1 Introduction  
2 Subjective Image Quality Assessment  
2.2 Double Stimulus Categorical Rating  
2.3 Ordering by Force-Choice Pair-Wise Comparison  
2.4 Pair-Wise Similarity Judgments  
2.5 Difference Mean Opinion Score (DMOS)  
3 Objective Image Quality Assessment  
3.2 Methods Based on the Models of the Image Source  
3.3 Mean Squared Error (MSE)  
3.4 Visual Information Fidelity (VIF)  
3.5 Feature Similarity Index (FSIM)  
4 Quality Assessment of Color Images  
5 Quality Assessment of High Dynamic Range (HDR) Images  
5.1 Dynamic Range Independent Quality Measure (DRIM)  
5.2 Parameter Specification in the TMQI Algorithm  
6 Subjective Datasets and Performance Measures in Image Quality Assessment  
6.1 Subjective Datasets  
6.2 Performance Measures  
7 Evaluation Results  
7.1 Evaluation of Prediction Performance  
7.2 Evaluation of Computation Time  
9 Conclusion