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Memory efficient error diffusion.

Ti-chiun Chang1, Jan P Allebach

  • 1Sch. of Electr. and Comput. Eng., Purdue Univ., West Lafayette, IN 47907-1285, USA. tichiun@ecn.purdue.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 5, 2008
PubMed
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Error diffusion halftoning is optimized for inkjet printers by reducing memory storage needs. New methods achieve high image quality with lower computational complexity, making it suitable for cost-effective printing.

Area of Science:

  • Digital Imaging
  • Computer Graphics
  • Image Processing

Background:

  • Error diffusion is a popular halftoning technique for inkjet printers due to its image quality and moderate computational needs.
  • Current methods achieve high quality but require significant memory for tone-dependent parameters and error storage, limiting use in low-cost or large-format products.

Purpose of the Study:

  • To reduce the memory requirements of error diffusion halftoning.
  • To maintain high image quality in cost-effective printing applications.
  • To adapt error diffusion for low-cost and large-format printing.

Main Methods:

  • Implemented a reduced lookup table by replacing halftone bitmaps with deterministic bit flipping and interpolating tone-dependent weights/thresholds.
  • Introduced a serial block-based approach to error diffusion with a novel intrablock scan path and varying parameter sets.

Related Experiment Videos

  • Developed new cost functions for training to ensure satisfactory image quality with the modified methods.

    • Main Results:

    • The reduced lookup table and serial block-based approach significantly decrease memory storage requirements.
    • Serial block-based error diffusion reduces off-chip memory access by a factor equal to the block height.
    • The new methods, with appropriate cost functions, achieve image quality comparable to the original tone-dependent error diffusion algorithm.

    Conclusions:

    • The developed techniques effectively address the memory limitations of error diffusion halftoning.
    • This optimization makes advanced halftoning more accessible for low-cost and large-format printing devices.
    • Satisfactory image quality is maintained, broadening the applicability of error diffusion.