Image denoising and restoration using Pulse Coupled Neural Networks
Haijiao Wen, Jie Wen · 2013
In this paper, a kind of method for image denoising is proposed which is based on Pulse Coupled Neural Network (PCNN) and conjugate gradient method. Firstly, we compress and add noise on a high resolution image. Then, we remove noise based on PCNN within 5 neighborhoods and 3 neighborhoods. Finally, we use adaptive median filter to modify the image pixels and use the matrix conjugate gradient method to rebuild the image. The computer simulation experiment results show that the method is perfect for images with noise of salt and pepper and has a good ability in keeping the details of images.