Inverse halftoning via robust nonlinear filtering

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

doi:10.1117/12.365872

18 October 1999 Inverse halftoning via robust nonlinear filtering

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

Proceedings Volume 3808, Applications of Digital Image Processing XXII; (1999) https://doi.org/10.1117/12.365872
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

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.

Citation Download Citation

Mei-Yin Shen and C.-C. Jay Kuo "Inverse halftoning via robust nonlinear filtering", Proc. SPIE 3808, Applications of Digital Image Processing XXII, (18 October 1999); https://doi.org/10.1117/12.365872

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