Illumination Modulation

Illumination modulation encompasses techniques for controlling and manipulating light sources to improve image quality, enhance security systems, or optimize data transmission in optical fibers. Current research focuses on developing algorithms and models, such as GAN-based approaches and dual-modulated learning frameworks, to address challenges like low-light imaging, adversarial attacks on face recognition, and accurate HDR lighting estimation across diverse environments. These advancements have implications for various fields, including computer vision, image processing, and optical communication, by improving image fidelity, enhancing security robustness, and increasing the efficiency of data transmission.