Fractal information hiding/recovering method and system based on local microdomain variable precision

Abstract

The invention provides a fractal information hiding / recovering method and system based on local microdomain variable precision. The method comprises the following steps: generating an original fractal image which does not contain secret information through a preset key during hiding, and randomly selecting a plurality of points from the local microdomain of each coordinate point of the original fractal image as random disturbance values; and generating disturbance points for the coordinates added with disturbance according to the same iteration rule as the original coordinates, calculating difference values between the disturbance points and original points, screening points with the maximum positive and negative difference values, generating secret embedding positions according to the difference values from large to small, and embedding secret information at the secret embedding positions. During extraction, an original fractal image is generated according to the same mode as the secret embedding process, the secret embedding position is screened, and the original image and the secret-containing image are compared at the secret embedding position to extract secret information. The statistical anomaly between the original image and the secret-containing image is avoided, the precision and the visual quality of the fractal image are improved, the key space is expanded, the method completely depends on the key, and the method has good attack resistance and high safety.

Description

technical field [0001] The invention belongs to the field of information security and relates to an information hiding method, in particular to a fractal information hiding / restoring method and system based on local micro-field variable precision. Background technique [0002] Traditional information hiding technology, such as digital image steganography that focuses on image embedding, for example: Zhang Yang, 2018 (Zhang Yang, Shao Liping, Ren Pingan. Free basis vector EMD(n,m) model and its application in image steganography Application of [J]. Journal of Computer-Aided Design and Graphics, 2018, 30(8):1490-1504.), Tsai C S, 2017 (Tsai C S, Wu H C, Lee C C, etal. ASteganographic Method by Pixel- Value Different and ExploitingModification Direction[J].Journal of Computers,2017,28(1):13-29.), etc., using partial shadow images to reconstruct digital images for secret information, for example: Liu Y,2019(Liu Y,Yang C,Wu C,etal.Threshold changeable secret image sharing scheme...

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the shortcomings of the prior art, the present invention provides a fractal information hiding / restoring method and system based on local micro-field variable precision, aiming to solve the problem of embedding and non-embedding in the fractal-based carrierless information hiding method. Statistical anomalies in dense images may expose technical problems such as embedding positions and low visual quality of images

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