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Optimization in Computational Imaging and Inverse Problems
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(Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Lieferstatus: |
 i.d.R. innert 14-24 Tagen versandfertig |
| Veröffentlichung: |
März 2014
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| Genre: |
Naturwissensch., Medizin, Technik |
| ISBN: |
9781304969699 |
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EAN-Code:
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9781304969699 |
| Verlag: |
Lulu.com |
| Einband: |
Gebunden |
| Sprache: |
English
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| Dimensionen: |
H 235 mm / B 157 mm / D 13 mm |
| Gewicht: |
400 gr |
| Seiten: |
154 |
| Zus. Info: |
HC gerader Rücken mit Schutzumschlag |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
| Doctoral Dissertation, University of California, San Diego, 2014.
With modern optimization techniques it is generally possible to form some kind of image estimate using an arbitrary collection of views or sensor measurements of an unknown object. The question is what is the best result that one can get with that data and will it be acceptable? We use optimization theory to analyze inverse problems such as this and formulate strategies for understanding how much high resolution information is contained in the data and how to intelligently reconstruct the best image possible. |
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