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):

• Radpour,A.
• Ingle ,V.
• Kaufman,H.
• Woods,J.

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:

• *IMAGE PROCESSING
• *ADAPTIVE FILTERS
• *NOISE REDUCTION
• *IMAGE RESTORATION
• ALGORITHMS
• SIGNAL TO NOISE RATIO
• KALMAN FILTERING
• LEAST SQUARES METHOD

Subject Categories:

• Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE