Histogram shifting-based robust reversible image watermarking method and application

Abstract

The invention belongs to the technical field of digital watermarking, and discloses a histogram shifting-based robust reversible image watermarking method and an application. The method comprises thesteps of dividing an original image into blocks; dividing the divided blocks into four groups according to a characteristic that pixel values are close to 0 or 255, performing marking, and performingembedding; multiplying the blocks by a mask M and performing summary calculation to obtain alpha values; generating a histogram according to the alpha values obtained by all the blocks; and accordingto an alpha value range and embedded data, moving the pixel values. According to the method, all the shifted blocks in the histogram are subjected to data embedding, so that the purposes of better robustness, improved compression resistance and the like under the condition of encountering a non-malicious attack are achieved; under the condition of the same embedding capacity, different compressionquality factors are adopted, so that the bit error rate (BER) is lower; and the dislocation problem possibly caused by no embedding of watermark shifting blocks is avoided, so that larger embedding capacity is obtained in a histogram shifting process, and the BER of watermark extraction is lower.

Description

technical field [0001] The invention belongs to the technical field of digital watermarking, in particular to a robust reversible image watermarking method based on histogram shift and its application. Background technique [0002] In recent years, in some applications such as law enforcement agencies, military affairs, and medical treatment, it is required that after an image is embedded with hidden information, it is not only required to completely extract the watermark and restore the original image without being attacked, but also requires the image to It can also correctly extract the hidden information and restore the original image even in the case of attack. Existing technologies have achieved the requirement of reversibility, and the correct extraction of hidden information cannot be guaranteed. After encountering some non-malicious attacks, the image cannot correctly extract hidden information according to the original algorithm. For example, JPEG compression is ...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problem existing in the existing technology is: when the current reversible digital watermark embedding technology based on histogram shift resists non-malicious attacks, the extracted hidden information is greatly distorted due to the problem of shift block misalignment.

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