title: Reversible intraframe compression of medical images.
abstract: The performance of several reversible, intraframe compression methods is compared by applying them to angiographic and magnetic resonance (MR) images. Reversible data compression involves two consecutive steps: decorrelation and coding. The result of the decorrelation step is presented in terms of entropy. Because Huffman coding generally approximates these entropy measures within a few percent, coding has not been investigated separately. It appears that a hierarchical decorrelation method based on interpolation (HINT) outperforms all other methods considered. The compression ratio is around 3 for angiographic images of 8-9 b/pixel, but is considerably less for MR images whose noise level is substantially higher.
authors.affiliation: Dept. of Math. and Inf., Delft Univ. of Technol.
authors.forename: P
authors.initials: P
authors.lastname: Roos
authors.forename: M A
authors.initials: MA
authors.lastname: Viergever
authors.forename: M A
authors.initials: MA
authors.lastname: van Dijke
authors.forename: J H
authors.initials: JH
authors.lastname: Peters