Abstract
It has been proposed that resolution progressiveness is one of the most important techniques for image compression. In this paper, we offer a new resolution progressive coding method. The main point stresses on the way how to exploit self-similarity across different scales of wavelet transform(WT) by sorting the coefficients. Wavelet transformed images inherently have correlation between subbands at different levels in a spatial decomposition hierarchy, and thus exploiting the correlation of the hierarchy helps to compress the amount of information of images. A number of methods with SNR progressive coding have been presented so far; however, this proposed method concerns resolution progressiveness as well as SNR progressiveness, which can be only applied in each subband, and still effective and computationally very simple for image compression.
| Original language | English |
|---|---|
| Pages | [d]198-201 |
| Publication status | Published - 2000 Dec 1 |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: 2000 Sept 10 → 2000 Sept 13 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 00/9/10 → 00/9/13 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering