research-article

Hierarchical error diffusion

Author:

Zhen HeAuthors Info & Claims

IEEE Transactions on Image Processing, Volume 18, Issue 7

Pages 1524 - 1535

https://doi.org/10.1109/TIP.2009.2019778

Published: 21 November 2019 Publication History

Abstract

This paper develops a distinctive class of color error diffusion algorithm, called hierarchical error diffusion (HED). It aims to achieve perceptually pleasing color halftone through neither conventional joint quantization nor interchannel error diffusion. Instead, it explicitly controls three critical factors sequentially to yield high-quality color halftone: dot-overlapping control, dot-positioning control, and dot-coloring control. A specific implementation of HED is presented with the objective of minimum brightness variation rendering (MBVR). First, an optimal color transform is derived for dot-overlapping control to achieve minimum brightness variation color density (MBVCD). Then, the embedded monochrome error diffusion is employed in dot-positioning control. By sequentially thresholding the elements in partial density sum vector, better dot-positioning is encouraged for more visible color dots. The "blue noise" characteristics of dot-positioning from the monochrome error diffusion are inherited by the color halftone. The simple density priority strategy is applied in dot-coloring control. The pixel color error is diffused channel-independently with a single error filter in halftone dot color space. A comparison with the state-of-the-art color error diffusion algorithms demonstrates excellent halftone quality of HED, while without the typical artifacts of vector error diffusion. Evidence also shows that HEDis closer to achieveMBVRthan the minimum brightness variation quantization (MBVQ) color diffusion algorithm proposed in [32].

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Cited By

Morovič PMorovič JGondek JUlichney R(2017)Direct Pattern Control Halftoning of Neugebauer PrimariesIEEE Transactions on Image Processing10.1109/TIP.2017.271393926:9(4404-4413)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1109/TIP.2017.2713939
He Z(2010)Hierarchical colorant-based direct binary search halftoningIEEE Transactions on Image Processing10.1109/TIP.2010.204569019:7(1824-1836)Online publication date: 1-Jul-2010
https://dl.acm.org/doi/10.1109/TIP.2010.2045690

Index Terms

Hierarchical error diffusion
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

Index terms have been assigned to the content through auto-classification.

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cover image IEEE Transactions on Image Processing

IEEE Transactions on Image Processing Volume 18, Issue 7

July 2009

292 pages

ISSN:1057-7149

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Copyright © 2009.

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IEEE Press

Publication History

Published: 21 November 2019

Revised: 10 March 2009

Received: 10 September 2008

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Cited By

Morovič PMorovič JGondek JUlichney R(2017)Direct Pattern Control Halftoning of Neugebauer PrimariesIEEE Transactions on Image Processing10.1109/TIP.2017.271393926:9(4404-4413)Online publication date: 1-Sep-2017
https://dl.acm.org/doi/10.1109/TIP.2017.2713939
He Z(2010)Hierarchical colorant-based direct binary search halftoningIEEE Transactions on Image Processing10.1109/TIP.2010.204569019:7(1824-1836)Online publication date: 1-Jul-2010
https://dl.acm.org/doi/10.1109/TIP.2010.2045690

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