Explore MATLAB source code curated for "图像去噪算法" with clean implementations, documentation, and examples.
MATLAB source code for Contourlet transform implementation featuring image denoising algorithm based on Contourlet decomposition, including subband thresholding and reconstruction techniques.
This paper explores the dual-tree complex wavelet transform and its application in image denoising, including implementation approaches for multi-scale signal decomposition and threshold-based noise removal techniques.
A custom-implemented image denoising algorithm utilizing fourth-order partial differential equations, specifically designed to effectively eliminate staircase artifacts while preserving image quality
Comprehensive MATLAB implementations of PDE-based image denoising algorithms, including Perona-Malik anisotropic diffusion (PM equation), shock filters, and other advanced techniques for noise reduction and image enhancement.
Implementation of an image denoising algorithm from recent international conference papers, highly effective for natural image noise reduction. Suitable for both practical applications and further research/learning with detailed code structure and algorithm explanations.
A classic image denoising algorithm utilizing Wavelet-Domain Hidden Markov Tree (HMT) models, developed by CHOI at Rice University. This implementation offers valuable insights for researchers studying HMT models, featuring detailed algorithm workflows, statistical modeling approaches, and performance evaluation metrics through experimental comparisons.
BM3D image denoising algorithm represents one of the most advanced denoising techniques available, providing superior noise reduction for various image types. The implementation includes comprehensive BM3D denoising capabilities for color images, motion images, and other specialized formats, featuring optimized block-matching and 3D filtering operations.