A zero-watermarking method for stereoscopic images against RST attacks based on ffst and hessenberg decomposition

Abstract

A zero-watermarking method for stereoscopic images against RST attacks based on FFST and Hessenberg decomposition. It includes two parts: zero watermark generation and zero watermark detection. The method utilizes the dual-view feature of the stereo image itself, in the low-frequency sub-bands after Fast Finite Shearlet Transform (FFST) of the left and right view images, and uses paired random image blocks Hessenberg decomposes the upper-left corner element of the respective coefficient sub-blocks. The magnitude relationship between the absolute values ​​is used to construct the authentication zero watermark of the stereo image. The method is simple, novel and robust. At the same time, the random sequence is generated by the fractional Arneodo chaotic system to realize the encryption of the original binary watermark image. Before the watermark extraction, the image matching method based on Fourier-Merlin transform is used to correct the geometric attack of the stereo image to be authenticated. The experimental results show that the method of the present invention has good robustness against various common image processing attacks such as adding noise, filtering, JPEG compression, shearing, and rotation, scaling, and translation (RST) attacks.

Description

technical field [0001] The invention belongs to the technical fields of information security and image processing, and in particular relates to a zero-watermarking method for stereoscopic images against RST attacks based on fast finite shearlet transform (FFST) and Hessenberg decomposition. [0002] technical background [0003] With the rapid development of Internet and multimedia technology, binocular stereoscopic image processing technology has been gradually applied to three-dimensional video conferencing, virtual reality, telemedicine and education, military and other aspects. The accompanying problem is that the copyright protection of stereoscopic images has become an urgent problem to be solved. As an information hiding technology, digital watermarking technology can provide solutions for copyright protection and content authentication of multimedia resource editions such as images, audios, and videos. As a special digital watermarking technology, zero watermarking d...

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Problems solved by technology

However, the stereoscopic image zero-watermarking methods described above are not robust and cannot resist geometric attacks such as rotation, scaling, and translation (RST)

Wang Chunpeng, Wang Xingyuan and others proposed a three-dimensional image zero-watermark algorithm based on ternary extreme harmonic-Fourier moments and chaotic mapping. Although it can resist a certain degree of geometric attacks, the construction and detection process of the authentication zero-watermark takes a relatively long time. time

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