Obtuse angle prediction method and system based on reversible information hiding

Abstract

The present invention belongs to the data hiding technology field, and provides a method and system of obtuse angle prediction based on reversible information hiding. The method comprises: obtaining a carrier image and auxiliary information, wherein the auxiliary information comprises watermark information and a position map, performing preprocessing, determining the size of the scanning block and the image roughness, performing predication of the target pixel according to the maximum predicated angle, the reference pixel quantity and the location of the target pixel, obtaining the prediction error of the target pixel, embedding the watermark information into the carrier image according to the predication error of the target pixel and the storage information of the auxiliary information, forming a secret carrying image, identifying the auxiliary information in the secret carrying image, extracting the watermark information from the secret carrying image, restoring the pixel having correcting the pixel gray value and restoring the carrier image. The method and system of obtuse angle prediction based on reversible information hiding can improve the embedding capacity and the peak signal to noise ratio of the reversible information hiding technology and enhance the predication performance.

Description

technical field [0001] The invention relates to the technical field of data hiding, in particular to an obtuse angle prediction method and system based on reversible information hiding. Background technique [0002] With the development of computer and network technology, more and more image information is transmitted in the network, which is convenient for users to use in daily life. However, most techniques based on reversible information hiding cannot obtain good embedding capacity and embedding quality, especially for carrier images with medium and high loads and relatively rough images. The peak signal-to-noise ratio of existing hiding techniques is low and the prediction performance is poor Difference. [0003] How to improve the embedding capacity and peak signal-to-noise ratio of the reversible information hiding technology and enhance the prediction performance is an urgent problem to be solved by those skilled in the art. Contents of the invention [0004] Aimi...

AI Technical Summary

Problems solved by technology

However, most techniques based on reversible information hiding cannot obtain good embedding capacity and embedding quality, especially for carrier images with medium and high loads and relatively rough images. The peak signal-to-noise ratio of existing hiding techniques is low and the prediction performance is poor Difference

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