Compressive HDR Light Field Imaging Using a Single Multi-ISO Sensor
In this paper, we propose a new design for single sensor compressive HDR light field cameras, combining multi-ISO photography with coded mask…
Read more
<p>TCI Volume 7 | 2021</p>
In this paper, we propose a new design for single sensor compressive HDR light field cameras, combining multi-ISO photography with coded mask…
Read moreWe propose Coordinate-based Internal Learning (CoIL) as a new deep-learning (DL) methodology for continuous representation of measurements. Unlike…
Read moreTomography has been widely used in many fields. The theoretical basis of tomography is the Radon transform, which is the line integral along a radial…
Read moreRecent efforts on solving inverse problems in imaging via deep neural networks use architectures inspired by a fixed number of iterations of an…
Read moreGiven a spectral library, sparse unmixing aims to estimate the fractional proportions in each pixel of a hyperspectral image scene. However, the ever…
Read moreIn cell and molecular biology, the fusion of green fluorescent protein (GFP) and phase contrast (PC) images aims to generate a composite image, which…
Read moreWe present an all-in-one camera model that encompasses the architectures of most existing compressive-sensing light-field cameras, equipped with a…
Read moreRecently, deep learning-based compressive imaging (DCI) has surpassed conventional compressive imaging in reconstruction quality and running speed…
Read moreIn this article, we propose a method to reconstruct the total electromagnetic field in an arbitrary two-dimensional scattering environment without…
Read moreMost digital cameras use specialized autofocus sensors, such as phase detection, lidar or ultrasound, to directly measure focus state. However, such…
Read more