Enhancing Underwater Imagery Using Generative Adversarial Networks

Keyphrases

• Accuracy Improvement 50%
• Acoustics 50%
• Autonomous Underwater Vehicle 100%
• Color Distortion 50%
• Distorted Images 50%
• Diver Tracking 50%
• Generative Adversarial Networks 100%
• Increased Reliability 50%
• Increased Safety 50%
• Information Content 50%
• Intelligent Decision Support System 50%
• Light Absorption 50%
• Light Refraction 50%
• Noisy Image 50%
• Non-intrusive 50%
• Poor Performance 50%
• Sense Modalities 50%
• Shallow Depth 50%
• Suspended Particles 50%
• Tracking Algorithm 50%
• Underwater Image Restoration 50%
• Underwater Imagery 100%
• Underwater Robot 50%
• Underwater Scene 50%
• Visual Data 50%
• Visual Perception 50%
• Visual Sensing 50%
• Visually Guided 50%

Computer Science

• Distorted Image 50%
• Generative Adversarial Networks 100%
• Image Restoration 50%
• Information Content 50%
• Intelligent Decision Making 50%
• Qualitative Data 50%
• Quantitative Data 50%
• Tracking Algorithm 50%
• underwater robot 50%

Engineering

• Autonomous Underwater Vehicle 100%
• Distorted Image 50%
• Image Restoration 50%
• Information Content 50%
• Noisy Image 50%
• Robot 50%
• Tracking Algorithm 50%