Training and Testing Texture Similarity Metrics for Structurally Lossless Compression
We present a systematic approach for training and testing structural texture similarity metrics (STSIMs) so that they can be used to exploit texture redundancy for structurally lossless image compression. The training and testing is based on a set of image distortions that reflect the characteristic...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 33(2024) vom: 15., Seite 1614-1626
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| 1. Verfasser: |
Zhang, Kaixuan
(VerfasserIn) |
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| Weitere Verfasser: |
Shi, Zhaochen,
Zujovic, Jana,
de Ridder, Huib,
van Egmond, Rene,
Neuhoff, David L,
Pappas, Thrasyvoulos N |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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