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Journal of Visual Communication and Image Representation
Volume 12, Issue 1, March 2001, Pages 84-95
 
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doi:10.1006/jvci.2000.0464    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2001 Academic Press. All rights reserved.

Regular Article

A Robust Nonlinear Filtering Approach to Inverse Halftoning

Mei-Yin Shen and C. -C. Jay Kuo

Integrated Multimedia Systems Center and the Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, California, 90089-2564, f1

Received 4 August 1999; 
accepted 10 August 2000. ;
Available online 28 February 2002.

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Abstract

A new blind inverse halftoning algorithm based on a nonlinear filtering technique of low computational complexity and low memory requirement is proposed in this research. It is called blind since we do not require the knowledge of the halftone kernel. The proposed scheme performs nonlinear filtering in conjunction with edge enhancement to improve the quality of an inverse halftoned image. Distinct features of the proposed approach include efficiently smoothing halftone patterns in large homogeneous areas, additional edge enhancement capability to recover the edge quality, and an excellent PSNR performance with only local integer operations and a small memory buffer.

Abbreviations: digital halftoningAbbreviations: inverse halftoningAbbreviations: nonlinear filteringAbbreviations: error diffusion


 
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