The simulation of optical wavefront decomposition on Zernike polynomials based on the multi-channel diffractive optical element (DOE) was performed. This approach is an alternative to classical wavefront sensors and may be used to determine weighted values of aberrations in the analysed wavefront in real time thus, facilitating the aberrometry analysis of the human eye optical system. An invest...

This paper mainly addresses the problem of multipolar Synthetic Aperture Radar (SAR) and colorful optical images fusion by regarding them as multichannel images. Based on traditional wavelet-based and model-based fusion algorithms, the paper proposes a multi-channel image fusion algorithm based on a multi-multiturbo iterative method. Multi-multiframe is proposed to represent the original image ...

Physical geometry and optical properties of objects are correlated: cylinders focus light to a line, spheres to a point and arbitrarily shaped objects introduce optical aberrations. Multi-functional components with decoupled geometrical form and optical function are needed when specific optical functionalities must be provided while the shapes are dictated by other considerations like ergonomic...

Performance comparison between elastic optical networks and multi-rate optical networks, using different spectrum allocation algorithms to prevent fragmentation.

Optical sensors are the most common method for sensing touch input on multi-touch tables. This project’s approach was to build a large multi-input sensing table with multiple sensors to collect optical, pressure, and acoustic data. The data was aggregated and processed to create a computer music application using the table’s sensors. This application demonstrates the utility of accurate tempora...

Motivation: I Previous work shows improvement with better proposal methods [1] I State-of-the-art CNN based action classi cation relies on multi-frame optical ow [2] I Object recognition is improved by multiple-region feature [3] Contribution: I We introduce a motion Region Proposal Network (RPN) I We show that multi-frame optical ow signi cantly improves action detection I We embed a multi-reg...

Optical Coherence Tomography (OCT) uses the spatial and temporal coherence properties of optical waves backscattered from a tissue sample to form an image. An inherent characteristic of coherent imaging is the presence of speckle noise. In this study we use a new ensemble framework which is a combination of several Multi-Layer Perceptron (MLP) neural networks to denoise OCT images. The noise is...

A symmetrized split-step Fourier (SSSF) simulation model with global simulation accuracy control is extended to vector optical fiber multi-span propagation cases, which are applicable to the waveform level simulation of polarization multiplexed coherent optical communication systems. Using local error bound obtained from a scalar simulation package, the prescribed global simulation accuracy can...