Inverse halftoning using a shearlet representation

Glenn R. Easley; Vishal M. Patel; Dennis M. Healy Jr.

doi:10.1117/12.825640

4 September 2009 Inverse halftoning using a shearlet representation

Glenn R. Easley, Vishal M. Patel, Dennis M. Healy Jr.

Proceedings Volume 7446, Wavelets XIII; 74460C (2009) https://doi.org/10.1117/12.825640
Event: SPIE Optical Engineering + Applications, 2009, San Diego, California, United States

Abstract

In this paper, we present a new approach for inverse halftoning of error diffused halftones using a shearlet representation. We formulate inverse halftoning as a deconvolution problem using Kite et al.'s linear approximation model for error diffusion halftoning. Our method is based on a new M-channel implementation of the shearlet transform. By formulating the problem as a linear inverse problem and taking advantage of unique properties of an implementation of the shearlet transform, we project the halftoned image onto a shearlet representation. We then adaptively estimate a gray-scaled image from these shearlet-toned or shear-tone basis elements in a multi-scale and anisotropic fashion. Experiments show that, the performance of our method improves upon many of the state-of-the-art inverse halftoning routines, including a wavelet-based method and a method that shares some similarities to a shearlet-type decomposition known as the local polynomial approximation (LPA) technique.

Citation Download Citation

Glenn R. Easley, Vishal M. Patel, and Dennis M. Healy Jr. "Inverse halftoning using a shearlet representation", Proc. SPIE 7446, Wavelets XIII, 74460C (4 September 2009); https://doi.org/10.1117/12.825640

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