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Registration Based Non‐uniform Motion Deblurring
Author(s) -
Cho Sunghyun,
Cho Hojin,
Tai YuWing,
Lee Seungyong
Publication year - 2012
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2012.03211.x
Subject(s) - deblurring , motion blur , computer vision , artificial intelligence , perspective (graphical) , computer science , motion (physics) , point spread function , motion interpolation , shake , image restoration , motion estimation , image (mathematics) , mathematics , image processing , block matching algorithm , object (grammar) , video tracking , physics , astronomy
This paper proposes an algorithm which uses image registration to estimate a non‐uniform motion blur point spread function (PSF) caused by camera shake. Our study is based on a motion blur model which models blur effects of camera shakes using a set of planar perspective projections (i.e., homographies). This representation can fully describe motions of camera shakes in 3D which cause non‐uniform motion blurs. We transform the non‐uniform PSF estimation problem into a set of image registration problems which estimate homographies of the motion blur model one‐by‐one through the Lucas‐Kanade algorithm. We demonstrate the performance of our algorithm using both synthetic and real world examples. We also discuss the effectiveness and limitations of our algorithm for non‐uniform deblurring.