Complete blind detection robust quantization watermarking method

Abstract

The invention provides a complete blind detection robust quantization watermarking method. The present robust quantization watermarking method is not capable of realizing complete blind detection. To solve the problem, the invention provides a complete blind detection robust quantization watermarking method introduced into self-embedding thought. The method comprises the following steps of: performing discrete wavelet transform to a primary image at an embedding end, dividing a wavelet low-frequency sub-belt into sub-blocks which are not overlapped with each other, performing discrete cosine transform to each sub-block, generating a characteristic watermark by judging highest bit number parity of a direct current coefficient of each sub-block, then embedding the characteristic watermark into each sub-block of the wavelet detail sub-belt by using quantization regulation, and finally obtaining images containing the watermark by performing inverted discrete wavelet transform. Characteristic watermark extraction at a detection end is similar to characteristic watermark generation at the embedding end; and the watermark is identified for realizing blind detection. By the method of the invention, the complete blind detection is achieved by combining the self-embedded characteristic watermark and the blind extraction test watermark. The method has strong robustness in noise adding resistance, cutting, re-sampling, smooth and geometry attacks such as randomly canceling lines, randomly canceling rows and shifting lines rightwards.

Description

technical field [0001] The invention relates to the fields of image processing and information security. The invention designs a completely blind detection robust quantization watermarking method, improves the practicability of the existing robust quantization watermarking method, and more effectively protects the copyright of digital images. Background technique [0002] According to whether the detection end needs to rely on the original carrier, digital watermarking technology is divided into blind watermarking technology and non-blind watermarking technology. The non-blind watermarking technology often needs to use the relevant information of the original carrier for watermark detection; the blind watermarking technology does not need any information of the original carrier, so it is more practical. [0003] Robust digital watermarking technology usually authenticates copyright by calculating the correlation between the original watermark and the extracted watermark at ...

AI Technical Summary

Problems solved by technology

Then, this will bring two problems: (1) The embedding end transmits the original watermark or its related information to the detection end (or third-party notary center) for storage, which requires certain transmission and storage costs

If the watermark data is massive, then real-time detection will also be a big problem

(2) It is difficult to completely prevent passive attacks on the Internet during transmission

However, since the detection end often needs to calculate the correlation between the original watermark and the extracted watermark, the current robust quantitative watermarking method cannot achieve completely blind detection

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