Applied Analysis of Image Accelerating Distortion Correction of OpenCL Technology on Heterogeneous Platform

Computer Science ›› 2016, Vol. 43 ›› Issue (Z11): 167-169.doi: 10.11896/j.issn.1002-137X.2016.11A.036

Applied Analysis of Image Accelerating Distortion Correction of OpenCL Technology on Heterogeneous Platform

WEI Bo-wen, LI Tao, LI Guang-yu, WANG Zhi-heng, HE Mu, SHI Yue-ling, LIU Lu-yao and ZHANG Rui

Online:2018-12-01 Published:2018-12-01

Abstract

Abstract: According to the increasing problem of low processing efficiency and computational bottleneck in massive remote sensing data,for providing a more efficient approach of big data processing of remote sensing,using OpenCL pa-rallel processing technology can accelerate the processing of remote sensing image based on program of general purpose GPU.The analyses of test results on heterogeneous GPU platforms indicate that OpenCL technology can dramatically increase velocity of distortion calibration of image and can achieve 29.1 times best speedup.Comparing to parallel processing of CUDA suggests that using OpenCL technology on heterogeneous platform has a common superiority.

Key words: OpenCL,CUDA,Parallel processing,Heterogeneous platform commonality,Distortion calibration

WEI Bo-wen, LI Tao, LI Guang-yu, WANG Zhi-heng, HE Mu, SHI Yue-ling, LIU Lu-yao and ZHANG Rui. Applied Analysis of Image Accelerating Distortion Correction of OpenCL Technology on Heterogeneous Platform[J].Computer Science, 2016, 43(Z11): 167-169.

0
/ / Recommend

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

URL: https://www.jsjkx.com/EN/10.11896/j.issn.1002-137X.2016.11A.036

https://www.jsjkx.com/EN/Y2016/V43/IZ11/167

References

[1] 肖汉,马歌,周清雷.面向OpenCL架构的Harris角点检测算法[J].计算机科学,2014,41(7):306-309,321
[2] 王艳梅,史晓华,于湛麟.SURF算法在通用GPU和OpenCL的优化与实现[J].电子测试,2013(23):38-42
[3] 李焱,张云泉,王可等.异构平台上基于OpenCL的FFT实现与优化[J].计算机科学,2011,38(8):284-286,296
[4] 熊英,罗琼.基于OpenCL的NDVI算法[J].计算机光盘软件与应用,2013,16(18):99-100
[5] 安小景,张云泉,贾海鹏.基于OpenCL的直方图生成算法优化方法研究[J].计算机科学,2015,42(11):32-36
[6] 丁莹,李文辉,范静涛,等.基于GPU的大视场景物畸变实时校正算法[J].吉林大学学报(工学版),2010,0(1):189-194
[7] 詹总谦,卢亮.基于GPU并行处理技术的影像畸变差修正[J].测绘信息与工程,2011,6(2):1-3
[8] Parker J A,Kenyon R V,Troxel D E.Comparison of interpolating methods for image resampling[J].IEEE Transactions on Medical Imaging,1983,2(1):31-39
[9] 张剑清,潘励,王树根.摄影测量学(第二版)[M].武汉:武汉大学出版社,2003:213-215

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 0

No Suggested Reading articles found!