Codebook organization to enhance maximum a posteriori detection of progressive transmission of vector quantized images over noisy channels
- 1 January 1996
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Image Processing
- Vol. 5 (1) , 37-48
- https://doi.org/10.1109/83.481669
Abstract
We describe a new way to organize a full search vector quantization codebook so that images encoded with it can be sent progressively and have immunity against channel noise. Due to the codebook organization, the most significant bits (MSBs) of the codeword index are most important to the overall image quality and are highly correlated. Simulations show that the effective channel error rates of the MSBs can be substantially lowered by implementing a Maximum A Posteriori (MAP) detector similar to one suggested by Phamdo and Farvardin [3]. The performance of the scheme is close to that of Pseudo-Gray [6] coding at low bit error rates and outperforms it at higher error rates.Keywords
This publication has 15 references indexed in Scilit:
- Robust zero-redundancy vector quantization for noisy channelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Ordered neural maps and their applications to data compressionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Index assignment for progressive transmission of full-search vector quantizationIEEE Transactions on Image Processing, 1994
- Optimal detection of discrete Markov sources over discrete memoryless channels-applications to combined source-channel codingIEEE Transactions on Information Theory, 1994
- Address‐Predictive Vector Quantization of Images by Topology‐Preserving Codebook OrderingEuropean Transactions on Telecommunications, 1993
- A unified approach to tree-structured and multistage vector quantization for noisy channelsIEEE Transactions on Information Theory, 1993
- Use of residual redundancy in the design of joint source/channel codersIEEE Transactions on Communications, 1991
- A study of vector quantization for noisy channelsIEEE Transactions on Information Theory, 1990
- Progressive Image Transmission: A Review And Comparison Of TechniquesOptical Engineering, 1987
- Vector quantizationIEEE ASSP Magazine, 1984