Variational computing based images denoising methods by using cellular neural networks
Alexandru Gacsadi, Péter Szolgay · 2009
The paper presents a new variation based image denoising method by using Cellular Neural Networks (CNN). Our proposed method offers better efficiency in terms of image denoising and edge preservation, comparing to other previous CNN methods based on variational model.