A case study on entropy-aware block-based linear transforms for lossless image compression
Abstract Data compression algorithms tend to reduce information entropy, which is crucial, especially in the case of images, as they are data intensive. In this regard, lossless image data compression is especially challenging. Many popular lossless compression methods incorporate predictions and va...
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| Main Authors: | Borut Žalik, David Podgorelec, Ivana Kolingerová, Damjan Strnad, Štefan Kohek |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-11-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-79038-2 |
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