<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>sibgrapi.sid.inpe.br 802</site>
		<holdercode>{ibi 8JMKD3MGPEW34M/46T9EHH}</holdercode>
		<identifier>8JMKD3MGPEW34M/43AC6LH</identifier>
		<repository>sid.inpe.br/sibgrapi/2020/09.23.16.01</repository>
		<lastupdate>2020:09.23.16.01.47 sid.inpe.br/banon/2001/03.30.15.38 administrator</lastupdate>
		<metadatarepository>sid.inpe.br/sibgrapi/2020/09.23.16.01.47</metadatarepository>
		<metadatalastupdate>2022:06.14.00.00.05 sid.inpe.br/banon/2001/03.30.15.38 administrator {D 2020}</metadatalastupdate>
		<doi>10.1109/SIBGRAPI51738.2020.00021</doi>
		<citationkey>Emmendorfer:2020:CoShFi</citationkey>
		<title>A Conservative Sharpening Filter for Interpolated Images</title>
		<format>On-line</format>
		<year>2020</year>
		<numberoffiles>1</numberoffiles>
		<size>1643 KiB</size>
		<author>Emmendorfer, Leonardo R.,</author>
		<affiliation>Federal Unifersity of Rio Grande</affiliation>
		<editor>Musse, Soraia Raupp,</editor>
		<editor>Cesar Junior, Roberto Marcondes,</editor>
		<editor>Pelechano, Nuria,</editor>
		<editor>Wang, Zhangyang (Atlas),</editor>
		<e-mailaddress>leonardo.emmendorfer@gmail.com</e-mailaddress>
		<conferencename>Conference on Graphics, Patterns and Images, 33 (SIBGRAPI)</conferencename>
		<conferencelocation>Porto de Galinhas (virtual)</conferencelocation>
		<date>7-10 Nov. 2020</date>
		<publisher>IEEE Computer Society</publisher>
		<publisheraddress>Los Alamitos</publisheraddress>
		<booktitle>Proceedings</booktitle>
		<tertiarytype>Full Paper</tertiarytype>
		<transferableflag>1</transferableflag>
		<versiontype>finaldraft</versiontype>
		<keywords>interpolation, magnification, super-resolution.</keywords>
		<abstract>Interpolation methods are computationally efficient and rather effective for magnification from low-resolution images in order to generate higher resolution images. However, blur and other undesirable visual artifacts are often produced during the process. This work evaluates a sharpening filter that enhances the quality of interpolated images by preserving information from the original low-resolution images. The novel filter was shown to achieve statistically significant increments in both the PSNR and SSIM of magnified RGB images using two image sets from the literature.</abstract>
		<language>en</language>
		<targetfile>PID6615177.pdf</targetfile>
		<usergroup>leonardo.emmendorfer@gmail.com</usergroup>
		<visibility>shown</visibility>
		<documentstage>not transferred</documentstage>
		<mirrorrepository>sid.inpe.br/banon/2001/03.30.15.38.24</mirrorrepository>
		<nexthigherunit>8JMKD3MGPEW34M/43G4L9S</nexthigherunit>
		<nexthigherunit>8JMKD3MGPEW34M/4742MCS</nexthigherunit>
		<citingitemlist>sid.inpe.br/sibgrapi/2020/10.28.20.46 2</citingitemlist>
		<hostcollection>sid.inpe.br/banon/2001/03.30.15.38</hostcollection>
		<username>leonardo.emmendorfer@gmail.com</username>
		<agreement>agreement.html .htaccess .htaccess2</agreement>
		<lasthostcollection>sid.inpe.br/banon/2001/03.30.15.38</lasthostcollection>
		<url>http://sibgrapi.sid.inpe.br/rep-/sid.inpe.br/sibgrapi/2020/09.23.16.01</url>
	</metadata>
</metadatalist>