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Volume 45 Issue 12
Dec.  2023
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ZHOU Xuefang, SUN Le, CHEN Weihao, ZHENG Ning. An Encryption Algorithm Based on Optical Chaos and Image Quotient and Residue Preprocessing[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4519-4529. doi: 10.11999/JEIT221332
Citation: ZHOU Xuefang, SUN Le, CHEN Weihao, ZHENG Ning. An Encryption Algorithm Based on Optical Chaos and Image Quotient and Residue Preprocessing[J]. Journal of Electronics & Information Technology, 2023, 45(12): 4519-4529. doi: 10.11999/JEIT221332

An Encryption Algorithm Based on Optical Chaos and Image Quotient and Residue Preprocessing

doi: 10.11999/JEIT221332
Funds:  The National Natural Science Foundation of China (61705055), The Key Research and Development Program of Zhejiang Province (2019C01G1121168), The Key Laboratory Foundation of Data Storage and Transmission Technology of Zhejiang Province
  • Received Date: 2022-10-24
  • Rev Recd Date: 2023-02-20
  • Available Online: 2023-03-14
  • Publish Date: 2023-12-26
  • With the development of modern science and technology, people have higher and higher requirements for the security of image information transmission, and the image encryption scheme based on chaos theory has attracted more and more attention. In this paper, a novel optical chaotic image encryption transmission system and a “self-encryption” algorithm for images are proposed and demonstrated. The Master Laser (ML) of the system is injected into the other three Semiconductor Lasers (SLs) respectively after full-optical feedback, then three synchronous chaotic sequences are generated. Before encrypting the image, the plaintext image is preprocessed, and two images are obtained, one is the image after the quotient of the plain image, the other is the image after the redundancy of the plain image. The chaotic sequence of the sender is used to encrypt, steganograph and spread the two preprocessed images for many times, and then the ciphertext image is obtained. The experimental results show that the pixel values of the ciphertext images obtained in this paper are evenly distributed, the correlation between each pixel is broken, and both NPCR and UACI are close to the ideal value. The image preprocessing method proposed in this paper can effectively make the image pixel value more concentrated, more uniform distribution. Combining with the optical chaos to encrypt the image, it greatly improves the security of the transmitted image.
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