Comparative Study and Analysis of Advanced Denoising Techniques for Speckle Noise Reduction in Ultrasound Images

Unexpected changes in the brightness and color values in the images causes introduction of distortion or noise in the image and frames of the video stream. Such random unexpected variation in the brightness and color values doesn’t carry any intelligence or information in the image, in fact it degrades the quality of the image. To minimize the effect of such meaningless information, denoising frameworks are designed. In this research paper we have studied various denoising frameworks for speckle noise reduction and proposed a de-speckling algorithm. The performance evaluation is carried out with evaluation parameters such as PSNR and MSSIM.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-22
DOI
https://doi.org/10.5281/zenodo.15490422
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
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article

Comparative Study and Analysis of Advanced Denoising Techniques for Speckle Noise Reduction in Ultrasound Images

Zenodo (CERN European Organization for Nuclear Research)
Image and Signal Denoising Methods
article

Comparative Study and Analysis of Advanced Denoising Techniques for Speckle Noise Reduction in Ultrasound Images

article en

Abstract

Unexpected changes in the brightness and color values in the images causes introduction of distortion or noise in the image and frames of the video stream. Such random unexpected variation in the brightness and color values doesn’t carry any intelligence or information in the image, in fact it degrades the quality of the image. To minimize the effect of such meaningless information, denoising frameworks are designed. In this research paper we have studied various denoising frameworks for speckle noise reduction and proposed a de-speckling algorithm. The performance evaluation is carried out with evaluation parameters such as PSNR and MSSIM.

Zenodo (CERN European Organization for Nuclear Research)
Sant Gadge Baba Amravati University (IN)
Openalex Percentile: Top 51%
Image and Signal Denoising Methods
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Comparative Study and Analysis of Advanced Denoising Techniques for Speckle Noise Reduction in Ultrasound Images · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS