Implementation of interpolation method in reconstructing damaged satellite image caused by impulse noise

Background: Images are extensively utilized in fields such as engineering, health, and defense. During transmission, these images often lose quality due to noise interference.Aim: The primary objective of this study is to develop a method to effectively reduce salt and pepper noise, a common issue i...

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Bibliographic Details
Published in:	Al-Jabar Vol. 14; no. 2; pp. 341 - 351
Main Authors:	Riawan Syahrul Haz, Habban, Abdurrazzaq, Achmad, Junoh, Ahmad Kadri Bin, Syazali, Muhamad
Format:	Journal Article
Language:	English
Published:	Pendidikan Matematika, UIN Raden Intan Lampung 16-12-2023
Subjects:	image filtering impulse noise interpolation linear algebra
Online Access:	Get full text
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Summary:	Background: Images are extensively utilized in fields such as engineering, health, and defense. During transmission, these images often lose quality due to noise interference.Aim: The primary objective of this study is to develop a method to effectively reduce salt and pepper noise, a common issue in image transmission, and restore images to their original state.Method: To achieve this, we propose using a numerical approach based on the interpolation method, specifically designed to address the noise reduction challenge.Result: Experimental application of the interpolation method on various images demonstrated that it significantly enhances the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index Measure (SSIM) values, especially for images with low to medium noise density.Conclusion: Compared to other methods, our interpolation-based approach shows superior performance in reducing salt and pepper noise in images, making it a promising solution for image restoration in various applications.
ISSN:	2086-5872 2540-7562
DOI:	10.24042/ajpm.v14i2.14069