Wavefront Modulation

Wavefront modulation manipulates the shape of light waves to achieve improved imaging and sensing capabilities, primarily addressing challenges like imaging through scattering media and capturing high-fidelity spectral information. Current research emphasizes learning-based approaches, employing deep neural networks and algorithms like deep unrolling to optimize wavefront shaping and reconstruct images from incomplete or distorted data. These advancements have significant implications for diverse fields, including medical imaging, astronomy, and laser technology, by enabling higher-resolution imaging and more accurate measurements in complex scenarios.