CUDA-based directional image/video interpolation

Image/Video scaling is one of the most important applications in the image processing or video post processing. At present, in order to realize real time processing, the applications are normally based on some simple but poor-quality interpolation algorithm. For a high-quality image/video scaling, a fast interpolation algorithm is desired for real-time purpose. In this paper, we use the CUDA(Compute Unified Device Architecture) technology to accelerate an existing NEDI(New Edge-Directed Interpolation) algorithm to meet the need of real-time processing and desired scaling quality. Experimental results show that for NEDI algorithm the CUDA-based implementation can be more than 100 times faster than the original implementation.