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
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;
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
DOI :
10.1109/HONET.2014.7029387