Image Sampling 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
Author: Steven Thompson
School: University of Ibadan
Department: Science and Technology
Course Code: STA351
Topics: Sampling, Sampling Units, Sampling errors, Nonsampling Errors, Simple Random Sampling, Confidence Intervals, Sample Size, Estimating Proportions, Estimating Ratios, Estimating Subpopulation Means, Unequal Probability Sampling, Horvitz-Thompson Estimator, Hansen–Hurwitz Estimator, Auxiliary Data, Ratio Estimation, Ratio Estimator, Small Population Illustrating Bias, Regression Estimation, Linear Regression Estimator, regression model, Multiple Regression Models, Regression Models, Stratified Sampling, Stratified Random Sampling, Cluster Sampling, Systematic Sampling, Multistage Designs, Double Sampling, Two-Phase Sampling, Network Sampling, Link-Tracing Designs, Detectability, Capture–Recapture Sampling, Line-Intercept Sampling, spatial sampling, Spatial Prediction, Kriging, Spatial Covariance Function, Spatial Designs, Adaptive Sampling Designs, Adaptive Sampling, Adaptive Cluster Sampling, Stratified Adaptive Cluster Sampling
Survey Methods and Sampling Theory
Author: AA Sodipo, VC Onyeze
School: University of Ibadan
Department: Science and Technology
Course Code: STA324
Topics: Survey Methods, Sampling Theory, Sample Survey, Probability sampling, non-Probability sampling, Simple Random Sampling, Random Sampling, Non-Random Sampling, Population Proportion, Confidence Limit, Systematic Sampling, Stratified Random Sampling, Ratio, Regression Estimation, Non-Sampling Error, response error
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
Quantitative techniques in business, management and finance a case-study approach
Author: Umeshkumar Dubey, DP Kothari, GK Awari
School: Modibbo Adama University of Technology
Department: Administration, Social and Management science
Course Code: MM307
Topics: Quantitative Decision Making, Quantitative Techniques, data collection, statistical methods, Quantitative Methods.Arranging Data, published data, unplublished data, primary data, Data Presentation Devices, Frequency Distribution, graphs, histogram, frequency polygon, frequency curve, Cumulative Frequency Distribution, Skewness, Kurtosis, Measures of Central Tendency, Arithmetic Mean, median, quantile, mode, variation, range, mean deviation, average deviation, standard deviation, variance, Bienayme–Chebyshev Rule, Probability Theory, Probability, Probability Rules, Conditional Probability, Set Theory, Venn Diagram, Statistical Decision Theory, Decision Theory, determinants, Business Decision Theory, Stochastic Business Situation, Linear Programming, Linear Programming Problem, Sampling Theory, Sampling Methods, sampling, Simple Random Sampling, Stratified Random Sampling, Systematic Random Sampling, Quasi-Random Sampling, Interval Sampling, Cluster Sampling, Multi-Stage Random Sampling, area sampling, quota sampling, error, Hypothesis Testing, Probability Distributions, Binomial Distribution, Poisson Distribution, Normal Probability Distribution, t-Test, Chi-Square Test, Business Forecasting, Correlation Analysis.Correlation, Regression Analysis, Regression, Least-Squares Method, Standard Error of Estimate, Multiple Regressions, Time Series Analysis, Seasonal Variations, Cyclical Variations, business cycle, Irregular Variations, Random Movements, Unpredictable Movements, Erratic Variations, Accidental Variations, Research Methodology, Research Approach
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
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
Analytical Techniques for Animal Production I
Author: AGR NOUN
School: National Open University of Nigeria
Department: Agriculture and Veterinary Medicine
Course Code: AGR305
Topics: Animal Production Analytical Techniques, Experimental Error, Sampling Techniques, Systematic Error, random error, Accuracy, Precision, Calculating Experimental Error, sampling techniques, Representative Sampling, Probability Sampling, Random Number Sampling, sample frame, Systematic Random Sampling, Stratified Sampling, Experimental Design, Randomisation, Completely Randomised Designs, Randomised Complete Block Design, Factorial Design, Split Block Design, Nested Design, statistics, Descriptive Statistics, Inferential Statistics, Data Collection, data Presentation, Central Tendencies, Arithmetic Means, median, Correlation, Scatter Graph, Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Regression Analysis, Classical Probability, probability theory, Probability Laws, Hypothesis Testing, Chi-Square Distribution, Proximate Analysis, Qualitative Analysis
Modern elementary statistics ,12th edition
Author: John Freund, Benjamin Perles
School: University of Ibadan
Department: Science and Technology
Course Code: STA121
Topics: statistics, summarizing data, listing, grouping, Numerical data, Stem-and-Leaf Displays, frequency distribution, graphical presentations, Summarizing Two-Variable Data, population, sample, mean, weighted mean, median, mode, grouped data, measures of variation, range, standard deviation, variance, posibility, probability, counting, permutation, combination, sample spaces, events, odds, conditional probability, multiplication rules, Bayes theorem, Mathematical Expectation, expectation, decision, decision making, Statistical Decision Problems, Random Variable, probability distributions, binomial distributions, hypergeometric distributions, Poisson distribution, Multinomial distribution, Mean of a Probability Distribution, Standard Deviation of a Probability Distribution, normal distribution, Continuous Distributions, sampling, random sampling, sample designs, systematic sampling, stratified sampling, cluster sampling, sampling distribuions, central limit theorem, estimation, Tests of Hypotheses, Significance Tests, One-Way Analysis of Variance, analysis of variance, Multiple Comparisons, Two-Way Analysis of Variance, Design of Experiments, Design of Experiments, regression, Curve Fitting, Regression Analysis, Multiple Regression, Nonlinear Regression, Coefficient of Correlation, correlation, Correlation Analysis, Multiple Correlation, Partial Correlation, Nonparametric tests, sign test, signed-rank test, U test, H test, Tests of Randomness, Rank Correlation
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