Title :
Image scaling algorithm based on GPU parallel processing
Author :
Chen Di ; Xia Tian ; Shen Yiying
Author_Institution :
Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
Abstract :
With the technological advancements, the development of remote sensing is rapid, and the resolving capability of sensors has improved greatly, which makes that the further requirements have been raised for processing efficiency of mass-data image. Aim at the problem of the slow-footed processing of mass-data image, this paper modifies the method of third-order Lagrange interpolation, and GPU multi-thread parallel computing techniques is used to develop the speed of image scaling. The simulation results show that the method presented by this paper can realize the fast scaling of mass-data image and the displaying effect is well.
Keywords :
graphics processing units; image processing; interpolation; multi-threading; GPU multithread parallel computing techniques; GPU parallel processing; displaying effect; image scaling algorithm; slow-footed mass-data image processing efficiency; third-order Lagrange interpolation; Estimation; Flowcharts; Graphics processing units; Image color analysis; Image resolution; Interpolation; Parallel processing; GPU; Lagrange interpolation; image processing;
Conference_Titel :
Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 2nd International Symposium on
Conference_Location :
Toronto, ON
DOI :
10.1109/IMSNA.2013.6743460