Digital Image Processing

ISBN-10: 013168728X

ISBN-13: 9780131687288

Edition: 3rd 2008

List price: $244.20
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THEleader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus oncontemporarydevelopments inallmainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems.Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition.For technicians interested in the fundamentals and contemporary applications of digital imaging processing
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Book details

List price: $244.20
Edition: 3rd
Copyright year: 2008
Publisher: Prentice Hall PTR
Publication date: 8/21/2007
Binding: Hardcover
Pages: 976
Size: 7.50" wide x 9.50" long x 1.50" tall
Weight: 3.146
Language: English

What Is Digital Image Processing? The Origins of Digital Image Processing
Examples of Fields that Use Digital Image Processing
Fundamental Steps in Digital Image Processing
Components of an Image Processing System
Digital Image Fundamentals
Elements of Visual Perception
Light and the Electromagnetic Spectrum
Image Sensing and Acquisition
Image Sampling and Quantization
Some Basic Relationships Between Pixels
Linear and Nonlinear Operations
Image Enhancement in the Spatial Domain
Some Basic Gray Level Transformations
Histogram Processing
Enhancement Using Arithmetic/Logic Operations
Basics of Spatial Filtering
Smoothing Spatial Filters
Sharpening Spatial Filters
Combining Spatial Enhancement Methods
Image Enhancement in the Frequency Domain
Introduction to the Fourier Transform and the Frequency Domain
Smoothing Frequency-Domain Filters
Sharpening Frequency Domain Filters
Homomorphic Filtering
Image Restoration
A Model of the Image Degradation/Restoration Process
Noise Models
Restoration in the Presence of Noise Only-Spatial Filtering
Periodic Noise Reduction by Frequency Domain Filtering
Linear, Position-Invariant Degradations
Estimating the Degradation Function
Inverse Filtering
Minimum Mean Square Error (Wiener) Filtering
Constrained Least Squares Filtering
Geometric Mean Filter
Geometric Transformations
Color Image Processing
Color Fundamentals
Color Models
Pseudocolor Image Processing
Basics of Full-Color Image Processing
Color Transformations
Smoothing and Sharpening
Color Segmentation
Noise in Color Images
Color Image Compression
Wavelets and Multiresolution Processing
Multiresolution Expansions
Wavelet Transforms in One Dimension
The Fast Wavelet Transform
Wavelet Transforms in Two Dimensions
Wavelet Packets
Image Compression
Image Compression Models
Elements of Information Theory
Error-Free Compression
Lossy Compression
Image Compression Standards
Morphological Image Processing
Dilation and Erosion
Opening and Closing
The Hit-or-Miss Transformation
Some Basic Morphological Algorithms
Extensions to Gray-Scale Images
Image Segmentation
Detection of Discontinuities
Edge Linking and Boundary Detection
Region-Based Segmentation
Segmentation by Morphological Watersheds
The Use of Motion in Segmentation
Representation and Description
Boundary Descriptors
Regional Descriptors
Use of Principal Components for Description
Relational Descriptors
Object Recognition
Patterns and Pattern Classes
Recognition Based on Decision-Theoretic Methods
Structural Methods
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