Detection Thresholds
Detection Thresholds is a metric in error detection that specifies the minimum level of deviation or anomaly required to reliably identify the presence of an error within a system or process.
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2017–2026
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Visibility of wavelet quantization noise
Andrew B. Watson, G. Y. Yang, Joshua A. Solomon et al. · IEEE Transactions on Image Processing · 1997 · 562 citations
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University of North Carolina at Chapel Hill, United States
8 publications · 215 citations
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University of Michigan
Ann Arbor, United States
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65 publications
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Centre National de la Recherche Scientifique
Paris, France
18 h-index
56 publications
4.1K citations
University of Cambridge
Cambridge, United Kingdom
17 h-index
44 publications
2.1K citations
University College London
London, United Kingdom
16 h-index
36 publications
1.2K citations

University of Toronto
Toronto, Canada
15 h-index
43 publications
3.9K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
15 h-index
52 publications
1.5K citations

University of Minnesota
Minneapolis, United States
15 h-index
52 publications
3K citations
University of Washington
Seattle, United States
15 h-index
37 publications
1.5K citations
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JASA · 136 publications · 6.1K citations
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