Explore MATLAB source code curated for "同态滤波" with clean implementations, documentation, and examples.
Developing a MATLAB-based interface with implementation of directional filtering and homomorphic filtering for images, featuring practical usability and effective performance with detailed code implementation approaches
Applying homomorphic filtering to images followed by local histogram equalization can achieve blur enhancement effects, suitable for applications such as thin cloud removal in remote sensing images. However, this approach requires further refinement and research for optimal results.
Application of MATLAB's contour function in wavelet denoising, featuring global soft-thresholding for unbiased image estimation, homomorphic filtering, and heuristic soft-thresholding denoising techniques with code implementation details
Homomorphic filtering algorithm implementation in MATLAB - effectively compresses dynamic range and enhances image contrast through frequency domain processing.
A high-performance homomorphic filtering program I developed, featuring robust image processing capabilities with detailed code implementation insights
Text segmentation under non-uniform illumination using homomorphic filtering, Bernsen local thresholding, and edge detection methods with implementation insights
My coursework program implementing homomorphic filtering algorithm with image processing applications
An illumination-compensating face preprocessing algorithm utilizing wavelet decomposition and homomorphic filtering techniques for enhanced facial recognition accuracy
Utilizing homomorphic filtering for contrast enhancement and haze removal in images, with extended support for color image processing.
When multiple signals are superimposed, cepstrum analysis can detect their fundamental frequencies. While primarily used in homomorphic filtering for signal deconvolution, cepstrum analysis - particularly for voice signals - effectively separates spectral envelopes from fundamental frequency spectra. Implementations typically involve Fourier transforms, logarithmic operations, and inverse transforms to extract vocal tract characteristics and excitation components.