84 search results - page 11 / 17 » Bayesian Restoration of Noisy Images with the EM Algorithm |
SIAMSC
2008
13 years 7 months ago
2008
An effective 2-phase method for removing impulse noise was recently proposed. Its phase 1 identifies noisy pixel candidates by using median-type filters. Then in phase 2, it resto...
ICIP
2005
IEEE
14 years 29 days ago
2005
IEEE
This paper deals with the problem of blind source separation in fMRI data analysis. Our main contribution is to present a maximum likelihood based method to blindly separate the b...
ISBI
2007
IEEE
14 years 1 months ago
2007
IEEE
Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
TIT
2008
13 years 7 months ago
2008
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
TIP
2010
13 years 2 months ago
2010
Super-resolution (SR) is the process of combining multiple aliased low-quality images to produce a high-resolution high-quality image. Aside from registration and fusion of low-res...