Abstract
A new, error-tolerant, still image compression algorithm is described. An error-resilient adaptation of an existing zerotree wavelet coder is used to compress the image. Then, a variable-rate, concatenated error correction code is applied to protect the data further. Variable-rate protection exploits the progressive coding ability of the compressor, encouraging uncorrected errors to appear in the least significant portions of the bit-stream during decoding, which lessens their effect on the final image. The error-resilient organisation of the information inhibits the propagation of uncorrected errors, ensuring graceful degradation of the image over a wide range of bit error rates. Results for the popular 512 x 512 'Lena' image are presented, showing notable improvements over previously published algorithms.
| Original language | English |
|---|---|
| Pages (from-to) | 182-186 |
| Number of pages | 5 |
| Journal | IEE Proceedings - Vision, Image & Signal Processing |
| Volume | 148 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Jan 2001 |
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