112 search results - page 6 / 23 » On Sparsity and Overcompleteness in Image Models |
ICIP
2010
IEEE
2010
IEEE
Restoration of images and 3D data to higher resolution by deconvolution with sparsity regularization
13 years 5 months ago
Image convolution is conventionally approximated by the LTI discrete model. It is well recognized that the higher the sampling rate, the better is the approximation. However somet...
IJCV
2000
13 years 7 months ago
2000
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
A general framework for solving image inverse problems is introduced in this paper. The approach is based on Gaussian mixture models, estimated via a computationally efficient MAP...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...