Name
Abstract | ||
|---|---|---|
Image processing strongly relies on the quality of the input images, as images of good quality can significantly decrease the development effort for image processing and analysis algorithms. A flexible acquisition system for image enhancement, which is able to operate in real time under changing brightness conditions, is suggested. The system is based on controlling the aperture of the lens, which makes it useable in combination with all types of image sensors. The control scheme is based on an adaptive image quality estimator and can be used for full images and regions of interest within images. We demonstrate the real-time performance of our approach for different static and dynamic in- and outdoor test scenarios with and without region of interest. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ACV.2002.1182201 | WACV |
Keywords | Field | DocType |
analysis algorithm,good quality,input image,image processing,adaptive aperture control,full image,adaptive image quality estimator,image acquisition,brightness condition,flexible acquisition system,image sensor,image enhancement,brightness,image quality,control systems,apertures,region of interest,feature extraction,real time systems,real time,algorithm design and analysis,image analysis,adaptive control | Aperture,Top-hat transform,Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Image quality,Image processing,Feature extraction,Artificial intelligence,Image restoration,Digital image processing | Conference |
ISBN | Citations | PageRank |
0-7695-1858-3 | 1 | 0.36 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Reinhold Huber | 1 | 42 | 3.60 |
| Christoph Nowak | 2 | 1 | 0.36 |
| Bernhard Spatzek | 3 | 1 | 1.04 |
| David Schreiber | 4 | 51 | 5.78 |