JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Progressive Image Coding on Noisy Channels
DCC '97 Proceedings of the Conference on Data Compression
AN EFFICIENT JOINT SOURCE-CHANNEL RATE ALLOCATION SCHEME FOR JPEG2000 CODESTREAMS
DCC '03 Proceedings of the Conference on Data Compression
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
DCC '02 Proceedings of the Data Compression Conference
Progressive transmission of images over memoryless noisy channels
IEEE Journal on Selected Areas in Communications
Operational rate-distortion performance for joint source and channel coding of images
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Efficient channel protection for JPEG2000 bitstream
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
The latest wavelet-based image compression standard, JPEG2000, provides five different progressive modes. Due to the embedded structure used in the codestream syntax, the received bits after transmitting over noisy channels exhibit severe error sensitivity and experience error propagation. In this paper, we propose an efficient JPEG2000 transmission system with separate design methods for image header and data packets. First, two hybrid FEC/ARQ schemes operating over an AWGN channel to realize near error-free transmission of the image header are studied. Second, compressed data packets for different quality layers are protected using an unequal error protection (UEP) method. A set of rate compatible punctured turbo codes (RCPT) is used for forward error correction. In addition to the rate-distortion based rate allocation models, a practical channel segmentation method, which avoids the complicated optimization computation, is presented for code rate selection based on channel operating regions. Using simulation methods, it has been found that the choice of code rates is best guided by segmentation of the SNR into operating regions of the AWGN channel. Experimental results show that the proposed system outperforms systems using equal error protection (EEP) up to 9 dB while significantly reducing the computation complexity compared to other UEP systems. One major contribution of the system developed in this paper is the separate treatments of the compressed data in the JPEG2000 codestream. Another contribution is that of a rate selection method for practical channel codes. The resulting system design approach yields improved overall image transmission quality with minimal bandwidth expansion.