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

Habban Riawan Syahrul Haz, Achmad Abdurrazzaq, Ahmad Kadri bin Junoh, Muhamad Syazali

Abstract


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.


Keywords


Interpolation; Linear Algebra; Impulse Noise; Image Filtering

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References


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DOI: http://dx.doi.org/10.24042/ajpm.v14i2.14069

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