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Author Ming-Chao Chiang ♦ Boult, T.E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Image resolution ♦ Image edge detection ♦ Image sequences ♦ Image restoration ♦ Computer science ♦ High-resolution imaging ♦ Frequency ♦ Sensor phenomena and characterization ♦ US Department of Defense ♦ Lighting control
Abstract Until now, all super-resolution algorithms have presumed that the images were taken under the same illumination conditions. This paper introduces a new approach to super-resolution, based on edge models and a local blur estimate, which circumvents these difficulties. The paper presents the theory and the experimental results using the new approach.
Description Author affiliation: Dept. of Comput. Sci., Columbia Univ., New York, NY, USA (Ming-Chao Chiang)
ISBN 0818678224
ISSN 10636919
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-06-17
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 861.36 kB
Page Count 6
Starting Page 821
Ending Page 826


Source: IEEE Xplore Digital Library