Source and Channel Coding: An Algorithmic Approach
Source and Channel Coding: An Algorithmic Approach
Image Transmission Using Arithmetic Coding Based Continuous Error Detection
DCC '98 Proceedings of the Conference on Data Compression
An overview of the basic principles of the Q-Coder adaptive binary arithmetic coder
IBM Journal of Research and Development - Q-Coder adaptive binary arithmetic coder
JPEG 2000 backward compatible error protection with Reed-Solomon codes
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A syntax-preserving error resilience tool for JPEG 2000 based on error correcting arithmetic coding
IEEE Transactions on Image Processing
Hi-index | 0.00 |
Features of the JPEG2000 compression standard include coding efficiency at low bit rates. However, its compressed bit stream is sensitive to transmission error. This paper presents three techniques to reduce both the computational complexity and the memory requirement in the ternary MQ arithmetic decoding. Such coders introduce a controlled degree of redundancy during the encoding process, which can be exploited at the decoder side in order to detect and correct errors. Our proposed techniques result in a substantial saving of decoding time and memory usage, with no or little degradation in the PSNR metric.