Existing perceptual models of audio quality, such as PEAQ, were designed to measure audio codec performance and are not well suited to evaluation of audio source separation algorit...
Brendan Fox, Andrew T. Sabin, Bryan Pardo, Alec Zo...
It is often desirable to evaluate an image based on its quality. For many computer vision applications, a perceptually meaningful measure is the most relevant for evaluation; howe...
Classical objective criteria evaluate speech quality using one quantity which embed all possible kind of degradation. For speech denoising applications, there is a great need to d...
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
In this paper, we present a no-reference blur metric for images and video. The blur metric is based on the analysis of the spread of the edges in an image. Its perceptual signific...