Feature-Oriented Multiple Description Wavelet-Based Image Coding

We address the problem of resilient image coding over error-prone networks where packet losses occur. Recent literature highlights the multiple description coding (MDC) as a promising approach to solve this problem. In this paper, we introduce a novel wavelet-based multiple description image coder,...

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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 16; no. 1; pp. 121 - 131
Main Authors: Liu, Y., Oraintara, S.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.01.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Applied sciences
Centralized control
Channels
Coders
Data Compression - methods
Error concealment
Exact sciences and technology
Image coding
Image communication
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image transmission
Information, signal and communications theory
Miscellaneous
multiple description coding (MDC)
Numerical Analysis, Computer-Assisted
Propagation losses
Quantization
Rate-distortion
Robustness
Samples
Sampling, quantization
scalar quantizer
Signal and communications theory
Signal processing
Signal Processing, Computer-Assisted
Statistical methods
Statistics
Streaming media
Telecommunications and information theory
tree-pruning
Wavelet coefficients
wavelet-based image coding
State of the art
Image processing
Error concealment
scalar quantizer
Data transmission
multiple description coding (MDC)
Multimedia communication
Optimization
Multiple image
Image coding
Signal quantization
Packet switched network
Packet switching
Coding errors
Rate distortion theory
wavelet-based image coding
Statistical method
tree-pruning
Wavelet transformation
Telecommunication network
Signal processing
Quantifier
Error correction
Image transmission
Transmission loss
ISSN:1057-7149, 1941-0042
Online Access:Get full text
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Summary:We address the problem of resilient image coding over error-prone networks where packet losses occur. Recent literature highlights the multiple description coding (MDC) as a promising approach to solve this problem. In this paper, we introduce a novel wavelet-based multiple description image coder, referred to as the feature-oriented MDC (FO-MDC). The proposed multiple description (MD) coder exploits the statistics of the wavelet coefficients and identifies the subsets of samples that are sensitive to packet loss. A joint optimization between tree-pruning and quantizer selection in the rate-distortion sense is used in order to allocate more bits to these sensitive coefficients. When compared with the state-of-the-art MD scalar quantization coder, the proposed FO-MDC yields a more efficient central-side distortion tradeoff control mechanism. Furthermore, it proves to be more robust for image transmission even with high packet loss ratios, which makes it suitable for protecting multimedia streams over packet-erasure channels
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ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2006.884935