Title :
Applying a Wavelet Neural Network to Impulse Noise Removal
Author :
Cai, Nian ; Cheng, Jian ; Yang, Jie
Author_Institution :
Inst. of Image Process. & Pattern Recognition, Shanghai Jiao Tong Univ.
Abstract :
A wavelet neural network is applied to impulse noise removal in digital images. After the position of the noise is detected by the wavelet neural network, the proposed method is able to effectively eliminate the impulse noise while preserving more fine details. Visual evaluation and detailed statistical analysis are employed to compare the method with traditional median filtering. The results indicate the superiority of the proposed method
Keywords :
filtering theory; image denoising; impulse noise; neural nets; statistical analysis; wavelet transforms; detailed statistical analysis; digital images; impulse noise removal; traditional median filtering; visual evaluation; wavelet neural network; Neural networks;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614741
