Noise Reduction of Ultrasound Image Using Wiener filtering and Haar Wavelet Transform Techniques

Abstract

Background: Noise reduction of the medical image is an important task to improve the medical image quality that may be helpful in medical diagnosis. Methods: The proposed system performed into two steps: First; application of Wiener filtering technique as a preprocessing step to reduce amount of noise present in ultrasound image of human kidney, Second; implementation of Haar wavelet transform for denoising the resulted image from the first step. Results: The results of noise isolation of ultrasound image after implementation of Wiener filtering and wavelet transform were presented. also; some statistical results of these images were recorded. Conclusions: We deduced that Wiener filtering and Haar wavelet techniques are efficient and powerful in reducing the noises form ultrasound images. Matlab package (version 7.3) was used in writing the programming codes of this study.