Image and Video Quality Assessment

Image quality metrics fail to accurately represent biological information in fluorescence microscopy

The paper shows that image quality metrics (IQMs) are unreliable for guiding fluorescence microscopy image processing as they do not correlate with downstream biological analysis performance.

State-of-the-art image and video quality assessment with a metric based on an intrinsically nonlinear neural summation model

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

Quality assessment of anatomical MRI images from Generative Adversarial Networks: human assessment and image quality metrics

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.