Compressed sensing imaging based on mixed blocking method

Weiyi Cao; Shuang Xu; Qing Tang; Zhiqiang Chen

doi:10.1117/12.2689138

31 July 2023 Compressed sensing imaging based on mixed blocking method

Weiyi Cao, Shuang Xu, Qing Tang, Zhiqiang Chen

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127471K (2023) https://doi.org/10.1117/12.2689138
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

The theory of compressed sensing shows that the original signal can be recovered by low sampling rate, so it is often used in the field of optical imaging. To solve the problem of excessive amount of image data and large computational burden, a new method based on column blocking and mixed blocking method is proposed in this paper. Simulation experiments and comparative analysis show that the proposed column blocking method has improved the quality of image reconstruction to a certain extent, while the mixed blocking method has significantly improved the speed and quality of image reconstruction.

Citation Download Citation

Weiyi Cao, Shuang Xu, Qing Tang, and Zhiqiang Chen "Compressed sensing imaging based on mixed blocking method", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127471K (31 July 2023); https://doi.org/10.1117/12.2689138

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