Objective Evaluation for Image Fusion
Image fusion objective evaluation program implementing metrics including distortion degree, correlation coefficient, variance, and other quality assessment indicators with computational methodology descriptions
Variational Partial Differential Equations Image Processing Toolkit
Variational PDE Image Processing Toolkit featuring 29 practical algorithms including curvature calculation, variance estimation, L1/L2 norm computations, and other essential image processing operations with mathematical foundation and implementation examples.
Computing Image Radiometric Accuracy (Including Mean, Variance, Skewness, and Kurtosis) and Information Content
Using MATLAB to calculate image radiometric accuracy (including mean, variance, skewness, and kurtosis metrics) and information content, with implementation approaches for statistical analysis and entropy calculation.
Image Evaluation Function Algorithms
Implementation of image evaluation function algorithms in MATLAB environment, including Brenner, Variance, Gradient Threshold, Entropy Function, and Energy Gradient Function with code-level explanations.
MATLAB Implementation of Adaptive Filter with Code Analysis
Implementation of an adaptive filter with 11-tap FIR structure. (1) Performance analysis with varying noise variance σ² (2) LMS algorithm demonstration: single experiment error square convergence curve (training length=500) with filter coefficients; 20 independent experiments showing average convergence curve with different step size comparisons (3) RLS algorithm implementation and comparative analysis between LMS and RLS algorithms
Image Grayscale Statistical Features
Process an input image to calculate four key statistical measures: mean, variance, skewness, and kurtosis, with implementation insights using Python/Matlab
MATLAB Implementation for Generating Gaussian White Noise
Generate Gaussian white noise using MATLAB with specified mean and variance to create a set of random data, commonly applied in signal processing and statistical modeling.