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Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers
06:50

Enabling High Grayscale Resolution Displays and Accurate Response Time Measurements on Conventional Computers

Published on: February 29, 2012

Hardware-friendly descreening.

Hasib Siddiqui1, Mireille Boutin, Charles A Bouman

  • 1School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA. hsiddiqu@purdue.edu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|November 4, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a novel descreening filter to eliminate Moiré artifacts in scanned documents. The filter preserves image quality and reduces computation, offering a cost-effective solution for printers.

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Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Halftoning and Dithering

Background:

  • Electrophotographic printers often produce Moiré patterns when reproducing scanned images from printed materials like books and magazines.
  • Existing descreening methods may struggle with a wide range of screen frequencies or compromise image sharpness.

Purpose of the Study:

  • To develop a novel, noniterative, nonlinear, and space-variant descreening filter.
  • To effectively remove Moiré artifacts caused by various screen frequencies in scanned documents.
  • To preserve image sharpness and edge detail during the descreening process.

Main Methods:

  • The proposed filter is inspired by the Perona-Malik anisotropic diffusion equation.
  • It employs an edge intensity estimate robust to halftone noise to control image diffusion.
  • A spatial feature vector of local intensity gradients is extracted and used in tunable nonlinear polynomial functions for diffusion.

Main Results:

  • The filter successfully removes a wide range of Moiré-causing screen frequencies.
  • Image sharpness and edge detail are preserved effectively.
  • The algorithm demonstrates improved quality and reduced computation compared to existing descreening solutions.

Conclusions:

  • The novel descreening filter offers a robust and cost-effective solution for removing Moiré artifacts in scanned documents.
  • Its design, utilizing integer arithmetic and a sequential architecture, makes it suitable for practical imaging devices.
  • This method enhances image reproduction quality from printed sources in digital printing applications.