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21 June 2019 Spatially-varying blur kernel measurement based on discrete cosine transform single-pixel imaging
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Proceedings Volume 11062, Digital Optical Technologies 2019; 110621D (2019) https://doi.org/10.1117/12.2525651
Event: SPIE Digital Optical Technologies, 2019, Munich, Germany
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.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongzhi Jiang, Yu Wang, Huijie Zhao, Xudong Li, Yang Xu, Yuxi Li, and Yunfan Wang "Spatially-varying blur kernel measurement based on discrete cosine transform single-pixel imaging", Proc. SPIE 11062, Digital Optical Technologies 2019, 110621D (21 June 2019); https://doi.org/10.1117/12.2525651
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