1 INTRODUCTION

2 PROBLEM FORMULATION

3 CHALLENGES FROM REAL-WORLD IMAGES

4 TAXONOMY

5 OVERVIEW OF NON-BLIND SINGLE-IMAGE SUPER-RESOLUTION

6 EXPLICIT DEGRADATION MODELLING

6.1 Classical Degradation Model with External Dataset

6.2 Single Image Modelling with Internal Statistics

7 IMPLICIT DEGRADATION MODELLING

7.1 Learning Data Distribution within External Dataset

7.2 Implicit Modelling with a Single Image: a Future Direction

8 DATASETS AND COMPETITIONS

8.1 Datasets

8.2 Competitions

9 QUANTITATIVE COMPARISON

9.1 Problem: Difficulty of Fair Comparison

9.2 Comparison and Analysis Based on Pre-Trained Models

9.3 Suggestions on Fair Comparison

10 CONCLUSION