vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff0c69060000003b0e000001000600 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.
A. Sharmila Agnal, K. Mala
Mepco Schlenk Engineering College
Lossless image compression, Microarray images, Arithmetic coding, Finite-context modeling
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| Published By :
ICTACT
Published In :
ICTACT Journal on Image and Video Processing
( Volume: 1 , Issue: 4 , Pages: 181-185 )
Date of Publication :
May 2011
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