High-quality fast image upsampling algorithm based on CUDA

Abstract

Although many upsampling methods have been proposed, but no method can get result images with satisfactory quality in real-time. In this paper, we propose a CUDA based image upsampling algorithm, which can generate sharp edges with reduced grid-related artifacts efficiently. By analyzing existing method, we find chock points which confine the efficiency of the algorithm mostly and use CUDA to accelerate our algorithm and improve the implementation model of the algorithm. In this way we not only guarantee the quality of the result image, but also realize the purpose of a real-time human-computer interaction. Experimental results show that our method can get high-quality upsampled images efficiently. © 2011 Springer-Verlag.