A no-reference image blur metric based on artificial neural network
Image quality assessment plays a very important role in image processing, image analysis and other related fields. During the coding and transporting of images, a lot of perceptual distortions come about. Blurriness is one of the most common perceptual distortions. So it is very meaningful to propose an accurate blur metric which can be applied in many applications such as image analysis and image monitoring.