Analisis Perbandingan Filter Median dan Gaussian dalam Mengurangi Noise pada Citra Digital

Authors

  • Puji Sri Alhirani Universitas Islam Negeri Sumatera Utara
  • Lailan Sofinah Harahap Universitas Islam Negeri Sumatera Utara
  • Rani Chantika Universitas Islam Negeri Sumatera Utara

DOI:

https://doi.org/10.55606/juitik.v5i2.1148

Keywords:

Digital Image Processing, Gaussian Filter, Median Filter, Noise, PSNR

Abstract

. Digital image processing is one of the important aspects in the world of technology, especially in improving image quality from noise interference. This study aims to analyze and compare the performance of the Median Filter and Gaussian Filter in reducing salt & pepper noise in digital images. The research process was carried out using the Python programming language and the OpenCV and NumPy libraries. The initial image was randomly noised, then processed using both types of filters. The results obtained were evaluated visually and quantitatively using the PSNR (Peak Signal-to-Noise Ratio) and MSE (Mean Squared Error) metrics. Based on the experimental results, the Median Filter was able to produce cleaner images and maintain image details compared to the Gaussian Filter. These results indicate that the Median Filter has advantages in handling salt & pepper noise. This study is expected to be a reference in selecting the right filtering method to improve the quality of digital images.

References

Chairy, A., Arifin, N., & Insani, C. N. (2022). Analisis perbandingan metode Harmonic Mean Filter dan Contraharmonic Mean Filter untuk mengurangi noise pada citra digital. Journal of Computer and Information System (J-CIS), 5(1), 37–46. https://doi.org/10.31605/jcis.v5i1.1533

Fendriani, Y., Kharisma, R., & Peslinof, M. (2023). Analisis perbandingan variasi filter pada deteksi tepi menggunakan metode Canny terhadap citra CT-Scan kanker paru-paru. Journal Online of Physics, 8(2), 77–81. https://doi.org/10.22437/jop.v8i2.24451

G. E., H. C., & Sukemi, S. (2020). Penghapusan noise pada citra kamera CCTV menggunakan metode Gaussian filter. Annual Research Seminar (ARS), 5(1), 180–184.

Lima, R. K., Doo, S. Y., Pollo, D. E. D. G., Elektro, P. T., Nusa, U., & Kupang, C. (2024). Analisis perbandingan reduksi noise menggunakan metode mean, median dan contra-harmonic mean filtering pada citra grayscale pola tenunan daerah Provinsi Nusa Tenggara Timur: A comparative analysis of noise reduction using mean, median and contra-harmonic. Jurnal Elektro Telekomunikasi Terapan, 11(1), 9–15. https://journals.telkomuniversity.ac.id/jett/article/view/6827/2435

Mulyana, D., Rismawan, T., & Suhery, C. (2022). Application of Gaussian filter and histogram equalization for repair X-ray image. Digital Zone: Jurnal Teknologi Informasi dan Komunikasi, 13(1), 34–43. https://doi.org/10.31849/digitalzone.v13i1.9770

Noviani, N. (2021). Peningkatan kualitas citra karikatur menggunakan filter maksimum dan filter median. Journal of Computing and Informatics Research, 1(1), 1–6. https://doi.org/10.47065/comforch.v1i1.110

Pratama, F. W., Ziidan, M., Saleh, R. D., & Bagaskara, S. (2024). Image processing dengan bahasa pemrograman Python menggunakan metode median filtering untuk reduksi noise citra digital. Journal of Computing and Informatics Research, 2(1), 33–37.

Satya, I. D. G. R., Widiartha, I. M., Atmaja Darmawan, I. D. M. B., Ari Mogi, I. K., Astuti, L. G., & Santiyasa, I. W. (2022). Implementasi metode Gaussian dan median filtering dalam penghilangan noise pada citra. JELIKU (Jurnal Elektronik Ilmu Komputer Udayana), 10(2), 189. https://doi.org/10.24843/jlk.2021.v10.i02.p01

Sitohang, B., Sindar, A., & Nusantara, S. P. (2020). Analisis dan perbandingan metode Sobel edge detection dan Prewit pada deteksi tepi citra daun Srilangka. Jurnal Nasional Komputasi dan Teknologi Informasi, 3(3), 314–322.

Sugandi, F. (2023). Implementasi metode Gaussian filtering dalam mengurangi noise pada pengolahan citra digital. International Research on Big-Data and Computer Technology: I-Robot, 7(2), 21–26. https://doi.org/10.53514/ir.v7i2.237

Wedianto, A., Sari, H. L., & H, Y. S. (2016). 269-Article Text-766-1-10-20160609. Jurnal Media Infotama, 12(1), 21–30.

Wibowo, S. H., & Susanto, F. (2017). Penerapan metode Gaussian smoothing untuk mereduksi noise pada citra digital. Jurnal Media Infotama, 12(2). https://doi.org/10.37676/jmi.v12i2.416

Yadi, Y. (2018). Analisa usability pada website Traveloka. Jurnal Ilmiah Betrik, 9(03), 172–180. https://doi.org/10.36050/betrik.v9i03.43

Yusro, K. A., & Sianturi, R. D. (2018). Penerapan metode median filtering dan histogram equalization untuk meningkatkan kualitas citra radiografi. Jurnal Riset Komputer (JURIKOM), 5(3), 254–260.

Zanuar, D., Prastya, E., Putra Pamungkas, D., & Niswatin, R. K. (2022). Implementasi metode Gaussian filter dan median filter untuk penghalusan gambar. Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 178–187.

Downloads

Published

2025-06-05

How to Cite

Puji Sri Alhirani, Lailan Sofinah Harahap, & Rani Chantika. (2025). Analisis Perbandingan Filter Median dan Gaussian dalam Mengurangi Noise pada Citra Digital. Jurnal Ilmiah Teknik Informatika Dan Komunikasi, 5(2), 495–505. https://doi.org/10.55606/juitik.v5i2.1148

Similar Articles

1 2 3 4 5 > >> 

You may also start an advanced similarity search for this article.