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Penapisan Derau Gaussian, Speckle dan Salt&Pepper Pada Citra Warna

IJCCS (Indonesian Journal of Computing and Cybernetics Systems) · Vol. 5 No. 3 (2011) · pp. 29–35

DOI
10.22146/ijccs.5209
ISSN
2460-7258, 1978-1520
Published
2011-11-19
Publisher
IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&Pepper

Collaboration network of the authors

15 authors · 23 co-authorship links · 12 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Indonesia University of Education
  • Universitas Halu Oleo
  • Indonesia Open University
  • Lambung Mangkurat University
  • Telkom University
  • Institut Teknologi Sepuluh Nopember
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Rahmat RamadhanUniversitas Halu Oleo1
Endang AnggiratihUniversitas Gadjah Mada1
Wahyono WahyonoUniversitas Gadjah Mada1
Muhammad Dzulfikar FauziUniversitas Gadjah Mada1
Nuruddin WirandaLambung Mangkurat University1
Erna PiantariIndonesia University of Education1
Dwi Fitria Al HusaeniIndonesia University of Education1
Dwi Novia Al HusaeniIndonesia University of Education1
Mushfani Ainul UrwahIndonesia University of Education1
Suyanto SuyantoTelkom University1
Jayanti Yusmah SariInstitut Teknologi Sepuluh Nopember1
Rabiuldien AmatUniversitas Halu Oleo1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journal.ugm.ac.id/ijccs/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Penapisan Derau Gaussian, Speckle dan Salt&amp;Pepper Pada Citra Warna</dc:title>
	<dc:creator>Purwanti Ningrum, Ika</dc:creator>
	<dc:creator>Eko Putra, Agfianto</dc:creator>
	<dc:creator>Nursantika, Dian</dc:creator>
	<dc:description xml:lang="en-US">Quality of digital image can decrease becouse some noises. Noise can come from lower quality of image recorder, disturb when transmission data process and weather. Noise filtering can make image better becouse will filtering that noise from the image and can improve quality of digital image. This research have aim to improve color image quality with filtering noise. Noise (Gaussian, Speckle, Salt&amp;Pepper) will apply to original image, noise from image will filtering use Bilateral Filter method, Median Filter method and Average Filter method so can improve color image quality. To know how well this research do, we use PSNR (Peak Signal to Noise Ratio) criteria with compared original image and filtering image (image after using noise and filtering noise).This research result with noise filtering Gaussian (variance = 0.5), highest PSNR value found in the Bilateral Filter method is 27.69. Noise filtering Speckle (variance = 0.5), highest PSNR value found in the Average Filter method is 34.12. Noise filtering Salt&amp;Pepper (variance = 0.5), highest PSNR value found in the Median Filter method is 31.27. Keywords— Bilateral Filter, image restoration, derau Gaussian, Speckle dan Salt&amp;Pepper</dc:description>
	<dc:publisher xml:lang="en-US">IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.</dc:publisher>
	<dc:contributor xml:lang="en-US">IndoCEISS</dc:contributor>
	<dc:date>2011-11-19</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:identifier>https://journal.ugm.ac.id/ijccs/article/view/5209</dc:identifier>
	<dc:identifier>10.22146/ijccs.5209</dc:identifier>
	<dc:source xml:lang="en-US">IJCCS (Indonesian Journal of Computing and Cybernetics Systems); Vol 5, No 3 (2011): November; 29-35</dc:source>
	<dc:source>2460-7258</dc:source>
	<dc:source>1978-1520</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.ugm.ac.id/ijccs/article/view/5209/4264</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2011 IJCCS - Indonesian Journal of Computing and Cybernetics Systems</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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