A Method for Image Sparse Coding
An approach to image sparse coding applicable for sparse representation-based image compression, denoising, and related tasks
Comparison of Programs and Execution Results for Several Wavelet Threshold Function Denoising Methods
This article compares multiple wavelet threshold function denoising programs and their performance results, including algorithm principles, implementation details, and code examples.
MATLAB Implementation of Stationary Wavelet Transform with Applications
MATLAB code for Stationary Wavelet Transform including denoising applications and signal processing implementations
Combining Wavelet Transform with Anisotropic Diffusion for Image Denoising
Integrating wavelet transform and anisotropic diffusion for effective denoising of ultrasound images with superior performance, implemented through multi-scale decomposition and edge-preserving diffusion algorithms
Weighted Median Filtering for Ultrasound Image Enhancement
Weighted median filtering algorithm specialized for ultrasound imaging, effectively removing noise while preserving image details, including implementation of signal-to-noise ratio calculation for quality assessment.
Applications of Wavelet Transform in Image Processing
Wavelet Transform applications in image processing include: image format conversion between different types, 2D wavelet denoising, 2D wavelet image compression, wavelet analysis for noisy image denoising, 2D wavelet smoothing using median filtering, wavelet-based image enhancement, and wavelet analysis for image fusion of two distinct images. Implementation typically involves MATLAB's Wavelet Toolbox functions like wavedec2 for decomposition and waverec2 for reconstruction.
MATLAB Implementation of Optimized Wavelet Thresholding for Signal Denoising
Enhanced wavelet thresholding techniques with improvements to hard and soft thresholding methods, primarily applied for speech signal enhancement and noise reduction. This implementation includes code descriptions for threshold optimization algorithms and practical signal processing applications.
Application of Adaptive Interference Cancellation Method for AWGN Removal
Implementation of adaptive interference cancellation technique for Additive White Gaussian Noise removal, featuring two correlated noise generation methods - one with single random noise source and another with dual random noise sources. The program calculates signal-to-noise ratio improvement and mean square error gain after denoising, demonstrating algorithm performance through quantitative metrics.
Total Variation Image Processing with Implementation Examples
Two implementations of total variation image processing: denoising and restoration approaches with algorithmic details
Wavelet Transform for Speech Signal Processing
A MATLAB program for speech denoising using wavelet transform techniques, implementing multi-level decomposition and threshold-based noise removal