Steel Sheet Surface Image Denoising Based on CUDA

Shi-yang ZHOU, You-ping CHEN, Hua-liang XIA

Abstract


The steel sheet surface image denoising problem is addressed based on powerful parallel computing of GPU. We present some experiments comparing three denoising methods of original median filtering, improved median filtering and mean filtering. The experiment result shows that the proposed methods perform more efficiently compared with traditional method of CPU.

Keywords


Steel sheet surface image, Image denoising, Parallel computing


DOI
10.12783/dtcse/aita2017/16041

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