Abstract
In this paper, we apply the complexity-regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between complexity-regularized estimation and rate-distortion theory. For computational tractability, we apply constrained coders such as JPEG or SPIHT to solve the optimization problem approximately. Also, we design a simple predictive coder which lends itself well to our optimization problem.
| Original language | English (US) |
|---|---|
| Pages | [d]254-257 |
| State | Published - 2000 |
| Event | International Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada Duration: Sep 10 2000 → Sep 13 2000 |
Other
| Other | International Conference on Image Processing (ICIP 2000) |
|---|---|
| Country/Territory | Canada |
| City | Vancouver, BC |
| Period | 9/10/00 → 9/13/00 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
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