Please use this identifier to cite or link to this item:
http://hdl.handle.net/10773/37050
Title: | Lossless compression of microarray images using image-dependent finite-context models |
Author: | Neves, António J. R. Pinho, Armando J. |
Keywords: | Arithmetic coding Finite-context modeling Image coding standards Lossless image compression Microarray images |
Issue Date: | Feb-2009 |
Publisher: | IEEE |
Abstract: | The use of microarray expression data in state-of-the-art biology has been well established. The widespread adoption of this technology, coupled with the significant volume of data generated per experiment, in the form of images, has led to significant challenges in storage and query retrieval. In this paper, we present a lossless bitplane-based method for efficient compression of microarray images. This method is based on arithmetic coding driven by image-dependent multibitplane finite-context models. It produces an embedded bitstream that allows progressive, lossy-to-lossless decoding. We compare the compression efficiency of the proposed method with three image compression standards (JPEG2000, JPEG-LS, and JBIG) and also with the two most recent specialized methods for microarray image coding. The proposed method gives better results for all images of the test sets and confirms the effectiveness of bitplane-based methods and finite-context modeling for the lossless compression of microarray images. |
Peer review: | yes |
URI: | http://hdl.handle.net/10773/37050 |
DOI: | 10.1109/TMI.2008.929095 |
ISSN: | 0278-0062 |
Appears in Collections: | IEETA - Artigos |
Files in This Item:
File | Description | Size | Format | |
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Lossless_Compression_of_Microarray_Images_Using_Image-Dependent_Finite-Context_Models.pdf | 678.47 kB | Adobe PDF |
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