Kernel Regression Method Image Restoration Algorithm Toolkit
A comprehensive image restoration toolkit using kernel regression methods, featuring complete MATLAB implementation with test images and relevant academic references.
MATLAB Shredded Document Reconstruction Technology
Addressing the reconstruction of systematically shredded documents, this project implements optimal matching algorithms and Best-First search methods to restore images from vertical cuts, horizontal-vertical cuts, and double-sided cross-cut shredders. The MATLAB-based solution features innovative threshold selection using pixel-pair error accumulation minimization and introduces a novel boundary detection algorithm—Correlation Degree. The implementation covers algorithm feasibility analysis, validation, and practical restoration coding.
Image Restoration Method Utilizing Sparse Prior
This source code implements an image restoration approach using sparse prior, featuring comparisons between frequency-domain and spatial-domain restoration techniques. The implementation includes referenced research on "Deconvolution using natural image priors" and demonstrates practical parameter optimization strategies.
Maximum Entropy Image Restoration
Implementing Image Restoration Using Maximum Entropy Algorithm with Code Implementation Details
Image Restoration: Principles, Algorithms and MATLAB Implementation
1. Model of image degradation/restoration processing; 2. Mastering the principles and implementation methods of image restoration; 3. Learning to implement image restoration through MATLAB programming, including key algorithms and function usage.
Digital Image Processing Image Restoration Algorithms with Source Code
Source code implementation of digital image restoration algorithms including Wiener filtering, least squares method, and Lucy-Richardson algorithm for various degradation models and noise types.
MATLAB Implementation of Dark Channel Image Enhancement
MATLAB Code Implementation for Dark Channel-Based Image Enhancement