Optimization Techniques in Computer Vision Ill-Posed Problems and Regularization

Optimization Techniques in Computer Vision Ill-Posed Problems and Regularization / by Mongi A. Abidi, Andrei V. Gribok, Joonki Paik.

This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives th...

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Bibliographic Details
Main Authors: Abidi, Mongi A. (Author), Gribok, Andrei V. (Author), Paik, Joonki (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Advances in Computer Vision and Pattern Recognition,
Springer eBook Collection.
Subjects:
Optical data processing.
Signal processing.
Image processing.
Speech processing systems.
Algorithms.
Computer science—Mathematics.
Computer mathematics.
Electronic resources (E-books)
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Call Number: E-Book
Status: Available

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