COMPRESSION OF MICROARRAY IMAGES USING MULTI-BITPLANE METHOD
Journal: ICTACT Journal on Image and Video Processing (IJIVP) (Vol.1, No. 4)Publication Date: 2011-05-01
Authors : A. Sharmila Agnal; K. Mala;
Page : 181-185
Keywords : Lossless image compression; Microarray images; Arithmetic coding; Finite-context modeling;
Abstract
The development of microarray technology has been remarkable, and it is becoming a daily tool in many genomic research laboratories. The widespread adoption of this technology, coupled with the signifi- cant 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 com- pression of microarray images. This method is based on arithmetic coding driven by image-independent multi-bitplane finite-context models. It produces an embedded bitstream that allows progressive, lossy-to-lossless decoding. The compression results obtained by using a large set of images are compared with three image coding stan- dards, namely, lossless JPEG2000, JBIG and JPEG-LS stated in the literature. The proposed method gives better results for all images of the test set.
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