Regularization and Bayesian methods for inverse problems in signal and image processing /
The focus of this book is on "ill-posed inverseproblems". These problems cannot be solved only on the basisof observed data. The building of solutions involves therecognition of other pieces of a priori information. Thesesolutions are then specific to the pieces of information taken intoac...
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| Other Authors: | , |
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
London : Hoboken, NJ :
ISTE ; Wiley,
2015.
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| Series: | Digital signal and image processing series.
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| Subjects: | |
| Online Access: |
Full text (Emmanuel users only) |
| Summary: | The focus of this book is on "ill-posed inverseproblems". These problems cannot be solved only on the basisof observed data. The building of solutions involves therecognition of other pieces of a priori information. Thesesolutions are then specific to the pieces of information taken intoaccount. Clarifying and taking these pieces of information intoaccount is necessary for grasping the domain of validity and thefield of application for the solutions built. For too long, the interest in these problems has remained very limited in thesignal-image community. However, the community has since recog |
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| Physical Description: | 1 online resource |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781118827079 1118827074 9781118827253 1118827252 1848216378 9781848216372 9781322950129 1322950121 |
| Source of Description, Etc. Note: | Online resource; title from PDF title page (Ebsco, viewed February 10, 2015). |