Image Super-Resolution Reconstruction

MATLAB 1K 157 views 0 downloads 1 credits
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Resource Overview

This MATLAB implementation performs image super-resolution reconstruction using the Projection Onto Convex Sets (POCS) method, reconstructing a single high-resolution image from multiple low-resolution input images.

Detailed Documentation

This code implements image super-resolution reconstruction using MATLAB. The implementation employs the Projection Onto Convex Sets (POCS) method, which reconstructs a high-resolution image from multiple low-resolution input images. POCS is an effective image processing technique that enhances image details and sharpness by iteratively projecting intermediate solutions onto constraint sets representing prior knowledge about the imaging process. The MATLAB implementation includes key functions for image registration, degradation modeling, and iterative projection operations. Through this code, users can easily conduct super-resolution experiments and obtain higher quality image results. The algorithm handles practical considerations like motion estimation between frames and point spread function modeling to achieve improved spatial resolution.

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