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A Real Time Implementation of a Bayer Domain Image Deblurring Core for Optical Blur Compensation

In this letter, we present an implementation of deblurring hardware to mitigate blur incurred by optical aberrations in a real-time manner to increase resolution for mobile camera modules. As optical aberrations tend to be variant according to spatial location, algorithm should support spatially var...

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Bibliographic Details
Main Authors: Lee, Han-Sol, Heo, Eundoo, Lee, Wonseok, Ahn, Do-Chang, Cheon, Jeonghyeon, Kim, Kyungho, Lee, Kyunghwan, Lee, Jeongguk, Choi, Yunseok, Chang, Soonkeun
Format: Conference Proceeding
Language:English
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Summary:In this letter, we present an implementation of deblurring hardware to mitigate blur incurred by optical aberrations in a real-time manner to increase resolution for mobile camera modules. As optical aberrations tend to be variant according to spatial location, algorithm should support spatially variant deblurring. Also, a deblurring problem is known to be rank-deficient, thus requires a regularization and a sparse norm such as L p norm where 0 ≤ p ≤ 1 has achieved satisfactory solutions. We focus on elaborating algorithm details and a corresponding architecture to efficiently implement with those two requirements. Also, we present a simulation result with the real sensor and this result shows that image resolution can be increased in terms of Modulated Transfer Function (MTF).
ISSN:2379-190X
DOI:10.1109/ICASSP40776.2020.9054525