The topic of stereo video is getting more attention among these days due to its high quality of visual effect. However, the large volume of data is the problem of its application. There is much similarity between the parallax videos. This similarity is obtained by a shape compensation technique. The topic of this thesis is to investigate a compression technique by on the shape compensation stereo video data.
The shape transformation in this paper is coded by the kinds of morphological operations to be applied. This processing is a type of operation by which the spatial form or structure of objects within an image are modified. Morphological operation is usually applied to the binary images. There are two problems for the selection of the optimal morphological filter: the collection of the candidate filters and the sources of the voters. For the gray level images the mask operation is changed to be the more complex window weighting operation. By a strategy of slicing the image umbrella, our masked gray morphological operation is also more computation-efficient than the regular gray morphological operation.
Experimental results in this thesis have demonstrated that shape compensation is more efficient than motion compensation for the secondary (right) video sequence.
Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0905105-071023 |
Date | 05 September 2005 |
Creators | Chen, Chi-Hung |
Contributors | Chin-Hsing Chen, Ben-Shung Chow, Rung-Hung Gau |
Publisher | NSYSU |
Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
Language | Cholon |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0905105-071023 |
Rights | not_available, Copyright information available at source archive |
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