Robust image identification without any visible information for double-compressed JPEG images
Kenta Iida, Hitoshi Kiya · 2017
A robust identification scheme for JPEG images is proposed in this paper. The aim is to robustly identify JPEG images generated from the same original image, under various compression conditions assumed for images uploaded to social networks. Conventional schemes are not applicable to identification of double-compressed images because they do not consider the errors caused by double-compression. In the proposed scheme, the use of new properties of DCT coefficients, in which the JPEG compression errors are considered, allows us to identify double-compressed images. In addition, the proposed one can carry out identification without using any visible information. This scheme is well-suited for the uploading images to social networks and for image retrieval and forensics. Experimental results demonstrate that the proposed scheme is effective in terms of the querying performance, even if images are double- compressed.