JOURNAL ARTICLE

Speckle Noise Reduction in Ultrasound Images by Wavelet Thresholding based on Weighted Variance

S. SudhaG. SureshR. Sukanesh

Year: 2009 Journal:   International Journal of Computer Theory and Engineering Pages: 7-12

Abstract

In medical image processing, image denoising has become a very essential exercise all through the diagnose.Arbitration between the perpetuation of useful diagnostic information and noise suppression must be treasured in medical images.In general we rely on the intervention of a proficient to control the quality of processed images.In certain cases, for instance in Ultrasound images, the noise can restrain information which is valuable for the general practitioner.Consequently medical images are very inconsistent, and it is crucial to operate case to case.This paper presents a wavelet-based thresholding scheme for noise suppression in ultrasound images.Quantitative and qualitative comparisons of the results obtained by the proposed method with the results achieved from the other speckle noise reduction techniques demonstrate its higher performance for speckle reduction

Keywords:
Computer science Thresholding Speckle noise Wavelet Artificial intelligence Noise reduction Speckle pattern Variance reduction Variance (accounting) Noise (video) Pattern recognition (psychology) Reduction (mathematics) Computer vision Image (mathematics) Mathematics

Metrics

198
Cited By
13.02
FWCI (Field Weighted Citation Impact)
19
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology
Advanced Image Processing Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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