<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This work proposes a novel frequency domain despeckling technique pertaining to the enhancement of the quality of medical ultrasound images. The results of the proposed method have been validated in comparison to both the time-domain and the frequency-domain projections of the schur decomposition as well as with several other benchmark schemes such as frost, lee, probabilistic non-local means (PNLM) and total variation filtering (TVF). The proposed algorithm has shown significant improvements in edge detection and signal to noise ratio (SNR) levels when compared with the performance of the other techniques. Both real and simulated medical ultrasound images have been used to evaluate the numerical and visual effects of each algorithm used in this work.</p>
</abstract>

This work proposes a novel frequency domain despeckling technique pertaining to the enhancement of the quality of medical ultrasound images. The results of the proposed method have been validated in comparison to both the time-domain and the frequency-domain projections of the schur decomposition as well as with several other benchmark schemes such as frost, lee, probabilistic non-local means (PNLM) and total variation filtering (TVF). The proposed algorithm has shown significant improvements in edge detection and signal to noise ratio (SNR) levels when compared with the performance of the other techniques. Both real and simulated medical ultrasound images have been used to evaluate the numerical and visual effects of each algorithm used in this work.

Frequency domain despeckling technique for medical ultrasound images

Department of Mathematics & Natural Sciences

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Frequency domain despeckling technique for medical ultrasound images"}

This work proposes a novel frequency domain despeckling technique pertaining to the enhancement of the quality of medical ultrasound images. The results of the...

Frequency domain despeckling technique for medical ultrasound images

Pubblicato online: 13 set 2021

Pagine: 229 - 239

Ricevuto: 23 dic 2020

DOI: https://doi.org/10.2478/jee-2021-0032

Parole chiave
despeckling, schur decomposition, ultrasound image, covariance matrix, frequency domain, orthonormal vectors

© 2021 Jawad F. Al-Asad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Frequency domain despeckling technique for medical ultrasound images

Pubblicato online: 13 set 2021

Pagine: 229 - 239

Ricevuto: 23 dic 2020

DOI: https://doi.org/10.2478/jee-2021-0032

Parole chiavedespeckling, schur decomposition, ultrasound image, covariance matrix, frequency domain, orthonormal vectors

© 2021 Jawad F. Al-Asad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Parole chiave
despeckling, schur decomposition, ultrasound image, covariance matrix, frequency domain, orthonormal vectors