Spatial and Temporal Information as Camera Parameters for Super-resolution Video

Abstract

Most modern consumer cameras are capable of video capture, but their spatial resolution is generally lower than that of still images. The spatial resolution of videos can be enhanced with a hybrid camera system that combines information from high-resolution still images with low-resolution video frames in a process known as super-resolution. As this process is computationally intensive, we propose a camera system that uses the spatial and temporal information measures SI and TI standardized by ITU as camera parameters to determine during capture whether super-resolution processing would result in an increase in perceived quality. Experimental results show that the difference of these two measures can be used to determine the feasibility of super-resolution processing.