393 search results - page 10 / 79 » Direct Sparse Deblurring |
NIPS
2008
13 years 9 months ago
2008
It is now well established that sparse signal models are well suited for restoration tasks and can be effectively learned from audio, image, and video data. Recent research has be...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Applying a sparse constraint on the beam pattern has been suggested to suppress the sidelobe level of a minimum variance distortionless response (MVDR) beamformer. In this letter, ...
SIGPRO
2010
13 years 6 months ago
2010
Total Variation (TV) regularization is a popular method for solving a wide variety of inverse problems in image processing. In order to optimize the reconstructed image, it is imp...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
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...
CVPR
2009
IEEE
14 years 2 months ago
2009
IEEE
1 Example-based super-resolution recovers missing high frequencies in a magnified image by learning the correspondence between co-occurrence examples at two different resolution le...