Hierarchical finite-state vector quantization for image coding
โ Scribed by Ping Yu; Venetsanopoulos, A.N.
- Book ID
- 117861175
- Publisher
- IEEE
- Year
- 1994
- Tongue
- English
- Weight
- 704 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0090-6778
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๐ SIMILAR VOLUMES
Finite state vector quantization (FSVQ) has been proven to be a high-quality and low-bit rate coding scheme. An FSVQ has achieved the efficiency of a small codebook (the state codebook) VQ while maintaining the quality of a large codebook (the master codebook) VQ. However, the large master codebook
The side-match finite-state vector quantization (SMVQ) schemes improve performance over the vector quantization by exploiting the neighboring vector correlations within the image. In this paper, we propose a neural network side-match finite-state vector quantization (NN-SMVQ) scheme that combines th