Effects of image preprocessing/resizing on diagnostic quality of compressed medical images [chest radiographs application]

  • Authors:

  • B. J. Sullivan;R. Ansari;M. L. Giger;H. MacMahon

  • 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

The effect of prefiltering and resizing on the diagnostic quality of compressed images at various compression ratios is examined in this paper. A key object of the work is to get an insight on selecting an optimal combination of resolution and quantizer coarseness for a given ratio of compression of medical images. Test images were decimated by several decimation factors, and compressed to achieve a target file size. The decompressed images were assessed for their diagnostic quality. The authors' results demonstrate two things: (1) the higher sampling rates allow a quality margin that may offset the effects of subsequent quantization; and (2) gains in quality due to higher resolution levels may eventually be outstripped by the degrading effects of compression as the compression ratio increases. The result suggests a more gradual reduction in resolution would provide better control over loss of quality.