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Alers, H. (author), Redi, J. (author), Liu, H. (author), Heynderickx, I. (author)
Manufacturers of commercial display devices continuously try to improve the perceived image quality of their products. By applying postprocessing techniques on the incoming signal, they aim to enhance the quality level perceived by the viewer. These postprocessing techniques are usually applied globally over the whole image but may cause side...
journal article 2013
document
Liu, H. (author), Koonen, J. (author), Fuderer, M. (author), Heynderickx, I. (author)
In current magnetic resonance (MR) imaging systems, design choices are confronted with a trade-off between structured (i.e. artifacts) and unstructured noise. The impact of both types of noise on perceived image quality, however, is so far unknown, while this knowledge would be highly beneficial for further improvement of MR imaging systems. In...
conference paper 2012
document
Liu, H. (author), Heynderickx, I. (author)
Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the noreference (NR) type, which implies that quality prediction is based on the distorted image only. Recent...
journal article 2011
document
Redi, J.A. (author), Liu, H. (author), Zunino, R. (author), Heynderickx, I.E.J.R. (author)
Several attempts to integrate visual saliency information in quality metrics are described in literature, albeit with contradictory results. The way saliency is integrated in quality metrics should reflect the mechanisms underlying the interaction between image quality assessment and visual attention. This interaction is actually two-fold: (1)...
journal article 2011
document
Liu, H. (author), Redi, J.A. (author), Alers, H. (author), Zunino, R. (author), Heynderickx, I.E.J.R. (author)
Reliably assessing overall quality of JPEG/JPEG2000 coded images without having the original image as a reference is still challenging, mainly due to our limited understanding of how humans combine the various perceived artifacts to an overall quality judgment. A known approach to avoid the explicit simulation of human assessment of overall...
journal article 2011
document
Liu, H. (author), Heynderickx, I. (author)
Developing an objective metric, which automatically quantifies perceived image quality degradation induced by blur, is highly beneficial for current digital imaging systems. In many applications, these objective metrics need to be of the noreference (NR) type, which implies that quality prediction is based on the distorted image only. Recent...
conference paper 2010
document
Alers, H. (author), Liu, H. (author), Redi, J. (author), Heynderickx, I. (author)
Manufacturers of commercial display devices continuously try to improve the perceived image quality of their products. By applying some post processing techniques on the incoming image signal, they aim to enhance the quality level perceived by the viewer. Applying such techniques may cause side effects on different portions of the processed...
conference paper 2010
document
Redi, J. (author), Liu, H. (author), Alers, H. (author), Zunino, R. (author), Heynderickx, I. (author)
conference paper 2010
document
Liu, H. (author), Heynderickx, I. (author)
A novel no-reference blockiness metric that provides a quantitative measure of blocking annoyance in block-based DCT coding is presented. The metric incorporates properties of the human visual system (HVS) to improve its reliability, while the additional cost introduced by the HVS is minimized to ensure its use for real-time processing. This is...
journal article 2009
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