Photonics, Free Full-Text

Photons Counted Integral Imaging (PCII) reconstructs 3D scenes with both focused and off-focused voxels. The off-focused portions do not contain or convey any visually valuable information and are therefore redundant. In this work, for the first time, we developed a six-ensembled Deep Neural Network (DNN) to identify and remove the off-focused voxels from both the conventional computational integral imaging and PCII techniques. As a preprocessing step, we used the standard Otsu thresholding technique to remove the obvious and unwanted background. We then used the preprocessed data to train the proposed six ensembled DNNs. The results demonstrate that the proposed methodology can efficiently discard the off-focused points and reconstruct a focused-only 3D scene with an accuracy of 98.57%.

An integrated photonics engine for unsupervised correlation detection

Micromachines, Free Full-Text

Photonics Spectra Conference 2022: January 10 - 13, Webinars

AMOLF Institutional Repository: Integrating sphere Fourier microscopy of highly directional emission

Open Access Research on High-speed free-space optical communication using standard fiber communication components without optical amplification (Full -Text)

Medunsa-Prospekt 2017 Herunterladen - Colaboratory

Photonics Wyant College of Optical Sciences

Laser & Photonics Reviews: Vol 17, No 12

Laser & Photonics Reviews: Vol 16, No 2

IET Digital Library: Quantum-based satellite free space optical communication and microwave photonics

Saiful Dzulkefly Zan on LinkedIn: Photonics Worldwide - This is my Lab

Optical System design - WinLens

Highlighting photonics: looking into the next decade, eLight

Nonvolatile programmable silicon photonics using an ultralow-loss Sb2Se3 phase change material