Document Detail

Removing Motion Blur with Space-Time Processing.
MedLine Citation:
PMID:  21435978     Owner:  NLM     Status:  Publisher    
Although spatial deblurring is relatively wellunderstood by assuming that the blur kernel is shift-invariant, motion blur is not so when we attempt to deconvolve this motion blur on a frame-by-frame basis: this is because, in general, videos include complex, multi-layer transitions. Indeed, we face an exceedingly difficult problem in motion deblurring of a single frame when the scene contains motion occlusions. Instead of deblurring video frames individually, a fully 3-D deblurring method is proposed in this paper to reduce motion blur from a single motion-blurred video to produce a high resolution video in both space and time. The blur kernel is free from explicit knowledge of local motions unlike other existing motion-based deblurring approaches. Most importantly, due to its inherent locally adaptive nature, the 3-D deblurring is capable of automatically deblurring the portions of the sequence which are motion blurred, without segmentation, and without adversely affecting the rest of the spatiotemporal domain where such blur is not present. Our proposed approach is a two-step approach; first we upscale the input video in space and time without explicit estimates of local motions and then perform 3-D deblurring to obtain the restored sequence.
H Takeda; P Milanfar
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-3-24
Journal Detail:
Title:  IEEE transactions on image processing : a publication of the IEEE Signal Processing Society     Volume:  -     ISSN:  1941-0042     ISO Abbreviation:  -     Publication Date:  2011 Mar 
Date Detail:
Created Date:  2011-3-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9886191     Medline TA:  IEEE Trans Image Process     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
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