Quality assessment is a very challenging problem and will still as is since it is difficult to define universal tools. So, subjective assessment is one adapted way but it is tedious, time consuming and needs normalized room. Objective metrics can be with reference, with reduced reference and with no-reference. This paper presents a study carried out for the development of a no-reference objective metric dedicated to the quality evaluation of display devices. Initially, a
subjective study has been devoted to this problem by asking a representative panel (15 male and 15 female; 10 young
adults, 10 adults and 10 seniors) to answer questions regarding their perception of several criteria for quality assessment.
These quality factors were hue, saturation, contrast and texture. This aims to define the importance of perceptual criteria
in the human judgment of quality. Following the study, the factors that impact the quality evaluation of display devices have been proposed. The development of a no-reference objective metric has been performed by using statistical tools allowing to separate the important axes. This no-reference metric based on perceptual criteria by integrating some specificities of the human visual system (HVS) has a high correlation with the subjective data.
Nowadays, the visual information is widely used for several applications such as medical diagnosis, video-surveillance...
This information needs to be displayed in order to exploit the contained data. So, the display devices market is growing very
quickly and the used technologies are different from a manufacturer to another. This leads to a need of a comparison between displays of different technologies but also ones from the same technology. In this paper, we describe two methodologies that we have used, for a subjective cross-media evaluation and a single media evaluation, in the context of image quality for display reproduction. We compare the results obtained by the two methodologies in order to determine if it is possible to replace a cross-media evaluation by a single media evaluation. We describe how we have used, the characterization of a display in order to simulate a display color reproduction on another one. We explain the different statistical non-parametric tests that we have used, to analyze the results. And we discuss about the results obtained for the two cases, and the possibility to replace a cross-media evaluation by a single-media evaluation.
This paper deals with image quality assessment. This field plays nowadays an important role in various image
processing applications. Number of objective image quality metrics, that correlate or not, with the subjective
quality have been developed during the last decade. Two categories of metrics can be distinguished, the first with
full-reference and the second with no-reference. Full-reference metric tries to evaluate the distortion introduced
to an image with regards to the reference. No-reference approach attempts to model the judgment of image
quality in a blind way. Unfortunately, the universal image quality model is not on the horizon and empirical
models established on psychophysical experimentation are generally used. In this paper, we focus only on the
second category to evaluate the quality of color reproduction where a blind metric, based on human visual system
modeling is introduced. The objective results are validated by single-media and cross-media subjective tests.