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

  • Authors:

  • S.-C. B. Lo;Huai Li;B. H. Krasner;M. T. Freedman;S. K. Mun

  • Affiliations:

  • -;-;-;-;-

  • Venue:
  • ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
  • Year:
  • 1995

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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.