A contour coding and full-frame compression of discrete wavelet and cosine transforms

Author

Lo, Shih-Chung B. ; Li, Huai ; Krasner, Brian H. ; Freedman, Matthew T. ; Mun, Seong K.

Author_Institution

ISIS Centre, Georgetown Univ., Washington, DC, USA

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

9

Abstract

This paper represents the authors´ research on a hybrid method combined with contour coding, full-frame discrete wavelet (FFDWT) and full-frame discrete cosine transforms (FFDCT) for medical image compression. In this study, ten X-ray chest radiographs and ten mammograms were randomly selected from the authors´ clinical database. Each image was split into the top three most significant bits (3MSB) image and the remaining was remapped to a least significant bit (RLSB) image. The 3MSB image was compressed by an error-free contour coding and received an average of 0.1 bit/pixel. The RLSB image was either transformed to a multi-channel wavelet or the cosine transform domain for entropy evaluation and compression

Keywords

data compression; diagnostic radiography; discrete cosine transforms; image coding; medical image processing; wavelet transforms; X-ray chest radiographs; cosine transform domain; discrete wavelet transforms; entropy evaluation; error-free contour coding; full-frame compression; hybrid method; least significant bit; mammograms; medical diagnostic imaging; medical image compression; most significant bit; multichannel wavelet; Biomedical imaging; Discrete cosine transforms; Discrete wavelet transforms; Image coding; Image databases; Pixel; Radiography; Wavelet domain; Wavelet transforms; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537402

Filename

537402