Ms. LiPing Xin Profile

LiPing Xin

at North Univ for Ethics

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Proceedings Article | 3 December 2015 Paper

Self-recovery fragile watermarking algorithm based on SPHIT

Li Ping Xin

Proceedings Volume 9794, 97941Y (2015) https://doi.org/10.1117/12.2202936

KEYWORDS: Digital watermarking, Image restoration, Image compression, Signal to noise ratio, Image encryption, Image processing, Image quality, Visualization, Algorithms, Digital image processing

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A fragile watermark algorithm is proposed, based on SPIHT coding, which can recover the primary image itself. The novelty of the algorithm is that it can tamper location and Self-restoration. The recovery has been very good effect. The first, utilizing the zero-tree structure, the algorithm compresses and encodes the image itself, and then gained self correlative watermark data, so as to greatly reduce the quantity of embedding watermark. Then the watermark data is encoded by error correcting code, and the check bits and watermark bits are scrambled and embedded to enhance the recovery ability. At the same time, by embedding watermark into the latter two bit place of gray level image's bit-plane code, the image after embedded watermark can gain nicer visual effect. The experiment results show that the proposed algorithm may not only detect various processing such as noise adding, cropping, and filtering, but also recover tampered image and realize blind-detection. Peak signal-to-noise ratios of the watermark image were higher than other similar algorithm. The attack capability of the algorithm was enhanced.

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