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ICIP
2010
IEEE
14 years 10 months ago
Constructing a sparse convolution matrix for shift varying image restoration problems
Convolution operator is a linear operator characterized by a point spread functions (PSF). In classical image restoration problems, the blur is usually shift invariant and so the ...
Stanley H. Chan
75
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Image filtering: Potential efficiency and current problems
The paper contains comparisons of lower bound (potential) and achieved efficiency for filtering grayscale and color images corrupted by AWGN. It is demonstrated that for complex s...
Vladimir V. Lukin, Sergey K. Abramov, Nikolay N. P...
69
Voted
ESANN
2000
15 years 2 months ago
Quantum iterative algorithm for image reconstruction problems
Iterative algorithm based on quantum tunneling is proposed by making use of mean- eld approximation. W e apply our method to the problem of BW image reconstruction (IR). Its perfor...
Jun-ichi Inoue
98
Voted
TIP
1998
128views more  TIP 1998»
15 years 11 days ago
Nonlinear wavelet image processing: variational problems, compression, and noise removal through wavelet shrinkage
This paper examines the relationship between wavelet-based image processing algorithms and variational problems. Algorithms are derived as exact or approximate minimizers of varia...
Antonin Chambolle, Ronald A. DeVore, Nam-Yong Lee,...
155
Voted
DLOG
2011
14 years 4 months ago
On the Problem of Weighted Max-DL-SAT and its Application to Image Labeling
Abstract. For a number of problems, such as ontology learning or image labeling, we need to handle uncertainty and inconsistencies in an appropriate way. Fuzzy and Probabilistic De...
Stefan Scheglmann, Carsten Saathoff, Steffen Staab