Blind S3D image quality prediction using classical and non-classical receptive field models

Engineering

• Receptive Field 100%
• Field Model 100%
• Evaluator 80%
• Multichannel 40%
• Feature Extraction 20%
• Relative Importance 20%
• Good Performance 20%
• Statistical Feature 20%
• Reference Image 20%
• Anisotropic 20%
• Image Quality Assessment 20%
• Regressors 20%
• Local Binary Pattern 20%
• Image Content 20%
• Perceptual Quality 20%
• Model Combination 20%
• Primary Visual Cortex 20%

Computer Science

• Receptive Field 100%
• Image Quality 100%
• Feature Extraction 20%
• Good Performance 20%
• Reference Image 20%
• Image Content 20%
• Relative Importance 20%
• Image Quality Assessment 20%
• Assessment Model 20%
• Statistical Feature 20%
• Perceptual Quality 20%
• Primary Visual Cortex 20%