Digital Mammographic Image Compression.

Abstract

This research investigated both lossless and lossy compression methods for digital mammography. A structure lossless compression algorithm was developed for digital mammograms. The algorithm utilizes the unique shape and image characteristics of mammograms. The algorithm first segments a breast image from its background. An averaging predict coding was then used to compress the segmented image. The average bit rate compression ratio achieved is about 3.4 for 100 mammograms. The results also show that high resolution images can be compressed more than low resolution images. In the lossy compression, a wavelet compression scheme was developed. The preliminary results show that the wavelet transform is able to concentrate pixel energy into a very small area. This characteristic is promising for obtaining high quality compressed images at reasonable compression ratios.

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Document Details

Document Type
Technical Report
Publication Date
Jul 15, 1995
Accession Number
ADA300271

Entities

People

  • H. K. Huang
  • Jun Wang

Organizations

  • University of California, San Francisco

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Breast Cancer
  • Compression Ratio
  • Computer Programming
  • Detection
  • Digital Image Processing
  • Digital Images
  • Films
  • Frequency
  • Frequency Bands
  • High Resolution
  • Image Compression
  • Image Processing
  • Low Resolution
  • Materials
  • Wavelet Transforms

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Medical Imaging.