Image Super-Resolution Reconstruction Algorithm
Implementation of image super-resolution reconstruction algorithm for enhancing image resolution and detail recovery.
Image Affine Transformation
Image affine transformation system comprising 4 MATLAB files: affine.m, grad.m, wrap.m, and parametric.m. These files implement core algorithms for image transformation and super-resolution reconstruction, providing essential tools for image processing and computer vision applications.
Spatial Regularization-Based Processing for Single Image Super-Resolution
Single image super-resolution enhancement through spatial regularization techniques, with implementation approaches for pixel optimization and resolution improvement.
Regularization Processing Methods in Image Super-Resolution Reconstruction Technology
MATLAB Simulation of Regularization Processing Methods for Image Super-Resolution Reconstruction
Image Super-Resolution Reconstruction Algorithms
Implementation of image super-resolution reconstruction algorithms to enhance image resolution and quality through computational methods.
Image Super-Resolution Implementation
This program implements an image super-resolution algorithm using similar reference images, based on the research paper "Landmark Image Super-Resolution by Retrieving Web Images"
Image Super-Resolution Reconstruction via Patch-Based Sparse Representation
Image Super-Resolution through Sparse Representation of Raw Image Patches with Code Implementation Insights