Basic Bayesian Transform for Compressed Sensing
A fundamental Bayesian transform approach for compressed sensing, including source code implementation with one-dimensional signal processing example and two-dimensional image processing demonstrations
Wavelet Decomposition and Reconstruction of 2D Images
Wavelet decomposition and reconstruction of 2D images with visualization capabilities, implemented through multiresolution analysis including algorithm explanations and key function descriptions.
Denoising 2D Images Using Perona-Malik Anisotropic Diffusion Model
Implementation of Perona-Malik anisotropic diffusion model for 2D image denoising, which effectively suppresses noise while preserving important image edges using gradient-based diffusion control.
Dual-Tree Complex Wavelet Transform Source Code
Source code implementation for dual-tree complex wavelet transform, supporting both 1D signal processing and 2D image transformation with enhanced directional selectivity
Fresnel Diffraction and Fraunhofer Diffraction for 2D Images with Code Implementation
MATLAB/Python code implementation for simulating Fresnel and Fraunhofer diffraction patterns of 2D images, featuring customizable pattern switching capabilities using Fourier transform algorithms
MATLAB-Based PCA Feature Extraction for 2D Images
Implementation of Principal Component Analysis for 2D Image Feature Extraction using MATLAB with Code-Level Explanations
GPSR-BB Algorithm for 2D Image Reconstruction
Reconstructing 2D images using the GPSR-BB algorithm with clear implementation examples and practical code-related insights.
Reconstruction of Two-Dimensional Images Using the Orthogonal Matching Pursuit (OMP) Algorithm
Reconstruction of two-dimensional images with the Orthogonal Matching Pursuit (OMP) algorithm implemented in MATLAB programming
Clustering Algorithms for 2D Image Analysis
A specialized clustering algorithm designed for 2D image processing applications with implementation insights
Sparse Decomposition of 2D Images Using Matching Pursuit Algorithm with FFT Acceleration
Implementation of 2D image sparse decomposition based on matching pursuit algorithm using FFT acceleration for efficient feature extraction and representation.