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Optimizing block-thresholding segmentation for multilayer compression of compound images.

R L de Queiroz1, Z Fan, T D Tran

  • 1Xerox Corporation, Webster, NY 14580, USA. queiroz@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
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This study optimizes block thresholding for mixed raster content (MRC) image compression. A fast algorithm improves segmentation and compression performance for compound documents.

Area of Science:

  • Computer Vision
  • Image Processing
  • Data Compression

Background:

  • Compound documents combine text, graphics, and images, posing challenges for efficient compression.
  • Mixed Raster Content (MRC) is a multilayer approach for compressing such documents.

Purpose of the Study:

  • To optimize block thresholding for segmenting images in MRC compression.
  • To develop a fast algorithm for approximating the optimized block threshold.

Main Methods:

  • Image segmentation using block thresholding.
  • Rate-distortion optimization for block threshold selection.
  • Development of a fast approximation algorithm for optimized thresholding.

Main Results:

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  • Demonstrated performance of the proposed block thresholding algorithm for MRC compression.
  • Presented rate-distortion curves, segmentation masks, and reconstructed images.
  • Showcased the efficiency of the fast approximation algorithm.
  • Conclusions:

    • The optimized block thresholding method enhances MRC compression performance.
    • The fast algorithm provides an efficient approximation for practical applications.
    • The approach effectively handles the segmentation of compound document images.