Details
| Original language | English |
|---|---|
| Title of host publication | Visual Communications and Image Processing '97 |
| Pages | 1176-1187 |
| Number of pages | 12 |
| Publication status | Published - 10 Jan 1997 |
| Externally published | Yes |
| Event | Visual Communications and Image Processing '97 - San Jose, CA, United States Duration: 12 Feb 1997 → 12 Feb 1997 |
Publication series
| Name | Proceedings of SPIE - The International Society for Optical Engineering |
|---|---|
| Publisher | SPIE |
| Volume | 3024 |
| ISSN (Print) | 0277-786X |
Abstract
Digital transmission of video signals and block-based coding/decoding schemes produce new artifacts such as blocking, dirty window, ringing and mosquite effects. These artifacts become worse with decreasing MPEG-2 data rates. Therefore the reduction of MPEG-artifacts becomes an attractive feature for digital TV-receivers. On the other hand an important feature for digital receivers is the performance of their postprocessing techniques such as object recognition, motion estimation, vector-based upconversion and noise reduction on MPEG-signals which are decoded in a receiver-based module called 'set top box'. In this paper different models dealing with the interaction between 'set top box' and digital receiver are discussed. Hereby the influence of MPEG-artifacts on postprocessing are presented. A vector-based upconversion algorithm which applied nonlinear center weighted median filters is presented. Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. Hereby a very robust vector error tolerant upconversion method which significantly improves the interpopulation quality is achieved. This paper describes also a concept for temporal recursive noise and MPEG-artifact filtering on TV images based on visual noise perception characteristics. Different procedures in the spatial subbands lead to results well matched to the requirements of the human visual system. Using a subband-based noise filter temporally non-correlated MPEG-artifacts can significantly be reduced. Image analysis using object recognition for video postprocessing becomes more important. Therefore a morphological, contour-based multilevel object recognition method which even stays robust in strongly corrupted MPEG-2 images is also introduced.
Keywords
- Artifact reduction, Morphological erosion, Motion estimation, MPEG-2, MPEG-2 artifacts, Noise reduction, Object recognition, Postprocessing, Spatial subband processing, Upconversion
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Physics and Astronomy(all)
- Condensed Matter Physics
- Computer Science(all)
- Computer Science Applications
- Mathematics(all)
- Applied Mathematics
- Engineering(all)
- Electrical and Electronic Engineering
Cite this
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- BibTeX
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Visual Communications and Image Processing '97. 1997. p. 1176-1187 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 3024).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Vector-based postprocessing of MPEG-2 signals for digital TV receivers
AU - Blume, Holger
AU - Amer, Aishy
AU - Schroeder, Hartmut
PY - 1997/1/10
Y1 - 1997/1/10
N2 - Digital transmission of video signals and block-based coding/decoding schemes produce new artifacts such as blocking, dirty window, ringing and mosquite effects. These artifacts become worse with decreasing MPEG-2 data rates. Therefore the reduction of MPEG-artifacts becomes an attractive feature for digital TV-receivers. On the other hand an important feature for digital receivers is the performance of their postprocessing techniques such as object recognition, motion estimation, vector-based upconversion and noise reduction on MPEG-signals which are decoded in a receiver-based module called 'set top box'. In this paper different models dealing with the interaction between 'set top box' and digital receiver are discussed. Hereby the influence of MPEG-artifacts on postprocessing are presented. A vector-based upconversion algorithm which applied nonlinear center weighted median filters is presented. Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. Hereby a very robust vector error tolerant upconversion method which significantly improves the interpopulation quality is achieved. This paper describes also a concept for temporal recursive noise and MPEG-artifact filtering on TV images based on visual noise perception characteristics. Different procedures in the spatial subbands lead to results well matched to the requirements of the human visual system. Using a subband-based noise filter temporally non-correlated MPEG-artifacts can significantly be reduced. Image analysis using object recognition for video postprocessing becomes more important. Therefore a morphological, contour-based multilevel object recognition method which even stays robust in strongly corrupted MPEG-2 images is also introduced.
AB - Digital transmission of video signals and block-based coding/decoding schemes produce new artifacts such as blocking, dirty window, ringing and mosquite effects. These artifacts become worse with decreasing MPEG-2 data rates. Therefore the reduction of MPEG-artifacts becomes an attractive feature for digital TV-receivers. On the other hand an important feature for digital receivers is the performance of their postprocessing techniques such as object recognition, motion estimation, vector-based upconversion and noise reduction on MPEG-signals which are decoded in a receiver-based module called 'set top box'. In this paper different models dealing with the interaction between 'set top box' and digital receiver are discussed. Hereby the influence of MPEG-artifacts on postprocessing are presented. A vector-based upconversion algorithm which applied nonlinear center weighted median filters is presented. Assuming a 2-channel model of the human visual system with different spatio temporal characteristics, errors of the separated channels can be orthogonalized and avoided by an adequate splitting of the spectrum. Hereby a very robust vector error tolerant upconversion method which significantly improves the interpopulation quality is achieved. This paper describes also a concept for temporal recursive noise and MPEG-artifact filtering on TV images based on visual noise perception characteristics. Different procedures in the spatial subbands lead to results well matched to the requirements of the human visual system. Using a subband-based noise filter temporally non-correlated MPEG-artifacts can significantly be reduced. Image analysis using object recognition for video postprocessing becomes more important. Therefore a morphological, contour-based multilevel object recognition method which even stays robust in strongly corrupted MPEG-2 images is also introduced.
KW - Artifact reduction
KW - Morphological erosion
KW - Motion estimation
KW - MPEG-2
KW - MPEG-2 artifacts
KW - Noise reduction
KW - Object recognition
KW - Postprocessing
KW - Spatial subband processing
KW - Upconversion
UR - http://www.scopus.com/inward/record.url?scp=57749110557&partnerID=8YFLogxK
U2 - 10.1117/12.263197
DO - 10.1117/12.263197
M3 - Conference contribution
AN - SCOPUS:57749110557
T3 - Proceedings of SPIE - The International Society for Optical Engineering
SP - 1176
EP - 1187
BT - Visual Communications and Image Processing '97
T2 - Visual Communications and Image Processing '97
Y2 - 12 February 1997 through 12 February 1997
ER -