L2-optimal image interpolation and its applications to medical imaging

TL;DR

This paper introduces a new interpolation method tailored for medical imaging that balances high speed with optimal L2 image quality, addressing a key challenge in digital image scaling.

Contribution

A novel interpolation approach optimized for medical images that achieves both high speed and superior L2 quality, bridging the gap between theory and practical application.

Findings

Achieves high interpolation speed suitable for medical imaging workflows.

Provides superior L2-optimal image quality compared to traditional methods.

Balances computational efficiency with image fidelity.

Abstract

Digital medical images are always displayed scaled to fit particular view. Interpolation is responsible for this scaling, and if not done properly, can significantly degrade diagnostic image quality. However, theoretically-optimal interpolation algorithms may also be the most time-consuming and impractical. We propose a new approach, adapted to the needs of digital medical imaging, to combine high interpolation speed and superior L2-optimal image quality.