A new multiresolution predictive scheme for lossless compression of medical images

Author

Das, M.K. ; Li, C.C. ; Burgett, S.R.

Author_Institution

Dept. of Electr. Eng., Oakland Univ., Rochester, MI, USA

fYear

1993

fDate

13-16 Jun 1993

Firstpage

34

Lastpage

39

Abstract

This paper introduces a new multiresolution predictive scheme for lossless compression of medical images. The proposed scheme consists of three successive steps: namely, multiresolution decomposition, hierarchical interpolation and predictive coding using two-dimensional multiplicative autoregressive models. The performance of the proposed technique is compared with three alternative techniques: namely, difference pyramid (DP), reduced difference pyramid (RDP) and hierarchical interpolation (HINT) method. The experimental results indicate that the proposed scheme achieves significantly higher compression compared to the other techniques considered

Keywords

data compression; image coding; medical image processing; difference pyramid; hierarchical interpolation; lossless compression; medical images; multiresolution decomposition; multiresolution predictive scheme; performance; predictive coding; reduced difference pyramid; two-dimensional multiplicative autoregressive models; Biomedical engineering; Biomedical imaging; Data compression; Decorrelation; Engineering management; Image coding; Image resolution; Interpolation; Predictive coding; Predictive models;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1993. Proceedings of Sixth Annual IEEE Symposium on

Conference_Location

Ann Arbor, MI

Print_ISBN

0-8186-3752-8

Type

conf

DOI

10.1109/CBMS.1993.262994

Filename

262994