as the double-compressed ones. In the proposed scheme, a feature extracted from only DC coefficients in DCT coefficients is used for the identification. The use of the feature allows us not only to robustly avoid errors caused by double-compression but also to perform the identification for different size images. The simulation results demonstrate the effectiveness of the proposed one in terms of the querying performance.