Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPAMI.2009.97
Title: Correction of spatially varying image and video motion blur using a hybrid camera
Authors: Tai, Y.-W.
Du, H.
Brown, M.S. 
Lin, S.
Keywords: Hybrid camera.
Motion deblurring
Spatially varying motion blur
Issue Date: 2010
Source: Tai, Y.-W.,Du, H.,Brown, M.S.,Lin, S. (2010). Correction of spatially varying image and video motion blur using a hybrid camera. IEEE Transactions on Pattern Analysis and Machine Intelligence 32 (6) : 1012-1028. ScholarBank@NUS Repository. https://doi.org/10.1109/TPAMI.2009.97
Abstract: We describe a novel approach to reduce spatially varying motion blur in video and images using a hybrid camera system. A hybrid camera is a standard video camera that is coupled with an auxiliary low-resolution camera sharing the same optical path but capturing at a significantly higher frame rate. The auxiliary video is temporally sharper but at a lower resolution, while the lower frame-rate video has higher spatial resolution but is susceptible to motion blur. Our deblurring approach uses the data from these two video streams to reduce spatially varying motion blur in the high-resolution camera with a technique that combines both deconvolution and super-resolution. Our algorithm also incorporates a refinement of the spatially varying blur kernels to further improve results. Our approach can reduce motion blur from the high-resolution video as well as estimate new high-resolution frames at a higher frame rate. Experimental results on a variety of inputs demonstrate notable improvement over current state-of-the-art methods in image/video deblurring. © 2010 IEEE.
Source Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/39200
ISSN: 01628828
DOI: 10.1109/TPAMI.2009.97
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