An Efficient Image Enhancement Method Using Anisotropic Diffusion Filter and Gabor filter

Abstract: Geometric distortion in lung X-ray is a common issue, often caused by errors in the data acquisition system such as optical lenses, imaging sensors, and the imaging environment. Correcting geometric distortion is a major stage in medical imaging and remote sensing. It directly impacts the accuracy and performance of next stages of lung X-ray. In this study, the use of the Anisotropic Diffusion Filter (ADF) for noise removal, in combination with the Gabor Filter (GF) to reduce distortion, helps to effectively enhance lung images.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-13
DOI
https://doi.org/10.5281/zenodo.18994555
Primary Topic
Image and Signal Denoising Methods
Type
article
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article

An Efficient Image Enhancement Method Using Anisotropic Diffusion Filter and Gabor filter

Dr. Prathapchandra, Dr.Praveen Haandi Lakshman, Mr. Ramachandra, Dr.Avinash S et al.
Zenodo (CERN European Organization for Nuclear Research)
Image and Signal Denoising Methods
article

An Efficient Image Enhancement Method Using Anisotropic Diffusion Filter and Gabor filter

Dr. Prathapchandra, Dr.Praveen Haandi Lakshman, Mr. Ramachandra, Dr.Avinash S, Mrs.Sushma K H
article en

Abstract

Abstract: Geometric distortion in lung X-ray is a common issue, often caused by errors in the data acquisition system such as optical lenses, imaging sensors, and the imaging environment. Correcting geometric distortion is a major stage in medical imaging and remote sensing. It directly impacts the accuracy and performance of next stages of lung X-ray. In this study, the use of the Anisotropic Diffusion Filter (ADF) for noise removal, in combination with the Gabor Filter (GF) to reduce distortion, helps to effectively enhance lung images.

Zenodo (CERN European Organization for Nuclear Research)
Shri Dharmasthala Manjunatheswara College of Ayurveda and Hospital (IN), Sri Dharmasthala Manjunatheshwara College of Dental Sciences & Hospital (IN), "Institute" Energosetproject" (RU)
Openalex Percentile: Top 24%
Image and Signal Denoising Methods
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