Enhancing Single Image Super Resolution: A Galerkin-Type Attention Mechanism-Based Approach with Residual Channel Attention Networks

Engineering

• Feature Extraction 100%
• Single Image 100%
• Attention Mechanism 100%
• Loss Function 50%
• Experimental Result 25%
• Shortfall 25%
• Resolution Image 25%
• Network Operator 25%
• Network Parameter 25%
• High Resolution 25%
• Network Model 25%
• Deep Learning Method 25%
• Sample Pair 25%
• Low Resolution Image 25%
• Original Network 25%

Computer Science

• Attention (Machine Learning) 100%
• Feature Extraction 100%
• Single-Image Super Resolution 100%
• super resolution 75%
• Neural Operator 50%
• Deep Learning Method 25%
• Experimental Result 25%
• Resolution Image 25%
• Low Resolution Image 25%
• Network Parameter 25%