Secret sharing method and system based on visual effect

Abstract

The invention provides a secret sharing method and system based on a visual effect. The secret sharing method comprises the following steps: splitting an original image into a plurality of secret images; mapping each secret image into a secret block; generating a plurality of shared image blocks one by one based on the size of the secret block; moving the shared image blocks in a cyclic stacking mode to achieve encryption of the shared image blocks; superposing all the shared image blocks in sequence during decryption to obtain a decrypted image with the same quality as the original image, wherein the secret block is provided with a plurality of pixels. The size of the shared image is the same as that of the secret image by encrypting the image block one by one, so that pixel expansion iseliminated, the image recovery performance is improved, and almost lossless visual encryption is realized; by processing the mapping relation of the pixel blocks before and after encryption, higher contrast is obtained, meanwhile, electronic equipment does not need to be used in the traditional encryption and decryption process, and the shared image blocks can be directly printed on paper to be decrypted by vertically arranging multiple pieces of paper.

Description

technical field [0001] The invention relates to the technical field of secret image sharing, in particular to a method and system for secret sharing based on visual effects. Background technique [0002] With the development of the Internet and smart devices, there is an urgent need to access information anytime and anywhere. Public networks usually have an open connection and untrusted communication channels. Traditional cryptography can ensure the security and privacy of information. However, storing, managing, and distributing keys is a lot of work. [0003] In 1994, Naor and Shamir[1] proposed a visual cryptography technology, Visual Cryptography Scheme (VCS), which aims to encrypt secret code information into multiple shares and transmit it to users through untrusted communication channels. While the human eye can easily reveal secret images or information by stacking a sufficient number of shares. The threshold scheme of Naor and Shamir divides the secret black-and...

AI Technical Summary

Problems solved by technology

We can also use probabilistic methods to keep the image size constant, but these schemes also reduce the contrast with existing VCS, thus resulting in a lower visual quality of the restored image

The new model proposed by Shamir [1] improves the contrast with a multi-layer cover base, but the problem of pixel dilation still exists

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