Handbook of mathematical models and algorithms in computer vision and imaging : mathematical imaging and vision / Ke Chen, Carola-Bibiane Schönlieb, Xue-Cheng Tai, Laurent Younes, editors.

This handbook gathers together the state of the art on mathematical models and algorithms for imaging and vision. Its emphasis lies on rigorous mathematical methods, which represent the optimal solutions to a class of imaging and vision problems, and on effective algorithms, which are necessary for...

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Bibliographic Details
Other Authors: Chen, Ke, 1962- (Editor), Schönlieb, Carola-Bibiane, 1979- (Editor), Tai, Xue-Cheng (Editor), Younes, Laurent, 1963- (Editor)
Format: eBook
Language:English
Published: Cham : Springer, 2023.
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Table of Contents:
  • 1. An Overview of SaT Segmentation Methodology and Its Applications in Image Processing
  • 2. Analysis of different losses for deep learning image colorization
  • 3. Blind phase retrieval with fast algorithms
  • 4. Bregman Methods for Large-Scale Optimisation with Applications in Imaging
  • 5. Connecting Hamilton-Jacobi Partial Differential Equations with Maximum a Posteriori and Posterior Mean Estimators for Some Non-convex Priors
  • 6. Convex non-Convex Variational Models
  • 7. Data-Informed Regularization for Inverse and Imaging Problems
  • 8. Diffraction Tomography, Fourier Reconstruction, and Full Waveform Inversion
  • 9. Domain Decomposition for Non-smooth (in Particular TV) Minimization
  • 10. Fast numerical methods for image segmentation models.