A Primer on Super Resolution for Images and Video
Introduction to Super Resolution Techniques for Images and Video - Ideal entry-level book covering fundamental concepts and practical implementations with code examples
Explore MATLAB source code curated for "超分辨率" with clean implementations, documentation, and examples.
Introduction to Super Resolution Techniques for Images and Video - Ideal entry-level book covering fundamental concepts and practical implementations with code examples
An advanced dictionary training method for optimizing sparse representations, featuring robust code implementation for image denoising and super-resolution applications. The well-documented MATLAB/Python code demonstrates efficient dictionary learning through orthogonal matching pursuit and atom updates.
Image Super-Resolution through Sparse Representation of Raw Image Patches with Code Implementation Insights
This implementation simulates the 'Fast and robust multiframe super resolution' paper with detailed code explanations, covering the complete pipeline from degraded image acquisition to iterative reconstruction in multiframe super-resolution restoration.
MUSIC Algorithm for High-Resolution TOA Estimation with Signal Subspace Processing
An Advanced MATLAB Toolkit for Super-Resolution Image Reconstruction with Comprehensive Algorithm Implementation