Multi-sensor super-resolution

A. Zomet; S. Peleg

doi:10.1109/ACV.2002.1182150

Multi-sensor super-resolution

A. Zomet, S. Peleg

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

83 Scopus citations

Abstract

Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors. Particularly, we use the fact that most discontinuities in the image of one sensor correspond to discontinuities in the other sensors. Two applications are presented: Increasing the resolution of a single color image by using the correlation among the three color channels, and enhancing noisy IR images.

Original language	English
Title of host publication	Proceedings - 6th IEEE Workshop on Applications of Computer Vision, WACV 2002
Publisher	IEEE Computer Society
Pages	27-31
Number of pages	5
ISBN (Electronic)	0769518583
DOIs	https://doi.org/10.1109/ACV.2002.1182150
State	Published - 2002
Event	6th IEEE Workshop on Applications of Computer Vision, WACV 2002 - Orlando, United States Duration: 3 Dec 2002 → 4 Dec 2002

Publication series

Name	Proceedings of IEEE Workshop on Applications of Computer Vision
Volume	2002-January
ISSN (Print)	2158-3978
ISSN (Electronic)	2158-3986

Conference

Conference	6th IEEE Workshop on Applications of Computer Vision, WACV 2002
Country/Territory	United States
City	Orlando
Period	3/12/02 → 4/12/02

Bibliographical note

Publisher Copyright:
© 2002 IEEE.

Keywords

Charge-coupled image sensors
Color
Colored noise
Image resolution
Image restoration
Image sensors
Infrared image sensors
Satellites
Spatial resolution
Surveillance

Access to Document

10.1109/ACV.2002.1182150

Cite this

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title = "Multi-sensor super-resolution",

abstract = "Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors. Particularly, we use the fact that most discontinuities in the image of one sensor correspond to discontinuities in the other sensors. Two applications are presented: Increasing the resolution of a single color image by using the correlation among the three color channels, and enhancing noisy IR images.",

keywords = "Charge-coupled image sensors, Color, Colored noise, Image resolution, Image restoration, Image sensors, Infrared image sensors, Satellites, Spatial resolution, Surveillance",

author = "A. Zomet and S. Peleg",

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doi = "10.1109/ACV.2002.1182150",

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Zomet, A & Peleg, S 2002, Multi-sensor super-resolution. in Proceedings - 6th IEEE Workshop on Applications of Computer Vision, WACV 2002., 1182150, Proceedings of IEEE Workshop on Applications of Computer Vision, vol. 2002-January, IEEE Computer Society, pp. 27-31, 6th IEEE Workshop on Applications of Computer Vision, WACV 2002, Orlando, United States, 3/12/02. https://doi.org/10.1109/ACV.2002.1182150

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AB - Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors. Particularly, we use the fact that most discontinuities in the image of one sensor correspond to discontinuities in the other sensors. Two applications are presented: Increasing the resolution of a single color image by using the correlation among the three color channels, and enhancing noisy IR images.

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KW - Color

KW - Colored noise

KW - Image resolution

KW - Image restoration

KW - Image sensors

KW - Infrared image sensors

KW - Satellites

KW - Spatial resolution

KW - Surveillance

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Multi-sensor super-resolution

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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