BP neural network digital image compression based image watermark embedding and extracting method

Abstract

The invention provides a BP neural network digital image compression based image watermark embedding and extracting method. The method includes: S1a, performing scrambling treatment on an original watermark image to acquire the scrambled watermark image; S2a, establishing a BP neural network and setting transfer function, training adjustment function, the number of training, neuron activation function thresholds, learning constant and compressibility factors of the BP neural network; S3a, dividing the scrambled watermark image into image embedding blocks, setting input and output expectations as carrier image blocks, and training the carrier image blocks through the BP neural network to acquire output O of a hidden layer; S4a, embedding watermarks in the output O of the hidden layer, and decompressing compressed images embedded with watermark image information to obtain carrier images embedded with the watermarks. The invention further provides a BP neural network digital image compression based image watermark extracting method.

Description

technical field [0001] The invention relates to a digital image watermark technology in the field of information security, in particular to an image watermark embedding and extraction method based on BP neural network digital image compression. Background technique [0002] As an effective supplement to traditional encryption methods, digital image watermarking uses data embedding methods to hide in digital image products to prove the creator's ownership of his works, and as a basis for identification and prosecution of illegal infringement. At the same time, through the detection of watermark And analysis to ensure the integrity and reliability of digital information, thus becoming an effective means of intellectual property protection and digital multimedia anti-counterfeiting, has aroused people's great attention in recent years, and has become a hot spot in international academic research. For image watermarking to play its due role, it must have two basic elements: robu...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a method for embedding and extracting image watermarks to solve the defects of conventional BP neural network watermarks. Through further expansion and improvement, it can also solve the poor imperceptibility and robustness of existing embeddings. Weak problems, as well as the problem of slow speed and low accuracy of training samples; the problem of complex training samples; the problem of small number of keys

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