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Proceedings Paper

Inverse halftoning using a shearlet representation
Author(s): Glenn R. Easley; Vishal M. Patel; Dennis M. Healy Jr.
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Paper 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.

Paper Details

Date Published: 4 September 2009
PDF: 10 pages
Proc. SPIE 7446, Wavelets XIII, 74460C (4 September 2009); doi: 10.1117/12.825640
Show Author Affiliations
Glenn R. Easley, System Planning Corp. (United States)
Univ. of Maryland, College Park (United States)
Vishal M. Patel, Univ. of Maryland, College Park (United States)
Dennis M. Healy Jr., Univ. of Maryland, College Park (United States)

Published in SPIE Proceedings Vol. 7446:
Wavelets XIII
Vivek K. Goyal; Manos Papadakis; Dimitri Van De Ville, Editor(s)

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