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Published on: August 30, 2013
Operational rate-distortion performance for joint source and channel coding of images
1German Aerospace Research Establishment, Institute for Communications Technology, D-82234 Wessling, Germany.
Summary
This study presents a method to optimize image transmission by balancing source coding accuracy and channel error protection. The approach achieves near-theoretical performance for combined source-channel coding over noisy channels.
Area of Science:
- Digital image processing
- Information theory
- Coding theory
Background:
- Evaluating combined source and channel coding is crucial for efficient data transmission.
- Optimizing the trade-off between compression and error correction is a key challenge.
Purpose of the Study:
- To introduce a methodology for assessing the operational rate-distortion behavior of combined source-channel coding schemes for images.
- To demonstrate the optimal trade-off between source coding accuracy and channel error protection within a fixed bandwidth.
- To develop information-theoretic bounds and compare them with the proposed methodology's performance.
Main Methods:
- Utilizing the operational rate-distortion function to analyze coding schemes.
- Applying wavelet-based subband source coding.
- Employing binary rate-compatible punctured convolutional (RCPC) codes for transmission.
- Transmitting data over an additive white Gaussian noise (AWGN) channel.
Main Results:
- The proposed methodology effectively determines the optimum trade-off for fixed bandwidth transmission.
- Operational rate-distortion performance closely approaches developed information-theoretic bounds.
- The combined source-channel coding approach demonstrates high efficacy for real-world image transmission.
Conclusions:
- The developed methodology provides a robust framework for evaluating and optimizing combined source-channel coding for image transmission.
- The approach achieves performance close to theoretical limits, showcasing its practical applicability.
- Wavelet-based source coding and RCPC channel coding offer an effective solution for reliable image transmission over AWGN channels.
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