DocumentCode :
2403402
Title :
Sensing increased image resolution using aperture masks
Author :
Mohan, Ankit ; Huang, Xiang ; Tumblin, Jack ; Raskar, Ramesh
Author_Institution :
EECS Dept., Northwestern Univ., Evanston, IL
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
We present a technique to construct increased-resolution images from multiple photos taken without moving the camera or the sensor. Like other super-resolution techniques, we capture and merge multiple images, but instead of moving the camera sensor by sub-pixel distances for each image, we change masks in the lens aperture and slightly defocus the lens. The resulting capture system is simpler, and tolerates modest mask registration errors well. We present a theoretical analysis of the camera and image merging method, show both simulated results and actual results from a crudely modified consumer camera, and compare its results to robust dasiablindpsila methods that rely on uncontrolled camera displacements.
Keywords :
cameras; image resolution; image sensors; aperture masks; blind methods; camera; consumer camera; image merging; image resolution; multiple photos; superresolution techniques; Apertures; Digital cameras; Image resolution; Image sensors; Layout; Lenses; Optical design; Optical diffraction; Optical filters; Optical sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on
Conference_Location :
Anchorage, AK
ISSN :
1063-6919
Print_ISBN :
978-1-4244-2242-5
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2008.4587833
Filename :
4587833
Link To Document :
بازگشت