Assessment of illumination conditions in a single-pixel imaging configuration

Florin Garoi; Cristian Udrea; Cristian Damian; Petre C. Logofătu; Daniela Colţuc

doi:10.1117/12.2243295

14 December 2016 Assessment of illumination conditions in a single-pixel imaging configuration

Florin Garoi, Cristian Udrea, Cristian Damian, Petre C. Logofătu, Daniela Colţuc

Proceedings Volume 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII; 1001011 (2016) https://doi.org/10.1117/12.2243295
Event: Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies 2016, 2016, Constanta, Romania

Abstract

Single-pixel imaging based on multiplexing is a promising technique, especially in applications where 2D detectors or raster scanning imaging are not readily applicable. With this method, Hadamard masks are projected on a spatial light modulator to encode an incident scene and a signal is recorded at the photodiode detector for each of these masks. Ultimately, the image is reconstructed on the computer by applying the inverse transform matrix. Thus, various algorithms were optimized and several spatial light modulators already characterized for such a task. This work analyses the imaging quality of such a single-pixel arrangement, when various illumination conditions are used. More precisely, the main comparison is made between coherent and incoherent ("white light") illumination and between two multiplexing methods, namely Hadamard and Scanning. The quality of the images is assessed by calculating their SNR, using two relations. The results show better images are obtained with "white light" illumination for the first method and coherent one for the second.

Citation Download Citation

Florin Garoi, Cristian Udrea, Cristian Damian, Petre C. Logofătu, and Daniela Colţuc "Assessment of illumination conditions in a single-pixel imaging configuration", Proc. SPIE 10010, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies VIII, 1001011 (14 December 2016); https://doi.org/10.1117/12.2243295

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KEYWORDS

Signal to noise ratio

Digital micromirror devices

Image quality

Reconstruction algorithms

Sensors

Image processing

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