Image Restoration with BP Neural Networks
Leveraging neural network learning capabilities for image restoration through intelligent pattern recognition and reconstruction algorithms
Image Restoration: Mathematical Models, Algorithms, and MATLAB Implementation
Chapter 14: Image Restoration | 14.1 Degradation Models - Continuous & Discrete Systems | 14.2 Algebraic Restoration Methods - Inverse Filtering & Least Squares Filtering | 14.3 MATLAB Implementation - Wiener Filtering, Regularized Filtering, Lucy-Richardson Algorithm, Blind Deconvolution & Other Built-in Functions
Motion Blur Image Restoration
Motion blur image restoration using four methods: Wiener filtering, constrained least squares, Richardson-Lucy deconvolution, and blind deconvolution algorithms with code implementation considerations
MATLAB Implementation and Comparative Enhancement of Inverse Filtering for Image Restoration
Comparison of MATLAB implementation and enhancement techniques for inverse filtering method in image restoration.
Image Restoration Using the Lucy-Richardson Method
A MATLAB-based implementation of an image restoration application utilizing the Lucy-Richardson algorithm, designed for noise reduction and image enhancement.
Least Squares Filtering for Image Restoration
An image restoration program implementing least squares filtering that operates using actual PSF functions and noise intensity parameters, fully executable with proper parameter configuration
Estimation of Blur Parameters and Image Restoration
Applying blur to clear images and implementing blur parameter estimation using both spatial and frequency domain methods for image restoration, with frequency domain approach specifically targeting blur angle estimation
Motion Blur Image Restoration
Restoration of images degraded by uniform motion blur, with implementation insights on deblurring algorithms
Image Restoration with Different Noise Types
Core program implementation for image restoration when various noise types are added to images, including algorithm explanations and key function descriptions.
Image Restoration Using Wiener Filter
MATLAB implementation of Wiener filter for image restoration. Particularly effective for horizontal motion-blurred images with noise! Includes code structure and algorithm explanation.