Resolving the biases in threshold decomposition-based multitoning

Lai Yan Wong, Yuk Hee Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Threshold decomposition is a technique commonly used to produce multitones in multilevel halftoning. It separates an input image nonlinearly into energy planes, halftones them sequentially with a binary halftoning algorithm, and finally combines the binary halftoning results to produce a multitone. As planes are handled sequentially from the brightest layer to the darkest layer under a stacking constraint, there are biases to favor the brighter layers and the darker features of the image. This in turn makes the resultant multitone impossible to report the original image ideally. This paper proposes a solution to eliminate these biases and improve the visual quality of a produced multitone.
Original languageEnglish
Title of host publication2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Print)9780992862602
Publication statusPublished - 1 Jan 2013
Event2013 21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
Duration: 9 Sep 201313 Sep 2013

Conference

Conference2013 21st European Signal Processing Conference, EUSIPCO 2013
CountryMorocco
CityMarrakech
Period9/09/1313/09/13

Keywords

  • error diffusion
  • Halftoning
  • multilevel halftoning
  • multiscale error diffusion
  • multitoning

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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