Title :
Parallelization of deconvolution based image super-resolution on multi-core CPU platform
Author :
Zengzeng Sun ; Cheolkon Jung
Author_Institution :
Int. Res. Center for Intell. Perception & Comput., Xidian Univ., Xi´an, China
Abstract :
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
Keywords :
deconvolution; image reconstruction; image resolution; multiprocessing systems; video signal processing; deconvolution parallelization; deconvolution-based image SR reconstruction; image processing; image quality; image superresolution reconstruction; mapping threads; multicore CPU platform; multicore central processing unit; video processing; Central Processing Unit; Deconvolution; Image reconstruction; Interpolation; Multicore processing; Runtime; Spatial resolution; Deconvolution; OpenMP; multi-core CPU; parallelization; super-resolution;
Conference_Titel :
Multimedia and Expo (ICME), 2014 IEEE International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ICME.2014.6890124
