High-capacity binary image information hiding method

Abstract

The invention discloses a high-capacity binary image information hiding method. In a secret information embedding part, a logistic one-dimensional chaotic system is firstly used for generating an aperiodic, non-convergent and irrelevant chaotic sequence, and the to-be-embedded information is subjected to scrambling preprocessing. After that, a scrambling secret key is stored. A secret-carrying image is segmented, and then reversible pixel blocks which conform to the visual characteristics of human eyes are determined by calculating the connectivity values of image areas before and after the pixel blocks are turned over. After that, the reversible pixel blocks are modified, and a weighted total value of non-critical pixels is adjusted by turning over the non-critical pixels. As a result, the information embedding is realized. Finally, the reversible pixel blocks are sequentially processed to complete the embedding process. In a secret information extraction part, the auxiliary information is not needed, and the secret information is extracted through the statistics of the non-critical pixel values of the reversible pixel blocks. In this way, a chaotic sequence is obtained through asecret key. The real secret information is obtained through calculation. According to the method, on the basis of guaranteeing the high invisibility, the higher embedding capacity and the better safety are realized.

Description

technical field [0001] The invention belongs to the interdisciplinary fields of information security, cryptography and digital image processing, and the main content is a large-capacity, high-concealment and high-security information hiding method for binary images. Background technique [0002] With the rapid development of the Internet and multimedia technology, the global information digitization process is accelerating, and the digital hiding technology based on digital images has become a research focus in the field of information security. Nowadays, many important documents are often scanned into digital documents and stored in the form of binary images and transmitted on the network, such as handwritten signatures, various certificates, contract bills, confidential documents, etc. On the other hand, various important historical Documents and lonely manuscripts are also stored in the form of binary images. Compared with color images and grayscale images, these binary ...

AI Technical Summary

Problems solved by technology

But the calculation process is complicated and the capacity is limited

Reversible binary image data hiding by histogram modification published by Xu et al. on the Journal of Computer Applications regards the change of run length as histogram adjustment, thus combining the two technologies of run length encoding and histogram adjustment to realize information hiding, embedding the secret image Higher distortion, poorer invisibility

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