Vol. 7 No. 3 (2025): Ranah Research : Journal Of Multidisciplinary Research and Development

Eksperimen Perbandingan Otsu Thresholding dan Canny Edge Detection Terhadap Peningkatan Kualitas Citra Beresolusi Rendah

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Redho Putra Ramadhan
Universitas Muhammadiyah Bengkulu
Pahrizal Pahrizal
Universitas Muhammadiyah Bengkulu
Yovi Apridiansyah
Universitas Muhammadiyah Bengkulu

Published

Mar 29, 2025

DOI

https://doi.org/10.38035/rrj.v7i3.1575

Abstract

In today's digital era, digital images play an important role in various fields, including image processing, surveillance systems, and medical image processing. However, one of the main challenges is that low-resolution images often experience quality degradation, so the loss of important details caused by noise and blurring makes the information in the image unclear. To overcome this problem, various image processing methods have been developed, including the Otsu Thresholding and Canny Edge Detection methods. This study will compare two methods for improving the quality of low-resolution images, namely Otsu Thresholding and Canny Edge Detection. This experiment was conducted to determine how effective the two methods are by testing several low-resolution image samples and then evaluating the results based on the PSNR, MSE, and SSIM metric values. The experimental results obtained show that the Otsu Thresholding method outperforms Canny Edge Detection in terms of improving image quality, as evidenced by better PSNR, lower MSE, and SSIM closer to 1. Thus, Otsu Thresholding is recommended as a more effective and optimal method in low-resolution image processing. Therefore, it is hoped that the results of this study can be a reference for developing more effective and optimal low-resolution image processing methods in the future.

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How to Cite
Ramadhan, R. P., Pahrizal, P. and Apridiansyah, Y. (2025) “Eksperimen Perbandingan Otsu Thresholding dan Canny Edge Detection Terhadap Peningkatan Kualitas Citra Beresolusi Rendah”, Ranah Research : Journal of Multidisciplinary Research and Development, 7(3), pp. 2210-2216. doi: 10.38035/rrj.v7i3.1575.

References

Alamsyah, M. (2019) ‘Segmentasi Citra Iris Mata Menggunakan Metode Otsu Thresholding’, JOINTECS (Journal of Information Technology and Computer Science), 4(1), p. 23. Available at: https://doi.org/10.31328/jointecs.v4i1.1001.
Anggraeni, D.T. (2021) ‘Perbaikan Citra Dokumen Hasil Pindai Menggunakan Metode Simple, Adaptive-Gaussian, dan Otsu Binarization Thresholding’, EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi, 11(2), p. 71. Available at: https://doi.org/10.36448/expert.v11i2.2170.
Anwar, M.T., Hidayat, S. and Adil, A. (2021) ‘Transformasi Lontar Babad Lombok Menuju Digitalisasi Berbasis Natural Gradient Flexible (NGF)’, Jurnal Teknologi Informasi dan Ilmu Komputer, 8(2), pp. 275–282. Available at: https://doi.org/10.25126/jtiik.2021824088.
Arriyanti, E., Harianto, K. and Putra, N.A. (2017) ‘PERBANDINGAN CITRA MENGGUNAKAN STRUCTURAL SIMILARITY’, (25).
Ayu Larasati, D. and Kunci, K. (2021) ‘Application of the K-NN Method and GLCM Feature Extraction in Classifying Formalin Fish Images’, JRCS(Journal of Research Computer Science), 1(1), pp. 1–13. Available at: http://journal.station-it.org/index.php/jrcs.
Ghifari, M.A. Al, Panji Sasmito, A. and Rudhistiar, D. (2022) ‘Aplikasi Pendeteksian Kematangan Tomat Menggunakan Thresholding’, JATI (Jurnal Mahasiswa Teknik Informatika), 6(1), pp. 294–300. Available at: https://doi.org/10.36040/jati.v6i1.4606.
Informasi, F.T. and Luhur, U.B. (2017) ‘Model Keamanan Pesan Pada Video Menggunakan Metode One ’ S Complement Cryptography Dan Track Free Atom Steganography 1’, 9(3), pp. 139–150.
Maximillian, L. et al. (2023) ‘Perbandingan Algoritma Sobel dan Canny untuk Deteksi Tepi Citra Daun Lidah Buaya’, Komputa : Jurnal Ilmiah Komputer dan Informatika, 12(2), pp. 69–79. Available at: https://doi.org/10.34010/komputa.v12i2.10997.
Pramudiya et al. (2024) ‘Analisis Gambar Menggunakan Metode Grayscale Dan Hsv (Hue, Saturation, Value)’, Sistem Informasi, Teknologi Informasi dan Komputer, 14(3), pp. 174–180.
Sinaga, B. et al. (2021) ‘Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny’, Jurnal Sains Komputer & Informatika (J-SAKTI, 5(2), p. 1066.
Syarif, A. et al. (2021) ‘Identifikasi Kain Tapis Lampung Menggunakan Ekstraksi Fitur Edge Detection (Canny) Dan Klasifikasi Probability Neural Network (Pnn)’, Jurnal Pepadun, 2(1), pp. 115–125. Available at: https://doi.org/10.23960/pepadun.v2i1.32.
Wulan Dari, N. (2022) ‘Identifikasi Deteksi Tepi Pada Pola Wajah Menerapkan Metode Sobel, Roberts dan Prewitt’, Bulletin of Information Technology (BIT), 3(2), pp. 85–91. Available at: https://doi.org/10.47065/bit.v3i2.271.