Fundamentals of Image Processing

Focuses on the fundamental concepts of image processing. This book is constrained to two-dimensional (2D) image processing although most of the concepts and techniques described can be extended easily to three or more dimensions.

**Tag(s):**
Signal Processing

**Publication date**: 31 Dec 1998

**ISBN-10**:
9075691017

**ISBN-13**:
n/a

**Paperback**:
113 pages

**Views**: 24,138

Fundamentals of Image Processing

Focuses on the fundamental concepts of image processing. This book is constrained to two-dimensional (2D) image processing although most of the concepts and techniques described can be extended easily to three or more dimensions.

Book Excerpts:

Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories:

- Image Processing : image in -> image out

- Image Analysis : image in -> measurements out

- Image Understanding : image in -> high-level description out

This book will focus on the fundamental concepts of image processing. Space does not permit this book to make more than a few introductory remarks about image analysis. Image understanding requires an approach that differs fundamentally from the theme of this book. Further, this book will restrict itself to two-dimensional (2D) image processing although most of the concepts and techniques that are to be described can be extended easily to three or more dimensions. Readers interested in either greater detail than presented here or in other aspects of image processing can reach for books and journals listed in the references.

Intended Audience:

Readers are expected to have some familiarity with assorted applied math topics including linear algebra, differential equations, transforms and basic probability theory.

Modern digital technology has made it possible to manipulate multi-dimensional signals with systems that range from simple digital circuits to advanced parallel computers. The goal of this manipulation can be divided into three categories:

- Image Processing : image in -> image out

- Image Analysis : image in -> measurements out

- Image Understanding : image in -> high-level description out

This book will focus on the fundamental concepts of image processing. Space does not permit this book to make more than a few introductory remarks about image analysis. Image understanding requires an approach that differs fundamentally from the theme of this book. Further, this book will restrict itself to two-dimensional (2D) image processing although most of the concepts and techniques that are to be described can be extended easily to three or more dimensions. Readers interested in either greater detail than presented here or in other aspects of image processing can reach for books and journals listed in the references.

Intended Audience:

Readers are expected to have some familiarity with assorted applied math topics including linear algebra, differential equations, transforms and basic probability theory.

Tweet

About The Author(s)

No information is available for this author.

No information is available for this author.

No information is available for this author.

Book Categories

Computer Science
Introduction to Computer Science
Introduction to Computer Programming
Algorithms and Data Structures
Artificial Intelligence
Computer Vision
Machine Learning
Neural Networks
Game Development and Multimedia
Data Communication and Networks
Coding Theory
Computer Security
Information Security
Cryptography
Information Theory
Computer Organization and Architecture
Operating Systems
Image Processing
Parallel Computing
Concurrent Programming
Relational Database
Document-oriented Database
Data Mining
Big Data
Data Science
Digital Libraries
Compiler Design and Construction
Functional Programming
Logic Programming
Object Oriented Programming
Formal Methods
Software Engineering
Agile Software Development
Information Systems
Geographic Information System (GIS)

Mathematics
Mathematics
Algebra
Abstract Algebra
Linear Algebra
Number Theory
Numerical Methods
Precalculus
Calculus
Differential Equations
Category Theory
Proofs
Discrete Mathematics
Theory of Computation
Graph Theory
Real Analysis
Complex Analysis
Probability
Statistics
Game Theory
Queueing Theory
Operations Research
Computer Aided Mathematics

Supporting Fields
Web Design and Development
Mobile App Design and Development
System Administration
Cloud Computing
Electric Circuits
Embedded System
Signal Processing
Integration and Automation
Network Science
Project Management

Operating System
Programming/Scripting
Ada
Assembly
C / C++
Common Lisp
Forth
Java
JavaScript
Lua
Microsoft .NET
Rexx
Perl
PHP
Python
R
Rebol
Ruby
Scheme
Tcl/Tk

Miscellaneous