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Matos-2011e

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Conference proceedings article

Title Lossy-to-lossless compression of microarray images using expectation pixel values
Author Luís Matos, António J. R. Neves, Armando J. Pinho
Booktitle Proc. of the 17th Portuguese Conf. on Pattern Recognition, RecPad 2011
Address Porto, Portugal
Volume
Pages
Month October
Year 2011
Group
Group (before 2015) Signal Processing Laboratory
Indexed by ISI No
Scope National

Abstract - This manuscript presents a lossless bitplane-based method for compression of microarray images based on expectation pixel values. The method compress each image on a bitplane basis, from the most to the least significant bitplanes, based on arithmetic coding driven by a 3D finite-context models and Expectation based Bitplane Coding (EBC). It produces an embedded bitstream that allows progressive decoding of the original image. The EBC is a technique where we can select future pixels to create the context template. EBC alone is not effective to compress microarray images, therefore, we decided to use an hybrid approach using EBC , intra-plane and inter-plane to create a more suitable context template. EBC is more efficient for compressing the least significant bitplanes where the expected values are close to the pixels true values. The results obtained with the proposed method are slightly better in some cases however, generally, they are very similar.

Electronic version here