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Lossless Compression of Microarray Images

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2 Author(s)
Neves, A.J.R. ; Signal Process. Lab., Aveiro Univ., Portugal ; Pinho, A.J.

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