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CCECE
2006
IEEE
14 years 2 months ago
Regularized Fractal Image Decoding
The goal of this paper is to present a new recipe for the fractal image decoding process. In this paper, we explain how fractal-based methods can be internally combined with regul...
Mehran Ebrahimi, Edward R. Vrscay
BILDMED
2009
215views Algorithms» more  BILDMED 2009»
13 years 9 months ago
Vector Extrapolation-Based Acceleration of Regularized Richardson Lucy Image Deblurring
Confocal fluorescence microscopy has become an important tool in biological and medical sciences for imaging thin specimen, even living ones. Due to out-of-focus blurring and noise...
Steffen Remmele, Jürgen Hesser
TIP
2010
160views more  TIP 2010»
13 years 3 months ago
Development and Optimization of Regularized Tomographic Reconstruction Algorithms Utilizing Equally-Sloped Tomography
We develop two new algorithms for tomographic reconstruction which incorporate the technique of equally-sloped tomography (EST) and allow for the optimized and flexible implementat...
Yu Mao, Benjamin P. Fahimian, Stanley Osher, Jianw...
ICASSP
2011
IEEE
13 years 8 days ago
An augmented Lagrangian method for video restoration
This paper presents a fast algorithm for restoring video sequences. The proposed algorithm, as opposed to existing methods, does not consider video restoration as a sequence of im...
Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gi...
SIAMIS
2008
141views more  SIAMIS 2008»
13 years 8 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher