A Super-Resolution Method Using Spatio-Temporal Registration of Multi-Scale Components in Consideration of Color-Sampling Patterns of UHDTV Cameras

Abstract

Ultra high-definition television (UHDTV) video contain many similar objects in a single-frame because it has high self-similarity caused by its high resolution. In addition, typical UHDTV cameras have one-CMOS sensor with a Bayer or other color-sampling pattern. A super-resolution method using single-frame registration of an original image and its multi-scale components is therefore proposed. Furthermore, this registration performs similarly for this original image and multi-scale components in past and future images of this original image. Accuracy of the registration is enhanced by compensating the registration results in consideration of color-sampling patterns of UHDTV cameras. Experiments show that the proposed method provides an objectively better PSNR measurement and a subjectively better appearance in comparison with the conventional and state-of-the-art super-resolution methods.