DocumentCode :
2049081
Title :
A Review of DNA Microarray Image Compression
Author :
Hernandez-Cabronero, Miguel ; Blanes, Ian ; Serra-Sagristà, Joan ; Marcellin, Michael W.
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain
fYear :
2011
fDate :
21-24 June 2011
Firstpage :
139
Lastpage :
147
Abstract :
We review the state of the art in DNA micro array image compression. First, we describe the most relevant approaches published in the literature and classify them according to the stage of the typical image compression process where each approach makes its contribution. We then summarize the compression results reported for these specific-specific image compression schemes. In a set of experiments conducted for this paper, we obtain results for several popular image coding techniques, including the most recent coding standards. Prediction-based schemes CALIC and JPEG-LS, and JPEG2000 using zero wavelet decomposition levels are the best performing standard compressors, but are all outperformed by the best micro array-specific technique, Battiato´s CNN-based scheme.
Keywords :
DNA; image coding; CALIC; DNA microarray image compression; JPEG-LS; JPEG2000; image coding standard; prediction-based scheme; standard compressor; zero wavelet decomposition levels; DNA; Data mining; Image coding; Image segmentation; Loss measurement; Transforms; JPEG2000; image coding standards; microarray image compression; microarray images;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression, Communications and Processing (CCP), 2011 First International Conference on
Conference_Location :
Palinuro
Print_ISBN :
978-1-4577-1458-0
Electronic_ISBN :
978-0-7695-4528-8
Type :
conf
DOI :
10.1109/CCP.2011.21
Filename :
6061015
Link To Document :
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