Foveated ghost imaging based on deep learning

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August undefined, 2024

WebFeb 3, 2024 · We propose a deep learning computational ghost imaging (CGI) scheme to achieve sub-Nyquist and high-quality image reconstruction. Unlike the second-order-correlation CGI and compressive-sensing CGI, which use lots of illumination patterns and a one-dimensional (1-D) light intensity sequence (LIS) for image reconstruction, a deep … WebOct 1, 2024 · We present a framework for computational ghost imaging based on deep learning and customized pink noise speckle patterns. The deep neural network in this …

Foveated ghost imaging based on deep learning - NASA/ADS

WebThe simulation and experimental results show that DPFGI can detect objects in undersampled images with higher accuracy and achieve higher PSNR in the fovea … WebFoveated imaging for visual discovery. We propose a new method for turning an Internet-scale corpus of categorized images into a small set of human-interpretable discriminative visual elements using powerful tools … failure to comply will result in or to

DeepFovea: Using deep learning for foveated reconstruction

WebFoveated imaging provides a better tradeoff between situational awareness (field of view) and resolution, and is critical in long wavelength infrared regimes because of the size, weight, power, and cost of thermal sens… WebPanoramic ghost imaging (PGI) is a novel method by only using a curved mirror to enlarge the field of view (FOV) of ghost imaging (GI) to 360°, making GI a breakthrough in the applications with a wide FOV. However, high-resolution PGI with high efficiency is a serious challenge because of the large amount of data. Therefore, inspired by the variant … WebHOST imaging (GI), which was ﬁrst demonstrated by Pittman and Shih in 1995, is regarded as a novel imaging technologydifferent than conventionalmethods based on ﬁrst-order interference [1]. By employing second-order correlation, GI provides some promising features such as lens-less imaging, turbulence-free and high detection sensitivity. failure to comply with cass

Ghost Imaging Based on Deep Learning - PubMed

Research on multiple-image encryption scheme based on joint …

WebFoveated ghost imaging based on deep learning @article{Zhai2024FoveatedGI, title={Foveated ghost imaging based on deep learning}, author={Xiang Zhai and … WebNov 18, 2024 · What the research is: DeepFovea is a new AI-powered foveated rendering system for augmented and virtual reality displays. It renders images using an order of magnitude fewer pixels than previous systems, producing a full-quality experience that is realistic and gaze-contingent. failure to comply will result in legal actionWebJul 22, 2024 · Ghost imaging using deep learning (GIDL) is a kind of computational quantum imaging method devised to improve the imaging efficiency. However, among most proposals of GIDL so far, the... dog refuses to let baby sleep alone

"WebKeywords: ghost imaging,handwritten digit recognition,ghost handwritten recognition,deep learning. 1. Introduction. ... Several methods have been proposed for solving this problem, such as deep learning-based classification algorithms,[2]artificial neural networks,[3]and support vector machine classifier.[4] ... " - Foveated ghost imaging based on deep learning

Foveated ghost imaging based on deep learning

DeepFovea: Using deep learning for foveated reconstruction

WebApr 21, 2024 · Single-pixel imaging is based on the measurement of the level of correlation between the scene and a series of patterns. The patterns can either be projected onto the scene [known as structured illumination ( 1 ); closely related to the field of computational ghost imaging ( 41 – 43 )] or be used to passively mask an image of the scene, a ... WebSep 30, 2024 · In this paper, foveated ghost imaging based on deep learning (DPFGI) is proposed to generate non-uniform resolution speckle patterns according to the object …

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WebApr 11, 2024 · The imaging accuracy of deep learning-based scattering imaging techniques depends largely on the network structure and the speckle data quality. Up to now, many schemes based on deep learning to achieve imaging through single-layer scattering medium have been proposed. ... Underwater ghost imaging based on … WebDeep-learning-based multi-exposure fusion (MEF) methods restore scene irradiance using feature learning from LDR images. Given a set of multi-exposure LDR images X = {x 1, x 2, ⋯, x n}, the deep-learning-based HDR imaging method aims to learn a mapping function M with parameters θ that maps the LDR counterparts to an HDR image Y:

WebFeb 15, 2024 · In this paper, foveated ghost imaging based on deep learning (DPFGI) is proposed to generate non-uniform resolution speckle patterns according to the object detection results as the fovea point.

WebSuch imaging systems can be simplified by using a device capable of generating computer-programmable random light fields, which obvi-ates the requirement for the beam splitter and the camera because knowledge of the light field is held in the computer memory. This type of sys-tem was initially called computational ghost im- WebApr 24, 2024 · To overcome these challenges, a novel deep learning ghost imaging method is proposed in this paper. We modified the convolutional neural network that is …

WebBased on the numerical simulations and experimental results, this method can produce clear reconstruction images, even if the number of sampling accounts for 20% of the complete sampling. In our work, the possibility of minimizing sampling times was provided without prior knowledge, which may play an important role in real-time video imaging.

WebApr 11, 2024 · The imaging accuracy of deep learning-based scattering imaging techniques depends largely on the network structure and the speckle data quality. Up to… failure to comply with court order arsWebApr 20, 2024 · Since there are problems of easy cross-talk, large ciphertext transmission and low security in the process of multiple-image encryption, in order to solve these problems, a multiple-image encryption algorithm based on joint power spectral division multiplexing and ghost imaging (GI) is proposed. failure to comply with community orderWebAug 26, 2024 · Plentiful learning–based methods with various deep neural networks (DNNs) have been proposed. In this paper, we focus on the rapid progress of learning–based CGH in recent years. The generation principles and algorithms of CGH are introduced. The DNN structures frequently used in CGH are compared, … failure to collectively consulthttp://proceedings.mlr.press/v121/gilmour20a/gilmour20a.pdf failure to comply with a subpoena is perjuryWebDeep learning approaches have only recently become comparable. Two early convolu-tional approaches directly regressed landmark locations (Arik et al.,2024;Lee et al.,2024), ... A body of work based on foveated approaches to vision tasks exists, using approaches like the log-polar transform, the Cartesian foveated geometry, or the reciprocal ... failure to comply with court order illinoisWebMay 1, 2024 · In this paper, foveated ghost imaging based on deep learning (DPFGI) is proposed to generate non-uniform resolution speckle patterns according to the object … failure to comply with court order caWebDec 19, 2024 · In this manuscript, we propose a novel framework of computational ghost imaging, i.e., ghost imaging using deep learning (GIDL). With a set of images reconstructed using traditional GI and the corresponding ground-truth counterparts, a deep neural network was trained so that it can learn the sensing model and increase the … dog refuses to potty outside