Noise, particularly Gaussian noise, can distort images and reduce information. The James Webb Space Telescope (JWST) is vital for understanding the universe and capturing images that inspire people. This paper introduces several nonlinear filters to remove Gaussian noise from the Carina Nebula Image, first image taken by JWST. The filters consider similarities and distances between central pixels and preserve edges as advanced features. However, in this paper, we propose a new nonlinear filter. This filter features a series of non-linear operations starting with cross- validation (CV) techniques to extract the appropriate smoothing parameter of the image. This parameter is used to create the density function, which is then used to apply a total variation noise reduction technique to eliminate the noise. As a result, these candidates are critical to achieving space exploration’s objectives, showcasing technology innovation, and expanding scientific understanding. The results demonstrate that the suggested filter outperforms other noise reduction filters in image restoration at various Gaussian noise densities, yielding PSNR and SSIM values of (52.12) and (0.99), respectively. When the noise ratio is 0.01, the filters’ output surpasses the differences in noise ratio.
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5 March 2025
3RD INTERNATIONAL CONFERENCE ON MATHEMATICS, AI, INFORMATION AND COMMUNICATION TECHNOLOGIES: ICMAICT2023
27–28 April 2024
Erbil, Iraq
Research Article|
March 05 2025
A new non-linear filter for image denoising
Mohammed Abdul Wadood Mohammed;
Mohammed Abdul Wadood Mohammed
a)
1
Department of Statistics, College of Administration and Economics, University of Baghdad
, Baghdad, Iraq
a)Corresponding author: [email protected]
Search for other works by this author on:
Assma Ghalib Jaber
Assma Ghalib Jaber
b)
1
Department of Statistics, College of Administration and Economics, University of Baghdad
, Baghdad, Iraq
Search for other works by this author on:
Mohammed Abdul Wadood Mohammed
1,a)
Assma Ghalib Jaber
1,b)
1
Department of Statistics, College of Administration and Economics, University of Baghdad
, Baghdad, Iraq
a)Corresponding author: [email protected]
AIP Conf. Proc. 3264, 050061 (2025)
Citation
Mohammed Abdul Wadood Mohammed, Assma Ghalib Jaber; A new non-linear filter for image denoising. AIP Conf. Proc. 5 March 2025; 3264 (1): 050061. https://doi.org/10.1063/5.0258639
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