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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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Main Authors: | , , , , , , , , , |
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Format: | Conference Proceeding |
Language: | English |
Subjects: | |
Online Access: | Request full text |
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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). |
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ISSN: | 2379-190X |
DOI: | 10.1109/ICASSP40776.2020.9054525 |