High-Resolution Image Fusion of Linearly Polarized Subsurface Optical Images

In high numerical aperture (NA) subsurface imaging, we can obtain higher resolution in selected directions at the expense of resolutions in other directions, utilizing the vectorial properties of polarized light. In this work, we propose an image fusion framework that produces a single image with higher resolution and image quality in all directions by processing multiple images acquired by varying the polarization direction of the linearly polarized input laser light.