Efficient super-resolution via image warping
Identifieur interne : 001D57 ( Main/Exploration ); précédent : 001D56; suivant : 001D58Efficient super-resolution via image warping
Auteurs : M.-C. Chiang [États-Unis] ; T. E. Boult [États-Unis]Source :
- Image and Vision Computing [ 0262-8856 ] ; 1999.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
- Approximation theory, Bi-linear resampling, Computational methods, Image analysis, Image quality, Image reconstruction, Image restoration, Image warping, Imaging systems, Imaging techniques, Imaging-consistent restoration/reconstruction, Integrating resampler, Integrating resampling, Iterative methods, Mathematical models, OCR, Optical character recognition, Quantitative evaluation, Super-resolution, Theory.
Abstract
This paper introduces a new algorithm for enhancing image resolution from an image sequence. The approach we propose herein uses the integrating resampler for warping. The method is a direct computation, which is fundamentally different from the iterative back-projection approaches proposed in previous work. This paper shows that image-warping techniques may have a strong impact on the quality of image resolution enhancement. By coupling the degradation model of the imaging system directly into the integrating resampler, we can better approximate the warping characteristics of real sensors, which also significantly improve the quality of super-resolution images. Examples of super-resolutions are given for gray-scale images. Evaluations are made visually by comparing the resulting images and those using bi-linear resampling and back-projection and quantitatively using OCR as a fundamental measure. The paper shows that even when the images are qualitatively similar, quantitative differences appear in machine processing.
Url:
DOI: 10.1016/S0262-8856(99)00044-X
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000119
- to stream Istex, to step Curation: 000117
- to stream Istex, to step Checkpoint: 001360
- to stream Main, to step Merge: 001E57
- to stream PascalFrancis, to step Corpus: 000776
- to stream PascalFrancis, to step Curation: 000018
- to stream PascalFrancis, to step Checkpoint: 000731
- to stream Main, to step Merge: 001F43
- to stream Main, to step Curation: 001D57
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Efficient super-resolution via image warping</title><author><name sortKey="Chiang, M C" sort="Chiang, M C" uniqKey="Chiang M" first="M.-C." last="Chiang">M.-C. Chiang</name></author><author><name sortKey="Boult, T E" sort="Boult, T E" uniqKey="Boult T" first="T. E." last="Boult">T. E. Boult</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:7ABA5F596D9C4A5925A9DE340A812CF73BAE47D1</idno><date when="2000" year="2000">2000</date><idno type="doi">10.1016/S0262-8856(99)00044-X</idno><idno type="url">https://api.istex.fr/document/7ABA5F596D9C4A5925A9DE340A812CF73BAE47D1/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000119</idno><idno type="wicri:Area/Istex/Curation">000117</idno><idno type="wicri:Area/Istex/Checkpoint">001360</idno><idno type="wicri:doubleKey">0262-8856:2000:Chiang M:efficient:super:resolution</idno><idno type="wicri:Area/Main/Merge">001E57</idno><idno type="wicri:source">INIST</idno><idno type="RBID">Pascal:00-0310193</idno><idno type="wicri:Area/PascalFrancis/Corpus">000776</idno><idno type="wicri:Area/PascalFrancis/Curation">000018</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000731</idno><idno type="wicri:doubleKey">0262-8856:2000:Chiang M:efficient:super:resolution</idno><idno type="wicri:Area/Main/Merge">001F43</idno><idno type="wicri:Area/Main/Curation">001D57</idno><idno type="wicri:Area/Main/Exploration">001D57</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Efficient super-resolution via image warping</title><author><name sortKey="Chiang, M C" sort="Chiang, M C" uniqKey="Chiang M" first="M.-C." last="Chiang">M.-C. Chiang</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Computer Science, Columbia University, New York, NY 10027</wicri:regionArea><placeName><region type="state">État de New York</region><settlement type="city">New York</settlement></placeName><orgName type="university">Université Columbia</orgName></affiliation></author><author><name sortKey="Boult, T E" sort="Boult, T E" uniqKey="Boult T" first="T. E." last="Boult">T. E. Boult</name><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Electrical Engineering and Computer Science, Lehigh University, Bethlehem, PA 18015</wicri:regionArea><placeName><region type="state">Pennsylvanie</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Image and Vision Computing</title><title level="j" type="abbrev">IMAVIS</title><idno type="ISSN">0262-8856</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">18</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="761">761</biblScope><biblScope unit="page" to="771">771</biblScope></imprint><idno type="ISSN">0262-8856</idno></series><idno type="istex">7ABA5F596D9C4A5925A9DE340A812CF73BAE47D1</idno><idno type="DOI">10.1016/S0262-8856(99)00044-X</idno><idno type="PII">S0262-8856(99)00044-X</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0262-8856</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Approximation theory</term><term>Bi-linear resampling</term><term>Computational methods</term><term>Image analysis</term><term>Image quality</term><term>Image reconstruction</term><term>Image restoration</term><term>Image warping</term><term>Imaging systems</term><term>Imaging techniques</term><term>Imaging-consistent restoration/reconstruction</term><term>Integrating resampler</term><term>Integrating resampling</term><term>Iterative methods</term><term>Mathematical models</term><term>OCR</term><term>Optical character recognition</term><term>Quantitative evaluation</term><term>Super-resolution</term><term>Theory</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Analyse image</term><term>Imagerie</term><term>Modèle mathématique</term><term>Méthode calcul</term><term>Méthode itérative</term><term>Qualité image</term><term>Reconnaissance optique caractère</term><term>Reconstruction image</term><term>Système imagerie</term><term>Théorie</term><term>Théorie approximation</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper introduces a new algorithm for enhancing image resolution from an image sequence. The approach we propose herein uses the integrating resampler for warping. The method is a direct computation, which is fundamentally different from the iterative back-projection approaches proposed in previous work. This paper shows that image-warping techniques may have a strong impact on the quality of image resolution enhancement. By coupling the degradation model of the imaging system directly into the integrating resampler, we can better approximate the warping characteristics of real sensors, which also significantly improve the quality of super-resolution images. Examples of super-resolutions are given for gray-scale images. Evaluations are made visually by comparing the resulting images and those using bi-linear resampling and back-projection and quantitatively using OCR as a fundamental measure. The paper shows that even when the images are qualitatively similar, quantitative differences appear in machine processing.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Pennsylvanie</li><li>État de New York</li></region><settlement><li>New York</li></settlement><orgName><li>Université Columbia</li></orgName></list><tree><country name="États-Unis"><region name="État de New York"><name sortKey="Chiang, M C" sort="Chiang, M C" uniqKey="Chiang M" first="M.-C." last="Chiang">M.-C. Chiang</name></region><name sortKey="Boult, T E" sort="Boult, T E" uniqKey="Boult T" first="T. E." last="Boult">T. E. Boult</name><name sortKey="Boult, T E" sort="Boult, T E" uniqKey="Boult T" first="T. E." last="Boult">T. E. Boult</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001D57 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001D57 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= OcrV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:7ABA5F596D9C4A5925A9DE340A812CF73BAE47D1
|texte= Efficient super-resolution via image warping
}}
| This area was generated with Dilib version V0.6.32. |  |