Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/89961
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Title: Direct single-step measurement of hadamard spectrum using single-pixel optical detection
Authors: Xiao, Y 
Zhou, L 
Chen, W 
Issue Date: 1-Jun-2019
Source: IEEE photonics technology letters, 1 June 2019, v. 31, no. 11, 8685198, p. 845-848
Abstract: Spectrum can be acquired by Hadamard transform, and the spectrum energy concentrates on the upper-left corner according to the chosen Walsh-ordering Hadamard bases. Hence, measurement of the main spectrum coefficients can facilitate the reconstruction of objects. In this letter, we propose a method for directly calculating each Hadamard spectrum coefficient using only single-step measurement in single-pixel imaging (SPI) for high-contrast object reconstruction. The proposed method can significantly reduce the number of measurements in the SPI. In addition, an effective noise suppression strategy is further developed to recover high-contrast objects. The proposed method in the SPI is also tested in scattering environment. Experimental work is conducted to verify the feasibility and effectiveness of the proposed method.
Keywords: Hadamard transform
Object reconstruction
Single-pixel imaging
Single-step measurement
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE photonics technology letters 
ISSN: 1041-1135
EISSN: 1941-0174
DOI: 10.1109/LPT.2019.2910172
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
The following publication Y. Xiao, L. Zhou and W. Chen, "Direct Single-Step Measurement of Hadamard Spectrum Using Single-Pixel Optical Detection," in IEEE Photonics Technology Letters, vol. 31, no. 11, pp. 845-848, 1 June1, 2019 is available at https://doi.org/10.1109/LPT.2019.2910172.
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