DE-NOISING KIDNEY ULTRASOUND ANALYSIS USING HAAR WAVELETS

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.