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  • 1. Engelke, Ulrich
    et al.
    Kaprykowsky, Hagen
    Zepernick, Hans-Jürgen
    Ndjiki-Nya, Patrik
    Visual Attention in Quality Assessment2011In: IEEE signal processing magazine (Print), ISSN 1053-5888, E-ISSN 1558-0792, Vol. 28, no 6, p. 50-59Article in journal (Refereed)
    Abstract [en]

    Perceptual quality metrics are widely deployed in image and video processing systems. These metrics aim to emulate the integral mechanisms of the human visual system (HVS) to correlate well with visual perception of quality. One integral property of the HVS is, however, often neglected: visual attention (VA) [1]. The essential mechanisms associated with VA consist mainly of higher cognitive processing, deployed to reduce the complexity of scene analysis. For this purpose, a subset of the visual information is selected by shifting the focus of attention across the visual scene to the most relevant objects. By neglecting VA, perceptual quality models inherently assume that all objects draw the attention of the viewer to the same degree.

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