TY - GEN
T1 - Hybrid Speckle De-Noising Filters for Ultrasound Images
AU - Sikhakhane, Kwazikwenkosi
AU - Rimer, Suvendi
AU - Gololo, Mpho
AU - Ouahada, Khmaies
AU - Abu-Mahfouz, Adnan
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Ultrasound imaging uses reflected echo signals from high-frequency sound waves transmitted into a body with high water content to create images of the internal soft tissue, bone, and blood flow. Different kinds of noise are introduced during the signal acquisition and processing stages. Ultrasound images are mostly affected by speckle noise. High-quality images can improve the observational accuracy of diagnostic exams. Speckle noise degrades an image's quality, making it difficult to recognize, analyze, and measure. To reduce speckle noise in ultrasound images and improve diagnostic capability, an investigation and comparison study of the different image filters currently available was done. Thereafter a hybrid filter combination of speckle, gaussian, median and average filter was used to remove speckle noise in ultrasound images. The proposed hybrid filters outperformed other filters in terms of PSNR, SNR, SSIM and MSE.
AB - Ultrasound imaging uses reflected echo signals from high-frequency sound waves transmitted into a body with high water content to create images of the internal soft tissue, bone, and blood flow. Different kinds of noise are introduced during the signal acquisition and processing stages. Ultrasound images are mostly affected by speckle noise. High-quality images can improve the observational accuracy of diagnostic exams. Speckle noise degrades an image's quality, making it difficult to recognize, analyze, and measure. To reduce speckle noise in ultrasound images and improve diagnostic capability, an investigation and comparison study of the different image filters currently available was done. Thereafter a hybrid filter combination of speckle, gaussian, median and average filter was used to remove speckle noise in ultrasound images. The proposed hybrid filters outperformed other filters in terms of PSNR, SNR, SSIM and MSE.
KW - digital filters
KW - Gaussian
KW - image processing
KW - Median
KW - speckle noise
KW - Specklefilt
KW - Wiener
UR - http://www.scopus.com/inward/record.url?scp=85177680824&partnerID=8YFLogxK
U2 - 10.1109/AFRICON55910.2023.10293419
DO - 10.1109/AFRICON55910.2023.10293419
M3 - Conference contribution
AN - SCOPUS:85177680824
T3 - IEEE AFRICON Conference
BT - Proceedings of the 16th IEEE AFRICON, AFRICON 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th IEEE AFRICON, AFRICON 2023
Y2 - 20 September 2023 through 22 September 2023
ER -