Sharpening of Blurred Images with Multiple Processes by Using Cellular Neural Networks
Kodai Kitamura, Yoko Uwate, Yoshifumi Nishio · Journal of Signal Processing · 2020
Cellular neural networks (CNNs) were developed by Chua and Yang in 1988. The CNN concept was inspired from the architecture of cellular automata and neural networks. The performance of a CNN depends on template parameters. CNNs can be applied to various types of image processing by changing the template. However, little has been reported on the sharpening of blurred images by using a CNN. In this study, we propose an algorithm to sharpen blurred images. Then, we apply the proposed algorithm to the input images and investigate the performance by simulations.