DocumentCode :
595264
Title :
Removal of dust artifacts in focal stack image sequences
Author :
Chen Li ; Kun Zhou ; Lin, Shunjiang
Author_Institution :
Zhejiang Univ., Hangzhou, China
fYear :
2012
fDate :
11-15 Nov. 2012
Firstpage :
2602
Lastpage :
2605
Abstract :
We propose a technique for removing the appearance of sensor dust in a focal stack image sequence captured with multiple focus settings. Our method is based on the key observation that sensor dust artifacts shift in image position with respect to focus setting, which allows scene information occluded by dust in one image to be inferred from other images in the focal stack. To deal with complications arising from differences in local defocus blur among the images, we analyze the relative blur among corresponding image regions in detecting and removing dust artifacts. Our results show improvements over the state-of-art technique for automatic removal of sensor dust.
Keywords :
dust; image denoising; image restoration; image sensors; image sequences; natural scenes; object detection; optical focusing; dust artifact detection; focal stack image sequence; focus setting; image position shift; local defocus blur image; scene information occlusion; sensor dust artifacts shift; Cameras; Image sequences; Integrated optics; Lenses; Optical imaging; Optical sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2012 21st International Conference on
Conference_Location :
Tsukuba
ISSN :
1051-4651
Print_ISBN :
978-1-4673-2216-4
Type :
conf
Filename :
6460700
Link To Document :
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