An image scrambling method based on Weierstrass function

Abstract

The invention relates to an image scrambling method based on the Weierstrass function and belongs to the field of digital image processing. An image forward scrambling process comprises the steps that firstly, eight bit planes of an IMAGE to be scrambled are exchanged according to a certain mode, the gray level values of pixels of the IMAGE are changed, and an Image is obtained; the Image is converted into a one-dimensional structure fig, the variable values and the parameter values of the Weierstrass function are set according to the length of the one-dimensional structure fig, the function values y of the Weierstrass function are obtained according to a formula, the function values y of the Weierstrass function are then sorted in an ascending mode, position adjustment is carried out on the fig sequence according to the sorting result, the fig can be scrambled in an h sequence in this way, dimension upgrading operation is finally carried out on the h sequence, the h sequence is converted into the size identical with that of the IMAGE to be scrambled, and thus a scrambled image FIG can be obtained. According to the image scrambling method based on the Weierstrass function, scrambling is relatively stable, the scrambling rate is relatively high, the scrambling is strong in generality and good in safety, images restored from the scrambling are lossless, and certain anti-attack capability is achieved.

Description

technical field [0001] The invention relates to an image scrambling method based on Weierstrass function, is an information hiding preprocessing method and an image encryption means, and belongs to the field of digital image processing. Background technique [0002] In recent years, digital images have been booming due to their inherent convenience in transmission and storage. At the same time, due to the ease of copying, processing and dissemination of digital images, they have also brought great business opportunities and benefits to many industries. However, in the transmitted digital image data, many of them are required to be kept confidential. No matter the law requires encryption or personal privacy cannot be violated, the security of digital images has attracted more and more attention from the society. The technology of digital image scrambling emerges at the historic moment under this demand, has been researched and developed rapidly, and has been applied to practi...

AI Technical Summary

Problems solved by technology

There are many existing and widely used scrambling methods, such as Arnold transformation, Hilbert method, knight tour transformation, cellular automaton method, magic square transformation, affine transformation, and game of life transformation, etc., but these methods have their own advantages and disadvantages , the application is to be selected according to the actual environment, and some methods take more time to scramble, and the efficiency is low; some methods have restrictions on the size of the image, and the versatility is not good; The method is less secure and does not meet the confidentiality requirements

[0003] Existing image scrambling methods emerge in endlessly, but there are many problems, especially the security issues of typical periodic recovery should be paid attention to, so it is quite challenging to study a simple and safe scrambling method

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