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Matos-2010b

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Conference proceedings article

Title Lossless compression of microarray images based on background/foreground separation
Author Luís Matos, António J. R. Neves, Armando J. Pinho
Booktitle Proc. of the 16th Portuguese Conf. on Pattern Recognition, RecPad 2010
Address Vila Real, Portugal
Volume
Pages
Month October
Year 2010
Group
Group (before 2015) Signal Processing Laboratory
Indexed by ISI No
Scope National

Abstract - During the last years, there has been substantial amount of research in microarray technology. The result of a microarray experiment is a pair of grayscale images. These images are characterized by a massive amount of data, due to the high resolution of the scanners. Therefore, the development of efficient compression algorithms is a key aspect in this area. In this paper, we propose a compression algorithm for microarray images based on a background/foreground separation method. Each component (background and foreground) is compressed using 3D finitecontext models and arithmetic coding. The experimental results in a large set of images show that in some cases we can obtain good compression results.

Electronic version here