Nazir, A.; Younis, M.S.; Shahzad, M.K. MFNR: Multi-Frame Method for Complete Speckle Noise Removal in Ultrasound images Using KDE. Preprints2020, 2020060117. https://doi.org/10.20944/preprints202006.0117.v1
APA Style
Nazir, A., Younis, M.S., & Shahzad, M.K. (2020). MFNR: Multi-Frame Method for Complete Speckle Noise Removal in Ultrasound images Using KDE. Preprints. https://doi.org/10.20944/preprints202006.0117.v1
Chicago/Turabian Style
Nazir, A., Muhammad Shahzad Younis and Muhammad Khurram Shahzad. 2020 "MFNR: Multi-Frame Method for Complete Speckle Noise Removal in Ultrasound images Using KDE" Preprints. https://doi.org/10.20944/preprints202006.0117.v1
Abstract
Speckle noise is one of the most difficult noises to remove especially in medical applications. It is a nuisance in ultrasound imaging systems which is used in about half of all medical screening systems. Thus, noise removal is an important step in these systems, thereby creating reliable, automated, and potentially low cost systems. Herein, a generalized approach MFNR (Multi-Frame Noise Removal) is used, which is a complete Noise Removal system using KDE (Kernal Density Estimation). Any given type of noise can be removed if its probability density function (PDF) is known. Herein, we extracted the PDF parameters using KDE. Noise removal and detail preservation are not contrary to each other as the case in single-frame noise removal methods. Our results showed practically complete noise removal using MFNR algorithm compared to standard noise removal tools. The Peak Signal to Noise Ratio (PSNR) performance was used as a comparison metric. This paper is an extension to our previous paper where MFNR Algorithm was showed as a general purpose complete noise removal tool for all types of noises
Keywords
Image Noise Removal; Image Enhancement; MFNR; Speckle noise; Median Filter
Subject
Medicine and Pharmacology, Other
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
