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Look-up-table based halftoning algorithm.

P Li1, J P Allebach

  • 1School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA. ping-shan@usrl.sony.com

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 12, 2008
PubMed
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This study introduces a new halftoning algorithm that bypasses stacking constraints, improving halftone image quality. The direct binary search method creates correlated patterns for better texture at each gray level.

Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Halftoning

Background:

  • Screening is a common halftoning algorithm with limitations.
  • The stacking property constraint in screening limits texture quality at various gray levels.

Purpose of the Study:

  • To present a novel look-up-table based halftoning algorithm.
  • To overcome the limitations of the stacking property in traditional screening methods.

Main Methods:

  • Developed a look-up-table based halftoning algorithm.
  • Utilized the direct binary search method for level-by-level pattern design.
  • Ensured correlation between binary patterns for individual gray levels.

Main Results:

  • The proposed algorithm does not strictly adhere to the stacking constraint.

Related Experiment Videos

  • Achieved improved halftone image quality compared to conventional screening.
  • Maintained correlation between binary patterns for enhanced texture.
  • Conclusions:

    • The new halftoning algorithm offers superior image quality.
    • Bypassing stacking constraints while maintaining pattern correlation is effective.
    • Direct binary search provides a robust method for halftone pattern generation.