Referenced Items are not available for this document.
Microarray experiments are characterized by a massive amount of data in the form of images. Since the interest in microarray technology is growing nowadays, a large number of microarray images is currently being produced. In this paper, we present a lossless method for efficiently compress microarray images based on arithmetic coding using a 3D context model. Our method produces an embedded bit-stream that allows progressive decoding. We present the compression results using a large set of images and compare these results with three image coding standards, namely, lossless JPEG2000, JBIG and JPEG-LS. We also compare our results with the two most recent specialized methods, using a common set of images. The proposed method gives better results for all images of the test set
Published in:
Image Processing, 2006 IEEE International Conference on
Date of Conference: 8-11 Oct. 2006
- Page(s):
- 2505 - 2508
- ISSN :
- 1522-4880
- E-ISBN :
- 1-4244-0481-9
- Print ISBN:
- 1-4244-0480-0
- INSPEC Accession Number:
- 9461857
- Conference Location :
- Atlanta, GA
- Digital Object Identifier :
- 10.1109/ICIP.2006.312802
- Product Type:
- Conference Publications
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