DocumentCode
1620916
Title
Study of Marrow Cell Image Compression Based on Quantization Threshold
Author
Zhong Zheng-hui ; Sun Wan-rong ; Zhang Xiao-Jing
Author_Institution
Xidian Univ., Xi´an
fYear
2006
Firstpage
3425
Lastpage
3428
Abstract
In this paper, six integer wavelet transforms are compared on marrow cell image energy distribution and their percentage of zero coefficients in every subband for higher performances of marrow cell image compression. A new method of quantization threshold is applied to EZW coding. The experiment results show that this approach can increase the number of zerotrees and improves marrow cell images compression
Keywords
cellular biophysics; image coding; medical image processing; wavelet transforms; EZW coding; energy distribution; integer wavelet transforms; marrow cell image compression; quantization threshold; zerotrees; Biomedical engineering; Decision support systems; Entropy; Frequency; Image analysis; Image coding; Quantization; Sun; Wavelet coefficients; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
Conference_Location
Shanghai
Print_ISBN
0-7803-8741-4
Type
conf
DOI
10.1109/IEMBS.2005.1617214
Filename
1617214
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