Medical image denoising using multistage directional median filter

Author

Maneesha Mohan, M.R. ; Sulochana, C. Helen ; Latha, T.

Author_Institution

St. Xavier´s Catholic Coll. of Eng., Nagercoil, India

fYear

2015

fDate

19-20 March 2015

Firstpage

1

Lastpage

6

Abstract

In modern medical field visual information transmitted in form of digital images is becoming a inevitable method of communication. The choice of denoising algorithm is application dependant and depends on the noise added in image. In this paper multistage median filtering (MMF) is used which is an extension of median filter that uses four directional windows. MMF provides spatial structural characteristics which can preserve edges effectively by differentiating between flat region and edge region using the maximum and minimum median value. Performance is evaluated for MMF using each of the windows and their combination. The indexes Peak Signal to Noise Ratio (PSNR) and Root Mean Square Error (RMSE) demonstrate marked improvement of MMF over wavelet method.

Keywords

image denoising; image restoration; mean square error methods; median filters; medical image processing; MMF; PSNR; RMSE; directional window; edge preservation; medical image denoising; multistage directional median filter; multistage median filtering; peak signal to noise ratio; root mean square error; Filtering; Image edge detection; Maximum likelihood detection; Noise; Noise reduction; Wavelet transforms; Impulse noise; Median filter; Multi-stage median filter; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on

Conference_Location

Nagercoil

Type

conf

DOI

10.1109/ICCPCT.2015.7159261

Filename

7159261