Title
Image super-resolution reconstruction based on fusion of K-SVD and semi-coupled dictionary learning.
Abstract
In order to solve the problem of time-consuming dictionary training process, we propose an image super-resolution reconstruction approach based on fusion of K-SVD algorithm and semi-coupled dictionary learning framework. In this paper, we use K-SVD algorithm to training the dictionary pair in the semi-coupled dictionary learning model. In comparison with the existing methods, experiment results on image reconstruction show that the proposed algorithm reduce dictionary training time nearly four times, while improve the quality of reconstructed images.
Year
Venue
Field
2016
Asia-Pacific Signal and Information Processing Association Annual Summit and Conference
Iterative reconstruction,Algorithm design,Dictionary learning,Pattern recognition,K-SVD,Computer science,Fusion,Artificial intelligence,Image resolution,Superresolution
DocType
ISSN
Citations 
Conference
2309-9402
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Xiu Zhang1179.47
Wei Zhou2179.47
Zhemin Duan3615.71