Recently Kalman filter has been well applied to the problems of image restoration. In this thesis, we apply Kalman filter to estimate the optical transfer function for an imaging system. The signal model is the optical transfer function obtained from a ratio of the defected and clean pictures in frequency domain.
There is thermal noise involved in sampling the optical image signal. We model this thermal noise as the additive measurement noise. We remove the thermal noise by Winner filtering. This filtered image is finally restored by the above estimated the optical transfer function.
The experiments are set up by the instruments including the video camera, capture card, and personal computer. Experimental results, including the estimation of gamma and noise power, have demonstrated that the estimated optical transfer function is useful for image restoration.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0906107-122435 |
| Date | 06 September 2007 |
| Creators | Zeng, Ping-Cheng |
| Contributors | Tsung Lee, Tsang-Yi Wang, Ben-shung Chow, Chin-Hsing Chen |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906107-122435 |
| Rights | not_available, Copyright information available at source archive |
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