A case study on entropy-aware block-based linear transforms for lossless image compression

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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Bibliographic Details
Main Authors: Borut Žalik, David Podgorelec, Ivana Kolingerová, Damjan Strnad, Štefan Kohek
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Computer science
Information entropy
Prediction
Inverse distance transform
String transformations
Online Access:https://doi.org/10.1038/s41598-024-79038-2

Internet

https://doi.org/10.1038/s41598-024-79038-2

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