Detail publikace

Medical Image Denoising by Improved Kuan Filter

BENEŠ, R. ŘÍHA, K.

Originální název

Medical Image Denoising by Improved Kuan Filter

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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).

Klíčová slova

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

Autoři

BENEŠ, R.; ŘÍHA, K.

Rok RIV

2012

Vydáno

1. 4. 2012

ISSN

1804-3119

Periodikum

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

Ročník

10

Číslo

01

Stát

Česká republika

Strany od

43

Strany do

49

Strany počet

7

BibTex

@article{BUT90489,
  author="Radek {Beneš} and Kamil {Říha}",
  title="Medical Image Denoising by Improved Kuan Filter",
  journal="Advances in Electrical and Electronic Engineering - intenetový časopis
(http://advances.utc.sk)",
  year="2012",
  volume="10",
  number="01",
  pages="43--49",
  issn="1804-3119"
}