Digital Functions and Data Reconstruction Digital-Discrete Methods /

• Main Author: Chen, Li M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Subjects: Computer science.; Computer graphics.; Discrete mathematics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Signal, Image and Speech Processing.; Discrete Mathematics.

Digital Functions and Data Reconstruction: Digital-Discrete Methods provides a solid foundation to the theory of digital functions and its applications to image data analysis, digital object deformation, and data reconstruction. This new method has a unique feature in that it is mainly built on disc...

Table of Contents:

• Introduction
• Functions and Relations
• Functions in Digital and Discrete Space
• Gradually Varied Extensions
• Digital and Discrete Deformation
• Basic Numerical and Computational Methods
• Digital-Discrete Approaches for Smooth Functions
• Digital-Discrete Methods for Data Reconstruction
• Harmonic Functions for Data Reconstruction on 3D Manifolds
• Gradual Variations and Partial Differential Equations
• Gradually Varied Functions for Advanced Computational Methods
• Digital-Discrete Method and Its Relations to Graphics and AI Methods.