Split and merge codebook design algorithms for image compression
β Scribed by Liu, Zhiying
- Book ID
- 121311426
- Publisher
- The International Society for Optical Engineering
- Year
- 2000
- Tongue
- English
- Weight
- 440 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1017-9909
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π SIMILAR VOLUMES
In order to alleviate the problem of local convergence of the usual EM algorithm, a split-and-merge operation is introduced into the EM algorithm for Gaussian mixtures. The split-and-merge equations are ΓΏrst presented theoretically. These equations show that the merge operation is a well-posed probl
In this paper, an image is modelled as a two and a half-dimensional surface and an approximated surface for the image is formed by triangular patches. A new two-dimensional split and merge algorithm (2DSM) for generating the approximated surface has been devised. The algorithm iteratively improves t
The maximum-likelihood estimate of a mixture model is usually found by using the EM algorithm. However, the EM algorithm suffers from the local-optimum problem and therefore we cannot obtain the potential performance of mixture models in practice. In the case of mixture models, local maxima often in