Information hiding, embedding and extracting method based on two-dimensional histogram translation

Abstract

The invention provides an information hiding, embedding and extracting method based on two-dimensional histogram translation. The information hiding and embedding method comprises the following steps:selecting a 4*4 coefficient embedding block of secret information to be embedded from an embedding carrier; randomly selecting two coefficients Y1 and Y2 from the coefficients of the embedded block to form an embedded coefficient pair {Y1,Y2}; according to the embedding coefficient pair {Y1,Y2}, dividing the coefficient pairs into 19 sets which are not intersected with each other according to thevalue of the embedded coefficient pair {Y1,Y2}; respectively defining a two-dimensional histogram translation algorithm corresponding to each of the 19 sets, and embedding the secret information intothe 4*4 coefficient embedding block according to the secret information to be embedded and the histogram translation algorithm corresponding to the set to which the current embedding coefficient pair{Y1,Y2} belongs; performing information extraction by adopting an operation opposite to information hiding and embedding. The two-dimensional histogram translation method has the advantages of beinglarge in embedding capacity, small in embedding error, high in embedding efficiency, particularly suitable for high-resolution videos and the like.

Description

technical field [0001] The invention belongs to the technical field of information processing, and more specifically relates to an information hiding embedding and extraction method based on two-dimensional histogram translation. Background technique [0002] The two-dimensional histogram translation algorithm is an extremely efficient method in the field of video information hiding. It mainly uses widely distributed video information such as QDCT coefficients and motion vectors as carriers to complete the embedding and extraction of secret information. Furthermore, the two-dimensional histogram translation algorithm mainly uses the peak point of the QDCT coefficient or motion vector to embed the data, and completes the data embedding by adding or subtracting 1 to the value of the peak point, so the coefficient or motion vector at the peak point The number largely determines the embedding capacity performance of 2D histogram shifting. Because the video has more redundant sp...

AI Technical Summary

Problems solved by technology

This method has a large embedding capacity, but the embedding error caused by embedding secret information, that is, visual distortion is also relatively large, so it is not suitable for application scenarios with high visual quality requirements such as high-definition video and medical images.

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