期刊
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
卷 E99D, 期 8, 页码 2190-2193出版社
IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG
DOI: 10.1587/transinf.2016EDL8021
关键词
image restoration; L-1 norm; L-2 norm; regularization method; convolutional neural network
资金
- National Nature Science Foundation of China [61273364, 61272354, 61300176, 61473031, 61472029]
- Fundamental Research Funds for the Central Universities [2015JBM036]
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.
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