17 search results - page 1 / 4 » A nonparametric minimum entropy image deblurring algorithm |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
TIP
2008
13 years 3 months ago
2008
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
CSB
2004
IEEE
13 years 8 months ago
2004
IEEE
Clustering is a common methodology for analyzing the gene expression data. In this paper, we present a new clustering algorithm from an information-theoretic point of view. First,...
ICIP
1997
IEEE
14 years 6 months ago
1997
IEEE
The Minimum-Entropy Clustering (MEC) algorithm proposed in this paper provides an optimal method for addressing the non-stationarity of a source with respect to entropy coding. Th...
ICIP
2001
IEEE
14 years 6 months ago
2001
IEEE
In the early 1990s, the state-of-the-art in commercial chromosome image acquisition was grayscale. Automated chromosome classification was based on the grayscale image and boundar...