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A Color Image Encryption Algorithm Based on Complementary Map and Iterative Convolutional Code

Yanlu Xie,Shihua Zhou,Hui Lv, Bin Wang,Chao Che, Qiang Zhang

ICMLSC '24 Proceedings of the 2024 8th International Conference on Machine Learning and Soft Computing(2024)

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摘要
Encryption is a valid means to safeguard the safety of images, and for color images, encryption should be performed considering the intrinsic correlation between R, G, and B components. In this paper, we propose an image encryption algorithm based on a complementary map and an iterative convolutional code. Firstly, the plain image is input into the convolutional encoders for iteration to generate the correctional secret key. Secondly, we design a new complementary map. From the test data, the new chaotic map has passed the NIST testing, exhibits a good chaotic characteristic, and has a wider range of chaotic parameters. Thirdly, global scrambling is performed on the color image to disrupt the distribution between R, G, and B. Then, a row-layer and a column-layer are randomly selected to form a set of elements to be encrypted. Finally, performing global diffusion on the image further increases the safety of our scheme. Experimental results show that our algorithm has a preferable encryption effect and elevated safety.
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