DocumentCode
133744
Title
Limitations of super resolution image reconstruction for commercial products
Author
Gohshi, Seiichi
Author_Institution
Kogakuin Univ., Tokyo, Japan
fYear
2014
fDate
3-7 Aug. 2014
Firstpage
319
Lastpage
324
Abstract
Super Resolution (SR) is technology that improves the resolution of an image. Most SR algorithms are complex and need iterations. Recent commercial products such as HDTV sets, BluRay players, and digital cameras are equipped with an SR technology called super resolution image reconstruction (SRR). SRR algorithms have strict constraint conditions and require precise motion vector detection. It is not easy to use SRR in HDTV sets that have to work in real time. In particular, HDTV content has motion blur since it is a moving image. The motion blur reduces resolution and makes it difficult to detect motion vectors accurately. Yet despite these obvious problems, the limitations of using SRR in commercial products have not been addressed. This paper discusses those limitations.
Keywords
image motion analysis; image reconstruction; image resolution; BluRay players; HDTV sets; SR algorithms; SR technology; SRR algorithms; commercial products; digital cameras; motion blur; precise motion vector detection; strict constraint conditions; super resolution image reconstruction; Delays; Image resolution; Presses; TV; TV broadcasting; Video sequences; Image; Motion Blur; Super Resolution Reconstruction; Video;
fLanguage
English
Publisher
ieee
Conference_Titel
World Automation Congress (WAC), 2014
Conference_Location
Waikoloa, HI
Type
conf
DOI
10.1109/WAC.2014.6935916
Filename
6935916
Link To Document