Ultrasonic speckle denoising using the combination of wavelet transform and wiener filter

Udomhunsakul, Somkait; Wongsita, Pichet

Ultrasonic speckle denoising using the combination of wavelet transform and wiener filter

Author(s)

Udomhunsakul, Somkait

Wongsita, Pichet

Date Issued

December 1, 2004

Type

Conference Paper

Abstract

Ultrasonic images are inherently affected by multiplicative noise, which is due to the coherent wave interference in tissue. This paper presents a method for ultrasonic speckle denoising using the combination of wavelet transform and wiener filter to effectively reduce the speckle noise while preseving the resolvable details. In our method, the steps invloved are finding the 2D discrete wavelet transform of the logarithmic image. Then, the weiner filter is used to apply over areas in each detail subband (HH,HL and LH). Next the inverse wavelet transfrom is computed and applying the inverse logarithm. To evaluate the denoising performance, mean square error (MSE), signal to mean square error (S/mse) and edge preservation (β) are used. From the experimantal results, we found that our approach leads to an effective method for ultrasonic speckle denoising. © 2004 IEEE.

Citation

Second Asian and Pacific Rim Symposium on Biophotonics Proceedings Apbp 2004, 195-196, 2004