Abstract
Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. Current techniques use exhaustive search procedures that are computationally intensive to find the `optimal' basis (type,order,tree). In this paper, we propose some guidelines based on the statistics of the image to be coded, for determining the need to search for the `optimal' wavelets as well as the improvement that can be achieved by using the `optimal' over `standard' wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed.
| Original language | English (US) |
|---|---|
| Title of host publication | Proc IEEE SP Int Symp Time Freq Time Scale Anal |
| Editors | Anon |
| Publisher | IEEE |
| Pages | 338-341 |
| Number of pages | 4 |
| State | Published - 1994 |
| Externally published | Yes |
| Event | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis - Philadelphia, PA, USA Duration: Oct 25 1994 → Oct 28 1994 |
Other
| Other | Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis |
|---|---|
| City | Philadelphia, PA, USA |
| Period | 10/25/94 → 10/28/94 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
Wavelets for image compression. / Mandal, M. K.; Panchanathan, Sethuraman; Aboulnasr, T.
Proc IEEE SP Int Symp Time Freq Time Scale Anal. ed. / Anon. IEEE, 1994. p. 338-341.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Wavelets for image compression
AU - Mandal, M. K.
AU - Panchanathan, Sethuraman
AU - Aboulnasr, T.
PY - 1994
Y1 - 1994
N2 - Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. Current techniques use exhaustive search procedures that are computationally intensive to find the `optimal' basis (type,order,tree). In this paper, we propose some guidelines based on the statistics of the image to be coded, for determining the need to search for the `optimal' wavelets as well as the improvement that can be achieved by using the `optimal' over `standard' wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed.
AB - Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. Current techniques use exhaustive search procedures that are computationally intensive to find the `optimal' basis (type,order,tree). In this paper, we propose some guidelines based on the statistics of the image to be coded, for determining the need to search for the `optimal' wavelets as well as the improvement that can be achieved by using the `optimal' over `standard' wavelets. The proposed guidelines can be used to find a good initial guess for the exhaustive search if the optimal basis is needed.
UR - http://www.scopus.com/inward/record.url?scp=0028728713&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028728713&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0028728713
SP - 338
EP - 341
BT - Proc IEEE SP Int Symp Time Freq Time Scale Anal
A2 - Anon, null
PB - IEEE
ER -