Paper Info
Title
Super-Resolution on small moving objects.
Abstract
Moving objects are often the most interesting parts in im- age sequences. When images from a camera are undersam- pled and the moving object is depicted small on the image plane, processing afterwards may help to improve the visibil- ity as well as automatic recognition of the object. This paper presents an approach which performs Super-Resolution (SR) specifically on small moving objects. The presented approach estimates simultaneously a sub-pixel accurate boundary and an intensity description of the small moving object. This ap- proach has the advantage that it permits explicit modeling of the partial volume effect for pixels which are influenced by both the moving object and the background of the scene. This paper describes the setup of the proposed SR algorithm for small moving objects and shows its superior performance in comparison with a standard SR approach.
Year
DOI
Venue
2008
10.1109/ICIP.2008.4711988
ICIP
Keywords
Field
DocType
strontium,image resolution,object recognition,partial volume effect,image processing,cost function,super resolution,indexing terms,pixel
Computer vision,Visibility,Pattern recognition,Computer science,Image plane,Image processing,Artificial intelligence,Pixel,Partial volume,Image resolution,Superresolution,Cognitive neuroscience of visual object recognition
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-1764-3
978-1-4244-1764-3
3
PageRank 
References 
Authors
0.43
3
3
Name
Order
Citations
PageRank
Adam W. M. van Eekeren1322.53
Klamer Schutte217318.26
Lucas J. van Vliet3842113.16