A comparative study on mother wavelet selection in ultrasound image denoising

The purpose of this work is to evaluate how the choice of mother wavelet function affects ultrasound image denoising. The paper presents a detailed analysis of the properties of each wavelet family highlighting their properties and limitations in ultrasound image filtering applications. The study has been carried out using controlled noise-variance ultrasound images simulated by Field II program in order to compare the effectiveness of filtering. Medical image quality for each wavelet function has been evaluated using two different metrics: the classical peak signal-to-noise ratio and the edges preservation in the filtered image. Significant remarks have been found out from the analysis providing valuable information to obtain best image for ultrasound exams. Finally real high-quality ultrasound images have been processed by the proposed method to validate obtained results.