Publication detail

Medical Image Denoising by Improved Kuan Filter

BENEŠ, R. ŘÍHA, K.

Original Title

Medical Image Denoising by Improved Kuan Filter

English Title

Medical Image Denoising by Improved Kuan Filter

Type

journal article - other

Language

en

Original Abstract

This paper focuses on the issue of speckle noise and its suppression. Firstly, the multiplicative speckle noise model and its mathematical formulation are introduced. Then, certain de-noising methods are described together with possible improvements. On their basis, an improvement of Kuan method (KuanS) is proposed. Performance of proposed KuanS method is tested on real ultrasound images and synthetic images corrupted with speckle noise. PSNR, edge preservation, standard deviation of homogenous regions and SIR are used for the evaluation of quality of noise suppression. Performance of the KuanS is compared with other methods. The KuanS method achieves satisfactory results even in comparison with more complex methods (SRAD, wavelet based noise suppression).

English abstract

This paper focuses on the issue of speckle noise and its suppression. Firstly, the multiplicative speckle noise model and its mathematical formulation are introduced. Then, certain de-noising methods are described together with possible improvements. On their basis, an improvement of Kuan method (KuanS) is proposed. Performance of proposed KuanS method is tested on real ultrasound images and synthetic images corrupted with speckle noise. PSNR, edge preservation, standard deviation of homogenous regions and SIR are used for the evaluation of quality of noise suppression. Performance of the KuanS is compared with other methods. The KuanS method achieves satisfactory results even in comparison with more complex methods (SRAD, wavelet based noise suppression).

Keywords

Noise, speckle noise, image de-noising, Kuan filter, PSNR, standard deviation

RIV year

2012

Released

01.04.2012

ISBN

1804-3119

Periodical

Advances in Electrical and Electronic Engineering - intenetový časopis (http://advances.utc.sk)

Year of study

10

Number

01

State

CZ

Pages from

43

Pages to

49

Pages count

7

Documents

BibTex


@article{BUT90489,
  author="Radek {Beneš} and Kamil {Říha}",
  title="Medical Image Denoising by Improved Kuan Filter",
  annote="This paper focuses on the issue of speckle noise and its suppression. Firstly, the multiplicative speckle noise model and its mathematical formulation are introduced. Then, certain de-noising methods are described together with possible improvements. On their basis, an improvement of Kuan method (KuanS) is proposed. Performance of proposed KuanS method is tested on real ultrasound images and synthetic images corrupted with speckle noise. PSNR, edge preservation, standard deviation of homogenous regions and SIR are used for the evaluation of quality of noise suppression. Performance of the KuanS is compared with other methods. The KuanS method achieves satisfactory results even in comparison with more complex methods (SRAD, wavelet based noise suppression).",
  chapter="90489",
  number="01",
  volume="10",
  year="2012",
  month="april",
  pages="43--49",
  type="journal article - other"
}