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Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image
Tao Zhang,
Ying Fu
*
,
Jun Zhang
*
此作品的通讯作者
计算机学院
信息与电子学院
Beijing Institute of Technology
科研成果
:
期刊稿件
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文章
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同行评审
13
引用 (Scopus)
综述
指纹
指纹
探究 'Deep Guided Attention Network for Joint Denoising and Demosaicing in Real Image' 的科研主题。它们共同构成独一无二的指纹。
分类
加权
按字母排序
Engineering
Joints (Structural Components)
100%
Real Image
100%
Sampling Rate
40%
Green Channel
40%
Supports
20%
Experimental Result
20%
Metrics
20%
Image Signal
20%
State-of-the-Art Method
20%
Deep Learning
20%
Raw Data
20%
Subnetwork
20%
Computer Science
Attention (Machine Learning)
100%
Demosaicing
100%
de-noising
100%
Sampling Rate
28%
Experimental Result
14%
Quantitative Metric
14%
Deep Learning
14%
Synthetic Datasets
14%
Subnetwork
14%
Presented Approach
14%
Inverse Problem
14%
Earth and Planetary Sciences
State of the Art
100%
Signal Processing
100%
Inverse Problem
100%