Single-pixel multispectral imaging based on macropixel segmentation method

Qin Xie; Chenning Tao; Xinyu Liu; Yan Sun; Chang Wang; Jinlei Zhang; Zhenrong Zheng

doi:10.1117/12.2601360

9 October 2021 Single-pixel multispectral imaging based on macropixel segmentation method

Qin Xie, Chenning Tao, Xinyu Liu, Yan Sun, Chang Wang, Jinlei Zhang, Zhenrong Zheng

Proceedings Volume 11897, Optoelectronic Imaging and Multimedia Technology VIII; 1189708 (2021) https://doi.org/10.1117/12.2601360
Event: SPIE/COS Photonics Asia, 2021, Nantong, JS, China

Abstract

Spectral imaging can capture both spatial and spectral data of a scene, providing an efficient technique for analysis and identification. To improve the efficiency of data acquisition, compressive sensing (CS) methods have been introduced into spectral imaging systems. In this work, we propose a novel macropixel segmentation method to realize effective and non-mechanical single-pixel multispectral imaging. A series of macropixel-based patterns are designed to modulate data cube of target object. Spatial light modulator (SLM) and multispectral filter array are utilized to generate such patterns. CS algorithm is used to recover data cube from 1-D signal acquired by a single-pixel detector. Alignment of binary patterns with the subareas of macropixel filter array is conducted in the experimental set-up. Without mechanical or dispersive structure, the proposed method holds great potential in miniaturization and integration of spectral imaging devices.

Conference Presentation

Citation Download Citation

Qin Xie, Chenning Tao, Xinyu Liu, Yan Sun, Chang Wang, Jinlei Zhang, and Zhenrong Zheng "Single-pixel multispectral imaging based on macropixel segmentation method", Proc. SPIE 11897, Optoelectronic Imaging and Multimedia Technology VIII, 1189708 (9 October 2021); https://doi.org/10.1117/12.2601360

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