Title :
Compression of M-FISH images using 3-D ESCOT
Author :
Xu, Jizheng ; Xion, Zixiang ; Wu, Qiang ; Li, Shzpeng
Author_Institution :
Microsoft Res., Beijing, China
Abstract :
This paper introduces a lossy to lossless coding technique for compression of multitarget fluorescence in situ hybridization (M-FISH) images using 3-D embedded subband coding with optimal truncation (3-D ESCOT) (Xu et al.). With a lifting-based integer wavelet decomposition, 3-D ESCOT achieves about twice as much compression as Lempel-Ziv (WinZip) coding-the current method for archiving M-FISH images. The lossy coding performance of 3-D ESCOT is significantly better than that of 2-D based JPEG-2000
Keywords :
cellular biophysics; data compression; fluorescence; image coding; medical image processing; molecular biophysics; transform coding; wavelet transforms; 3-D ESCOT; 3-D embedded subband coding with optimal truncation; M-FISH images; anomaly detection; chromosomal rearrangements; compression; human cells; karyotyping performance; lifting-based integer wavelet decomposition; lossy coding performance; lossy to lossless coding technique; mammalian cells; molecular cytogenetic analysis; multitarget fluorescence in situ hybridization images; Biological cells; Cancer; Digital images; Fluorescence; Humans; Image coding; Marine animals; Optical filters; Optical microscopy; Performance loss;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958436
