Transform-domain Quantization
Transform-Domain Quantization is a quantization technique that operates on signal representations in a transformed domain—such as frequency or wavelet space—rather than the spatial or time domain, thereby exploiting energy compaction properties to achieve more efficient and perceptually optimized discretization of image data.
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105
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2017–2026
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Visually optimal DCT quantization matrices for individual images
Andrew B. Watson · 2002 · 184 citations · Full text
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Indian Institute of Technology Hyderabad, India
2 publications · 140 citations
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École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
3 h-index
6 publications
94 citations
Stanford University
Stanford, United States
3 h-index
8 publications
290 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
2 h-index
4 publications
132 citations
The University of Texas at Austin
Austin, United States
2 h-index
6 publications
420 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
3 publications
232 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
3 publications
44 citations

Hanyang University
Seoul, South Korea
2 h-index
2 publications
83 citations
Samsung (South Korea)
Seoul, South Korea
2 h-index
3 publications
54 citations
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7 publications · 279 citations
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3 publications · 199 citations
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2 publications · 44 citations
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2 publications · 74 citations
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2 publications · 46 citations
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