Iteration self-adapting quantizing index modulation watermark method based on vision model

Abstract

The invention provides an iterative self-adapting quantitative index modulation watermarking method basing on a visual model, which includes the following steps: (1) to a specific value to be quantified, the quantization step is determined through a Watson visual model and varies with the varieties of the value to be quantified; (2) the quantization step is adopted, and a quantitative index modulation algorithm is used for embedding a watermark; (3) an iterative embedding process is added in the watermark embedding process, the watermark is detected after every bit is embedded. If the embedding is detected to be failed, the bit is embedded again. And if the embedding is detected to be successful, the embedding of a next bit is started. The iterative self-adapting quantitative index modulation watermarking method basing on a visual model determines the quantization step through the Watson visual model, eliminates the watermark extraction error of the watermark embedding detection caused by the inconsistency of the quantization step, which is provided with better robustness, can enhance the strength of the watermark under the condition of guaranteeing the invisibility of the watermark and guarantees the accurate detection of the watermark through the iterative embedding method. The watermark embedding process is shown as Figure 1.

Description

technical field [0001] The invention relates to a digital watermarking method based on a visual model, and belongs to the technical field of video and multimedia signal processing. Background technique [0002] With the rapid development of multimedia technology and network technology, multimedia products can be produced, obtained, copied and disseminated more and more easily, which brings great convenience to people's work, study and life, but also appears A lot of unauthorized piracy and copying have caused copyright infringement, which makes the copyright issue of multimedia products an urgent problem to be solved. Digital watermarking technology is proposed for this problem. It embeds information that can indicate copyright into multimedia data, and achieves copyright protection by extracting and confirming the information at the receiver. [0003] Now commonly used watermarking algorithms mainly include spread spectrum watermarking algorithm (SS) and quantization index...

AI Technical Summary

Problems solved by technology

However, this algorithm has a fatal weakness: since the quantization step is a function of the coefficients to be quantized, in blind detection, the quantization step is calculated by the changed quantized coefficients, which causes the quantization step used in embedding The length is inconsistent with the quantization step during detection, so that the algorithm cannot completely and reliably extract the watermark even in the absence of interference

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