CNN Denoising for Medical Image Based on Wavelet Domain
Lanjuan Li, Jingyang Wu, Xinyu Jin · 2018
Image denoising is one of the most important directions in image processing. Medical images are often affected by noise and interference from the environment and equipment during acquisition, conversion, and transmission, resulting in degradation. This paper mainly introduces a new convolutional neural network structure for medical image denoising-deep neural network based on wavelet domain (deep wavelet denoising net, DWDN). Our DWDN model exhibits high effectiveness in general medical image denoising tasks and is more excellent in the details of image.