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A Method to Study Adaptation to Left-Right Reversed Audition
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Adaptive methods for dithering color images.

L Akarun1, Y Yardunci, A E Cetin

  • 1Dept. of Comput. Eng., Bogazici Univ., Istanbul.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1997
PubMed
Summary

This study introduces an adaptive error diffusion method for color image dithering. The novel vector approach improves true color reproduction by minimizing common artifacts like color shifts.

Area of Science:

  • Digital Imaging
  • Computer Vision
  • Color Science

Background:

  • Standard color image printing and display devices struggle with true color reproduction.
  • Dithering techniques are used to compensate by trading color resolution for spatial resolution.
  • Existing dithering methods often introduce artifacts such as textural contours, color impulses, and color shifts.

Purpose of the Study:

  • To present an adaptive error diffusion method for enhanced color image dithering.
  • To address and mitigate common side effects of standard dithering algorithms.
  • To introduce a novel vector-based approach for error diffusion in color images.

Main Methods:

  • An adaptive error diffusion algorithm is developed for color images.
  • Filter coefficients are updated using a normalized least mean square-type (LMS-type) algorithm.

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  • A general vector approach is employed, treating color components collectively rather than individually.

    • Main Results:

    • The adaptive LMS-type algorithm effectively prevents textural contours, color impulses, and color shifts.
    • The vector error diffusion approach yields superior results compared to component-wise methods.
    • Simulation studies confirm the effectiveness of the proposed method in achieving better color fidelity.

    Conclusions:

    • The proposed adaptive vector error diffusion method significantly improves true color image reproduction.
    • This technique offers a robust solution to common artifacts in digital color imaging.
    • The findings suggest a new standard for color dithering in printing and display technologies.