Title
New algorithms for example-based super-resolution
Abstract
This paper describes enhancements on example-based super-resolution. Example-based super resolution has the advantage that only one observation of the low-resolution image is required but reconstruction requires long processing time. We propose techniques to achieve faster operation and/or better quality by several modifications of previous techniques. We show some typical data as quantitative results also including video in electronic version.
Year
DOI
Venue
2005
10.1007/11556121_96
CAIP
Keywords
Field
DocType
electronic version,low-resolution image,example-based super resolution,typical data,new algorithm,long processing time,quantitative result,better quality,previous technique,faster operation,example-based super-resolution,super resolution,low resolution
Computer vision,Computer graphics (images),Computer science,Pattern analysis,Image processing,Artificial intelligence,Superresolution,Image resolution
Conference
Volume
ISSN
ISBN
3691
0302-9743
3-540-28969-0
Citations 
PageRank 
References 
0
0.34
7
Authors
4
Name
Order
Citations
PageRank
László Czuni16813.41
Gergely Császár200.34
daesung cho3346.58
Hyun Mun Kim419130.52