Photographic Heritage Restoration Through Deep Neural Networks

被引：0
|
作者：
Tits, Michael [1 ]
Boukhebouze, Mohamed [1 ]
Ponsard, Christophe [1 ]
机构：
[1] CETIC, Charleroi, Belgium
来源：
ERCIM NEWS | 2020年 / 123期
关键词：
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Recent advances in deep neural networks have enabled great improvements in image restoration, a long-standing problem in image processing. Our research centre has experimented with cutting edge algorithms to address denoising, moire removal, colourisation and super resolution, to restore key images representing the photographic heritage of some of Belgium's top athletes.
引用
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页码：35 / 35
页数：1
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