10 search results - page 1 / 2 » Blind image deconvolution via dispersion minimization |
DSP
2006
13 years 4 months ago
2006
In linear image restoration, the point spread function of the degrading system is assumed known even though this information is usually not available in real applications. As a re...
ICIP
2010
IEEE
13 years 2 months ago
2010
IEEE
We formulate the multiframe blind deconvolution problem in an incremental expectation maximization (EM) framework. Beyond deconvolution, we show how to use the same framework to a...
ECCV
2004
Springer
14 years 6 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
2008
IEEE
13 years 11 months ago
2008
IEEE
We propose a new image and blur prior model, based on nonstationary autoregressive (AR) models, and use these to blindly deconvolve blurred photographic images, using the Gibbs sa...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
In many real applications traditional superresolution methods fail to provide high-resolution images due to objectionable blur and inaccurate registration of input low-resolution ...