Abstract
We present a wavelet image coder based on an explicit model of the conditional statistical relationships between coefficients in different subbands. In particular, we construct a parameterized model for the conditional probability of a coefficient given coefficients at a coarser scale. Sub-band coefficients are encoded one bitplane at a time using a non-adaptive arithmetic encoder. The overall ordering of bitplanes is determined by the ratio of their encoded variance to compressed size. We show rate-distortion comparisons of the coder to first and second-order theoretical entropy bounds and the EZW coder. The coder is inherently embedded, and should prove useful in applications requiring progressive transmission.
Original language | English (US) |
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Title of host publication | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
Editors | Anon |
Publisher | IEEE |
Pages | 2957-2960 |
Number of pages | 4 |
Volume | 4 |
State | Published - 1997 |
Event | Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger Duration: Apr 21 1997 → Apr 24 1997 |
Other
Other | Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) |
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City | Munich, Ger |
Period | 4/21/97 → 4/24/97 |
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ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering
- Acoustics and Ultrasonics
Cite this
Progressive wavelet image coding based on a conditional probability model. / Buccigrossi, Robert W.; Simoncelli, Eero.
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. ed. / Anon. Vol. 4 IEEE, 1997. p. 2957-2960.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Progressive wavelet image coding based on a conditional probability model
AU - Buccigrossi, Robert W.
AU - Simoncelli, Eero
PY - 1997
Y1 - 1997
N2 - We present a wavelet image coder based on an explicit model of the conditional statistical relationships between coefficients in different subbands. In particular, we construct a parameterized model for the conditional probability of a coefficient given coefficients at a coarser scale. Sub-band coefficients are encoded one bitplane at a time using a non-adaptive arithmetic encoder. The overall ordering of bitplanes is determined by the ratio of their encoded variance to compressed size. We show rate-distortion comparisons of the coder to first and second-order theoretical entropy bounds and the EZW coder. The coder is inherently embedded, and should prove useful in applications requiring progressive transmission.
AB - We present a wavelet image coder based on an explicit model of the conditional statistical relationships between coefficients in different subbands. In particular, we construct a parameterized model for the conditional probability of a coefficient given coefficients at a coarser scale. Sub-band coefficients are encoded one bitplane at a time using a non-adaptive arithmetic encoder. The overall ordering of bitplanes is determined by the ratio of their encoded variance to compressed size. We show rate-distortion comparisons of the coder to first and second-order theoretical entropy bounds and the EZW coder. The coder is inherently embedded, and should prove useful in applications requiring progressive transmission.
UR - http://www.scopus.com/inward/record.url?scp=0030676575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030676575&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0030676575
VL - 4
SP - 2957
EP - 2960
BT - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
A2 - Anon, null
PB - IEEE
ER -