Title :
Lossless Image Compression Using Burrows Wheeler Transform (Methods and Techniques)
Author :
Syahrul, Elfitrin ; Dubois, Julien ; Vajnovszki, Vincent ; Saidani, Taoufik ; Atri, Mohamed
Author_Institution :
Lab. Electron. Inf. et Image (Le2i), Univ. de Bourgogne
fDate :
Nov. 30 2008-Dec. 3 2008
Abstract :
The burrows-wheeler transform (BWT) is a combinatorial algorithm originally created for text compression such as bzip2, and that has been recently applied to image compression field. This paper focuses on the impact of compression scheme based on the combinatorial transform on high-level resolution medical images. It overviews the original scheme and some improvements that have been develop in post processing of BWT in this context. The performances of these techniques are compared and discussed. Moreover, considerations on the imagepsilas sizes and data formats are also considered.
Keywords :
combinatorial mathematics; data compression; image coding; transforms; burrows wheeler transform; combinatorial algorithm; combinatorial transform; data formats; high-level resolution medical images; image compression; image size; text compression; Biomedical imaging; Compression algorithms; Discrete cosine transforms; Entropy coding; Image coding; Image resolution; Internet; Sorting; Streaming media; Burrows Wheeler; Lossless compression;
Conference_Titel :
Signal Image Technology and Internet Based Systems, 2008. SITIS '08. IEEE International Conference on
Conference_Location :
Bali
Print_ISBN :
978-0-7695-3493-0
DOI :
10.1109/SITIS.2008.40