Digital functions and data reconstruction : digital-discrete methods

Resource Information

The work Digital functions and data reconstruction : digital-discrete methods represents a distinct intellectual or artistic creation found in University of Missouri Libraries. This resource is a combination of several types including: Work, Language Material, Books.

Label

Digital functions and data reconstruction : digital-discrete methods

Title remainder

digital-discrete methods

Statement of responsibility

Li M. Chen

Creator

• Chen, Li M

Subject

• COMPUTERS -- Computer Science
• COMPUTERS -- Data Processing
• COMPUTERS -- Hardware | General
• COMPUTERS -- Information Technology
• COMPUTERS -- Machine Theory
• COMPUTERS -- Reference
• Combinatorial analysis
• Computer Imaging, Vision, Pattern Recognition and Graphics
• Computer Imaging, Vision, Pattern Recognition and Graphics.
• Computer Science
• Computer science -- Mathematics
• Computer science -- Mathematics
• Computer science -- Mathematics
• Computer science.
• Computer vision.
• COMPUTERS -- Computer Literacy
• Data recovery (Computer science)
• Data recovery (Computer science)
• Digital electronics
• Discrete Mathematics
• Discrete Mathematics.
• Image Processing, Computer-Assisted
• Image processing -- Digital techniques | Mathematics
• Image processing -- Digital techniques | Mathematics
• Image processing -- Digital techniques | Mathematics
• Information Storage and Retrieval
• Machine theory
• Mathematics
• Number theory
• Signal, Image and Speech Processing
• Signal, Image and Speech Processing.
• Data recovery (Computer science)

Language

eng

Summary

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 discrete mathematics with connections to classical methods in mathematics and computer sciences. Digitally continuous functions and gradually varied functions were developed in the late 1980s. A. Rosenfeld (1986) proposed digitally continuous functions for digital image analysis, especially to describe the "continuous" component in a digital image, which usually indicates an object. L. Chen (1989) invented gradually varied functions to interpolate a digital surface when the boundary appears to be continuous. In theory, digitally continuous functions are very similar to gradually varied functions. Gradually varied functions are more general in terms of being functions of real numbers; digitally continuous functions are easily extended to the mapping from one digital space to another. This will be the first book about digital functions, which is an important modern research area for digital images and digitalized data processing, and provides an introduction and comprehensive coverage of digital function methods. Digital Functions and Data Reconstruction: Digital-Discrete Methods offers scientists and engineers who deal with digital data a highly accessible, practical, and mathematically sound introduction to the powerful theories of digital topology and functional analysis, while avoiding the more abstruse aspects of these topics

Cataloging source

GW5XE

Dewey number

004.01/51

Index

index present

Language note

English

LC call number

QA76.9.M35

LC item number

C44 2013

Literary form

non fiction

Nature of contents

• dictionaries
• bibliography

NLM call number

QA 76.9.M35