Limitations of super resolution image reconstruction for commercial products

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.