基于双残差注意力网络的ICMOS图像去噪算法

Computer Science

• Attention (Machine Learning) 100%
• de-noising 100%
• Image Noise 100%
• Image Sequence 66%
• Captured Image 66%
• Deep Learning 33%
• Network Performance 33%
• Weighted Average 33%
• Convolutional Layer 33%
• Training Model 33%
• Learning Network 33%
• Spatial Correlation 33%
• image denoising 33%
• Structural Feature 33%
• Lower Light Level 33%
• Image Acquisition 33%
• Output Feature Map 33%

Engineering

• Illuminance 100%
• Image Noise 42%
• Image Sequence 28%
• Captured Image 28%
• Denoised Image 28%
• Intensifier 28%
• Couplings 14%
• Natural Image 14%
• Obtains 14%
• Averaging Method 14%
• Optoelectronics 14%
• Deep Learning 14%
• Microchannel 14%
• Intensity Noise 14%
• Main Idea 14%
• Middle Layer 14%
• Convolutional Layer 14%
• Spatial Correlation 14%
• Gauss 14%
• Light Condition 14%
• Loss Function 14%
• Light Level 14%
• Distributed Noise 14%

Physics

• Microchannel Plate 33%