Approach to Grayscale Image Enhancement by Noise Reduction

Authors

  • Saad Hussein Abed Hamed College of Computer Science & Information Technology, Al-Qadisiyah University, Al-Diwaniyah, Iraq
  • Mahmoud Mohamed Mahmoud maadi College of Computer Technology Benghazi , 5444+9G4, Benghazi, Libya

DOI:

https://doi.org/10.29304/jqcsm.2023.15.41347

Keywords:

Robust technique, image denoising, grayscale images, camera sensors

Abstract

With the rise in the quantity of digital photos taken each day, there is a rising desire for more accurate and aesthetically appealing images. More precisely, noise is a problem for photos in terms of corruption since certain sounds may be introduced to the image automatically during capture. Additionally, camera sensors and lighting conditions contribute to the noise that might be added to the picture. This is referred to as additive noise. Noise reduction is critical for achieving a beautiful picture. describe a robust approach for decreasing noise in photos based on the heat equation in this study. Additionally, we compare our proposed technique against many existing methods using denoising performance indicators.

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Published

2023-12-30

How to Cite

Hussein Abed Hamed, S., & Mohamed Mahmoud maadi, M. (2023). Approach to Grayscale Image Enhancement by Noise Reduction. Journal of Al-Qadisiyah for Computer Science and Mathematics, 15(4), Comp. 20–27 . https://doi.org/10.29304/jqcsm.2023.15.41347

Issue

Section

Computer Articles