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Proceedings Paper

Spatially-varying blur kernel measurement based on discrete cosine transform single-pixel imaging
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Paper Abstract

The blur of the optical system can cause inevitable degradation of acquired images. In this paper we present a novel method to measure the spatially-varying blur of the camera lens. We obtained the Discrete Cosine Transform (DCT) coefficients of the blur kernels by applying DCT single-pixel imaging to all the camera pixels. The spatially-varying blur kernels are then reconstructed by applying inverse DCT to the acquired coefficients. Experimental results show that the proposed method can acquire a more accurate blur kernel compared to the traditional Gaussian kernel.

Paper Details

Date Published: 21 June 2019
PDF: 6 pages
Proc. SPIE 11062, Digital Optical Technologies 2019, 110621D (21 June 2019); doi: 10.1117/12.2525651
Show Author Affiliations
Hongzhi Jiang, Beihang Univ. (China)
Yu Wang, Beihang Univ. (China)
Huijie Zhao, Beihang Univ. (China)
Xudong Li, Beihang Univ. (China)
Yang Xu, Beihang Univ. (China)
Yuxi Li, Beihang Univ. (China)
Yunfan Wang, Beihang Univ. (China)

Published in SPIE Proceedings Vol. 11062:
Digital Optical Technologies 2019
Bernard C. Kress; Peter Schelkens, Editor(s)

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