Estimation of distortion sensitivity for visual quality prediction using a convolutional neural network

Mathematics

• Image Quality 89%
• Vision 85%
• Neural Networks 78%
• Prediction 66%
• Quality Measures 40%
• Communication Systems 34%
• Performance 33%
• Integrate 29%
• Weighting 28%
• Benchmark 27%
• Relevance 26%
• Computational Complexity 25%
• Model 18%
• Concepts 14%

Business & Economics

• Neural Networks 100%
• Prediction 68%
• Compensation Method 27%
• Computational Complexity 19%
• Communication Systems 18%
• Weighting 16%
• Correlates 15%
• Data Base 15%
• Performance 12%
• Benchmark 12%

Engineering & Materials Science

• Image quality 77%
• Convolutional neural networks 75%
• Deep neural networks 40%
• Computational complexity 33%
• Communication systems 33%
• Compensation and Redress 31%