2D Gradient Algorithms for Noise Reduction in Radiological Images

Authors

DOI:

https://doi.org/10.19053/01211129.v32.n65.2023.16178

Keywords:

2D adaptive filter, Noise cancellation, Signal processing, Radiological images, Gradient algorithm

Abstract

In areas such as biomedical image processing, the techniques or methods used to recover the content in noise-contaminated signals are essential. One of them has been adaptive filtering, which, by adjusting to the desired signal through real-time updating of the coefficients, allows improvement and deconvolution in the recovery of degraded or contaminated images, attracting the attention of researchers in inverse problems. In this paper, the 2D-AR  gradient algorithm is used in noise reduction in dental radiological images, for which simulations are performed to obtain the best configuration of the hyperparameters, and a statistical analysis of the values obtained is performed. Based on the simulation results and the established metrics, it is demonstrated that the algorithm achieves a slightly higher noise reduction than the other 2D gradient algorithms (LMS and NLMS).

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2023-04-04
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How to Cite

Collazos-Ramírez, J, Jojoa, P-E, & Hoyos, J-P. (2023). 2D Gradient Algorithms for Noise Reduction in Radiological Images. Revista Facultad de Ingeniería, 32(65), e16178. https://doi.org/10.19053/01211129.v32.n65.2023.16178
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Issue

Vol. 32 No. 65 (2023): July-September 2023 (Continuous Publication)

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Papers

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Copyright (c) 2023 Jhonatan Collazos-Ramírez, Pablo-Emilio Jojoa, Juan-Pablo Hoyos

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