Lossy-to-lossless ROI coding of chromosome images using modified SPIHT and EBCOT

Author

Liu, Zhongmin ; Hua, Jianping ; Xiong, Zixiang ; Wu, Qiang ; Castleman, K.

Author_Institution

Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA

fYear

2002

fDate

2002

Firstpage

317

Lastpage

320

Abstract

This paper proposes a lossy-to-lossless region of interest (ROI) compression scheme based on set partitioning in hierarchical trees (SPIHT) and embedded block coding with optimized truncation (EBCOT) (EBCOT is the base of the JPEG-2000 standard). However, SPIHT does not support ROI coding and JPEG-2000 does not allow lossy-to-lossless ROI compression. For our application, we modify the original SPIHT and EBCOT algorithms for lossy-to-lossless ROI coding of both the foreground and the background of chromosome images. Experiments show that our implementations offer better compression performance with exact ROI support than other image coders.

Keywords

biomedical optical imaging; cellular biophysics; data compression; image coding; medical image processing; optical microscopy; EBCOT algorithm; SPIHT algorithm; cancer cytogenetic labs; chromosome karyotyping analysis; chromosome spread images; clinical labs; compression performance; diagnostic procedure; embedded block coding; hierarchical trees; image background; image foreground; important screening procedure; lossy-to-lossless ROI coding; microscope imaging; region of interest coding; set partitioning; Biological cells; Biomedical imaging; Image coding; Image segmentation; Image storage; Medical diagnostic imaging; Performance loss; Space technology; Wavelet domain; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on

Print_ISBN

0-7803-7584-X

Type

conf

DOI

10.1109/ISBI.2002.1029257

Filename

1029257