Paper Info
Title
Limitation of Super Resolution Image Reconstruction for Video
Abstract
Super resolution image reconstruction (SRR) is one of the typical super resolution (SR) technologies that has been researched in the past with varying results. The SRR algorithm was proposed for still images at first and was extended to video. However, there are different characteristics between still images and video. Many researches proposed "Fast and Robust SRR" algorithms since SRR needs iterations that cause delay if they are applied to the real time video. Except for the delay SRR has other issues. One of the most interesting points of SRR for video is the limitation of the resolution. Although HDTV sets with SRR is in the market recently, their resolution is inferior to the HDTV sets without SR. In this paper the achievable highest resolution with SRR and the limitation of SRR for video is discussed.
Year
DOI
Venue
2013
10.1109/CICSYN.2013.24
CICSyN
Keywords
Field
DocType
image reconstruction,image resolution,video signal processing,HDTV sets,SRR algorithm,delay SRR,still images,super resolution image reconstruction,super resolution technologies,video,Frequency Domain,Image,Super Resolution Reconstruction,Video
Frequency domain,Iterative reconstruction,Computer vision,Computer graphics (images),Computer science,Super resolution image reconstruction,Artificial intelligence,Image resolution,Superresolution
Conference
Citations 
PageRank 
References 
3
0.42
0
Authors
1
Name
Order
Citations
PageRank
Seiichi Gohshi17118.16