Abstract
Images typically contain strong geometric features, such as edges, that impose a structure on pixel values and wavelet coefficients. Modeling the joint coherent behavior of wavelet coefficients is difficult, and standard image coders fail to fully exploit this geometric regularity. We introduce wedgelets as a geometric tool for image compression. Wedgelets offer piecewise-linear approximations of edge contours and can be efficiently encoded. We describe the fundamental challenges that arise when applying such a tool to image compression. To meet these challenges, we also propose an efficient rate-distortion framework for natural image compression using wedgelets.
| Original language | English (US) |
|---|---|
| Title of host publication | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
| Editors | M.B. Matthews |
| Pages | 1725-1729 |
| Number of pages | 5 |
| Volume | 2 |
| State | Published - 2002 |
| Event | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers - Pacific Groove, CA, United States Duration: Nov 3 2002 → Nov 6 2002 |
Other
| Other | The Thirty-Sixth Asilomar Conference on Signals Systems and Computers |
|---|---|
| Country | United States |
| City | Pacific Groove, CA |
| Period | 11/3/02 → 11/6/02 |
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Signal Processing
- Hardware and Architecture