A symmetric forward-inverse reinforcement framework for image reconstruction through scattering media

Keyphrases

• Scattering Media 100%
• Image Reconstruction 100%
• Scattering Processes 100%
• Network Parameters 100%
• Recovery Performance 100%
• Inverse Scattering 100%
• Image Recovery 100%
• Inverse Reinforcement Learning 100%
• Forward Scattering 50%
• Feature Extraction 50%
• Restoration Performance 50%
• Image Recognition 50%
• Noise Level 50%
• Volume Parameters 50%
• Image Retrieval 50%
• Training Strategy 50%
• Challenging Tasks 50%
• Recognition Performance 50%
• Deep Learning 50%
• Extraction Efficiency 50%
• Single Network 50%
• Optical Encryption 50%
• Optical Speckle 50%
• Holographic Display 50%
• Single Neural Network 50%
• Adversarial Loss 50%
• Poor Recovery 50%
• Biomedical Imaging 50%
• Limited Training Data 50%

Computer Science

• Objective Function 100%
• Image Reconstruction 100%
• Network Parameter 66%
• Optical Encryption 33%
• Deep Learning Method 33%
• Image Restoration 33%
• Recognition Performance 33%
• Single Network 33%
• Volume Dataset 33%
• Resulting Process 33%
• Image Retrieval 33%
• Training Data 33%
• Neural Network 33%
• Experimental Result 33%
• Feature Extraction 33%