MATLAB Implementation of Wavelet Transform Applications
MATLAB programs based on wavelet transform applications, featuring image enhancement, image decomposition, image denoising, and image fusion with comprehensive code implementation details
BEMD-Based Image Decomposition Using Delaunay Triangulation and Cubic Interpolation
BEMD decomposes images through envelope construction via Delaunay triangulation and cubic interpolation, producing IMF components and residual outputs. Input: grayscale BMP image. Output: IMF1, IMF2, IMF3, and residual components for advanced image analysis.
Image Decomposition Using 2D Wavelet Decomposition Function with Code Implementation
Convert normalized image data from uint8 format (optimal for display) to double format (suitable for numerical processing), then perform image decomposition using 2D wavelet decomposition functions with boundary drawing to visualize the pyramid structure clearly.
BEMD for Image Decomposition
BEMD decomposes images using Delaunay triangulation and cubic interpolation for envelope construction to obtain decomposition results. This implementation processes grayscale BMP images as input and outputs imf1, imf2, imf3 components along with residual data, providing multi-scale frequency analysis through envelope fitting and sifting algorithms.
Classical Two-Dimensional Empirical Mode Decomposition
A well-established implementation of 2D Empirical Mode Decomposition for image decomposition, featuring robust algorithm implementation with detailed code explanations for signal processing applications
Image Decomposition and Reconstruction Using Haar Wavelet
This program implements image decomposition and reconstruction using Haar wavelet transform, providing executable source code that has been debugged and is suitable for learning purposes. The implementation demonstrates multi-level wavelet decomposition and reconstruction algorithms with efficient matrix operations.
Image Fusion Based on Low-Frequency Fusion Algorithm and Wavelet Transform with MATLAB Implementation
MATLAB program for image fusion using low-frequency fusion algorithm and wavelet transform, including fundamental wavelet image decomposition and reconstruction procedures with detailed code implementation
Decomposing Images into High-Frequency and Low-Frequency Components
Implementation of image decomposition into high-frequency and low-frequency components using MATLAB, including reconstruction and visualization of both components with Fourier transform techniques
2D Wavelet à trous Algorithm Image Decomposition Based on FFT and Dyadic Wavelets
Implementation of 2D wavelet à trous algorithm image decomposition using FFT and dyadic wavelets, demonstrating excellent performance for multi-scale image analysis
Image Decomposition and Synthesis Using Wavelet Transform Technology
This MATLAB source code implements image decomposition and synthesis using wavelet transform techniques. The implementation demonstrates multi-level wavelet decomposition and reconstruction algorithms for image processing applications. Complete documentation and test results are available on my personal homepage with verified data accuracy. I'm currently researching speech compression algorithms (particularly MELP) and would appreciate access to relevant source code for reference purposes.