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Embedded multilevel error diffusion.

J R Goldschneider1, E A Riskin, P W Wong

  • 1Dept. of Electr. Eng., Washington Univ., Seattle, WA.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
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This study introduces an algorithm to embed low bit-depth images into higher bit-depth ones for efficient image browsing. This method simplifies obtaining halftoned images for printing or progressive transmission.

Area of Science:

  • Computer Vision
  • Digital Image Processing

Background:

  • Error diffusion is a key technique in halftoning for representing continuous-tone images with limited color palettes.
  • Existing methods for generating low bit-depth images from high bit-depth ones can be complex and may not be suitable for real-time applications.

Purpose of the Study:

  • To develop an algorithm for embedding binary Floyd-Steinberg error diffusion outputs into higher bit-depth images.
  • To enable direct generation of low bit-depth halftoned images from higher bit-depth ones for applications like printing and progressive transmission.

Main Methods:

  • An algorithm is presented to embed low bit-depth error diffused images into higher bit-depth gray-scale or color error diffused images.
  • The embedding process involves masking bits from the higher bit-depth image, with convenience in using most or least significant bits.

Related Experiment Videos

  • Algorithms for color palette organization and binary index assignment are proposed as preprocessing steps to maintain image quality.

    • Main Results:

    • The proposed method allows for the direct derivation of low bit-depth halftoned images from higher bit-depth counterparts.
    • Embedding can be performed across various bit planes of the output image.
    • Potential reduction in higher bit-depth halftone quality due to palette constraints is addressed by preprocessing algorithms.

    Conclusions:

    • The developed algorithm offers an efficient way to obtain low bit-depth halftoned images from higher bit-depth sources.
    • Preprocessing steps are crucial for preserving image quality when embedding, especially concerning color palettes.
    • This technique has practical implications for image browsing systems, printing, and progressive image transmission.