Block-based wavelet transform coding of mammograms with region adaptive quantization

Nam Su Moon, Jun Seok Song, Musik Kwon, Jong Hyo Kim, Choong Woong Lee

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

To acheive both high compression ratio and information preserving, it is an efficiet way to combine segmentation and lossy compression scheme. Microcalcification in mammogram is one of the most significant sign of early stage of breast cancer. Therefore in coding, detection and segmentation of microcalcification enable us to preserve it well by allocating more bits to it than to other regions. Segmentation of microcalcification is performed both in spatial domain and in wavelet transform domain. Peak error controllable quantization step, which is off-line designed, is suitable for medical image compression. For region-adaptive quantization, block-based wavelet transform coding is adopted and different peak-error-constrained quantizers are applied to blocks according to the segmentation result. In view of perservation of microcalcification, the proposed coding scheme shows better performance than JPEG.

Original languageEnglish
Pages (from-to)556-562
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3335
DOIs
StatePublished - 1998
EventMedical Imaging 1998: Image Display - San Diego, CA, United States
Duration: 22 Feb 199824 Feb 1998

Keywords

  • Arithmetic coding
  • Block-based wavelet transform conding
  • Peak error controllable quantization

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