PARALLEL COMPUTING FOR BLURRING IMAGE USING MEAN AND WEIGHTED AVERAGE METHOD

Abstract

Blurring is one of the basic image processing technique in order to reduce the noise in a image. In this paper two methods of blurring which are called mean and weighted average method will be elaborated. Three different sizes of mask (3 × 3, 5 × 5 and 7 × 7) are given for each method. Moreover, three different of resolution images 1000 × 1000, 700 × 700, and 400 × 400 pixels are used. From the experiment result, the output image by mean method is shown a darker than the weighted average method. Additionally, run time of CPU using mean method is around 77.78 % shorter than weighted average method.

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Author Biographies

M. REZA SYAHZIAR, Universitas Telkom

Program Studi Ilmu Komputasi, Fakultas Informatika - Universitas Telkom

P. H. GUNAWAN, Universitas Telkom

Program Studi Ilmu Komputasi, Fakultas Informatika - Universitas Telkom

Published
2018-02-03
How to Cite
SYAHZIAR, M. REZA; GUNAWAN, P. H.. PARALLEL COMPUTING FOR BLURRING IMAGE USING MEAN AND WEIGHTED AVERAGE METHOD. E-Jurnal Matematika, [S.l.], v. 7, n. 1, p. 11-16, feb. 2018. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/37598>. Date accessed: 24 may 2024. doi: https://doi.org/10.24843/MTK.2018.v07.i01.p178.
Section
Articles