This item is in: Engineering > Computing and electrical engineering
Digital image processing: Mathematical and computational methodsJ M Blackledge, Loughborough University, UK
Woodhead Publishing Series in Electronic and Optical Materials No. 9
- provides mathematical methods required to describe images, image formation and different imaging systems
- outlines the principle techniques used for processing digital images
- relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems
- part two of a complete MSc course
This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems. Case studies reinforce the methods discussed, with examples of current research themes.
ISBN 1 898563 49 7
ISBN-13: 978 1 898563 49 5
November 2005
824 pages 234 x 156mm paperback
£80.00 / US$135.00 / €95.00

Usually dispatched within 24 hours
About the author
Jonathan M Blackledge, Loughborough University, UK
Titles which may also be of interest:
Digital signal processing
Object-oriented technology and computing systems re-engineering
Object-oriented technology and computing systems re-engineering
Digital filters and signal processing in electronic engineering
Contents
PART 1 MATHEMATICAL AND COMPUTATIONAL BACKGROUND
PART 2 IMAGING SYSTEMS MODELLING
PART 3 DIGITAL IMAGE PROCESSING METHODS
PART 4 PATTERN RECOGNITION AND COMPUTER VISION
Introduction
PART 1 MATHEMATICAL AND COMPUTATIONAL BACKGROUND
Vector fields
2D Fourier theory
The 2D DFT, FFT and FIR filter
Field and wave equations
Green functions
PART 2 IMAGING SYSTEMS MODELLING
Scattering theory
Imaging of layered media
Projection tomography
Diffraction tomography
Synthetic aperture imaging
Optical image formation
PART 3 DIGITAL IMAGE PROCESSING METHODS
Image restoration and reconstruction
Reconstruction of band-limited images
Bayesian estimation methods
Image enhancement
PART 4 PATTERN RECOGNITION AND COMPUTER VISION
Segmentation and edge detection
Statistical modelling and analysis
Fractal images and image processing
Coding and compression
Summary
Appendix A Solutions to Problems
Appendix B Supplementary Problems
Appendix C Fourier Transform of a Fractal
Appendix D I/O and Graphics Utilities
