A color image encryption scheme based on block compressive sensing and chaotic systems

Junfeng Tian; Keke Chen

doi:10.1117/12.2692425

23 August 2023 A color image encryption scheme based on block compressive sensing and chaotic systems

Junfeng Tian, Keke Chen

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127840S (2023) https://doi.org/10.1117/12.2692425
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

The traditional compressive sensing theory does not take full advantage of the differences in image block information features for sampling, and the measurement matrix does not adequately measure the image based on the image information features. To solve these problems, we design a color image encryption scheme based on block compressive perception and chaotic systems. First, the color image is divided into three channels of RGB and into 8*8 blocks respectively. Then, a zigzag transform is applied to each block so that each pixel value is evenly distributed. Each block is sparsified by the discrete cosine transform, and the measurement matrix generated by the Chen chaotic system is sampled to compress the image blocks to CR times the original block size according to different compression ratios (CR). The resulting chunked compressed samples are further distributed across the pixel values of the image using a cross-channel confusion dislocation method. Finally, the size of the pixel values is changed by a dissimilarity operation. The experimental results show that the scheme can balance the security of image information transmission and the integrity of reception, and has good resistance to various attacks.

Citation Download Citation

Junfeng Tian and Keke Chen "A color image encryption scheme based on block compressive sensing and chaotic systems", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127840S (23 August 2023); https://doi.org/10.1117/12.2692425

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KEYWORDS

Image encryption

Image compression

Complex systems

Compressed sensing

Matrices

Histograms

Image quality

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