<mets:mets OBJID="oai:generic.eprints.org:146" LABEL="Eprints Item" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-0.xsd" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mets="http://www.loc.gov/METS/"><mets:metsHdr CREATEDATA="2012-02-09T09:14:46Z"><mets:agent TYPE="ORGANIZATION" ROLE="CUSTODIAN"><mets:name>The MIIS Eprints Archive</mets:name></mets:agent></mets:metsHdr><mets:dmdSec ID="DMD_oai:generic.eprints.org:146_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:titleInfo><mods:title>Backward Diffusion Methods for Digital Halftoning</mods:title></mods:titleInfo><mods:name type="personal"><mods:namePart type="given">M.</mods:namePart><mods:namePart type="family">Gratton</mods:namePart><mods:role><mods:roleTerm type="text">author</mods:roleTerm></mods:role></mods:name><mods:abstract>We examine using discrete backward diffusion to produce digital halftones.
The noise introduced by the discrete approximation to backwards diffusion forces
the intensity away from uniform values, so that rounding each pixel to black or
white can produce a pleasing halftone. We formulate our method by considering
the Human Visual System norm and approximating the inverse of the blurring
operator. We also investigate several possible mobility functions for use in a
nonlinear backward diffusion equation for higher quality results.</mods:abstract><mods:classification authority="lcc">Information and communication technology</mods:classification><mods:originInfo><mods:dateIssued encoding="iso8061">2006-06-16</mods:dateIssued></mods:originInfo><mods:genre>Study Group Report</mods:genre></mets:xmlData></mets:mdWrap></mets:dmdSec><mets:amdSec ID="TMD_oai:generic.eprints.org:146"><mets:rightsMD ID="rights_oai:generic.eprints.org:146_mods"><mets:mdWrap MDTYPE="mods"><mets:xmlData><mods:useAndReproduction>
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