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Side Information Generation Scheme Based on Coefficient Matrix Improvement Model in Transform Domain Distributed
1School of Information Science and Engineering, Yunnan University, Kunming 650000, China.
Entropy (Basel, Switzerland)
|December 22, 2020
Summary
This study introduces a new method to enhance side information quality in distributed video coding. The proposed coefficient matrix improvement model boosts video quality by 0.2-0.4 dB.
Area of Science:
- Video Compression
- Digital Signal Processing
- Information Theory
Background:
- Distributed video coding (DVC) relies on side information at the decoder.
- Improving side information quality is crucial for DVC performance.
- Existing methods face challenges in efficiently generating high-quality side information.
Purpose of the Study:
- To propose a novel side information generation scheme for DVC.
- To enhance the quality of side information using a coefficient matrix improvement model.
- To improve the overall performance of distributed video coding systems.
Main Methods:
- Dividing encoder-side Wyner-Ziv frame DCT coefficient bands.
- Sampling coefficients for adaptive arithmetic encoding and LDPC-AC encoding for parity bits.
- Using optical flow for initial side information generation and a coefficient matrix improvement model for refinement at the decoder.
Main Results:
- The proposed scheme effectively improves side information quality.
- An average quality improvement of 0.2-0.4 dB was achieved.
- Overall distributed video coding system performance was enhanced.
Conclusions:
- The coefficient matrix improvement model offers a significant advancement in DVC.
- The method provides a practical approach to boost video compression efficiency.
- This technique is valuable for applications requiring high-quality video transmission with limited bandwidth.
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