JOURNAL ARTICLE

Transmission of images over noisy channels using error-resilient wavelet coding and forward error correction

N.V. BoulgourisNikolaos ThomosM.G. Strintzis

Year: 2003 Journal:   IEEE Transactions on Circuits and Systems for Video Technology Vol: 13 (12)Pages: 1170-1181   Publisher: Institute of Electrical and Electronics Engineers

Abstract

A novel embedded wavelet coding scheme is proposed for the transmission of images over unreliable channels. The proposed scheme is based on the partitioning of information into a number of layers which can be decoded independently provided that some important and highly protected information is initially errorlessly transmitted to the decoder. Forward Error Correction is used in conjunction with the error-resilient source coder for the protection of the compressed stream. Unlike many other robust coding schemes presented to-date, the proposed scheme is able to decode portions of the bitstream even after the occurrence of uncorrectable errors. This coding strategy is very suitable for application with block coding schemes such as defined by the JPEG2000 standard. The proposed scheme is compared with other robust image coders and is shown to be very suitable for transmission of images over memoryless channels.

Keywords:
Bitstream Computer science Coding (social sciences) Decoding methods Error detection and correction JPEG 2000 Algorithm Forward error correction Variable-length code Transmission (telecommunications) Multiple description coding Wavelet Data compression Set partitioning in hierarchical trees Image compression Wavelet transform Artificial intelligence Image processing Image (mathematics) Discrete wavelet transform Mathematics Telecommunications

Metrics

29
Cited By
2.62
FWCI (Field Weighted Citation Impact)
35
Refs
0.91
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
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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