A Review on Despeckling Filters in Ultrasound Images for Speckle Noise Reduction

Ultrasound imaging is the most generally used in medical diagnosis and it is corrupted by speckle noise, which is multiplicative. For a better diagnosis, there is also a need to decrease the speckle noise in ultrasound images. Speckle noise minimization filters are identified to intensify the discer...

Full description

Saved in:
Bibliographic Details
Published in2021 International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) pp. 973 - 978
Main Authors Kumar Pal, Shivam, Bhardwaj, Ankur, Shukla, A.P
Format Conference Proceeding
LanguageEnglish
Published IEEE 04.03.2021
Subjects
Filtering
Filters
Image enhancement
Minimization
Noise reduction
Partial differential equations
Speckle
speckle filtering
Systematics
Ultrasonic imaging
ultrasound images
Online AccessGet full text

Cover

More Information
Summary:Ultrasound imaging is the most generally used in medical diagnosis and it is corrupted by speckle noise, which is multiplicative. For a better diagnosis, there is also a need to decrease the speckle noise in ultrasound images. Speckle noise minimization filters are identified to intensify the discernible endowment and retain critical features in ultrasound images to recuperate medical diagnosis. For the pronouncement of thyroid disorders, ultrasound imaging is mainly used. Considering the detection of medical images that are affected by speckle noise, multiple speckle-noise refine has been suggested. Speckle noise filters like filtering statistics, domain filtering transformation, filtering of Boolean logic, and filtering based on partial differential equations. This paper provides a systematic literature search on the latest approach for ultrasound image noise reduction.
DOI:10.1109/ICACITE51222.2021.9404638