Explore MATLAB source code curated for "恢复" with clean implementations, documentation, and examples.
A classic implementation of phase recovery algorithms for phase contrast imaging, developed in MATLAB environment, featuring robust image reconstruction and parameter optimization capabilities.
Image processing source code for various operations including image interpolation, image restoration, and image enhancement with detailed algorithmic implementation
This technique effectively restores original image quality by eliminating horizontal stripe artifacts using specialized image processing algorithms
Implementation of image block partitioning and reconstruction using compressive sensing algorithms with enhanced code-level optimization descriptions
Implementation of blind equalization CMA algorithm for source signal recovery with significant performance improvement in 4QAM systems
This program first creates a motion-blurred image using the fspecial function, then performs restoration through Wiener filtering
Implementation of 1D signal reconstruction through compressive sensing using Orthogonal Matching Pursuit (OMP) algorithm in MATLAB, featuring code structure and algorithmic workflow explanation
This repository contains over 100 MATLAB programs covering diverse image processing domains including image display, restoration, transformation, compression, reconstruction, and segmentation - providing extensive implementation examples across all major image processing areas
Expert-developed 2D deconvolution code for image restoration, specifically designed to address defocus blur in images with advanced algorithmic implementation.
A self-developed motion image blurring and restoration implementation that applies controlled blur to standard images and subsequently recovers their original clarity. This robust solution incorporates specialized algorithms for reliable execution and optimal results.