Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Nonlinear Image Processing |
| Untertitel | Electronic Imaging: Science and Technology, 28 Januar - 2 February 1996 |
| Herausgeber/-innen | Edward R. Dougherty, Jaakko T. Astola, Harold G. Longbotham |
| Seiten | 142-153 |
| Seitenumfang | 12 |
| Publikationsstatus | Veröffentlicht - 25 März 1996 |
| Extern publiziert | Ja |
| Veranstaltung | Nonlinear Image Processing VII - San Jose, CA, USA Dauer: 29 Jan. 1996 → 30 Jan. 1996 |
Publikationsreihe
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Band | 2662 |
| ISSN (Print) | 0277-786X |
Abstract
One important task in the field of digital video signal processing is the conversion of one standard into another with different field and scan rates. Therefore we have developed a vector based nonlinear upconversion algorithm which applies nonlinear center weighted median filters (CWM). Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, there are contrary demands for the CWM filters. We can meet these demands by a vertical band separation and an application of so-called temporally and spatially dominated CWMs. Hereby errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. By this we have achieved a very robust vector error tolerant up-conversion method which significantly improves the interpolation quality. By an appropriate choice of the CWM filter root structures main picture elements are interpolated correctly also if faulty vector fields occur. In order to demonstrate correctness of the deduced interpolation scheme picture content is classified. These classes are distinguished by correct or incorrect vector assignment and correlated or noncorrelated picture content. The mode of operation of the new algorithm is portrayed for each class. Whereas the mode of operation for correlated picture content can be shown by object models this is shown for noncorrelated picture content by the distribution function of the applied CWM filters. The new algorithm has been verified as well by an objective evaluation method the PSNR (peak signal to noise ratio) measurement as by a comprehensive subjective test series.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Informatik (insg.)
- Angewandte Informatik
- Mathematik (insg.)
- Angewandte Mathematik
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
- RIS
Nonlinear Image Processing: Electronic Imaging: Science and Technology, 28 Januar - 2 February 1996. Hrsg. / Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham. 1996. S. 142-153 (Proceedings of SPIE - The International Society for Optical Engineering; Band 2662).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Vector-based nonlinear upconversion applying center-weighted medians
AU - Blume, Holger
PY - 1996/3/25
Y1 - 1996/3/25
N2 - One important task in the field of digital video signal processing is the conversion of one standard into another with different field and scan rates. Therefore we have developed a vector based nonlinear upconversion algorithm which applies nonlinear center weighted median filters (CWM). Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, there are contrary demands for the CWM filters. We can meet these demands by a vertical band separation and an application of so-called temporally and spatially dominated CWMs. Hereby errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. By this we have achieved a very robust vector error tolerant up-conversion method which significantly improves the interpolation quality. By an appropriate choice of the CWM filter root structures main picture elements are interpolated correctly also if faulty vector fields occur. In order to demonstrate correctness of the deduced interpolation scheme picture content is classified. These classes are distinguished by correct or incorrect vector assignment and correlated or noncorrelated picture content. The mode of operation of the new algorithm is portrayed for each class. Whereas the mode of operation for correlated picture content can be shown by object models this is shown for noncorrelated picture content by the distribution function of the applied CWM filters. The new algorithm has been verified as well by an objective evaluation method the PSNR (peak signal to noise ratio) measurement as by a comprehensive subjective test series.
AB - One important task in the field of digital video signal processing is the conversion of one standard into another with different field and scan rates. Therefore we have developed a vector based nonlinear upconversion algorithm which applies nonlinear center weighted median filters (CWM). Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, there are contrary demands for the CWM filters. We can meet these demands by a vertical band separation and an application of so-called temporally and spatially dominated CWMs. Hereby errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. By this we have achieved a very robust vector error tolerant up-conversion method which significantly improves the interpolation quality. By an appropriate choice of the CWM filter root structures main picture elements are interpolated correctly also if faulty vector fields occur. In order to demonstrate correctness of the deduced interpolation scheme picture content is classified. These classes are distinguished by correct or incorrect vector assignment and correlated or noncorrelated picture content. The mode of operation of the new algorithm is portrayed for each class. Whereas the mode of operation for correlated picture content can be shown by object models this is shown for noncorrelated picture content by the distribution function of the applied CWM filters. The new algorithm has been verified as well by an objective evaluation method the PSNR (peak signal to noise ratio) measurement as by a comprehensive subjective test series.
UR - http://www.scopus.com/inward/record.url?scp=0029696035&partnerID=8YFLogxK
U2 - 10.1117/12.235826
DO - 10.1117/12.235826
M3 - Conference contribution
AN - SCOPUS:0029696035
SN - 0819420360
SN - 9780819420367
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 142
EP - 153
BT - Nonlinear Image Processing
A2 - Dougherty, Edward R.
A2 - Astola, Jaakko T.
A2 - Longbotham, Harold G.
T2 - Nonlinear Image Processing VII
Y2 - 29 January 1996 through 30 January 1996
ER -