Compressive sensing-based adaptive video information hiding method

Abstract

The invention discloses a compressive sensing-based adaptive video information hiding method, which is characterized by comprising the following steps of: a, framing a video file by using shot as a unit; b, taking the first frame of each shot as a key frame; c, establishing an image texture classification model to obtain a texture classification model mark of each key frame; d, determining a texture category of each key frame and determining whether the key frame is a texture region, or a smooth region or between the texture region and the smooth region; e, selecting an algorithm and determining insert depth; f, inserting secret information, i.e., inserting the secret information in a coefficient matrix; and g, synthesizing a video file. According to the video information hiding method, the secret information can be adaptively inserted under the condition that the entire video file is not required to be decompressed, so that the ornamental value of the video is not affected, and the method has the advantages of small amount of calculation, high information steganography efficiency, small influence on the video and good secret information safety. The method can be widely applied to various fields such as copyright authentication, pirate tracking and secure communication.

Description

technical field [0001] The present invention relates to an adaptive video information hiding method based on compressed sensing, and more specifically, to a method for embedding the first frame of each group of shots as an embedded frame, and adaptively selecting a hiding algorithm according to the texture classification of the embedded frame Adaptive Video Information Hiding Method Based on Compressive Sensing. Background technique [0002] Information hiding can be divided into digital watermarking technology and steganography from the function. Digital watermarking technology is widely used in commercial fields, such as multimedia copyright protection, multimedia integrity authentication, multimedia anti-copy control, multimedia access control, and multimedia piracy tracking. Steganography conceals the existence of secret information and can effectively realize secret communication, especially in military and other fields related to national security, which has broad app...

AI Technical Summary

Problems solved by technology

[0003] There are two defects in the traditional encoding and decoding methods: First, in terms of data acquisition and processing, Nyquist (Nyquist) sampling makes the hardware cost expensive, the acquired information redundancy is too large, and the efficiency of effective information extraction is low. In some cases, the Nyquist sampling of the signal cannot even be realized; secondly, in terms of data storage and transmission, the small coefficients obtained by a large number of transformation calculations in the compression coding process are discarded, resulting in a waste of data calculation and memory resources

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