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.

Date Published: 21 June 2019
PDF: 6 pages
Proc. SPIE 11062, Digital Optical Technologies 2019, 110621D (21 June 2019); doi: 10.1117/12.2525651

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