104 search results - page 3 / 21 » A variational method for Bayesian blind image deconvolution |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. Segmentation and blind restoration are both classical problems, that are known to be difficult and have attracted major research efforts. This paper shows that the two pr...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Functional properties of living tissues appear in PET, whereas structural information at significantly higher resolution and better image quality is provided by other modalities, ...
IJON
2002
13 years 7 months ago
2002
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Source Code
TV-based image restoration with options for deconvolution, inpainting, and different noise models. Chan-Vese segmentation also included. Usable from C, C++, or MATLAB.