Parallelization of deconvolution based image super-resolution on multi-core CPU platform

Super-resolution (SR) reconstruction has been widely studied in recent years because of its promising applications in image and video processing. However, comparatively few studies on achieving high computational efficiency without losing performance have been made. In this paper, we provide parallelization of deconvolution-based image SR on a multi-core central processing unit (CPU) platform. We divide the SR problem in images into many sub-problems which are computationally independent of each other. The sub-problems are solved by mapping threads to different cores on a multi-core CPU platform. Experimental results demonstrate that the proposed method achieves superior performance in terms of both image quality and runtime.¹