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

Hongzhi Jiang; Yu Wang; Huijie Zhao; Xudong Li; Yang Xu; Yuxi Li; Yunfan Wang

doi:10.1117/12.2525651

21 June 2019 Spatially-varying blur kernel measurement based on discrete cosine transform single-pixel imaging

Hongzhi Jiang, Yu Wang, Huijie Zhao, Xudong Li, Yang Xu, Yuxi Li, Yunfan Wang

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

Citation Download Citation

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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