Authors:

Wayan Adhitya Prathama, I Gede Arta Wibawa

Abstract:

“In improving the quality of the image basically makes the appearance of an image better than before. One thing that is done in improving the image quality is noise qualification. This noise qualification aims to reduce the level of noise contained in a digital image. In this study, the image used is the image of Bali palm leaf. There are many methods that can be used to qualify for noise. One of them is the Gaussian filter. In this study, Gaussian Filter is used as a method to qualify the noise contained in the palm leaf image. The image quality after the noise qualification process is calculated using PSNR (Peak Signal to Noise Ratio). The higher the PSNR value obtained, the better the image quality. In this study, the PSNR value obtained in the palm leaf image after processing the noise qualification is 54.7625 db. Keywords: Gaussian Filter, Noise, PSNR, Bali Palm Leaf, Image”

Keywords

Gaussian Filter, Noise, PSNR, Bali Palm Leaf, Image

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PDF:

https://jurnal.harianregional.com/jlk/full-53192

Published

2020-01-25

How To Cite

PRATHAMA, Wayan Adhitya; ARTA WIBAWA, I Gede. Noise Qualification in Bali Palm Leaf Image with Gaussian Filter Method.JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), [S.l.], v. 8, n. 3, p. 301-304, jan. 2020. ISSN 2654-5101. Available at: https://ojs.unud.ac.id/index.php/JLK/article/view/53192. Date accessed: 28 Aug. 2025. doi:https://doi.org/10.24843/JLK.2020.v08.i03.p12.

Citation Format

ABNT, APA, BibTeX, CBE, EndNote - EndNote format (Macintosh & Windows), MLA, ProCite - RIS format (Macintosh & Windows), RefWorks, Reference Manager - RIS format (Windows only), Turabian

Issue

Vol 8 No 3 (2020): JELIKU Volume 8 No 3, February 2020

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License