Expected Distortion
Expected Distortion is the expected value of the distortion measure between a source random variable and its reproduction, quantifying the average loss in fidelity over a probabilistic model of source outputs and a given encoding-decoding scheme.
139
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8.6K
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264
Authors
158
Institutions
Publications per year
2017–2026
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139
Quantizing for minimum distortion
J. Max · IEEE Transactions on Information Theory · 1960 · 2.1K citations
Designing steganographic distortion using directional filters
Vojtěch Holub, Jessica Fridrich · 2012 · 950 citations
Lan Xie, Zhimin Xu, Yixuan Ban et al. · 2017 · 261 citations
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Stanford University
Stanford, United States
13 h-index
31 publications
1.5K citations
University of California, Berkeley
Berkeley, United States
8 h-index
12 publications
546 citations
University of Southern California
Los Angeles, United States
8 h-index
12 publications
400 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
7 h-index
12 publications
659 citations
Technion – Israel Institute of Technology
Haifa, Israel
5 h-index
7 publications
263 citations

McMaster University
Hamilton, Canada
5 h-index
10 publications
230 citations
Microsoft (United States)
Redmond, United States
4 h-index
5 publications
123 citations
Engineering Systems (United States)
Omaha, United States
4 h-index
6 publications
281 citations
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27 publications · 3.5K citations
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Repository · 4 publications · 65 citations
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