Abstract
Digital video pre-processing aims to eliminate the image noise that reduces the overall compression performance while preserving the visual quality of the image sequence. This paper extends our work on attribute morphology pre-processing to multidimensional spatio-temporal filters using both the standard volumetric approach and a sliding window implementation. A novel combination of spatial and spatio-temporal filters, each with their own attribute limits, is introduced and produces the best overall peak signal to noise ratio performance. The recently proposed power attribute is also shown to out-perform the area attribute.
| Original language | English |
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| Pages | 89-92 |
| Number of pages | 4 |
| Publication status | Published - 2003 |
| Event | Visual Information Engineering, 2003. VIE 2003. International Conference on - Duration: 1 Jan 2003 → … |
Conference
| Conference | Visual Information Engineering, 2003. VIE 2003. International Conference on |
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| Period | 1/01/03 → … |
Keywords
- digital video pre-processing
- spatial filters
- image sequence
- multi-dimensional attribute morphology
- overall peak signal to noise ratio performance
- image sequences
- compression performance
- mathematical morphology
- image noise elimination
- power attribute
- sliding window
- video signal processing
- attribute limits
- standard volumetric approach
- image denoising
- multidimensional spatio-temporal filters
- visual quality