Quality Assessment of Visual Content
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Preface Contents Acronyms 1 Introduction 1.1 Quality Assessment of Traditional Images 1.2 Quality Assessment of Screen Content Images 1.3 Quality Assessment of 3D-Synthesized Images 1.4 Quality Assessment of Sonar Images 1.5 Quality Assessment of Enhanced Images 1.6 Quality Assessment of Light-Field Images 1.7 Quality Assessment of Virtual Reality Images 1.8 Quality Assessment of Super-Resolution Images References 2 Quality Assessment of Screen Content Images 2.1 Introduction 2.2 Methodology 2.2.1 Full-Reference QA of Screen Content Images 2.2.2 Reduced-Reference QA of Screen Content Images 2.2.3 No-Reference QA of Screen Content Images 2.3 Comparison and Analysis of Algorithm Performance 2.3.1 Testing Database 2.3.2 Performance Comparison and Analysis 2.4 Conclusion References 3 Quality Assessment of 3D-Synthesized Images 3.1 Introduction 3.2 Methodology 3.2.1 NSS-Based NR 3D-Synthesized Image QA 3.2.2 Transform Domain-Based NR 3D-Synthesized Image QA 3.2.3 Structure Variation-Based NR 3D-Synthesized Image QA 3.3 Comparison and Analysis of Algorithm Performance 3.3.1 DIBR-Synthesized Image Database 3.3.2 Performance Comparison and Analysis 3.4 Conclusion References 4 Quality Assessment of Sonar Images 4.1 Introduction 4.2 Methodology 4.2.1 Full-Reference QA of Sonar Images 4.2.2 Semi-Reference QA of Sonar Images 4.2.3 Partial-Reference QA of Sonar Images 4.2.4 No-Reference QA of Sonar Images 4.3 Comparison and Analysis of Algorithm Performance 4.3.1 The Sonar Image Database 4.3.2 Performance Comparison and Analysis 4.4 Conclusion References 5 Quality Assessment of Enhanced Images 5.1 Introduction 5.2 Methodology 5.2.1 Database Set-Up 5.2.2 Objective QA of Enhanced Images 5.2.3 Enhanced Image QA Based on the Enhancement Technology 5.3 Comparison and Analysis of Algorithm Performance 5.3.1 CCID 2014 Database 5.3.2 Performance Comparison and Analysis 5.4 Conclusion References 6 Quality Assessment of Light-Field Image 6.1 Introduction 6.2 Methodology 6.2.1 FR QA of LF Images 6.2.2 RR QA of LF Images 6.2.3 NR LF Image QA Based on Spatial-Angular Measurement 6.2.4 Tensor Oriented NR LF Image QA 6.3 Comparison and Analysis of Algorithm Performance 6.3.1 Elaborated SMART Database 6.3.2 Performance Comparison and Analysis 6.4 Conclusion References 7 Quality Assessment of Virtual Reality Images 7.1 Introduction 7.2 Methodology 7.2.1 Subjective QA of VR Images 7.2.2 Objective QA of VR Images 7.2.3 Subjective-Objective QA of VR Images 7.2.4 Cross-Reference Stitching QA 7.3 Comparison and Analysis of Algorithm Performance 7.3.1 Performance Comparison and Analysis 7.4 Conclusion References 8 Quality Assessment of Super-Resolution Images 8.1 Introduction 8.2 Methodology 8.2.1 Creation of the QA Database for SR Image 8.2.2 QA of SR Image Based on Deep Learning 8.2.3 Natural Statistics-Based SR Image QA 8.3 Comparison and Analysis of Algorithm Performance 8.3.1 Performance Comparison and Analysis 8.4 Conclusion References
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