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The Essential Guide to Image Processing.

By: Bovik, Alan CMaterial type: TextTextSeries: eBooks on DemandPublisher: Burlington : Elsevier Science, 2014Description: 1 online resource (877 p.)ISBN: 9780080922515Subject(s): Image processing -- Digital techniques | Image processing | Pattern perceptionGenre/Form: Electronic books.Additional physical formats: Print version:: The Essential Guide to Image ProcessingDDC classification: 621.3 LOC classification: TA1637 .B68 2009Online resources: Click here to view this ebook.
Contents:
Front Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment
2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images
3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection
4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT
5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases
6.3.4 Continuous Wavelet Bases
Summary: <ul><li>A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field</li><li>A CD-ROM contains 70 highly interactive demonstration programs with user friendly interfaces to provide a visual presentation of the concepts</li><li>Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 </li></ul> This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key appli
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Item type Current location Call number URL Status Date due Barcode
Electronic Book UT Tyler Online
Online 		TA1637 .B68 2009 (Browse shelf) http://uttyler.eblib.com/patron/FullRecord.aspx?p=452947 Available EBL452947

Front Cover; The Essential Guide to Image Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Image Processing; 1.1 Types of Images; 1.2 Scale of Images; 1.3 Dimension of Images; 1.4 Digitization of Images; 1.5 Sampled Images; 1.6 Quantized Images; 1.7 Color Images; 1.8 Size of Image Data; 1.9 Objectives of this Guide; 1.10 Organization of the Guide; Reference; Chapter 2. The SIVA Image Processing Demos; 2.1 Introduction; 2.2 LabVIEW for Image Processing; 2.2.1 The LabVIEW Development Environment

2.2.2 Image Processing and Machine Vision in LabVIEW2.3 Examples from the SIVA Image Processing Demos; 2.4 Conclusions; References; Chapter 3. Basic Gray Level Image Processing; 3.1 Introduction; 3.2 Notation; 3.3 Image Histogram; 3.4 Linear Point Operations on Images; 3.4.1 Additive Image Offset; 3.4.2 Multiplicative Image Scaling; 3.4.3 Image Negative; 3.4.4 Full-Scale Histogram Stretch; 3.5 Nonlinear Point Operations on Images; 3.5.1 Logarithmic Point Operations; 3.5.2 Histogram Equalization; 3.5.3 Histogram Shaping; 3.6 Arithmetic Operations Between Images

3.6.1 Image Averaging for Noise Reduction3.6.2 Image Differencing for Change Detection; 3.7 Geometric Image Operations; 3.7.1 Nearest Neighbor Interpolation; 3.7.2 Bilinear Interpolation; 3.7.3 Image Translation; 3.7.4 Image Rotation; 3.7.5 Image Zoom; Chapter 4. Basic Binary Image Processing; 4.1 Introduction; 4.2 Image Thresholding; 4.3 Region Labeling; 4.3.1 Region Labeling Algorithm; 4.3.2 Region Counting Algorithm; 4.3.3 Minor Region Removal Algorithm; 4.4 Binary Image Morphology; 4.4.1 Logical Operations; 4.4.2 Windows; 4.4.3 Morphological Filters; 4.4.4 Morphological Boundary Detection

4.5 Binary Image Representation and Compression4.5.1 Run-Length Coding; 4.5.2 Chain Coding; Chapter 5. Basic Tools for Image Fourier Analysis; 5.1 Introduction; 5.2 Discrete-Space Sinusoids; 5.3 Discrete-Space Fourier Transform; 5.3.1 Linearity of DSFT; 5.3.2 Inversion of DSFT; 5.3.3 Magnitude and Phase of DSFT; 5.3.4 Symmetry of DSFT; 5.3.5 Translation of DSFT; 5.3.6 Convolution and the DSFT; 5.4 2D Discrete Fourier Transform (DFT); 5.4.1 Linearity and Invertibility of DFT; 5.4.2 Symmetry of DFT; 5.4.3 Periodicity of DFT; 5.4.4 Image Periodicity Implied by DFT

5.4.5 Cyclic Convolution Property of the DFT5.4.6 Linear Convolution Using the DFT; 5.4.7 Computation of the DFT; 5.4.8 Displaying the DFT; 5.5 Understanding Image Frequencies and the DFT; 5.5.1 Frequency Granularity; 5.5.2 Frequency Orientation; 5.6 Related Topics in this Guide; Chapter 6. Multiscale Image Decompositions and Wavelets; 6.1 Overview; 6.2 Pyramid Representations; 6.2.1 Decimation and Interpolation; 6.2.2 Gaussian Pyramid; 6.2.3 Laplacian Pyramid; 6.3 Wavelet Representations; 6.3.1 Filter Banks; 6.3.2 Wavelet Decomposition; 6.3.3 Discrete Wavelet Bases

6.3.4 Continuous Wavelet Bases

<ul><li>A complete introduction to the basic and intermediate concepts of image processing from the leading people in the field</li><li>A CD-ROM contains 70 highly interactive demonstration programs with user friendly interfaces to provide a visual presentation of the concepts</li><li>Up-to-date content, including statistical modeling of natural, anistropic diffusion, image quality and the latest developments in JPEG 2000 </li></ul> This comprehensive and state-of-the art approach to image processing gives engineers and students a thorough introduction, and includes full coverage of key appli

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