Title :
Improved Bilinear Interpolation Method for Image Fast Processing
Author_Institution :
Guangdong Univ. of Educ., Guangzhou, China
Abstract :
Bilinear interpolation algorithm is broadly applied in digital image processing but its calculation speed is very slow. In order to improve its performance in calculation, this paper proposes a graphic processing unit acceleration-based bilinear interpolation parallel It mainly utilizes Wallis transforming independence among various blocks in bilinear interpolation, which is adaptable to characteristics of GPU parallel processing structure. It maps traditional serial bilinear interpolation algorithm to CUDA parallel programming model and optimize thread allocation, memory usage, hardware resources division, etc, to make full use of huge calculation ability. The experiment results show bilinear interpolation parallel algorithm can greatly improve calculation speed with increasing image resolution.
Keywords :
graphics processing units; image resolution; interpolation; parallel algorithms; parallel architectures; parallel programming; CUDA parallel programming model; GPU parallel processing structure; Wallis transforming independence; bilinear interpolation parallel algorithm; calculation ability; calculation speed improvement; digital image processing; graphic processing unit acceleration; hardware resource division optimization; image resolution improvement; memory usage optimization; performance improvement; serial bilinear interpolation algorithm; thread allocation optimization; Acceleration; Computers; Graphics processing units; Instruction sets; Interpolation; Parallel algorithms; CUDA; GPU; bilinear interpolation; image processing;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2014 7th International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-6635-6
DOI :
10.1109/ICICTA.2014.82
