A Real Time Implementation of a Bayer Domain Image Deblurring Core for Optical Blur Compensation
Han-Sol Lee, Eundoo Heo, Wonseok Lee, Do-Chang Ahn, Jeonghyeon Cheon, Kyungho Kim, Kyunghwan Lee, Jeongguk Lee
Abstract
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 <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</inf> 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).
BibTeX
@inproceedings{icassp2020_arealtimeimpleme,
title = {A Real Time Implementation of a Bayer Domain Image Deblurring Core for Optical Blur Compensation},
author = {Han-Sol Lee and Eundoo Heo and Wonseok Lee and Do-Chang Ahn and Jeonghyeon Cheon and Kyungho Kim and Kyunghwan Lee and Jeongguk Lee and Yunseok Choi and Soonkeun Chang},
booktitle = {ICASSP 2020},
year = {2020}
}