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All Journal Paradikma: Jurnal Pendidikan Matematika International Journal of Community Service Learning Abdimas Galuh : Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian UNDIKMA Journal of Information Technology Ampera JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Dinamika Informatika (JDI) Prosiding Seminar Nasional Unimus
Ginanjar Setyo Nugroho
Universitas PGRI Yogyakarta
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Journal : Journal of Information Technology Ampera

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Perbandingan Algoritma untuk Mereduksi Noise pada Citra Digital Ginanjar Setyo Nugroho; Gulam Hazmin
Journal of Information Technology Ampera Vol. 3 No. 2 (2022): Journal of Information Technology Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalita.volume3.isssue2.year2022.page159-174

Abstract

Image restoration is one of the stages in the field of Digital Image Processing. Image restoration is objective, in the sense that restoration techniques tend to be based on mathematical or probabillistic models of image degradation. The mathematical algorithm to reduce noise in digital images in this study uses 8 filtering algorithm methods. The purpose of this study is to compare 8 filtering algorithm and conclude which algorithm is the best for reducing noise in digital images. The method for generating noise uses Rayleigh Noise and Erlang (Gamma) Noise. The algorithm for reducing noise is Arithmetic Mean Filter, Geometric Mean Filter, Harmonic Mean Filter, Contraharmonic Mean Filter, Geometric Mean Filter, Harmonic Mean Filter, Contraharmonic Mean Filter, Median Filter, Maximum Filter, Minimum Filter, and Midpoint Filter. The measurement to determine which algorithm is the best using Root Mean Square Error (RMSE). Tests were carried out on 15 digital images by testing 1200 times. The conclusion of this study is that the best algorithm for noise reduction is Median Filter by resulting the smallest RMSE value of 6.0860942.
Co-Authors Adi Prasetyo Adi Prasetyo Adi Prasetyo Chrisma Wuri Haryaningrum Emilia Yunritati Firdiyan Syah Gulam Hazmin Gulam Hazmin Gulam Hazmin Marti Widya Sari Moh Nuradi Murniady Muchran Murniady Muchran Murniady Muchran Murniady Muchran Prasetyo, Adi Rahma Saptaningsih Sumarmi Vivi Risnawati Yulia Vanda Editia