Title :
A new method of robust image compression based on the embedded zerotree wavelet algorithm
Author :
Creusere, Charles D.
Author_Institution :
Weapons Div., Naval Air Warfare Center, China Lake, CA, USA
fDate :
10/1/1997 12:00:00 AM
Abstract :
We propose a wavelet-based image compression algorithm that achieves robustness to transmission errors by partitioning the transform coefficients into groups and independently processing each group using an embedded coder. Thus, a bit error in one group does not affect the others, allowing more uncorrupted information to reach the decoder
Keywords :
coding errors; computational complexity; data compression; error statistics; image coding; transform coding; trees (mathematics); wavelet transforms; BER; bit error rate; channel errors; complexity issues; decoder; embedded coder; embedded zerotree wavelet algorithm; robust image compression; transform coefficients; transmission errors; wavelet based image compression algorithm; Algorithm design and analysis; Decoding; Image coding; Image resolution; Partitioning algorithms; Performance analysis; Robustness; Spatial resolution; Wavelet transforms; Web and internet services;
Journal_Title :
Image Processing, IEEE Transactions on
