QC 351 A7 no. 67 / Given M sampled image values, what can be deduced as the most likely object? We find the most likely object to be represented by a restoring formula that is positive and not bandlimited. Using computer simulation, we test this restoring formula upon noisy images due to star fields and randomly stepped objects. In all test cases involving star fields, the maximum-likelihood restorations have significantly higher resolution than do corresponding restorations by inverse filtering. Further, there is no spurious detail in the maximum-likelihood restorations when the star image has noise of about 5% (or less). This lack of spurious detail does not, however, hold in restoring the randomly stepped objects. In the first test of the method upon experimental data, some spectroscopic data are restored, again with enhanced resolution. For example, what appears as a single line in the data is restored as a doublet.
| Identifer | oai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/621671 |
| Date | 02 1900 |
| Creators | Frieden, B. Roy |
| Publisher | Optical Sciences Center, University of Arizona (Tucson, Arizona) |
| Source Sets | University of Arizona |
| Language | en_US |
| Detected Language | English |
| Type | Technical Report |
| Rights | Copyright © Arizona Board of Regents |
| Relation | Optical Sciences Technical Report 67 |
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