Title :
Lossless Compression of Microarray Images
Author :
Neves, Antonio J. R. ; Pinho, Armando J.
Author_Institution :
Signal Process. Lab., Aveiro Univ., Portugal
Abstract :
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.
Keywords :
arithmetic codes; biological techniques; code standards; data compression; decoding; image coding; medical image processing; 3D context model; arithmetic coding; embedded bit-stream; image coding standard; microarray image compression; progressive decoding; Arithmetic; Biomedical signal processing; Context modeling; Decoding; Image analysis; Image coding; Image segmentation; Image storage; Propagation losses; Transform coding; Image coding; biomedical image processing; data compression;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312802
