JOURNAL ARTICLE

Adaptive Joint Source-Channel Coding for Motion JPEG2000 Sequences Transmission over Unknown Channels

Abstract

In the light of effective and reliable transmission of MJPEG2000 sequences through unknown channels, an adaptive joint source-channel coding scheme based on feedback is put forward in this paper. SNR of a channel is estimated in real time by using subspace-based estimation method, and the error bit rate is obtained accordingly. Then by fully using the different characteristics of the JPEG2000 bit stream packets, a target function is constructed, by which different protections are carried out for different packets according to their impacts on the quality of the reconstructed image. Thus an adaptive rate-allocation is realized in a lower complexity. Experiments results show that the present algorithm improves on the existing ones

Keywords:
Computer science Channel (broadcasting) JPEG 2000 Coding (social sciences) Network packet Transmission (telecommunications) Channel code Subspace topology Bitstream Bit error rate Algorithm Adaptive coding Decoding methods Joint (building) Artificial intelligence Data compression Image (mathematics) Mathematics Computer network Image processing Image compression Telecommunications Engineering

Metrics

1
Cited By
0.00
FWCI (Field Weighted Citation Impact)
9
Refs
0.11
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Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
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