Penerapan Bilateral Filtering untuk Peningkatan Kualitas Citra Digital Fokus pada Gaussian, Salt-and-Pepper, dan Speckle Noise

Andre Dermawan; Tommy Tommy; Divi Handoko

doi:10.30829/algoritma.v8i2.22130

Penerapan Bilateral Filtering untuk Peningkatan Kualitas Citra Digital Fokus pada Gaussian, Salt-and-Pepper, dan Speckle Noise

Andre Dermawan, Tommy Tommy, Divi Handoko

Abstract

The main objective of this research is to improve the quality of digital images without losing important details, such as object edges, while also developing efficient and user- friendly software for image processing. Bilateral filtering is a non-linear filtering method used to reduce noise in images while preserving edge details. This filter works by combining smoothing based on spatial proximity and pixel intensity similarity. Thus, bilateral filtering is effective in reducing noise without blurring the important edges of the image. This research develops an application that can open, process, and save digital images, allowing users to practically reduce noise in images. The results show that bilateral filtering can significantly enhance digital image quality with substantial noise reduction, although certain types of noise may require further parameter adjustments for optimal results.

Keywords: Bilateral Filtering, Digital Image, Noise, Visual Basic, Image Processing.

Full Text:

PDF

References

Ardiansyah, R., & Kurniawan, T. (2021). Implementasi Bilateral Filtering pada Citra Berwarna untuk Pengurangan Noise. Jurnal Sistem Komputer, 17(2), 101-114.

Butt, I. T., & Rajpoot, N. M. (2023). Multilateral filtering: A novel framework for generic similarity-based image denoising. IEEE International Conference on Image Processing, 14(2), 533-545.

Chang, S. G., Yu, B., & Vetterli, M. (2022). Adaptive wavelet thresholding for image denoising and compression. IEEE Transactions on Image Processing, 32(4), 1532-1546.

Elad, M. (2022). On the origin of the bilateral filter and the ways to improve it.

IEEE Transactions on Image Processing, 31(5), 1234-1246.

Irawan, F., & Susanto, Y. (2020). Studi Eksperimen Bilateral Filtering untuk Pengolahan Citra Digital. Jurnal Ilmu Komputer Indonesia, 19(4), 231-243.

Kovesi, P. (2021). Phase congruency detects corners and edges in image processing. Journal of Computer Vision, 29(5), 309-318.

Lee, H., & Kim, J. (2020). Adaptive Bilateral Filtering in Medical Image Processing: A Comparative Study. Pattern Recognition Letters, 47(6), 455-467.

Luisier, F., & Blu, T. (2020). Improved bilateral filter for suppressing mixed noise in color images. Signal Processing: Image Communication, 49(3), 334-345.

Permana, D., & Hasan, U. (2022). Bilateral Filtering untuk Reduksi Noise pada Citra Medis: Sebuah Tinjauan. Jurnal Informatika, 12(3), 89-102.

Peng, H., & Rao, R. (2021). Bilateral filtering with adaptation to phase coherence and noise. Signal, Image and Video Processing, 16(4), 876-889.

DOI: http://dx.doi.org/10.30829/algoritma.v8i2.22130