Digital image interpolation in Matlab /
Dr. Chi-Wah Kok, Canaan Microelectronics Corp Ltd., Hong Kong, CH, Dr. Wing-Shan Tam, Canaan Microelectronics Corp Ltd., Hong Kong, CH.
- First edition.
- 1 online resource (336 pages).
Includes bibliographical references and index.
About the Authors xiii
Preface xv
Acknowledgments xix
Nomenclature xxi
Abbreviations xxiii
About the CompanionWebsite xxv
1 Signal Sampling 1
1.1 Sampling and Bandlimited Signal 1
1.2 Unitary Transform 4
1.2.1 Discrete Fourier Transform 4
1.3 Quantization 5
1.3.1 Quantization and Sampling Interaction 7
1.4 Sampled Function Approximation: Fitting and Interpolation 8
"Provides a comprehensive explanation of digital image interpolation - Logical and well-planned organization with easy to follow examples - An excellent reference for all digital image processing courses, in both computer science and electrical and computer engineering departments - Accompanying website includes Matlab source code to assist better learning and understanding of the algorithms Market description (Please include secondary markets) Tier C/P&R Primary: Researchers and engineers working in digital image and digital video Secondary: Graduate students studying digital image processing"-- This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab® implementation. It includes all historically and practically important interpolation algorithms, accompanied with Matlab® source code on a website, which will assist readers to learn and understand the implementation details of each presented interpolation algorithm. Furthermore, sections in fundamental signal processing theories and image quality models are also included. The authors intend for the book to help readers develop a thorough consideration of the design of image interpolation algorithms and applications for their future research in the field of digital image processing.
Introduces a wide range of traditional and advanced image interpolation methods concisely and provides thorough treatment of theoretical foundations Discusses in detail the assumptions and limitations of presented algorithms Investigates a variety of interpolation and implementation methods including transform domain, edge-directed, wavelet and scale-space, and fractal based methods Features simulation results for comparative analysis, summaries and computational and analytical exercises at the end of each chapter Digital Image Interpolation in Matlab® is an excellent guide for researchers and engineers working in digital imaging and digital video technologies. Graduate students studying digital image processing will also benefit from this practical reference text.