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A Robust Nonlinear Filtering Approach to Inverse Halftoning

✍ Scribed by Mei-Yin Shen; C.-C.Jay Kuo

Publisher
Elsevier Science
Year
2001
Tongue
English
Weight
273 KB
Volume
12
Category
Article
ISSN
1047-3203

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✦ Synopsis

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.

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