Abstract
Image compression relies on efficient representations of images, and within smooth image regions, the wavelet transform provides such a representation. However, near edges, wavelet coefficients decay slowly and are expensive to code. This paper focuses on improving the transform by incorporating adaptivity. Construction of nonlinear filter banks is discussed and how to use the nonlinearities is presented by describing the transform via lifting, which provides a spatial domain framework for the wavelet transform.
| Original language | English (US) |
|---|---|
| Title of host publication | Data Compression Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 537 |
| Number of pages | 1 |
| State | Published - 1998 |
| Event | Proceedings of the 1998 Data Compression Conference, DCC - Snowbird, UT, USA Duration: Mar 30 1998 → Apr 1 1998 |
Other
| Other | Proceedings of the 1998 Data Compression Conference, DCC |
|---|---|
| City | Snowbird, UT, USA |
| Period | 3/30/98 → 4/1/98 |
ASJC Scopus subject areas
- Hardware and Architecture
- Electrical and Electronic Engineering