Newton type optimization for maximum likelihood blur identification and restoration
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Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, we formulate the blur identification problem as a ML problem and solve by employing a Newton type optimization method based on "The Method of Scoring". We provide a comparative analysis of EM and Newton type optimization methods. © 2022 Elsevier B.V., All rights reserved.
Açıklama
2002 IEEE International Conference on Acoustic, Speech, and Signal Processing -- Orlando, FL -- 58541
Anahtar Kelimeler
Algorithms, Error analysis, Mathematical models, Maximum likelihood estimation, Optimization, Problem solving, Maximum likelihood blur identification, Newton type optimization, Image reconstruction
Kaynak
Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
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4
