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Image Restoration Models Books

Introduction to digital image processing

Author: William Pratt

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: digital image processing, Continuous Image Mathematical Characterization, Continuous Image Characterization, light perception, eye physiology, visual phenomena, monochrome vision model, Photometry, Colorimetry, color matching, color spaces, image sampling, image reconstruction, Monochrome Image Sampling Systems, Monochrome Image Reconstruction Systems, Color Image Sampling Systems, image measurement, Discrete Image Mathematical Characterization, Vector-Space Image Representation, Generalized Two-Dimensional Linear Operator, Image Statistical Characterization, Image Probability Density Models, Linear Operator Statistical Representation, Finite-Area Superposition, Finite-Area Convolution, Sampled Image Superposition, Sampled Image Convolution, Circulant Superposition, circulant Convolution, General Unitary Transforms, Fourier transform, cosine transform, sine transform, Hartley transform, Hadamard Transforms, Haar Transforms, Daubechies Transforms, Karhunen–Loeve Transform, wavelet transforms, Linear Processing Techniques, Transform Domain Processing, Transform Domain Superposition, Fast Fourier Transform Convolution, Fourier Transform Filtering, image improvement, Image Enhancement, Contrast Manipulation, Histogram Modification, noise cleaning, Edge Crispening, Color Image Enhancement, Multispectral Image Enhancement, image restoration, image restoration models, Continuous Image Spatial Filtering Restoration, Pseudoinverse Spatial Image Restoration, Statistical Estimation Spatial Image Restoration, Multi-Plane Image Restoration, Geometrical Image Modification, Morphological Image Processing, binary image, Edge Detection, Image Feature Extraction, Image Segmentation, shape analysis, Image Detection, image Registration, Point Processing Image Compression, image compression, video compression, Spatial Processing Image Compression

Digital image processing ,4th edition

Author: Rafael Gonzalez, Richard Woods

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: Digital image processing, visual perception, image sensing, image sampling, image acqusition, image quantization, Intensity Transformations, Spatial Filtering, image restoration, image reconstruction, wavelet, image transforms, Color Image Processing, image compression, watermarking, Morphological Image Processing, Image Segmentation, Image Pattern Classification

Advanced Multimedia Technology

Author: Ikhu-Omoregbe Nicholas

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: Multimedia Technology, Multimedia systems, Multimedia requirements, elements of Multimedia, Multimedia signal representation, Multimedia processing, image compression, video compression, image Processing, Human Visual System, data transform, Image Perception, Image Enhancement, Histogram Analysis, morphological operators, Image Restoration, Feature Detection, Pattern Matching, image coding, video coding, motion estimation, image compression standards, video compression standards

Image Processing, Analysis, and Machine Vision ,4th edition

Author: Milan Sonka, Vaclav Hlavac, Roger Boyle

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: Image Processing, image, image analysis, Image pre-processing, Shape representation, shape description, Object recognition, Image understanding, 3D geometry, 3D Vision, Mathematical morphology

Basic Econometrics ,Fifth Edition

Author: Damodar Gujarati, Dawn Porter

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC312

Topics: Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting, econometrics

Basic econometrics Student solutions manual for use with Basic econometrics

Author: Damodar Gujarati, Dawn Porter

School: Modibbo Adama University of Technology

Department: Administration, Social and Management science

Course Code: CC312

Topics: econometrics, Single-Equation Regression Models, Regression Analysis.Two-Variable Regression Analysis, Two-Variable Regression Model, Classical Normal Linear Regression Model, Two-Variable Regression, Interval Estimation, Hypothesis Testing, Multiple Regression Analysis, Dummy Variable Regression Models, Multicollinearity, Heteroscedasticity, Autocorrelation, Econometric Modeling, Nonlinear Regression Model, Qualitative Response Regression Models, Panel Data Regression Models, Dynamic Econometric Models, Autoregressive Lag Models, Distributed-Lag Models, Simultaneous-Equation Models, Time Series Econometrics, Simultaneous-Equation Models, Identification Problem, Simultaneous-Equation Methods, Time Series Econometrics, Time Series Econometrics, Forecasting

Generalized Linear Models ,2nd Edition

Author: McCullagh, John Nelder

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: Generalized Linear Models, dilution assay, probit analysis, logit models, log-linear models, inverse polynomical, survival data, model fittinf, residuals, pearson residual, Anscombe residual, deviance residual, error structure, systemic component, aliasing, estimation, tables, binary data, binomial distribution, over-dispersion, measurement scales, multinomial distribution, likelihood functions, log-linear models, multiple responses, conditional likelihoods, hypergeometric distributions, Gamma distribution, Quasi-likelihood functions, dependent observations, optimal estimating functions, optimality criteria, model checking, survival data, dispersion

JPEG2000 Standard for Image Compression

Author: Tinku Acharya, Ping-Sing Tsai

School: National Open University of Nigeria

Department: Science and Technology

Course Code: CIT891

Topics: Image Compression, Data Compression, Compression Performance, Source Coding Algorithms, Run-length Coding, Huffman Coding, Arithmetic Coding, Binary Arithmetic Coding, Ziv-Lempel Coding, Still Image Compression Standard, Discrete Wavelet Transform, wavelet transforms

Applied Econometrics ,2nd edition

Author: Dimitrios Asteriou, Stephen Hall

School: National Open University of Nigeria

Department: Administration, Social and Management science

Course Code: ECO355

Topics: Applied Econometrics, Econometrics, Economic Data, Basic Data Handling, Simple Regression, Classical Linear Regression Model, Multiple Regression, Multicollinearity, Heteroskedasticity, Autocorrelation, Misspecification, Wrong Regressors, Measurement Errors, Wrong Functional Forms, Dummy Variables, Dynamic Econometric Models, Simultaneous Equation Models, Limited Dependent Variable Regression Models, Time Series Econometrics, ARIMA Models, Box–Jenkins Methodology, ARCH model, GARCH model, Vector Autoregressive Models, Causality Tests, Non-Stationarity Tests, Unit-Root Tests, Cointegration, Error-Correction Models, Solving Models, Panel Data Econometrics, Panel Data Models, Dynamic Heterogeneous Panels, Non-Stationary Panels, Econometric Software

An introduction to generalized linear models ,4th edition

Author: Annette Dobson, Adrian Barnett

School: University of Ibadan

Department: Science and Technology

Course Code: STA351

Topics: generalized linear models, Model Fitting, Exponential Family, estimation, inference, normal linear models, Binary Variables, Logistic Regression, Nominal Logistic Regression, Ordinal Logistic Regression, Poisson Regression, Log-Linear Models, Survival Analysis, Clustered data, Longitudinal Data, Bayesian Analysis, Markov Chain Monte Carlo Methods

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