JOURNAL ARTICLE

Joint source/channel coding for image transmission with JPEG2000 over memoryless channels

Zhenyu WuAli BilginMichael W. Marcellin

Year: 2005 Journal:   IEEE Transactions on Image Processing Vol: 14 (8)Pages: 1020-1032   Publisher: Institute of Electrical and Electronics Engineers

Abstract

The high compression efficiency and various features provided by JPEG2000 make it attractive for image transmission purposes. A novel joint source/channel coding scheme tailored for JPEG2000 is proposed in this paper to minimize the end-to-end image distortion within a given total transmission rate through memoryless channels. It provides unequal error protection by combining the forward error correction capability from channel codes and the error detection/localization functionality from JPEG2000 in an effective way. The proposed scheme generates quality scalable and error-resilient codestreams. It gives competitive performance with other existing schemes for JPEG2000 in the matched channel condition case and provides more graceful quality degradation for mismatched cases. Furthermore, both fixed-length source packets and fixed-length channel packets can be efficiently formed with the same algorithm.

Keywords:
Computer science JPEG 2000 Forward error correction Channel (broadcasting) Error detection and correction Image quality Image compression Multiple description coding Transmission (telecommunications) Bit error rate Network packet Coding (social sciences) Algorithm Decoding methods Computer network Image (mathematics) Image processing Artificial intelligence Telecommunications Mathematics

Metrics

43
Cited By
4.53
FWCI (Field Weighted Citation Impact)
29
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

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