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DE-NOISING KIDNEY ULTRASOUND ANALYSIS USING HAAR WAVELETS

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Author(s): MOLDOVANU SIMONA | LUMINITA MORARU

Journal: Journal of Science and Arts
ISSN 1844-9581

Volume: 13;
Issue: 2;
Start page: 365;
Date: 2010;
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Keywords: Ultrasound kidney | Haar wavelet | de-noising.

ABSTRACT
In medical image processing, image de-noising has become a very essential exercise all through diagnose. A novel approach for the kidney ultrasound de-noising at multiple scales using the wavelet frame analysis was presented in this paper. Wavelets give significant information on the evolution of a time series. In particular, due to their localization properties the significant local changes in observed data (both in time and in frequency) can be easily detected by a limited set of their corresponding wavelet coefficients. In this paper we have made some examples by de-noising kidney ultrasound analysis using Haar Wavelets, in the following, showing the effectiveness of this method. We used for de-noising a ultrasound image of healthy kidney and ultrasound image of kidney with Bull’s eye disease and extracted any wavelet coefficients of four test images.
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