Paper Info
Title
Fast Superresolution for Image Sequences Using Motion Adaptive Relaxation Parameters.
Abstract
Abstract: This paper presents a novel fast superresolution algorithmusing motion adaptive relaxation parameters.By adopting the fast iterative algorithm based on preconditioner,the proposed algorithm can rapidly restorehigh resolution details in the original high resolutionimage. Moreover, the proposed algorithm provides abetter interpolated images by using the motion adaptiverelaxation parameter which controls the convergencerate. Finally, it can be applied to the generalimage sequence with...
Year
DOI
Venue
1999
10.1109/ICIP.1999.817201
ICIP (3)
Keywords
Field
DocType
motion estimation,image resolution,degradation,convergence rate,filtering,interpolation,image processing,iterative algorithm,image restoration,spatial resolution
Computer vision,Feature detection (computer vision),Computer science,Iterative method,Interpolation,Image processing,Artificial intelligence,Rate of convergence,Motion estimation,Image restoration,Superresolution
Conference
Volume
ISBN
Citations 
3
0-7803-5467-2
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Jeongho Shin112417.26
Joonshik Yoon200.34
Joon Ki Paik312918.73
Mongi A. Abidi41372104.38