Abstract
The algorithm of fingerprint constructing for still images based on weighted image structure model is proposed. The error correcting codes that are perfect in weighted Hamming metric are used as a base for fingerprint constructing.
Highlights
The structure of the blocks a should be weighted because the error corrected codes that are concerted with the weighted Hamming metric are used to construct fingerprint
We describe here the simplest version of the fingerprint calculations algorithm for static image that contains different significance zones that is based on the family of Goppa codes perfect in the weighted Hamming metric
A new method of fingerprint construction that uses the features of the original image structure associated with the different degree of its sensitivity to the corruptions in different zones of the container is proposed
Summary
In the DWM methods the additional information about author (watermark) is embedded into initial data (for example image) to protect it. This information should be resistant against wide class of attack (filtering, compression, etc.) on the watermarked image as long as the level of visual quality is higher than predefined level. Fingerprinting method should provide stable fingerprint forming process for different kind of image processing (filtering, compression, etc.) Main differences between these copy right protection methods are: Some part of the initial object is changed while watermark embedding process (for example LSB method). The combination of these two types of author rights protection methods is proposed in this paper. The “nearest” means a code that have codeword a on the minimal distance in weighted Hamming metric from the vector b
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