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Sensors 2015, 15(1), 880-898; doi:10.3390/s150100880

Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor

Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 156-756, Korea
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Received: 10 October 2014 / Accepted: 23 December 2014 / Published: 6 January 2015
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [5490 KB, uploaded 6 January 2015]   |  

Abstract

This paper presents a fast adaptive image restoration method for removing spatially varying out-of-focus blur of a general imaging sensor. After estimating the parameters of space-variant point-spread-function (PSF) using the derivative in each uniformly blurred region, the proposed method performs spatially adaptive image restoration by selecting the optimal restoration filter according to the estimated blur parameters. Each restoration filter is implemented in the form of a combination of multiple FIR filters, which guarantees the fast image restoration without the need of iterative or recursive processing. Experimental results show that the proposed method outperforms existing space-invariant restoration methods in the sense of both objective and subjective performance measures. The proposed algorithm can be employed to a wide area of image restoration applications, such as mobile imaging devices, robot vision, and satellite image processing. View Full-Text
Keywords: image restoration; spatially varying blur; truncated constraint least-squares (TCLS) filter; point spread function estimation image restoration; spatially varying blur; truncated constraint least-squares (TCLS) filter; point spread function estimation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Cheong, H.; Chae, E.; Lee, E.; Jo, G.; Paik, J. Fast Image Restoration for Spatially Varying Defocus Blur of Imaging Sensor. Sensors 2015, 15, 880-898.

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