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BILDMED
2009
215views Algorithms» more  BILDMED 2009»
13 years 6 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
TNN
2008
143views more  TNN 2008»
13 years 5 months ago
Blur Identification by Multilayer Neural Network Based on Multivalued Neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network with a traditional feedforward architecture. At the same time, this network has a number of spe...
Igor N. Aizenberg, Dmitriy Paliy, Jacek M. Zurada,...
SCALESPACE
2009
Springer
13 years 12 months ago
Nonlocal Variational Image Deblurring Models in the Presence of Gaussian or Impulse Noise
Abstract. We wish to recover an image corrupted by blur and Gaussian or impulse noise, in a variational framework. We use two data-fidelity terms depending on the noise, and sever...
Miyoun Jung, Luminita A. Vese
ICIP
2010
IEEE
13 years 3 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
HVEI
2009
13 years 3 months ago
Towards a true spherical camera
We present the design of a spherical imaging system with the following properties: (i) A 4 field of view that enables it to "see" in all directions; (ii) a single center...
Gurunandan Krishnan, Shree K. Nayar