eprintid: 4334
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/43/34
datestamp: 2023-11-09 16:16:00
lastmod: 2023-11-09 16:16:00
status_changed: 2023-11-09 15:58:12
type: conference_item
metadata_visibility: show
creators_name: Radzi, F.N.
creators_name: Yahya, N.
title: Evaluation of digital speckle filters for ultrasound images
ispublished: pub
keywords: Diagnosis; Image denoising; Image reconstruction; Mean square error; Medical imaging; Signal receivers; Signal to noise ratio; Speckle; Ultrasonic applications, De-Noise; De-speckling; LMMSE; NLM; PSNR; SRAD; Ultrasound images; USDSAI, Image processing
note: cited By 2; Conference of 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014 ; Conference Date: 28 November 2014 Through 30 November 2014; Conference Code:111756
abstract: Ultrasound (US) images are inherently corrupted by speckle noise causing inaccuracy of medical diagnosis using this technique. Hence, numerous despeckling filters are used to denoise US images. However most of the despeckling techniques cause blurring to the US images. In this work, four filters namely Lee, Wavelet Linear Minimum Mean Square Error (LMMSE), Speckle-reduction Anisotropic Diffusion (SRAD) and Non-local-means (NLM) filters are evaluated in terms of their ability in noise removal. This is done through calculating four performance metrics Peak Signal to Noise Ratio (PSNR), Ultrasound Despeckling Assessment Index (USDSAI), Normalized Variance and Mean Preservation. The experiments were conducted on three different types of images which is simulated noise images, computer generated image and real US images. The evaluation in terms of PSNR, USDSAI, Normalized Variance and Mean Preservation shows that NLM filter is the best filter in all scenarios considering both speckle noise suppression and image restoration however with quite slow processing time. It may not be the best option of filter if speed is the priority during the image processing. Wavelet LMMSE filter is the next best performing filter after NLM filter with faster speed. © 2014 IEEE.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84946688957&doi=10.1109%2fICCSCE.2014.7072741&partnerID=40&md5=ae38f1568c028cb45ddd71dab701aadd
id_number: 10.1109/ICCSCE.2014.7072741
full_text_status: none
publication: Proceedings - 4th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2014
pagerange: 337-342
refereed: TRUE
isbn: 9781479956869
citation:   Radzi, F.N. and Yahya, N.  (2014) Evaluation of digital speckle filters for ultrasound images.  In: UNSPECIFIED.