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A Study of Signal Model Building for Optical Transfer Function

Kalman filter addresses an estimation problem defined by two models: the signal model and the observation model. In this thesis, the signal model is obtained from a ratio of the defected and clean pictures in frequency domain. The observation model is built for an additive measurement noise from electronic sampling. The statistics of the generating noise for the signal model is important in Kalman filtering. The focus of this thesis is to derive the variance of the generating noise in the middle band for the signal model. By this derived variance, the Kalman filter is thus possible to be applied to estimate the optical transfer function for a defected imaging system in the future.

Identiferoai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0911108-024450
Date11 September 2008
CreatorsWu, Jhong-yang
ContributorsBen-shung Chow, Shie-Jue Lee, Tsung Lee, Chin-Hsing Chen
PublisherNSYSU
Source SetsNSYSU Electronic Thesis and Dissertation Archive
LanguageCholon
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911108-024450
Rightsnot_available, Copyright information available at source archive

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