Nick Klomp

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A novel no-reference metric that can automatically quantify ringing annoyance in compressed images is presented. In the first step a recently proposed ringing region detection method extracts the regions which are likely to be impaired by ringing artifacts. To quantify ringing annoyance in these detected regions, the visibility of ringing artifacts is(More)
An efficient approach toward a no-reference ringing metric intrinsically exists of two steps: first detecting regions in an image where ringing might occur, and second quantifying the ringing annoyance in these regions. This paper presents a novel approach toward the first step: the automatic detection of <i>regions</i> visually impaired by ringing(More)
A novel approach towards automatic detection of perceived ringing regions is presented. The algorithm takes into account both the physical structure and the human visual perception of the ringing artifacts. All perceived ringing regions are explicitly captured by means of a newly proposed edge detector, followed by an efficient analysis of ringing(More)
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