Medical image compression using integer wavelet transforms

B. Ramakrishnan, N. Sriraam

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationHandbook of Research on Informatics in Healthcare and Biomedicine
PublisherIGI Global Publishing
Pages277-286
Number of pages10
ISBN (Print)9781591409823
DOIs
Publication statusPublished - 01-12-2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)

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    Ramakrishnan, B., & Sriraam, N. (2006). Medical image compression using integer wavelet transforms. In Handbook of Research on Informatics in Healthcare and Biomedicine (pp. 277-286). IGI Global Publishing. https://doi.org/10.4018/978-1-59140-982-3.ch036