0000000001158884

AUTHOR

Vajnovszki Vincent

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Combinatorial Transforms : Application in Lossless Image Compression

2011

International audience; Common image compression standards are usually based on frequency transform such as Discrete Cosine Transform. We present a different approach for lossless image compression, which is based on a combinatorial transform. The main transform is Burrows Wheeler Transform (BWT) which tends to reorder symbols according to their following context. It becomes one of promising compression approach based on context modeling. BWT was initially applied for text compression software such as BZIP2 nevertheless it has been recently applied to the image compression field. Compression schemes based on the Burrows Wheeler Transform have been usually lossless; therefore we implement th…

Burrows Wheeler transformACM[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsData_CODINGANDINFORMATIONTHEORY[ INFO.INFO-ES ] Computer Science [cs]/Embedded Systemsimage compressioncombinatorial[INFO.INFO-ES] Computer Science [cs]/Embedded Systems
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