Christian Keimel
Christian Keimel
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Towards an Evaluation of Denoising Algorithms with Respect to Realistic Camera Noise
The development and tuning of denoising algorithms is usually based on readily processed test images that are artificially degraded …
Tamara Seybold
,
Christian Keimel
,
Marion Knopp
,
Walter Stechele
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Hybrid No-Reference Video Quality Metric Based on Multiway PLSR
In real-life applications, no-reference metrics are more useful than full-reference metrics. To design such metrics, we apply data …
Christian Keimel
,
Julian Habigt
,
KlausDiepold
Challenges in crowd-based video quality assessment
Video quality evaluation with subjective testing is both time consuming and expensive. A promising new approach to traditional testing …
Christian Keimel
,
Julian Habigt
,
Klaus Diepold
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BibTeX
DOI
Video quality evaluation in the cloud
Video quality evaluation with subjective testing is both time consuming and expensive. An interesting new approach to traditional …
Christian Keimel
,
Julian Habigt
,
Clemens Horch
,
Klaus Diepold
PDF
BibTeX
DOI
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