%0 Journal Article
%T NOISE REMOVAL IN DIGITAL IMAGES BASED ON A WAVELET NEURAL NETWORK<br>基于小波神经网络的图像去噪算法
%A 蔡念
%A 胡匡祜
%A 李防震
%A 苏万芳
%J 生物物理学报
%D 2005
%I 
%X 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.
%K Wavelet neural network
%K Noise removal
%K Median filtering
%K Salt &
%K pepper noise
%K Fidelity<br>小波神经网络
%K 图像去噪
%K 中值滤波
%K 椒盐噪声
%K 保真度
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=1A9A47A7C01804E2&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=46CB27789995047D&eid=0D0D661F0B316AD5&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=3&reference_num=10