检索结果-内蒙古大学图书馆

arXiv 2021年

作者： Suo, Jinli Zhang, Weihang Gong, Jin Yuan, Xin Brady, David J. Dai, Qionghai Department of Automation Institute for Brain and Cognitive Sciences Tsinghua University Beijing100084 China Bell Labs Murray HillNJ07974 United States Wyant College of Optical Sciences University of Arizona TucsonAZ85721 United States

Signal capture stands in the forefront to perceive and understand the environment and thus imaging plays the pivotal role in mobile vision. Recent explosive progresses in Artificial Intelligence (AI) have shown great potential to develop advanced mobile platforms with new imaging devices. Traditional imaging systems based on the"capturing images first and processing afterwards" mechanism cannot meet this unprecedented demand. Differently, Computational Imaging (CI) systems are designed to capture high-dimensional data in an encoded manner to provide more information for mobile vision systems. Thanks to AI, CI can now be used in real systems by integrating deep learning algorithms into the mobile vision platform to achieve the closed loop of intelligent acquisition, processing and decision making, thus leading to the next revolution of mobile vision. Starting from the history of mobile vision using digital cameras, this work first introduces the advances of CI in diverse applications and then conducts a comprehensive review of current research topics combining CI and AI. Motivated by the fact that most existing studies only loosely connect CI and AI (usually using AI to improve the performance of CI and only limited works have deeply connected them), in this work, we propose a framework to deeply integrate CI and AI by using the example of self-driving vehicles with high-speed communication, edge computing and traffic planning. Finally, we outlook the future of CI plus AI by investigating new materials, brain science and new computing techniques to shed light on new directions of mobile vision systems. Copyright © 2021, The Authors. All rights reserved.

关键词： Computer vision

来源：评论

学校读者我要写书评

暂无评论

Correction for color artifacts using the RGB intersection and the weighted bilinear interpolation

引用

APPLIED OPTICS 2019年第29期58卷 8083-8091页

作者： Wang, Xiuhua Jia, Xinyue Zhou, Wei Qin, Xiaoyun Guo, Hanming Univ Shanghai ForSci & Technol Engn Res Ctr Opt Instrument & Syst Shanghai Key Lab Modern Opt Syst Minist EducSch Opt Elect & Comp Engn 516 Jungong Rd Shanghai 200093 Peoples R China

Due to the defects of optical systems, image sensors, and imperfect algorithms for image acquisition, compression, and restoration, color artifacts often appear in images obtained by imaging devices such as digital cameras and scanners. Moreover, color artifacts are difficult to eliminate because of technical limitations, even in some mature commercial cameras. On the basis of red, green, and blue (RGB) intersection (RGBI), a correction method for color artifacts is proposed in this paper, where the RGB intersection-based method can effectively detect various types of color artifacts. Also, by combining the object information with weighted bilinear interpolation, the continuity of the image is kept while restoring the real color. Experiments demonstrate that the RGBI method, which is applicable to all color images, can eliminate various types of color artifacts with accurate detection and less artifact residue, even if the image has severe color distortion or the areas of the color artifacts are small and discrete. (C) 2019 optical Society of America

关键词： Color difference Color spaces Digital imaging Image processing algorithms Image quality Image sensors

来源：评论

学校读者我要写书评

暂无评论

单像素成像理论与方法(特邀)

引用

红外与激光工程 2021年第12期50卷 1-14页

作者：翟鑫亮吴晓燕孙艺玮石剑虹曾贵华上海交通大学区域光纤通信网与新型光通信系统国家重点实验室量子感知与信息处理研究中心上海200240

单像素成像技术是一种可通过无空间分辨能力的单像元探测器来获取目标图像信息的新型成像技术,与传统"所见即所得"的光学成像技术相比具有高灵敏、抗干扰和高分辨等一系列优点,在遥感探测、国防军事和生物医学等领域有着广阔... 详细信息

单像素成像技术是一种可通过无空间分辨能力的单像元探测器来获取目标图像信息的新型成像技术,与传统"所见即所得"的光学成像技术相比具有高灵敏、抗干扰和高分辨等一系列优点,在遥感探测、国防军事和生物医学等领域有着广阔的应用前景。近年来,随着计算能力的提升和光电器件的发展,单像素成像受到越来越多学者们的关注。简要回顾了单像素成像的发展历程,详细介绍了单像素成像的基本原理、调制矩阵设计、图像恢复算法等方面的研究进展,并对其应用场景和未来发展趋势进行了总结和展望。

关键词：单像素成像鬼成像压缩感知图像恢复

来源：评论

学校读者我要写书评

暂无评论

Fundus image quality assessment: survey, challenges, and future scope

引用

IET IMAGE processing 2019年第8期13卷 1211-1224页

作者： Raj, Aditya Tiwari, Anil Kumar Martini, Maria G. Indian Inst Technol Dept Elect Engn Jodhpur Rajasthan India Kingston Univ Fac Sci Engn & Comp London England

