Abstract
Rapid developments in display technologies, digital printing, imaging sensors, image processing and image transmission are providing new possibilities for creating and conveying visual content. In an age in which images and video are ubiquitous and where mobile, satellite, and three-dimensional (3-D) imaging have become ordinary experiences, quantification of the performance of modern imaging systems requires appropriate approaches. At the end of the imaging chain, a human observer must decide whether images and video are of a satisfactory visual quality. Hence the measurement and modeling of perceived image quality is of crucial importance, not only in visual arts and commercial applications but also in scientific and entertainment environments. Advances in our understanding of the human visual system offer new possibilities for creating visually superior imaging systems and promise more accurate modeling of image quality. As a result, there is a profusion of new research on imaging performance and perceived quality.
Highlights
Rapid developments in display technologies, digital printing, imaging sensors, image processing and image transmission are providing new possibilities for creating and conveying visual content
Quality assessment has been a challenge in the last decade and many issues are still open in this field
The research community has to improve its understanding of the binocular vision mechanisms such as the binocular rivalry, suppression and fusion, in order to be able to predict the perceptual impact of the various impairments
Summary
Rapid developments in display technologies, digital printing, imaging sensors, image processing and image transmission are providing new possibilities for creating and conveying visual content. The measurement and modeling of perceived image quality is of crucial importance, in visual arts and commercial applications and in scientific and entertainment environments. There is a profusion of new research on imaging performance and perceived quality. During the last decade important research efforts have been put to understand and model human visual attention.
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