DocumentCode :
254306
Title :
Lossless compression of DNA Microarray images with Inversion Coder
Author :
Koc, Basar ; Arnavut, Ziya ; Kocak, Huseyin
Author_Institution :
Department of Computer Science, University of Miami, FL, 33146 USA
fYear :
2014
fDate :
15-17 Dec. 2014
Firstpage :
186
Lastpage :
189
Abstract :
DNA Microarray images are used to identify and monitor gene activity, or expression. In a single experiment, a large number of microarray images may be produced. Storage and archiving of these images are an important problem for researchers. Since microarray images can have a wide variety of nearly random patterns with no discernible structures, general entropy coders, e.g. Bzip2, or generic image compressors, e.g. JPEG-LS, do not perform well. In this work, we investigate performance of the inversion coding technique in lossless compression of DNA microarray images. We show that inversion coding outperforms commonly used entropy coders and image compressors.
Keywords :
Biomedical imaging; Compressors; Image coding; BWIC; Block-sorting; DNA Microarray Images; Inversion Ranks; Lossless Compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
High-capacity Optical Networks and Emerging/Enabling Technologies (HONET), 2014 11th Annual
Conference_Location :
Charlotte, NC, USA
Print_ISBN :
978-1-4799-6939-5
Type :
conf
DOI :
10.1109/HONET.2014.7029387
Filename :
7029387
Link To Document :
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