Choice of wavelet filters for medical image compression and approximation

Author

Dilmaghani, R.S. ; Ahmadian, A. ; Maleki, N.

Author_Institution

Dept. of Biophys. & Biomed. Syst., Tehran Univ. of Med. Sci., Iran

Volume

2

fYear

2002

fDate

2002

Firstpage

1059

Abstract

Wavelet coding has proven to be very effective in signal and image compression, denoising and detection. In wavelet based image coding the choice of wavelets is crucial and determines the coding performance. In this paper we investigate effect of applying different types of wavelet filters belonging to orthogonal and biorthogonal families with different orders on the medical image quality in multiresolution framework. Regularity and linearity of phase response of filters were found to be important factors in choosing the proper filter. Our results show that Antonini filter (7/9) is the best choice and leads to more cancellation of aliasing effect caused in the analysis stage and highest peak signal to noise ratio (PSNR) on medical images.

Keywords

biomedical MRI; computerised tomography; data compression; image coding; medical image processing; wavelet transforms; Antonini filter; CT; MRI; aliasing effect cancellation; analysis stage; biorthogonal family; coding performance; highest peak signal to noise ratio; medical diagnostic imaging; orthogonal family; phase response linearity; Biomedical imaging; Filters; Image coding; Image quality; Image resolution; Linearity; Medical signal detection; Noise reduction; PSNR; Signal resolution;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106275

Filename

1106275