Editore: LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3848438984 ISBN 13: 9783848438983
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 22,62
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jang JinbeumJinbeum Jang was born in Suwon, Korea, in 1989. He received the B.S. degree in Digital Media from Sangmyung University, Seoul Korea, in 2014. Currently, he is pursuing a M.S. degree in Image Science at Chung-Ang Universit.
Editore: LAP Lambert Academic Publishing Jun 2015, 2015
ISBN 10: 3848438984 ISBN 13: 9783848438983
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 23,90
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Robust extraction of features in a severely defocused image is the fundamental problem of a phase-difference autofocusing system. In order to solve this problem, a multi-resolution feature extraction algorithm is proposed. Given the extracted features, the proposed auto-focusing system can provide the ideal focusing position using phase correlation matching. Since the proposed system accurately estimates the phase difference in the out-of-focus blurred image under low illumination, it can provide fast, robust auto focusing. 52 pp. Englisch.
Editore: LAP Lambert Academic Publishing, 2015
ISBN 10: 3848438984 ISBN 13: 9783848438983
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 23,90
Convertire valutaQuantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Robust extraction of features in a severely defocused image is the fundamental problem of a phase-difference autofocusing system. In order to solve this problem, a multi-resolution feature extraction algorithm is proposed. Given the extracted features, the proposed auto-focusing system can provide the ideal focusing position using phase correlation matching. Since the proposed system accurately estimates the phase difference in the out-of-focus blurred image under low illumination, it can provide fast, robust auto focusing.