Super-Resolution for Interferometric Imaging: Model Comparisons and Performance Analysis

TL;DR

This paper compares two Super-Resolution models, RCAN and Real-ESRGAN, for improving interferometric holographic microscopy, demonstrating their respective strengths in numerical accuracy and visual quality enhancement.

Contribution

It provides a comparative analysis of Super-Resolution models in interferometric imaging, highlighting their specific advantages for different application needs.

Findings

RCAN achieves higher numerical precision for phase map reconstruction.

Real-ESRGAN improves visual quality and structural coherence.

Super-Resolution models help overcome diffraction limits in holographic microscopy.

Abstract

This study investigates the application of Super-Resolution techniques in holographic microscopy to enhance quantitative phase imaging. An off-axis Mach-Zehnder interferometric setup was employed to capture interferograms. The study evaluates two Super-Resolution models, RCAN and Real-ESRGAN, for their effectiveness in reconstructing high-resolution interferograms from a microparticle-based dataset. The models were assessed using two primary approaches: image-based analysis for structural detail enhancement and morphological evaluation for maintaining sample integrity and phase map accuracy. The results demonstrate that RCAN achieves superior numerical precision, making it ideal for applications requiring highly accurate phase map reconstruction, while Real-ESRGAN enhances visual quality and structural coherence, making it suitable for visualization-focused applications. This study highlights the potential of Super-Resolution models in overcoming diffraction-imposed resolution limitations in holographic microscopy, opening the way for improved imaging techniques in biomedical diagnostics, materials science, and other high-precision fields.