Various ocular diseases, such as cataract, diabetic retinopathy, and glaucoma have affected a large proportion of the population worldwide. In ophthalmology, fundus photography is used for the diagnosis of such retinal disorders. Nowadays, the set-up of fundus image acquisition has changed from a fixed position to portable devices, making acquisition more vulnerable to distortions. However, a trustworthy diagnosis solely relies upon the quality of the fundus image. In recent years, fundus image quality assessment (IQA) has drawn much attention from researchers. This study presents a detailed survey of the fundus IQA research. The survey covers a comprehensive discussion on the factors affecting the fundus image quality and the real-time distortions. The fundus IQA algorithms have been analysed on the basis of the methodologies used and divided into three classes, namely: (i) similarity-based, (ii) segmentation-based, and (iii) machine learning based. In addition, limitations of state of the art in this research field are also presented with the possible solutions. The objective of this study is to provide a detailed information about the fundus IQA research with its significance, present status, limitations, and future scope. To the best of the authors' knowledge, this is the first survey paper on the fundus IQA research.

关键词： learning (artificial intelligence) biomedical optical imaging diseases image segmentation medical image processing eye photography fundus image quality assessment fundus photography fundus image acquisition fundus IQA algorithms

来源：评论

学校读者我要写书评

暂无评论

Despite the ongoing pandemic, OSA staff, topical editors, and reviewers maintain JOSA B's high standards: editorial

引用

JOURNAL OF THE optical SOCIETY OF AMERICA B-optical PHYSICS 2021年第5期38卷 ED1-ED2页

作者： Busch, Kurt Humboldt Univ Berlin Germany

关键词： Coherent communications Photonic crystal fibers Quantum communications Quantum cryptography Quantum information processing Quantum optics

来源：评论

学校读者我要写书评

暂无评论

Remote Sensing for Maritime Monitoring and Vessel Prompt Identification 11th

Remote Sensing for Maritime Monitoring and Vessel Prompt Ide...

引用

11th International Conference on Multimedia and Network information systems (MISSI)

作者： Reggiannini, Marco Righi, Marco Tampucci, Marco Bedini, Luigi Di Paola, Claudio Martinelli, Massimo Mercurio, Costanzo Salerno, Emanuele Natl Res Council Italy Inst Informat Sci & Technol I-56124 Pisa Italy Mapsat SRL Contrada Piano Cappelle 1 I-82100 Benevento BN Italy

ISBN: (纸本)9783319986784;9783319986777

The main purpose of the work described in this paper concerns the development of a platform dedicated to sea surveillance, capable of detecting and identifying illegal maritime traffic. This platform results from the cascade implementation of several image processing algorithms that take as input Radar or optical maps captured by satelliteborne sensors. More in detail, the processing chain is dedicated to (i) the detection of vessel targets in the input map, (ii) the refined estimation of the vessel most descriptive geometrical features and, finally, (iii) the estimation of the kinematic status of the vessel. This platform will represent a new tool for combating unauthorized fishing, irregular migration and related smuggling activities.

关键词： Maritime traffic monitoring SAR sensing optical sensing Ship detection Image segmentation Image classification Wake detection and analysis

来源：评论

学校读者我要写书评

暂无评论

基于焦平面编码调控的计算成像:研究现状与发展趋势(特邀)

引用

光学学报(网络版) 2024年第1期1卷 13-58页

作者：王博文张许管海涛梁坤瑶李晟张润南曾敏裴子豪陈钱左超南京理工大学电子工程与光电技术学院智能计算成像实验室江苏南京210094 南京理工大学智能计算成像研究院(SCIRI) 江苏南京210019 江苏省光谱成像与智能感知重点实验室江苏南京210094

基于“所见即所得”的传统光电成像技术本质上是光场二维强度信号在空间维度上的直接均匀采样记录与再现的过程。受光学成像系统与光电探测器件工艺与物理极限制约,传统光电成像技术已难以满足多个领域日益增长的高分辨率、高灵敏度以... 详细信息

基于“所见即所得”的传统光电成像技术本质上是光场二维强度信号在空间维度上的直接均匀采样记录与再现的过程。受光学成像系统与光电探测器件工艺与物理极限制约,传统光电成像技术已难以满足多个领域日益增长的高分辨率、高灵敏度以及多维高速成像的迫切需求。计算成像技术通过将前端物理域的光学调控与后端数字域的信息处理紧密结合,为打破传统成像技术的诸多限制提供了创新的解决方案,成为未来先进光学成像技术的发展趋势。从成像链路组成角度来看,计算光学成像技术的光学调控手段可分为照明调控、光学系统调控、待测物体调控以及探测器调控几大类。本文重点聚焦于探测器调控——通过在成像链路最末端的图像传感器焦平面处引入编码器件(如位移器、掩模版、空间光调制器等)进行高维光场调控,结合后端重建算法实现强度、相位、三维信息、光场、光谱等解耦,从而实现高性能光电成像与探测。该类方法有望突破传统光电成像技术成像维度受限、成像模态单一的固有瓶颈,为实现高分辨率、多维度、高光谱、小型化、超快成像探测等提供新的途径。

关键词：计算成像编码调控超分辨探测光场感知光谱成像超快探测

来源：评论

学校读者我要写书评

暂无评论

Computer Networking for Management information System of Unmanned Vehicles

Computer Networking for Management Information System of Unm...

