NOISE REMOVAL IN DIGITAL IMAGES BASED ON A WAVELET NEURAL NETWORK
基于小波神经网络的图像去噪算法

Noise is inevitably involved in biomedical images when imaging. It is an important issue to remove the noise. Due to the excellent local feature and the adaptive self-learning ability, a wavelet neural network was introduced in the field of noise removal in biomedical images. Several techniques were used to optimize the learning process of the network and a novel denoising algorithm was proposed. The experimental results showed that the algorithm was superior to traditional median filtering in the field of noise removal in biomedical images. The results also indicated the robustness of the proposed approach. The proposed algorithm can preserve fine details of the images and has excellent fidelity.