Image Halftoning and Inverse Halftoning for 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 a recent paper we showed how the dot diffusion method can be improved by optimization of the so called class matrix. In this paper we first review the dot diffusion algorithm and the optimization of the class matrix. A method for inverse halftoning of dot diffused images is then proposed. The method uses wavelet decomposition to eliminate the halftoning noise and does not make use of the knowledge of the class matrix.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA349626

Entities

People

  • Murat Mese
  • Palghat Vaidyanathan

Organizations

  • California Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Cross Correlation
  • Diffusion
  • Digital Filters
  • Electrical Engineering
  • Electronic Mail
  • Engineering
  • Filters
  • Filtration
  • Frequency
  • Image Processing
  • Military Research
  • Optimization
  • Power Spectra
  • Spectra
  • Wavelet Transforms

Readers

  • Image Processing and Computer Vision.
  • Semiconductor Device Technology
  • Statistical inference.