Multi-image encryption capacity improving method based on QR codes

Abstract

The invention provides a multi-image encryption capacity improving method based on QR codes, and belongs to the field of optical multi-image encryption. In a traditional multi-image encryption method,decrypted images are seriously influenced by crosstalk noise of other images, and even if a QR code with error correction capacity is introduced as a data container, the number of encrypted images can only reach 6 at most. According to the invention, on the basis of a QR code-based multi-image encryption method, the decrypted QR code polluted by the crosstalk noise is enhanced by firstly, replacing the gray value of the whole module with the gray average value of each small module of the QR code, then solving the optimal segmentation threshold of the QR code at the moment, carrying out binarization processing, and finally, replacing or repairing an error part of a functional area in the QR code. The processed QR code can be easily identified by code scanning software, and under the condition that other conditions are not changed, the number of encrypted pictures capable of being accommodated is increased to 18, so that the encryption capacity is greatly improved.

Description

technical field [0001] The invention belongs to the field of optical multi-image encryption. In particular, it relates to a QR code-based multi-image encryption capacity improvement method. Background technique [0002] In recent decades, the use of optical technology to realize the encryption, storage and transmission of image information has become an important research topic. In 1995, Refregier and Javidi first proposed the classic dual random phase encoding (DRPE) structure, which is the most important free-space optical technology for image encryption, and has attracted close attention from scholars at home and abroad. With the deepening of the research, many improved schemes have appeared one after another, and have been extended to Fresnel domain, fractional Fourier domain and other optical transformation domains. However, these optical encryption methods belong to single-image encryption. In order to improve encryption efficiency and meet the characteristics of fas...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is based on the patent publication number CN 108108628 A "QR code-based double random phase multi-image parallel encryption noise-free recovery method", using a method to decrypt the QR code with crosstalk noise Perform threshold processing and replace the wrong functional area pattern of the QR code, which greatly improves the recognition rate of the QR code, increases the number of encrypted pictures that can be accommodated, and is more conducive to data transmission and practical applications

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