EffordDigital image processing is not a new phenomenon: techniques for the manipulation, correction and enhancement of digital images have been in practical use for over 30 years and the underlying theoretical ideas have been around far longer. We don't have to look far these days to see an example of image processing at work. It has insinuated itself into many different areas of human endeavour, ranging from small-scale activities such as desktop publishing and healthcare, through to activity on the largest scales imaginable - the search for natural resources on the Earth, or the study of other planets, stars and galaxies.Many existing texts give this subject a strong electrical engineering or physics perspective, or present a rigorous treatment that can be comprehended fully only by a reader possessing advanced mathematical skills. Others adopt a less theory-based, more practical approach, but lack the examples or the software tools that would allow readers to develop their own image processing applications; and, where software tools are provided, they are often inflexible or platform dependent.The aim of this book is to provide a practical introduction to image processing, avoid
Fundamentals of Digital Image Processing
As in all earlier editions, the focus of this edition of the book is on fundamentals. The 4th Edition is based on an extensive survey of faculty, students, and independent readers in 5 institutions from 3 countries.
Digital image processing has experienced explosive growth over the past two decades. Public awareness has increased by way of video games, digital video special effects used in the entertainment industry,...
This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.
Completely self-contained and heavily illustrated this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any ...
This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn.
Hands-on text for a first course aimed at end-users, focusing on concepts, practical issues and problem solving.
Presents a thorough overview of the major topics of digital image processing, beginning with the basic mathematical tools needed for the subject. Includes a comprehensive chapter on...
A. Albert, Regression and the Moore–Penrose Pseudoinverse, Academic Press, New York, 1972. 23. H. C. Andrews and C. L. Patterson, “Outer Product Expansions and Their Uses in Digital Image Processing,” American Mathematical.
This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing.