Robust image authentication method surviving JPEG lossy compression

Ching-Yung Lin; Shih-Fu Chang

doi:10.1117/12.298462

23 December 1997 Robust image authentication method surviving JPEG lossy compression

Ching-Yung Lin, Shih-Fu Chang

Proceedings Volume 3312, Storage and Retrieval for Image and Video Databases VI; (1997) https://doi.org/10.1117/12.298462
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

Image authentication verifies the originality of an image by detecting malicious manipulations. This goal is different from that of image watermarking which embeds into the image a signature surviving most manipulations. Existing methods for image authentication treat all types of manipulation equally (i.e., as unacceptable). However, some applications demand techniques that can distinguish acceptable manipulations (e.g., compression) from malicious ones. In this paper, we describe an effective technique for image authentication which can prevent malicious manipulations but allow JPEG lossy compression. The authentication signature is based on the invariance of the relationship between DCT coefficients of the same position in separate blocks of an image. This relationship will be preserved when these coefficients are quantized in a JPEG compression process. Our proposed method can distinguish malicious manipulations from JPEG lossy compression regardless of how high the compression ratio is. We also show that, in different practical cases, the design of authenticator depends on the number of recompression times and on whether the image is decoded into integral values in the pixel domain during the recompression process. Theoretical and experimental results indicate that this technique is effective for image authentication.

Citation Download Citation

Ching-Yung Lin and Shih-Fu Chang "Robust image authentication method surviving JPEG lossy compression", Proc. SPIE 3312, Storage and Retrieval for Image and Video Databases VI, (23 December 1997); https://doi.org/10.1117/12.298462

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