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<bibitem type="J">   <ARLID>0411213</ARLID> <utime>20240103182310.3</utime><mtime>20060210235959.9</mtime>        <title language="eng" primary="1">Weighted thin-plate spline image denoising</title>  <specification> <page_count>4 s.</page_count> </specification>   <serial><ARLID>cav_un_epca*0257388</ARLID><ISSN>0031-3203</ISSN><title>Pattern Recognition</title><part_num/><part_title/><volume_id>36</volume_id><volume>12 (2003)</volume><page_num>3027-3030</page_num><publisher><place/><name>Elsevier</name><year/></publisher></serial>    <keyword>image denoising</keyword>   <keyword>thin-plate splines</keyword>    <author primary="1"> <ARLID>cav_un_auth*0101125</ARLID> <name1>Kašpar</name1> <name2>Roman</name2> <institution>UTIA-B</institution>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author> <author primary="0"> <ARLID>cav_un_auth*0101238</ARLID> <name1>Zitová</name1> <name2>Barbara</name2> <institution>UTIA-B</institution> <full_dept>Department of Image Processing</full_dept>  <fullinstit>Ústav teorie informace a automatizace AV ČR, v. v. i.</fullinstit> </author>     <COSATI>09K</COSATI>    <cas_special> <project> <project_id>GP102/01/P065</project_id> <agency>GA ČR</agency> <ARLID>cav_un_auth*0011048</ARLID> </project> <research> <research_id>CEZ:AV0Z1075907</research_id> </research>  <abstract language="eng" primary="1">This article aims to present new denoising method based on thin-plate splines (TPS). The proposed approach is based on the general TPS denosing, however, its unfavorable smoothing of edges and details is suppressed by introduction of a weighting approach applied locally. The preformance of the method is shown and compared to the original TPS denosing.</abstract>      <RIV>JD</RIV>   <department>ZOI</department>    <permalink>http://hdl.handle.net/11104/0131299</permalink>   <ID_orig>UTIA-B 20030200</ID_orig>       <arlyear>2003</arlyear>       <unknown tag="mrcbU63"> cav_un_epca*0257388 Pattern Recognition 0031-3203 1873-5142 Roč. 36 č. 12 2003 3027 3030 Elsevier </unknown> </cas_special> </bibitem>