Image Processing Tour of College Mathematics
portes grátis
Image Processing Tour of College Mathematics
Galperin, Yevgeniy V.
Taylor & Francis Ltd
08/2022
336
Mole
Inglês
9780367694487
15 a 20 dias
508
Descrição não disponível.
1. Introduction to The Basics of Digital Images. 1.1. Grayscale Digital Images. 1.2. Working with Images in MATLAB. 1.3. Images and Statistical Description of Quantitative Data. 1.4. Color Images and Color Spaces. 2. A Library of Elementary Functions. 2.1. Introduction. 2.2. Power Functions and Gamma-Correction. 2.3. Exponential Functions and Image Transformations. 2.4. Logarithmic Functions and Image Transformations. 2.5. Linear Functions and Contrast Stretching. 2.6. Automation of Image Enhancement. 3. Probability, Random Variables, and Histogram Processing. 3.1. Introduction. 3.2. Discrete and Continuous Random Variables. 3.3. Transformation of Random Variables. 3.4. Image Equalization and Histogram Matching. 4. Matrices and Linear Transformations. 4.1. Basic Operations on Matrices. 4.2. Linear Transformations and their Matrices. 4.3. Homogeneous Coordinates and Projective Transformations. 5. Convolution and Image Filtering. 5.1. Image Blurring and Noise Reduction. 5.2. Convolution: Definitions and Examples. 5.3. Edge Detection. 5.4. Chapter Summary. 6. Analysis and Processing in the Frequency Domain. 6.1. Introduction. 6.2. Frequency Analysis of Continuous Periodic Signals. 6.3. Inner Products, Orthogonal Bases, and Fourier Coefficients. 6.4. Discrete Fourier Transform. 6.5 Discrete Fourier Transform in 2D. 6.6. Chapter Summary. 7. Wavelet-Based Methods in Image Compression. 7.1 Introduction. 7.2 Naive Compression in One Dimension. 7.3. Entropy and Entropy Encoding. 7.4. The Discrete Haar Wavelet Transform. 7.5. Haar Wavelet Transforms of Digital Images. 7.6. Discrete-Time Fourier Transform. 7.7. From the Haar Transform to Daubechies Transforms. 7.8. Biorthogonal Wavelet Transforms. 7.9. An Overview of JPEG2000. 7.10. Other Applications of Wavelet Transforms.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
MATLAB Exercise;MATLAB Function;MATLAB Computing Environment;RGB Model;RGB Color Model;Maximal Daily Wind Speeds;CDF.;Image Equalization;Pixel Values;Linear Transformations;Image Histogram;Filtering for Denoising;Data Set;First-Order Partial Derivatives;Continuous Random Variable;Binary Images;Linear Convolution;Continuous-Time Sinusoids;Homogeneous Coordinates;College mathematics;Histogram Matching;Probability theory;Laplacian Edge Detectors;Digital image processing;Discrete Random Variable;Linear algebra;Sobel Edge Detector;Fourier analysis;Computer Algebra System;RGB Color;YCbCr Color Space;RGB Color Space;Edge Detection;Linear Transformation;Bus Arrival;Random Variable
1. Introduction to The Basics of Digital Images. 1.1. Grayscale Digital Images. 1.2. Working with Images in MATLAB. 1.3. Images and Statistical Description of Quantitative Data. 1.4. Color Images and Color Spaces. 2. A Library of Elementary Functions. 2.1. Introduction. 2.2. Power Functions and Gamma-Correction. 2.3. Exponential Functions and Image Transformations. 2.4. Logarithmic Functions and Image Transformations. 2.5. Linear Functions and Contrast Stretching. 2.6. Automation of Image Enhancement. 3. Probability, Random Variables, and Histogram Processing. 3.1. Introduction. 3.2. Discrete and Continuous Random Variables. 3.3. Transformation of Random Variables. 3.4. Image Equalization and Histogram Matching. 4. Matrices and Linear Transformations. 4.1. Basic Operations on Matrices. 4.2. Linear Transformations and their Matrices. 4.3. Homogeneous Coordinates and Projective Transformations. 5. Convolution and Image Filtering. 5.1. Image Blurring and Noise Reduction. 5.2. Convolution: Definitions and Examples. 5.3. Edge Detection. 5.4. Chapter Summary. 6. Analysis and Processing in the Frequency Domain. 6.1. Introduction. 6.2. Frequency Analysis of Continuous Periodic Signals. 6.3. Inner Products, Orthogonal Bases, and Fourier Coefficients. 6.4. Discrete Fourier Transform. 6.5 Discrete Fourier Transform in 2D. 6.6. Chapter Summary. 7. Wavelet-Based Methods in Image Compression. 7.1 Introduction. 7.2 Naive Compression in One Dimension. 7.3. Entropy and Entropy Encoding. 7.4. The Discrete Haar Wavelet Transform. 7.5. Haar Wavelet Transforms of Digital Images. 7.6. Discrete-Time Fourier Transform. 7.7. From the Haar Transform to Daubechies Transforms. 7.8. Biorthogonal Wavelet Transforms. 7.9. An Overview of JPEG2000. 7.10. Other Applications of Wavelet Transforms.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
MATLAB Exercise;MATLAB Function;MATLAB Computing Environment;RGB Model;RGB Color Model;Maximal Daily Wind Speeds;CDF.;Image Equalization;Pixel Values;Linear Transformations;Image Histogram;Filtering for Denoising;Data Set;First-Order Partial Derivatives;Continuous Random Variable;Binary Images;Linear Convolution;Continuous-Time Sinusoids;Homogeneous Coordinates;College mathematics;Histogram Matching;Probability theory;Laplacian Edge Detectors;Digital image processing;Discrete Random Variable;Linear algebra;Sobel Edge Detector;Fourier analysis;Computer Algebra System;RGB Color;YCbCr Color Space;RGB Color Space;Edge Detection;Linear Transformation;Bus Arrival;Random Variable
