Image compression and encryption transmission method based on combination of svd and cbc modes

Abstract

The invention discloses an image compression and encryption transmission method based on the combination of SVD and CBC modes. SVD can retain more than 90% of image data information, but the data transmission volume becomes a fraction of the original data. The more important point is that it simultaneously The amount of noise in the picture data is reduced, so that the transmitted picture data has class symmetry, which greatly reduces the execution time of the algorithm when using CBC to block the encrypted picture data, effectively utilizes the transmission bandwidth, and saves time when decrypting on the server side. It saves a lot of time for the analysis of the anti-cut loss algorithm. The method is unique and the design is ingenious, which significantly improves the performance of various encrypted transmission applications under the C‑S architecture, especially in the fields of Internet of Things and artificial intelligence such as image recognition analysis. application prospects.

Description

technical field [0001] The invention relates to the technical field of digital image transmission and processing, in particular to an image compression and encryption transmission method based on the combination of SVD and CBC modes. Background technique [0002] In the process of network data transmission, in many cases, a small piece of data carries most of the information in the data set, and other information is either noise or irrelevant information. In linear algebra, matrix decomposition can be related to The original matrix is ​​represented in a new tractable form, which is a product of two or more matrices, similar to factoring in algebra. Different matrix factorization techniques have different properties, some of which are more suitable for a certain application. [0003] Through the processing of data by SVD (singular value decomposition), we can use a much smaller data set to represent the original data set, which actually removes noise and redundant informatio...

AI Technical Summary

Problems solved by technology

However, once this algorithm is disturbed by slight noise, the image of the cut part cannot be restored. When the hidden block corresponding to the important information of the cut block is also cut, the block will also be unable to restore, which will affect the digital image. accuracy of data transmission;

[0006] (2), an image encryption algorithm based on the image bit plane, and an anti-shear recovery algorithm is given at the same time, but the recovery of the clipped pixel depends on the recovery value of the 8 bit planes of the pixel, from the low bit plane to the high bit plane The inaccuracy of the pixel values ​​affects the inaccuracy of the pixel values ​​in exponential proportion, resulting in unsatisfactory quality of the recovered image

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