A MULTILAYER NEURAL NETWORK FOR IMAGE DEMOSAICKING

被引：0
|
作者：
Wang, Yi-Qing [1 ]
机构：
[1] Ecole Normale Super, CMLA, Cachan, France
来源：
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年
关键词：
image demosaicking; multilayer neural network; distributional invariance; INTERPOLATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The recent revival of interest in artificial neural networks has been fueled by their successful applications in various image processing and computer vision tasks. In this work, we make use of the rotational invariance of the natural image patch distribution and propose a 4 x 4 patch based multilayer neural network for image demosaicking. We show that it does surprisingly well compared to state-of-the-art approaches requiring much larger neighborhoods. An online demo can be found at http://dev.ipol.im/similar to yiqing/ipol_demo/neuaick/.
引用
收藏
页码：1852 / 1856
页数：5
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