Registration Based Non-uniform Motion Deblurring

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., homograph...

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Vydáno v:Computer graphics forum Ročník 31; číslo 7; s. 2183 - 2192
Hlavní autoři: Cho, Sunghyun, Cho, Hojin, Tai, Yu-Wing, Lee, Seungyong
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford, UK Blackwell Publishing Ltd 01.09.2012
Témata:
Algorithms
Analysis
Cameras
Estimates
I.4.3 [Image Processing and Computer Vision]: Enhancement-Sharpening and deblurring
Image processing systems
Image registration
Mathematical models
Photography
Point spread functions
Registration
Representations
Studies
Three dimensional
ISSN:0167-7055, 1467-8659
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Shrnutí: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.
Bibliografie:ArticleID:CGF3211
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ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2012.03211.x