IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
A Local Characteristic Image Restoration Based on Convolutional Neural Network
Guohao LYUHui YINXinyan YUSiwei LUO
Author information
JOURNAL FREE ACCESS

2016 Volume E99.D Issue 8 Pages 2190-2193

Details
Abstract

In this letter, a local characteristic image restoration based on convolutional neural network is proposed. In this method, image restoration is considered as a classification problem and images are divided into several sub-blocks. The convolutional neural network is used to extract and classify the local characteristics of image sub-blocks, and the different forms of the regularization constraints are adopted for the different local characteristics. Experiments show that the image restoration results by the regularization method based on local characteristics are superior to those by the traditional regularization methods and this method also has lower computing cost.

Content from these authors
© 2016 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top