Orthogonal transform single-pixel imaging with fewer measurements

Rui Sun; Yi Ding; Jingjing Cheng; Xiaoqun Yuan

doi:10.1117/12.3034883

22 November 2024 Orthogonal transform single-pixel imaging with fewer measurements

Rui Sun, Yi Ding, Jingjing Cheng, Xiaoqun Yuan

Proceedings Volume 13238, Advanced Optical Imaging Technologies VII; 1323804 (2024) https://doi.org/10.1117/12.3034883
Event: SPIE/COS Photonics Asia, 2024, Nantong, Jiangsu, China

Abstract

Orthogonal transform based single-pixel imaging methods always improve the quality of recovered images, but they should take two-fold measurements of the illumination pattern the under full sampling. To decrease the number of measurements for time efficient imaging, we present a method that only uses the positive patterns to acquire measurement values and reconstruct images, the number of measurements can be reduced by 1/2. The robustness of the method is guaranteed by eliminating the random noise with the characteristics of orthogonal transform series. Simulation and experimental results based on discrete cosine transform single-pixel imaging, Hadamard transform single-pixel imaging and discrete W transform single-pixel imaging validate the effectiveness of the proposed method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Rui Sun, Yi Ding, Jingjing Cheng, and Xiaoqun Yuan "Orthogonal transform single-pixel imaging with fewer measurements", Proc. SPIE 13238, Advanced Optical Imaging Technologies VII, 1323804 (22 November 2024); https://doi.org/10.1117/12.3034883

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