Image and Video Quality Assessment

This paper introduces an image and video quality assessment metric based on an intrinsically nonlinear neural summation model, showing competitive performance across multiple databases.

This study evaluates GAN-generated brain MRI images using human ratings and image quality metrics, finding that human experts detect quality changes better than most metrics, except a deep QA model trained on human data.