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Digital Image Processing A Practical Introduction Using Java

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ISBN-10: 0201596237

ISBN-13: 9780201596236

Edition: 2000

Authors: Nick Efford

List price: $99.00
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This text takes a practical approach to image processing, from a Computer Science perspective, using Java code and presuming a minimal mathematical background. The book explains IP concepts, and then allows the student to practice them by working with the accompanying CD-ROM.
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Book details

List price: $99.00
Copyright year: 2000
Publisher: Addison-Wesley Longman, Incorporated
Publication date: 5/5/2000
Binding: Mixed Media
Pages: 372
Size: 7.50" wide x 9.25" long x 0.75" tall
Weight: 1.430
Language: English

List of Figures
List of Tables
List of List of Algorithms
List of List of Program Listings
Preface
Introduction
What are images?
What is image processing?
Example: contrast enhancement
Example: removal of motion blur
Example: image warping
Exercises
Imaging
Introduction
Passive and active imaging
Energy sources
The electronic camera
Camera optics
CCD sensors
The human eye
Structure
Properties of the human visual system
Three-dimensional imaging
Stereoscopy
Computed tomography
Further reading
Exercises
Digital images
Introduction
Sampling
Spatial resolution
Sampling pattern
Quantisation
Colour
The RGB model
Other colour models
Image representation
8-bit greyscale images
Other data types
Representation of colour
Volumetric data
Object-oriented programming with images and volumes
Further reading
Exercises
Images in Java
Images in Java 1.0/1.1
Loading images
Producers and consumers
Acquiring and processing pixel data
The Java2D API
The BufferedImage class
Raster and WritableRaster
The DataBuffer classes
RasterOp, BufferedImageOp and BufferedImageFilter
Reading a BufferedImage
Java Advanced Imaging
Further reading
Exercises
Basic image manipulation
Storage
Storage media
File formats
The PBM, PGM and PPM formats
The portable network graphics (PNG) format
Reading and writing images in Java
PBM, PGM and PPM images
Creating your own format: an example
PNG images
Putting it all together
Display
Hardware
Software: displaying images in Java
Printing
Greyscale images
Colour images
Manipulation of pixel data
Extracting regions of interest
Basic geometric manipulation
Arithmetic and logical combination of images
Further reading
Exercises
Grey level and colour enhancement
Introduction
Grey level mapping
Linear mapping
Non-linear mapping
Efficient implementation of mapping
Image histograms
Computing histograms in Java
Histogram equalisation
Histogram equalisation in Java
Colour processing
Histograms of colour images
Further reading
Exercises
Neighbourhood operations
Introduction
Convolution and correlation
Calculating a convolution
Computational problems
Performance issues
Correlation
Convolution in Java
Linear filtering
Low pass filtering
High pass filtering
High frequency emphasis
Implementations in Java
Edge detection
A simple edge detector
The Laplacian
The Canny edge detector
Implementations in Java
Rank filtering
Median filter
Minimum and maximum filters
Range filter
Implementation of rank filters in Java
Hybrid filters
Adaptive filters
Further reading
Exercises
The frequency domain
Spatial frequency
Fourier theory
Basic concepts
Extension to two dimensions
The discrete Fourier transform
The spectra of an image
The fast Fourier transform
Properties of the Fourier transform
Java implementation
Investigating spectra
Display
Interpretation
Filtering of images
Low pass filtering
High pass filtering
Band pass and band stop filtering
Removal of periodic noise
Implementations of filters in Java
Deconvolution
Point spread functions
The inverse filter
The Wiener filter
Further reading
Exercises
Geometric operations
Introduction
Simple techniques and their limitations
Affine transformations
Affine transformations in Java
Transformation algorithms
Interpolation schemes
Zero-order interpolation
First-order interpolation
Higher-order interpolations
Affine image transformation in Java
Warping and morphing
Further reading
Exercises
Segmentation
Introduction
A simple non-contextual technique: thresholding
Thresholding of pixel grey level
Thresholding of colour
Java tools for thresholding of grey level and colour
Contextual techniques
Pixel connectivity
Region similarity
Region growing
The split and merge algorithm
Segmentation using other image properties
Further reading
Exercises
Morphological image processing
Introduction
Basic concepts
Structuring elements
Fitting and hitting
Java classes to represent structuring elements
Fundamental operations
Erosion
Dilation
Implementations of erosion and dilation in Java
Compound operations
Opening
Closing
Hit and miss transform
Java implementations
Morphological filtering
Greyscale morphology
Erosion and dilation
Opening and closing
Other compound operations
Java implementations of greyscale operations
Further reading
Exercises
Image compression
Introduction
Redundancy
Performance characterisation
Lossless compression techniques
Delta compression
Run length encoding
Statistical coding
Dictionary-based coding
Comparison of techniques
Lossy compression techniques
JPEG compression
Fractal compression
Compression of moving images
Further reading
Exercises
Glossary of Image Processing Terms
Bibliography
Index