Accession Number:
ADA055827
Title:
Adaptive Kalman Type Estimation Applied to Image Processing.
Descriptive Note:
Interim rept.,
Corporate Author:
RENSSELAER POLYTECHNIC INST TROY N Y DEPT OF ELECTRICAL AND SYSTEMS ENGINEERING
Personal Author(s):
Report Date:
1978-06-14
Pagination or Media Count:
6.0
Abstract:
Because of the stochastic and nonstationary nature of image processes, an adaptive estimation algorithm is proposed and evaluated for on-line filtering of an image scanned in a raster pattern. This algorithm combines a least squares parameter identification procedure with a two-dimensional reduced update Kalman filter. Results using an image with a 3 dB signal to noise ratio indicate that this adaptive algorithm is very effective for image restoration. Author
Descriptors:
Subject Categories:
- Human Factors Engineering and Man Machine Systems