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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

40 authors · 98 co-authorship links · 10 across different organisations · showing the 40 most connected

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

  • Universitas Halu Oleo
  • Universitas Gadjah Mada
  • Indonesia University of Education
  • Indonesia Open University
  • Lambung Mangkurat University
  • Telkom University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Jayanti Yusmah SariUniversitas Halu Oleo5
Muh YaminUniversitas Halu Oleo4
Statiswaty StatiswatyUniversitas Halu Oleo4
Rahmat RamadhanAffiliation unknown4
Adha Mashur SajiahUniversitas Halu Oleo4
Muh. Ihsan SaritaUniversitas Halu Oleo3
Bambang PramonoUniversitas Halu Oleo3
Sutardi SutardiUniversitas Halu Oleo3
Natalis RansiUniversitas Halu Oleo2
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
Rabiuldien AmatUniversitas Halu Oleo1
Irmaya Citra HarwendhaniAffiliation unknown1
Muh. Abdi FahmiAffiliation unknown1
Azim RamadhanAffiliation unknown1
Ayu Sabrina SyairUniversitas Halu Oleo1
La Ode ApriadiAffiliation unknown1
Muhammad FajarAffiliation unknown1
Wa Ode Wahyuni MakmunUniversitas Halu Oleo1
Muhammad Ihsan SaritaUniversitas Halu Oleo1
Rifa’atus ShalihahUniversitas Halu Oleo1
Christine Florence KiswantoAffiliation unknown1
Iqbal TawaqqalAffiliation unknown1
Anita Puspita DewiAffiliation unknown1
Agtria Prilika HerniatyAffiliation unknown1
Muh Farid FachroniUniversitas Halu Oleo1
La Ode Muhammad Golok JayaUniversitas Halu Oleo1
Alif MuqtadirAffiliation unknown1
Muhammad UsganAffiliation unknown1

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 Oct 2026, last seen 8 Nov 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>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
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	<dc:format>application/pdf</dc:format>
	<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>
</oai_dc:dc>