Title :
Limitations of super resolution image reconstruction for commercial products
Author_Institution :
Kogakuin Univ., Tokyo, Japan
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;
Conference_Titel :
World Automation Congress (WAC), 2014
Conference_Location :
Waikoloa, HI
DOI :
10.1109/WAC.2014.6935916