Abstract
In many applications such as in airborne and terrestrial reconnaissance, robotics, medical imaging, and machine vision systems, the images of a video sequence are severely distorted by vibrations. Superresolution algorithms are suitable for restoring an image from a low-frequency vibrated sequence because of high correlation between the frames and inherent interframe motion. However, we show in this work that superresolution algorithms which were developed for general types of blur should be adapted to the specific characteristics of low-frequency vibration blur. We demonstrate that in the case of image sequences distorted by vibration, the images should be selected prior to processing. We found empirical selection criteria and propose a selection procedure.
| Original language | English |
|---|---|
| Pages (from-to) | 224-233 |
| Number of pages | 10 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3808 |
| State | Published - 1 Dec 1999 |
| Event | Proceedings of the 1999 Applications of Digital Image Processing XXII - Denver, CO, USA Duration: 20 Jul 1999 → 23 Jul 1999 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering