In this paper a framework for Image Quality Assessment (IQA) is introduced based on the properties of Receptive Fields (RFs) which are the primary mechanism for detection of visua...
Most present day no-reference/blind image quality assessment (NR IQA) algorithms are distortion specific - i.e., they assume that the distortion affecting the image is known. Here...
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
We study the problem of automatic “reduced reference” image quality assessment algorithms from the point of view of image information change. Algorithms that measure differenc...
A number of image quality metrics are based on psychophysical models of the human visual system. We propose a new framework for image quality assessment, gathering three indexes de...
Roland Brémond, Jean-Philippe Tarel, Eric Dumont...