Abstract
In previous work [2] we considered the problem of image interpolation from an adaptive optimal recovery point of view. We showed how a training set S determines a quadratic signal class and how to use this signal class to perform image interpolation. In [2] the training set S was taken from the low resolution version of the image we were interpolating. In this paper we continue our discussion of the method presented in [2] by looking more closely at the training set S. In particular, we will show how a training set of high resolution images can give very good interpolation results through the use of the method [2].
| Original language | English |
|---|---|
| Pages | III/373-III/376 |
| State | Published - 2002 |
| Event | International Conference on Image Processing (ICIP'02) - Rochester, NY, United States Duration: Sep 22 2002 → Sep 25 2002 |
Conference
| Conference | International Conference on Image Processing (ICIP'02) |
|---|---|
| Country/Territory | United States |
| City | Rochester, NY |
| Period | 9/22/02 → 9/25/02 |
ASJC Scopus subject areas
- Hardware and Architecture
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
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