Explore MATLAB source code curated for "图像恢复" with clean implementations, documentation, and examples.
This program is designed for image restoration, specializing in addressing motion blur and defocus blur issues with excellent recovery results. The implementation involves point spread function estimation and deconvolution algorithms to reconstruct清晰 images.
Image Restoration: Fast Non-Local Means Filtering - An efficient implementation method for the Non-Local Means algorithm originally proposed by A. Buades et al., featuring optimized computational performance for practical applications
An image restoration program developed in MATLAB that reconstructs compressed images using advanced processing algorithms
Original MATLAB source code for image restoration using Wiener filtering algorithm with enhanced technical implementation details
Total Variation TV model code demo with partial implementation, effective for image restoration and denoising applications
Implementation of Arnold transformation for image scrambling and restoration with code-level algorithm explanations