基于自适应拓扑的超分辨率图像重建

Jincheng Zhang

Published Sep 4, 2026• 0 citations

Abstract

This paper introduces a novel super-resolution image reconstruction algorithm based on adaptive topology. Traditional image reconstruction methods rely on classical computation, and this research aims to leverage the unique properties of quantum computing to achieve significantly higher resolution images. The core of our approach involves utilizing topology for image reconstruction, employing self-adaptive adjustments to refine the reconstructed image, thereby improving the overall quality. This work explores the potential of quantum-enhanced image processing to overcome limitations of conventional techniques.

DOI: 10.5281/zenodo.22303582

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