514 search results - page 1 / 103 » Learning Iterative Image Reconstruction |
IJCAI
2001
13 years 11 months ago
2001
Successful image reconstruction requires the recognition of a scene and the generation of a clean image of that scene. We propose to use recurrent neural networks for both analysi...
DAGM
2007
Springer
14 years 4 months ago
2007
Springer
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
BMVC
2010
13 years 7 months ago
2010
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
ICIP
2006
IEEE
14 years 3 months ago
2006
IEEE
in Proc. IEEE Int’l Conf. on Image Processing (ICIP), pp 889-892, 2006 Traditional iterative tomographic reconstruction methods resort to gradient decent methods and require sig...
ICIP
2010
IEEE
13 years 7 months ago
2010
IEEE
Discovering local geometry of low-dimensional manifold embedded into a high-dimensional space has been widely studied in the literature of machine learning. Counter-intuitively, w...