Image Denoising Using the Split Bregman Algorithm
Implementation of image denoising via the Split Bregman algorithm with rapid convergence and edge-preserving characteristics
Explore MATLAB source code curated for "图像去噪" with clean implementations, documentation, and examples.
Implementation of image denoising via the Split Bregman algorithm with rapid convergence and edge-preserving characteristics
Implementation of Ant Colony Algorithm for image denoising in wavelet domain, based on authoritative 2010 SCI international journal research with excellent performance results.
Implementation code for image denoising based on wavelet-domain Hidden Markov Tree (HMT) models, featuring algorithm explanations and key function descriptions.
Image denoising using adaptive threshold median filter code developed in MATLAB environment, featuring local characteristic analysis and dynamic threshold adjustment.
Source code implementation of image denoising and segmentation algorithms featuring Morphological Component Analysis, ready for direct deployment with modular architecture
MATLAB-based image denoising program utilizing Wiener filtering method, includes sample images for immediate execution and testing with complete code implementation details
KSVD MATLAB Toolbox for direct implementation in image denoising and dictionary training applications
This collection includes dozens of practical MATLAB programs covering image denoising, image recognition, RBF neural network training, cubic spline interpolation, linear equation system solving, and more. Each program is accompanied by technical explanations of algorithms and implementation approaches.
1. MATLAB simulation program for image denoising.m - Implements noise reduction algorithms with configurable parameters 2. MATLAB simulation program for image point spread function acquisition.m - Retrieves PSF using frequency domain analysis and deconvolution techniques 3. MATLAB simulation program for constrained least squares image restoration.m - Applies regularization methods with optimization constraints
MATLAB implementation of a fractal image denoising method using generalized S-transform, featuring readable code structure and comprehensive algorithm documentation