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Digital image processing

Author: Rafael C Gonzalez; Richard E Woods
Publisher: Harlow : Prentice Hall, 2007.
Edition/Format:   Print book : English : 3rd edView all editions and formats
Database:WorldCat
Summary:
"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 technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image  Read more...
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Document Type: Book
All Authors / Contributors: Rafael C Gonzalez; Richard E Woods
ISBN: 9780131687288 013168728X
OCLC Number: 225780842
Notes: Previous edition: Upper Saddle River, N.J.: Prentice Hall, 2002.
Description: xxii, 954 pages : illustrations, maps ; 25 cm
Contents: 1. Introduction --
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 --
2. 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 --
3. Image Enhancement in the Spatial Domain --
Background --
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 --
4. Image Enhancement in the Frequency Domain --
Background --
Introduction to the Fourier Transform and the Frequency Domain --
Smoothing Frequency-Domain Filters --
Sharpening Frequency Domain Filters --
Homomorphic Filtering --
Implementation --
5. 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 --
6. 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 --
7. Wavelets and Multiresolution Processing --
Background --
Multiresolution Expansions --
Wavelet Transforms in One Dimension --
The Fast Wavelet Transform --
Wavelet Transforms in Two Dimensions --
Wavelet Packets --
8. Image Compression --
Fundamentals --
Image Compression Models --
Elements of Information Theory --
Error-Free Compression --
Lossy Compression --
Image Compression Standards --
9. Morphological Image Processing --
Preliminaries --
Dilation and Erosion --
Opening and Closing --
The Hit-or-Miss Transformation --
Some Basic Morphological Algorithms --
Extensions to Gray-Scale Images --
10. Image Segmentation --
Detection of Discontinuities --
Edge Linking and Boundary Detection --
Thresholding --
Region-Based Segmentation --
Segmentation by Morphological Watersheds --
The Use of Motion in Segmentation --
11. Representation and Description --
Representation --
Boundary Descriptors --
Regional Descriptors --
Use of Principal Components for Description --
Relational Descriptors --
12. Object Recognition --
Patterns and Pattern Classes --
Recognition Based on Decision-Theoretic Methods --
Structural Methods.
Responsibility: Rafael C. Gonzalez, Richard E. Woods.

Abstract:

A comprehensive digital image processing book that reflects new trends in this field such as document image compression and data compression standards. The book includes a complete rewrite of image  Read more...

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