A Scheme for Super-Resolution of Video Based on r/KPSO

摘要

Super-resolution (SR) is a classic problem in image processing. Super-resolution of Video (SRV) aims to build video with high resolution from the one with low resolution. In this paper, we presented a novel SRV scheme on the base of r/KPSO. After modeling the relationship between high and low resolution video, the r/KPSO algorithm was utilized to solve the relationship model to determine the high resolution one. With the consideration of rebuilt video's quality, objective function of the model was designed to contain gradient and second-order differential, for smoothness and fine details. Experimental results of our proposed method showed higher objective performance. And besides objective criteria, the proposed method could also obtain better subjective quality with finer details and higher sharpness.