Reflective FSM microscan MWIR image super-resolution with TV-AG joint regularization

Infrared imaging plays a fundamental role in commercial aerospace applications, providing reliable sensing under challenging conditions such as nighttime or cloudy weather. The spatial resolution of infrared images, however, remains constrained by payload size, power consumption, and detector performance. In this study, we developed and realized a high-resolution mid-wave infrared imaging system based on a reflective microscan mechanism with a fast-steering mirror for precise sub-pixel displacements, integrated with a multi-frame super-resolution reconstruction method. An explicit degradation and downsampling model incorporating sub-pixel shifts is formulated and solved via a joint total variation (TV)-alternating gradient (AG) regularization strategy, where TV suppresses high-frequency noise and AG enhances directional weak edges characteristic of infrared targets. By integrating these strategies, the reconstruction simultaneously reduces noise, preserves weak directional edges, and mitigates the impact of sub-pixel motion errors. Experimental results demonstrate that the proposed approach enhances spatial resolution and edge fidelity, highlighting its practical value for compact commercial aerospace infrared payloads.