Hierarchical Lattice Vector Quantisation Of Wavelet Transformed Images (1999)
Abstract / truncated to 115 words
The objectives of the research were to develop embedded and non-embedded lossy coding algorithms for images based on lattice vector quantisation and the discrete wavelet transform. We also wanted to develop context-based entropy coding methods (as opposed to simple first order entropy coding). The main objectives can therefore be summarised as follows: (1) To develop algorithms for intra and inter-band formed vectors (vectors with coefficients from the same sub-band or across different sub-bands) which compare favourably with current high performance wavelet based coders both in terms of rate/distortion performance of the decoded image and also subjective quality; (2) To develop new context-based coding methods (based on vector quantisation). The alternative algorithms we have developed fall ...
Information
- Author
- Vij, Madhav
- Institution
- University of Cambridge, Department of Engineering, Signal Processing Group
- Supervisor
- Publication Year
- 1999
- Upload Date
- July 3, 2008
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