A Novel Methodology for Denoising Impulse Noise in Satellite Images through Isolated Vector Median Filter with k-means Clustering

A Novel Methodology for Denoising Impulse Noise in Satellite Images through Isolated Vector Median Filter with k-means Clustering

© 2022 by IJETT Journal
Volume-70 Issue-8
Year of Publication : 2022
Authors : Y.Vishnu Tej, M. James Stephen, P.V.G.D. Prasad Reddy, Praveen Choppala
DOI : 10.14445/22315381/IJETT-V70I8P229

How to Cite?

Y.Vishnu Tej, M. James Stephen, P.V.G.D. Prasad Reddy, Praveen Choppala, "A Novel Methodology for Denoising Impulse Noise in Satellite Images through Isolated Vector Median Filter with k-means Clustering," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 272-283, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I8P229

Satellite image denoising is imperative for improving images' visual quality and making future image processing and analysis chores easier. Noise detection is critical after the noise has been discovered; appropriate filters are applied to eliminate the impulse noise from the image. By attenuating the high-frequency image components and removing noise from the image, essential features are also lost. An efficient denoising approach is necessary to retain important information, improve the visual appearance, and reliably categorize an image. This paper proposes a novel method for denoising satellite images using the isolated vector median filtering with the k-means clustering (IMF-KM) approach. The proposed method has given better performance when compared to the existing algorithms in terms of peak signal-to-noise ratio (PSNR), structure similarity index (SSIM), and root means square error (RMSE).

Image De-noising, Vector median filter, Isolated vector median filter, Basic vector directional filter, Directional distance filter, Directional vector median filter, Isolated vector minimum distance filter.

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