Key research themes
1. How can synthetic aperture techniques be optimized for super-resolution imaging in incoherent optical and ultrasound systems?
This body of research focuses on the development and enhancement of synthetic aperture (SA) imaging methods to surpass diffraction-limited resolution limits in incoherent optical microscopy and ultrasound imaging. These methods seek to improve image resolution and signal-to-noise ratio using various system architectures, modulation schemes, and computational reconstruction algorithms adapted for incoherent illumination and large-aperture formation. Overcoming challenges such as the need for coherent illumination, system complexity, and computational efficiency is central to advancing these applications in biomedical optics and non-destructive testing.
2. What are the algebraic and physical differences between synthetic aperture interferometry and digital beamforming in imaging radiometry, and how do array configurations impact image quality?
This theme analyzes and compares two principal synthetic aperture imaging radiometry approaches—Synthetic Aperture Interferometry (SAI) and Digital Beam Forming (DBF)—from an algebraic perspective, focusing on modeling matrix properties, antenna array geometry, and resultant image reconstruction errors. These studies are motivated by remote sensing space missions (e.g., SMOS) aiming to obtain precise environmental brightness temperature maps with compact antenna arrays. Understanding how antenna spacing and radiation pattern diversity affect system sensitivity, spatial resolution, and reconstruction stability is crucial for designing future high-resolution synthetic aperture radiometers.
3. How can coded and polynomial aperture engineering improve depth estimation and super-resolution in imaging systems?
This area encompasses theoretical and practical advancements in engineered apertures—coded apertures and polynomial aperture distributions—designed to enhance depth from defocus estimation and transverse resolution beyond traditional limits in imaging systems. By manipulating aperture shape and transmission profiles, researchers aim to modulate the point spread function (PSF) for improved blur identification, enhanced depth cues, and super-resolution effects in both passive and active imaging contexts (e.g., microscopy and computational imaging). These engineered apertures provide critical tools for extracting 3D scene information from single or limited input images.