JOURNAL ARTICLE

Scalable, highly efficient, and error resilient image transmission by using joint source-channel coding strategies

Abstract

In the paper, three error resilient coding schemes are proposed and integrated with our previously developed high performance significance-linked connected component analysis (SLCCA) wavelet image codec. First, the cross-scale significance-links that exploit cross-scale dependency are reduced thereby error resilience of the source codec is increased. Second, hierarchical resynchronization is applied, i.e., resynchronization markers are inserted in the bitstream after each bit-plane and possibly per each scale and/or subband. Third, bit-plane-wise unequal error protection is applied, with the parity bits being exponentially distributed among bit-planes. Extensive performance evaluation demonstrates that the proposed joint source-channel coding algorithm for image transmission is not only highly efficient but also highly robust.

Keywords:
Bitstream Computer science Bit plane Codec Bit error rate Decoding methods Scalability Parity bit Error detection and correction Algorithm Computer hardware Bit field

Metrics

0
Cited By
0.00
FWCI (Field Weighted Citation Impact)
15
Refs
0.24
Citation Normalized Percentile
Is in top 1%
Is in top 10%

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
Blind Source Separation Techniques
Physical Sciences →  Computer Science →  Signal Processing
© 2026 ScienceGate Book Chapters — All rights reserved.