Visual quality refers to the subjective evaluation of how well an image or video conveys the intended information or aesthetic appeal to the viewer. This area of research focuses on understanding and improving the factors that affect visual quality, such as resolution, sharpness, color accuracy, contrast, and noise levels. Researchers in this field often develop algorithms and technologies to enhance visual quality in a variety of applications, including digital photography, video streaming, virtual reality, and augmented reality. Additionally, visual quality research often involves psychophysical studies to better understand how humans perceive and interpret visual information. Ultimately, the goal of visual quality research is to create more engaging and immersive visual experiences for users.