DocumentCode
2405016
Title
Automatic removal of foreground occluder from multi-focus images
Author
Yamashita, Atsushi ; Tsurumi, Fumiya ; Kaneko, Toru ; Asama, Hajime
Author_Institution
Dept. of Precision Eng., Univ. of Tokyo, Bunkyo, Japan
fYear
2012
fDate
14-18 May 2012
Firstpage
5410
Lastpage
5416
Abstract
View occluders influence the image quality of a subject when occluders exist between a camera and a subject. For example, a blurred fence image interrupts a subject when an image of a scene is captured by a camera through a fence. In this paper, we propose an automatic removal method of foreground occluders from images using multiple focusing. Our method automatically detects foreground occluder regions by using two images with and without flashlight. The influence of foreground occluders is estimated and overlapping effects of foreground occluders are removed by using multiple focus images. Experimental results show the effectiveness of the proposed method.
Keywords
image processing; image sensors; automatic removal; camera; foreground occluder; image interruption; image quality; multifocus images; multiple focusing images; Cameras; Focusing; Image color analysis; Lenses; Noise; Robot vision systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2012 IEEE International Conference on
Conference_Location
Saint Paul, MN
ISSN
1050-4729
Print_ISBN
978-1-4673-1403-9
Electronic_ISBN
1050-4729
Type
conf
DOI
10.1109/ICRA.2012.6224549
Filename
6224549
Link To Document