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Multiresolution source coding using entropy constrained dithered scalar quantization
- Publication Year :
- 2004
-
Abstract
- In this paper, we build multiresolution source codes using entropy constrained dithered scalar quantizers. We demonstrate that for n-dimensional random vectors, dithering followed by uniform scalar quantization and then by entropy coding achieves performance close to the n-dimensional optimum for a multiresolution source code. Based on this result, we propose a practical code design algorithm and compare its performance with that of the set partitioning in hierarchical trees (SPIHT) algorithm on natural images.
Details
- Database :
- OAIster
- Notes :
- application/pdf, Multiresolution source coding using entropy constrained dithered scalar quantization, English
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1002704131
- Document Type :
- Electronic Resource