DocumentCode :
3477463
Title :
Motion blur estimation of handheld camera using regular- and short-exposure image pair
Author :
Kano, Hiroshi ; Hatanaka, Haruo ; Fukumoto, Shimpei ; Murata, Haruhiko
Author_Institution :
SANYO Electr. Co., Ltd., Osaka, Japan
fYear :
2009
fDate :
7-10 Nov. 2009
Firstpage :
1317
Lastpage :
1320
Abstract :
We present in this paper a new image stabilization technology to address motion blurs from camera shake with a regular- and short-exposure image pair taken consecutively. The proposed motion estimation process in this technology adopts a Wiener filter to estimate motion blur using few selected feature corresponding points in the image pair. To obtain a more reliable and precise result, a multi-resolution and morphological image processing technique is then used to further refine the initial estimation. This technology has been applied successfully as an image stabilization function on a consumer digital still camera. The resulting performance is 0.7-1.4 EV exposure time step gain with an average processing time of 3.1 seconds for a 6 M pixel image.
Keywords :
Wiener filters; cameras; image resolution; motion estimation; Wiener filter; consumer digital still camera; handheld camera; image stabilization technology; morphological image processing technique; motion blur estimation process; multiresolution image processing technique; picture size 6 Mpixel; regular-exposure image pair; short-exposure image pair; Deconvolution; Digital cameras; Image processing; Image restoration; Image sensors; Kernel; Motion estimation; Optical devices; Optical filters; Optical sensors; blind deconvolution; blur kernel; digital still camera; image restoration; image stabilization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
ISSN :
1522-4880
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2009.5413583
Filename :
5413583
Link To Document :
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