Ultrasonic Liver Image Denoising Based on A Hybrid Threshold Method

The objective of this paper is to investigate a hybrid threshold denoising algorithm based on wavelet transform for the ultrasonic liver image. A novel hybrid threshold function first is discussed. The hybrid threshold denoising algorithm based on the wavelet transform is then performed for ultrasound image of the liver. Only is one parameter selected in the proposed image denoising algorithm. Several metrics such as correlation coefficient (CoC), edge preservation index (EPI), and structural similarity index (SSI) are measured to quantify the denoised results of ultrasound liver image. Experiments show that the wavelet-based hybrid threshold denoising algorithm is effective and feasible.