Blur estimation in limited-control environments
| Autor: | Timothy F. Gee, Kenneth W. Tobin, Jeffery R. Price |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
business.industry
Computer science Estimation theory Position (vector) Computer Science::Computer Vision and Pattern Recognition Maximum likelihood Control (management) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer vision Artificial intelligence business Image restoration Parametric statistics |
| Zdroj: | ICASSP |
| DOI: | 10.1109/icassp.2001.941258 |
| Popis: | We propose a method to estimate the blur of a fixed imaging system, without control of camera position or lighting, using an inexpensive target. Such a method is applicable, for example, in the restoration of surveillance imagery where the imaging system is available, but with only limited control of the imaging conditions. We extend a previously proposed parametric blur model and maximum likelihood technique to estimate a more general family of blur functions. The requirements for an appropriate characterization target are also discussed. Experimental results with artificial and real data are presented to validate the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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