引用

International Conference on Transparent optical Networks

作者： Sergey Sokolov Andrey Boguslavsky Keldysh Institute of Applied Mathematics RAS Miusskaya Square 4 Moscow Russia

ISBN: (数字)9781728184234

ISBN: (纸本)9781728184241

The ever-increasing need for the large-scale implementation of unmanned vehicles requires situational awareness of such vehicles. In this case two general directions are possible. The first: simplification and fixing situations with vehicles movements. The second: improving the onboard control system and its information component. We focus on the second direction in our study. information support of vehicles, especially systems of technical vision, requires ever-increasing computing resources and intelligent technologies in algorithmic support. The experience of our research shows that reconfigurable high-performance heterogeneous resources are the effective software and hardware tool for information support of autonomous vehicles Such devices combine sequentially parallel processing of visual data. In the process of developing such resources, we use a heterogeneous computer network based on the PCI express bus. The report describes the general scheme of such a network, considers hardware and software configurations for solving application task, gives the results of experiments to solve the issues of collecting and processing visual data, and discusses the prospects for the development of this approach.

关键词： Visualization Hardware Software Field programmable gate arrays Uniform resource locators Unmanned vehicles Software algorithms

来源：评论

学校读者我要写书评

暂无评论

Experimental test of nonclassicality with arbitrarily low detection efficiency

引用

Physical Review A 2020年第3期102卷 032621-032621页

作者： Alley Hameedi Breno Marques Piotr Mironowicz Debashis Saha Marcin Pawłowski Mohamed Bourennane Department of Physics Stockholm University S-10691 Stockholm Sweden Centro de Ciências Naturais e Humanas Universidade Federal do ABC–UFABC Santo André Brazil Department of Algorithms and System Modeling Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Gdańsk 80-233 Poland International Centre for Theory of Quantum Technologies University of Gdańsk Wita Stwosza 57 80-308 Gdańsk Poland Institute of Theoretical Physics and Astrophysics University of Gdańsk 80-952 Gdańsk Poland

We theoretically introduce and experimentally demonstrate the realization of a nonclassicality test that allows for arbitrarily low detection efficiency without invoking an extra assumption of independence of the devices. Our test and its implementation is set in a prepare-and-measure scenario with an upper limit on the classical communication capacity of the channel through which the systems are communicated. The essence for our test is the use of two preparation and two measurement devices, which are randomly paired in each round. Our work opens the possibility for experimental realizations of nonclassicality tests with off-the-shelf technology.

关键词： optical quantum information processing Quantum communication Quantum correlations in quantum information Quantum networks Quantum optics

来源：评论

学校读者我要写书评

暂无评论

Luetooth Stereo Audio System with Active Noise Cancelation

Luetooth Stereo Audio System with Active Noise Cancelation

引用

Mechatronics, Remote Sensing, information systems and Industrial information Technologies (ICMRSISiiT), International Conference on

作者： U. Olanipekun Mabel O. Omoregbee Henry O. Ajayi Adedayo Tshwane University of Technology Pretoria South Africa University of Lagos Akoka Lagos Nigeria Federal University of Agriculture Abeokuta Nigeria

ISBN: (纸本)9781728104874

although, sound systems are obtainable for outdoor use, battery-powered audio devices are what is mostly found in today's portable music. Using a class D Audio amplifier, it is possible to couple a Bluetooth device with the amplifier, coming up with a system that can receive and process audio signals through Bluetooth connection. With every communication system, Noise is always considered as unwanted signal. The signal to noise ratio statistical characteristics in practical application can't be learned or are usually unknown so that we barely design fix coefficient digital filter in insinuation to the noise problem in the Bluetooth stereo audio *** “on-line” FIR or iiR filter weights of active noise and vibration control systems of an adaptive algorithm used for optimizing is basically derived from adaptive algorithms used in systems such as telescope adaptive optics and telephone echo-cancellers to cancel unwanted” noise “optics and thus develop distant star *** this work an adaptive noise cancellation system is designed to minimize the noise in the Bluetooth stereo audio system. Using the least mean square (LMS) algorithm, the coefficient of the filter in the active noise cancellation system is altered in variation to noise signal characteristics, which in turn made the active noise system adaptive.

关键词： optical filters Bluetooth Adaptive systems Finite impulse response filters Audio systems Signal processing algorithms iiR filters

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：