Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2007.04a
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- Pages.35-37
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- 2007
Improved Super-Resolution Algorithm using MAP based on Bayesian Approach
- Published : 2007.04.27
Abstract
Super resolution using stochastic approach which based on the Bayesian approach is to easy modeling for a priori knowledge. Generally, the Bayesian estimation is used when the posterior probability density function of the original image can be established. In this paper, we introduced the improved MAP algorithm based on Bayesian which is stochastic approach in spatial domain. And we presented the observation model between the HR images and LR images applied with MAP reconstruction method which is one of the major in the SR grid construction. Its test results, which are operation speed, chip size and output high resolution image Quality. are significantly improved.
Keywords
- super-resolution;
- high-resolution;
- low-resolution;
- registration error;
- Bayesian;
- maximum a posteriori