By ucla ita Researchers at the UCLA Samueli School of Engineering, in collaboration with the Optical Systems Division at Broadcom Inc., reported a broadband, polarization-insensitive unidirectional imager that operates in the visible spectrum, capable of...
|
By ucla ita Diffractive deep neural networks (D2NNs) are optical systems composed of successive transmissive layers optimized through deep learning to perform computational tasks in an all-optical manner.
|
By ucla ita The team from UCLA has introduced an information-hiding camera that integrates an optical encoder with an electronic decoder, jointly optimized through deep learning.
|
By ucla ita Scientists at UCLA have unveiled a groundbreaking technology that could revolutionize the fields of imaging and optical communications.
|
By ucla ita Traditional optical imaging technologies rely on intensity-based sensors that can only capture the amplitude of light, leaving out the crucial phase information.
|
By ucla ita While image denoising algorithms have undergone extensive research and advancements in the past decades, classical denoising techniques often necessitate numerous iterations for their inference, making them less suitable for real-time applications.
|
