Title :
Variational computing based images denoising methods by using cellular neural networks
Author :
Gacsádi, Alexandru ; Szolgay, Péter
Author_Institution :
Electron. Dept., Univ. of Oradea, Oradea, Romania
Abstract :
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.
Keywords :
cellular neural nets; image denoising; variational techniques; cellular neural network; edge preservation; image denoising; variational computing; variational model; Additive noise; Cellular networks; Cellular neural networks; Computer networks; Gaussian noise; Image denoising; Image processing; Laboratories; Noise reduction; Partial differential equations; cellular neural networks; image denoising; variational;
Conference_Titel :
Circuit Theory and Design, 2009. ECCTD 2009. European Conference on
Conference_Location :
Antalya
Print_ISBN :
978-1-4244-3896-9
Electronic_ISBN :
978-1-4244-3896-9
DOI :
10.1109/ECCTD.2009.5274972
