@inproceedings{48b8f101ee764d83906bb5dc4aa5c5ea,
title = "Point spread function measurement for projector based on Fourier single-pixel imaging",
abstract = "Point spread function (PSF) of projector plays an important role in coaxial projection-imaging profilometry and binary defocusing fringe projection profilometry. In the proposed method, the SPI (Single Pixel Imaging)-based PSF measurement method has been used to obtain the PSF of the projector point by point. We use the camera to capture the SPI patterns projected by the projector on a white plane. By considering each pixel of the camera as a single-pixel detector, we can apply SPI technology to the camera pixels and acquire the light transport coefficients between the object points on the white plane and image points of projector, which is the spatially varying blur. Owing to the characteristic of SPI, the proposed method could obtain the spatially varying blur of every pixel directly. The experiment also verified that the proposed method could provide a more accurate blur kernel than the traditional Gaussian blur kernel to fit the blur model of the camera lens.",
keywords = "Discrete cosine transform, Point Spread function, Single-pixel imaging",
author = "Ruotong Wu and Hongzhi Jiang and Huijie Zhao and Xudong Li and Qi Guo",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Applied Optical Metrology III 2019 ; Conference date: 13-08-2019 Through 15-08-2019",
year = "2019",
doi = "10.1117/12.2529200",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Erik Novak and Trolinger, \{James D.\}",
booktitle = "Applied Optical Metrology III",
address = "美国",
}