Blind Image Quality Assessment: Exploring Content Fidelity Perceptibility via Quality Adversarial Learning

Information Science, Computer Science, Artificial Intelligence,
image quality assessment   no reference   quality adversarial learning   content fidelity   deep learning   image restoration   visual perception  

Exploring Content Fidelity Perceptibility via Quality Adversarial Learning Academic Background Image Quality Assessment (IQA) is a fundamental problem in the field of computer vision, aiming to evaluate the fidelity of visual content in images. IQA has significant applications in areas such as image compression and restoration. Traditional IQA meth...