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Super‐resolution image reconstruction using state information of a motorized head
Author(s) -
Kogiso Kiminao,
Onishi Satoru,
Sugimoto Kenji
Publication year - 2013
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.21866
Subject(s) - computer vision , artificial intelligence , computer science , observer (physics) , image (mathematics) , identification (biology) , resolution (logic) , high resolution , geography , remote sensing , botany , physics , quantum mechanics , biology
This paper presents an integrated system designed to obtain a high‐resolution image via super‐resolution image reconstruction by using an observer of a motorized head under control. An advantage of this integration is that the constructed system can algebraically and systematically calculate the registration and motion blur identification, which is quite different from the way in which the conventional methods preprocess captured images. To illustrate the effectiveness of the presented system, some experimental results are provided. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.