Method for detecting quantitatively-embedded secret information for DWT domain fidelity compensation

Abstract

The invention provides a method for detecting quantitatively-embedded secret information for DWT domain fidelity compensation. The method mainly comprises the step of initial value setting of a quantifying step size delta, a compensating factor alpha and a DCT series t. According to the method, original voice frequencies are acquired through a network transmission channel, the voice frequency segmentation is conducted on the voice frequencies to be detected according to an L value, limited classic values are selected as the L value, and in the detecting process, all the limited values are sequentially traversed to conduct segmentation detection; DWT transmission is conducted on the segmented voice frequencies, a column diagram is made according to transformed voice frequency coefficients, a transversal line is set according to the values of the longitudinal coordinates in the column diagram, and the transversal line intersects with the column diagram to obtain n cutoff points; the maximum deviation values T between adjacent cutoff points are calculated, and whether the voice frequencies to be detected comprise the secret information or not is judged according to the T values. Through the method for detecting the quantitatively-embedded secret information for DWT domain fidelity compensation, blind detection can be conducted on the voice frequency to be detected by a steganography detection system, the parameter of the secret information in the embedding process does not need to be known in advance, and the detecting problem of the voice frequency comprising the secret information is effectively solved.

Description

technical field [0001] The invention relates to a special audio steganographic detection method, in particular to a steganographic method aiming at distortion compensation and quantization embedded secret information. Background technique [0002] With the development of computer network and multimedia technology, the production, processing and dissemination of digital media (digital images, audio, video, etc.) become more and more convenient, and the application of these media is growing exponentially. At the same time, a series of problems also followed. With the advent of the Internet age, the cost of dissemination of digital works has been greatly reduced and the speed has been greatly accelerated, but at the same time it has also led to problems such as copyright-free abuse and illegal dissemination. Therefore, there is an urgent need for a powerful tool for the protection of digital media transmission. With the change of the international situation, more and more att...

AI Technical Summary

Problems solved by technology

[0005] Distortion Compensation Quantization Index Modulation improves the traditional QIM steganography method, inherits the characteristics of the traditional QIM steganography method, further improves the confidentiality and robustness of the secret information in the network media transmission, and makes the secret carrier more difficult to destroy And detection, using the detection method for traditional QIM embedding has been unable to detect, it is urgent to study new detection methods

[0006] At present, the research on the traditional QIM detection method is relatively mature, but the research on the detection algorithm of distortion compensation quantization embedding is still in its infancy.

Images