Wavelet-PDE Based Image Denoising
Image denoising program based on wavelet-PDE (Partial Differential Equation) methodology, implemented using MATLAB 7 programming environment with wavelet decomposition and PDE-based diffusion algorithms
Explore MATLAB source code curated for "小波" with clean implementations, documentation, and examples.
Image denoising program based on wavelet-PDE (Partial Differential Equation) methodology, implemented using MATLAB 7 programming environment with wavelet decomposition and PDE-based diffusion algorithms
Implementing edge extraction with wavelet transforms, comparing capabilities of various wavelet kernel functions, demonstrating the power of "mathematical microscope" through practical example: license plate localization.
waveletimfusion - MATLAB implementation for wavelet-based image fusion with objective analysis of fusion results, featuring wavelet decomposition, coefficient fusion algorithms, and quality assessment metrics
Signal extraction using wavelets involves hierarchical decomposition of signals followed by spectral analysis at each decomposition level, with implementation typically utilizing wavelet transform functions and frequency spectrum plotting methods.
A wavelet-based denoising method for signal processing applications with MATLAB implementation