Open AccessSpeckle Noise Reduction in B-mode Ultrasound Imaging
Author(s) -
Arun Bhatia
Publication year - 2011
Publication title -
international journal of electronic signal and systems
Language(s) - English
Resource type - Journals
ISSN - 2231-5969
DOI - 10.47893/ijess.2011.1010
Subject(s) - speckle noise , speckle pattern , thresholding , artificial intelligence , wavelet , computer science , noise reduction , computer vision , ultrasound , noise (video) , transformation (genetics) , pattern recognition (psychology) , image (mathematics) , medicine , radiology , biochemistry , chemistry , gene
Ultrasound is a widely used and safe medical diagnostic technique, due to low cost and capability of forming real time imaging. The usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. In this paper we make use of daubechies wavelet transformation, Wiener and employing an adaptive thresholding technique in order to improve the performance of this denosing approach the log transformed observation is separated into two images. The summation of these two images constructs the despeckled image.