A Study on Semi-Fragile Watermarking for Robust Authentication on Image Compression 


Vol. 31,  No. 12, pp. 1165-1172, Dec.  2006


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  Abstract

The rapid progress of the software has enabled individuals to copy and remark digital contents, which was only done by professionals. As a solution for the problems, contents producer needs to have certification and inspection of its contents and hold the proprietary right. A fragile watermarking method is able to detect the distortion and damage of watermarked image, but the watermark is also fragile on standardized image compression. That is the problem of fragile watermarking technique. We propose semi-fragile watermarking technique that is robust in the image processing such as JPEG compression used on computer, but it is fragile on the addition of noise and other attacks. In the proposed method, we can generate the watermarks of an image from the relationship between two block coefficients, also the generated watermark is inserted into insensible part of HVS(Human Visual System) after processing DCT(Discrete Cosine Transform) and using quantization. As a result, on the spatial domain, high detection of distortion has been possible even in slight changes, and could detect the corrupted blocks on image. Therefore, it is simple to judge the pixels at which some location has been changed in the space.

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  Cite this article

[IEEE Style]

S. Ahn, K. Lee, H. Park, H. Ko, "A Study on Semi-Fragile Watermarking for Robust Authentication on Image Compression," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 12, pp. 1165-1172, 2006. DOI: .

[ACM Style]

Sung-cheol Ahn, Kyoung-hak Lee, Hwa-bum Park, and Hyung-hwa Ko. 2006. A Study on Semi-Fragile Watermarking for Robust Authentication on Image Compression. The Journal of Korean Institute of Communications and Information Sciences, 31, 12, (2006), 1165-1172. DOI: .

[KICS Style]

Sung-cheol Ahn, Kyoung-hak Lee, Hwa-bum Park, Hyung-hwa Ko, "A Study on Semi-Fragile Watermarking for Robust Authentication on Image Compression," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 12, pp. 1165-1172, 12. 2006.