Image Halftoning Using Optimized Dot Diffusion

Abstract

The dot diffusion method for digital halftoning has the advantage of parallelism unlike the error diffusion method. However, image quality offered by error diffusion is still regarded as superior to other known methods. In this paper we show how the dot diffusion method can be improved by optimization of the so called class matrix. By taking the human visual characteristics into account we show that such optimization consistently results in images comparable to error diffusion, without sacrificing the parallelism.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA349631

Entities

People

  • Murat Mese
  • Palghat Vaidyanathan

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Diffusion
  • Electrical Engineering
  • Electronic Mail
  • Engineering
  • Frequency
  • Military Research
  • Noise
  • Optimization
  • Power Spectra
  • Spectra
  • Weighting Functions
  • White Noise

Readers

  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Image Processing and Computer Vision.