74 search results - page 4 / 15 » On Semismooth Newton's Methods for Total Variation Minimizat... |
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
We introduce a novel functional for vector-valued images that generalizes several variational methods, such as the Total Variation and Beltrami Functionals. This functional is bas...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
This paper describes an optimization framework for reconstructing nonnegative image intensities from linear projections contaminated with Poisson noise. Such Poisson inverse probl...
JMIV
2006
13 years 6 months ago
2006
Abstract. A generalized iterative regularization procedure based on the total variation penalization is introduced for image denoising models with non-quadratic convex fidelity ter...
ECCV
2010
Springer
13 years 4 months ago
2010
Springer
Compressive sampling (CS) is aimed at acquiring a signal or image from data which is deemed insufficient by Nyquist/Shannon sampling theorem. Its main idea is to recover a signal ...
ICIP
1994
IEEE
13 years 10 months ago
1994
IEEE
The two main plagues of image restoration are oscillations and smoothing. Traditional image restoration techniques prevent parasitic oscillations by resorting to smooth regulariza...