Medical image compression using integer wavelet transforms

B. Ramakrishnan; N. Sriraam

doi:10.4018/978-1-59140-982-3.ch036

Medical image compression using integer wavelet transforms

B. Ramakrishnan, N. Sriraam

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

In this chapter, we have focused on compression of medical images using integer wavelet transforms. Lifting transforms such as S, TS, S+P(B), S+P(C), 5/3, 2+@, 2, 9/7-M and 9/7-F transforms are used to evaluate the performances of lossless and lossy compression. Four medical images, namely, MRI, CT, ultrasound, and angiograms are used as test data sets. It is found from the experiments that, among the different transforms, the 9/7-M wavelet transform is identified as the optimal method for lossless and lossy compression of medical images.

Original language	English
Title of host publication	Handbook of Research on Informatics in Healthcare and Biomedicine
Publisher	IGI Global Publishing
Pages	277-286
Number of pages	10
ISBN (Print)	9781591409823
DOIs	https://doi.org/10.4018/978-1-59140-982-3.ch036
Publication status	Published - 01-12-2006
Externally published	Yes

All Science Journal Classification (ASJC) codes

Agricultural and Biological Sciences(all)

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10.4018/978-1-59140-982-3.ch036

Cite this

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abstract = "In this chapter, we have focused on compression of medical images using integer wavelet transforms. Lifting transforms such as S, TS, S+P(B), S+P(C), 5/3, 2+@, 2, 9/7-M and 9/7-F transforms are used to evaluate the performances of lossless and lossy compression. Four medical images, namely, MRI, CT, ultrasound, and angiograms are used as test data sets. It is found from the experiments that, among the different transforms, the 9/7-M wavelet transform is identified as the optimal method for lossless and lossy compression of medical images.",

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ER -

Medical image compression using integer wavelet transforms

Abstract

All Science Journal Classification (ASJC) codes

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