Lossy-to-Lossless Roi Coding of Chromosome Images using Modified Spiht and Ebcot Conference Paper

abstract

• 2002 IEEE. This paper proposes a lossy-to-lossless region of interest (ROI) compression scheme based on set partitioning in hierarchical trees (SPIHT) [1] and embedded block coding with optimized truncation (EBCOT) [2] (EBCOT is the base of the JPEG-2000 [3] 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.

name of conference

• Proceedings IEEE International Symposium on Biomedical Imaging

authors

• Xiong, Zixiang

published proceedings

• Proceedings IEEE International Symposium on Biomedical Imaging

author list (cited authors)

• Liu, Z., Hua, J., Xiong, Z., Wu, Q., & Castleman, K.

citation count

• 13

complete list of authors

• Liu, Zhongmin||Hua, Jianping||Xiong, Zixiang||Wu, Qiang||Castleman, Kenneth

publication date

• January 2002

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging  Journal

Digital Object Identifier (DOI)

• 10.1109/isbi.2002.1029257

International Standard Book Number (ISBN) 10

• 078037584X

start page

• 317

end page

• 320

volume

• 2002-January

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fisbi.2002.1029257