Explore MATLAB source code curated for "小波变换" with clean implementations, documentation, and examples.
MATLAB implementation of wavelet transform for image processing applications including image segmentation and fusion techniques, featuring code examples for multi-level decomposition and reconstruction using wavelet functions.
Comparative time-frequency analysis of transient signals using Short-Time Fourier Transform (STFT), Wavelet Transform, and Empirical Mode Decomposition (EMD) with code implementation insights
Approximately 10 MATLAB-based image processing programs utilizing wavelet transform! (M-files with implementations for denoising, edge detection, and image enhancement)
Simulation Program for Digital Watermarking Algorithm Using Spread Spectrum Sequences and Wavelet Transform
A wavelet transform-based algorithm for embedding grayscale watermark images into host grayscale images through frequency-domain decomposition and coefficient modification
This algorithm implements multi-scale image edge detection using wavelet transform modulus maxima for robust feature extraction
HHT program code implementation featuring wavelet transform, comparative analysis of component power spectral density plots, and optimization techniques for wavelet selection
Utilizing wavelet transform for image denoising by applying thresholding techniques. The process involves a 2-level wavelet decomposition of the image followed by hard and soft thresholding methods to remove noise from high-frequency components. Implementation typically involves using wavelet functions like 'db4' or 'sym8' and threshold calculation methods such as Universal Threshold or SURE threshold.
This paper presents a wavelet transform-based digital watermarking algorithm for image protection, implemented using MATLAB. The technique embeds watermark information into high-frequency sub-band texture regions of wavelet-transformed images, leveraging human visual system characteristics to ensure imperceptibility. Watermark extraction is performed using both watermarked and original images. Experimental results demonstrate excellent concealment properties and robust resistance against common image processing attacks.
MATLAB implementation of 2D Fourier Transform, Discrete Cosine Transform, and Wavelet Transform with comprehensive code examples and algorithm explanations.