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Two-dimensional signal processing with application to image restoration
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Assefi, T. |
| Copyright Year | 1974 |
| Description | A recursive technique for modeling and estimating a two-dimensional signal contaminated by noise is presented. A two-dimensional signal is assumed to be an undistorted picture, where the noise introduces the distortion. Both the signal and the noise are assumed to be wide-sense stationary processes with known statistics. Thus, to estimate the two-dimensional signal is to enhance the picture. The picture representing the two-dimensional signal is converted to one dimension by scanning the image horizontally one line at a time. The scanner output becomes a nonstationary random process due to the periodic nature of the scanner operation. Procedures to obtain a dynamical model corresponding to the autocorrelation function of the scanner output are derived. Utilizing the model, a discrete Kalman estimator is designed to enhance the image. |
| File Size | 1368477 |
| Page Count | 19 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19740025968 |
| Archival Resource Key | ark:/13960/t3324qb4v |
| Language | English |
| Publisher Date | 1974-09-01 |
| Access Restriction | Open |
| Subject Keyword | Signal To Noise Ratios Recursive Functions Scanners Signal Processing Mathematical Models Kalman Filters Image Enhancement Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
