Explore MATLAB source code curated for "图像修复" with clean implementations, documentation, and examples.
Application Background: A sample-based texture synthesis image inpainting algorithm built upon the classic Criminisi algorithm, capable of restoring both grayscale and color images. Enhanced with C programming for improved execution speed, includes test images, thoroughly tested code ready for immediate execution. Key Technology: The core of Criminisi algorithm is an isophote-driven image sampling process.
Application Background - Detailed explanation of the Criminisi algorithm for easy understanding! Currently, mainstream image inpainting models include PDE-based models [1-2] and texture synthesis models [3]. PDE models involve heavy computation, long processing times, and limited texture restoration capability, making them suitable only for narrow-area repairs like scratches and stains. Texture synthesis models extract features from surrounding areas and synthesize matching textures, making them ideal for larger damaged regions. Real-world images contain complex structures and multiple textures. Reference [4] proposes...
MATLAB implementation of Criminisi algorithm for image inpainting, including sample images and complete source code with detailed documentation
Implementing image restoration for noise-contaminated images using the Total Variation model, including algorithm explanation and key implementation considerations
Image inpainting implementation using curvature-driven methods and heat transfer concepts, achieving excellent edge restoration. Based on doctoral research, this code demonstrates advanced techniques for reconstructing missing or damaged image regions with natural-looking results.
MATLAB implementation of image inpainting using Total Variation regularization algorithm with code explanations
An image inpainting program specifically designed for removing large objects from images, utilizing user-drawn masks to fill resulting gaps with advanced reconstruction algorithms.
Image processing techniques including restoration, TV (Total Variation) model implementation, and hole-filling algorithms with MATLAB code descriptions
An enhanced Criminisi method for image inpainting that processes single images with significantly reduced computational time while maintaining excellent restoration quality.