Image Quality: a tool for No-Reference assessment methods

In this work we propose an image quality assessment tool. The tool is composed of different modules that implement several No Reference (NR) metrics (i.e. where the original or ideal image is not available). Different types of image quality attributes can be taken into account by the NR methods, like blurriness, graininess, blockiness, lack of contrast and lack of saturation or colorfulness among others. Our tool aims to give a structured view of a collection of objective metrics that are available for the different distortions within an integrated framework. As each metric corresponds to a single module, our tool can be easily extended to include new metrics or to substitute some of them. The software permits to apply the metrics not only globally but also locally to different regions of interest of the image.