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基于语料库的“Ghost”语义韵对比研究——以小说《歌剧魅影》为例 被引量:2
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作者 伍晓飞 《周口师范学院学报》 CAS 2019年第4期75-78,共4页
基于数据以及数据驱动的研究方法,对卡斯顿·勒鲁《歌剧魅影》中的"ghost"一词进行研究分析,并自建Opera语料库。将其与COCA语料库对比,通过AntConc 3.2.1w进行词语检索,采用软件中的Collocates将Opera语料库和COCA语料库... 基于数据以及数据驱动的研究方法,对卡斯顿·勒鲁《歌剧魅影》中的"ghost"一词进行研究分析,并自建Opera语料库。将其与COCA语料库对比,通过AntConc 3.2.1w进行词语检索,采用软件中的Collocates将Opera语料库和COCA语料库中MI值大于3.0的"ghost"显著搭配词筛选出来,从而进行语义韵对比研究;另外,在基于数据的前提下,建立类联接,并分析研究这两个语料库中的语义韵。 展开更多
关键词 语料库 《歌剧魅影》 ghost 语义韵对比
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“一键GHOST”,傻瓜式系统备份与恢复
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作者 俞木发 《现代计算机(中旬刊)》 2005年第11期70-70,共1页
现在大家电脑安装的一般是Windows XP系统,并且大多没有软驱.由于无法进入纯DOS.而且以前版本的GHOST无法在NTFS下运行,再加上GHOST操作比较复杂,给菜鸟们系统备份/恢复带来很大不便,不过“一键GHOST”的出现解决了菜鸟们的难题... 现在大家电脑安装的一般是Windows XP系统,并且大多没有软驱.由于无法进入纯DOS.而且以前版本的GHOST无法在NTFS下运行,再加上GHOST操作比较复杂,给菜鸟们系统备份/恢复带来很大不便,不过“一键GHOST”的出现解决了菜鸟们的难题。只需要接方向键和回车键,就可以轻松地一键备份/恢复系统(即使是NTFS系统)。 展开更多
关键词 ghost 系统备份 Windows NTFS 电脑安装 XP系统 恢复系统 DOS
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天生我“Ghost”必有用
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作者 李明愈 《电脑技术——Hello-IT》 2003年第2期32-34,共3页
叮铃铃!……“Hi!新年好!哪一位?请讲!”“我是阿浩!你去哪里了?放假都一周了,这才听到你的声音。你可好?” “我?很好啊 ,每天到网上走走、QQ聊聊、E-mail写写,一句话,放寒假的感觉不要太爽噢!你呢?”“我的电脑‘昏’过去了?穷... 叮铃铃!……“Hi!新年好!哪一位?请讲!”“我是阿浩!你去哪里了?放假都一周了,这才听到你的声音。你可好?” “我?很好啊 ,每天到网上走走、QQ聊聊、E-mail写写,一句话,放寒假的感觉不要太爽噢!你呢?”“我的电脑‘昏’过去了?穷忙了一星期?!”“没有这么夸张吧?!我的电脑没事,最近又学到了一招,照本宣科,用Ghost6.0做了一个备份,前后半小时就搞定,马上批发给你,电脑就有备无患了嘛!”“够意思,咱是哥们啊。如果我操作顺利的话,一定让伊妹儿给你报个信,Bye-bye!” 展开更多
关键词 ghost 系统备份文件 WINDOWS 操作系统 安装
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利用“GHOST”快速格式化硬盘
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作者 赫建 《办公自动化》 2005年第11期40-40,共1页
GHOST是一款优秀的磁盘镜像/恢复软件,根据其功能可知,可以进行硬盘的快速格式化.最近,笔者进行了这方面的试验,效果良好,特介绍给读者朋友们参考.
关键词 格式化硬盘 ghost 快速格式化 恢复软件 磁盘镜像
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新招“备”出——把“Ghost”加到你的主板BIOS中去
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《计算机应用文摘》 2003年第23期49-50,共2页
许多使用电脑的朋友都有这样的共识:由于病毒或者操作的失误,导致硬盘上的数据丢失和系统崩溃,对于一个事先未做好备份工作的使用者来说会带来意想不到无法弥补的损失。因此对计算机进行经常性的备份工作提高系统的安全性.已成为日... 许多使用电脑的朋友都有这样的共识:由于病毒或者操作的失误,导致硬盘上的数据丢失和系统崩溃,对于一个事先未做好备份工作的使用者来说会带来意想不到无法弥补的损失。因此对计算机进行经常性的备份工作提高系统的安全性.已成为日常工作学习中必不可少的一部分。 展开更多
关键词 系统崩溃 数据备份 系统的安全性 奔驰主板 ghost WINDOWS操作系统 格式化
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基于Ghost-SE-Res2Net的多模型融合语音唤醒词检测方法 被引量:1
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作者 虞秋辰 周若华 袁庆升 《计算机工程》 CAS CSCD 北大核心 2024年第3期52-59,共8页
语音唤醒词检测(WWD)是语音交互中的关键技术,选择合适大小的检测窗对WWD性能的影响很大。提出一种新的多模型融合方法,通过融合小检测窗和大检测窗的检测结果来提高WWD性能。多模型融合方法包含两个分类模型,分别使用小检测窗和大检测... 语音唤醒词检测(WWD)是语音交互中的关键技术,选择合适大小的检测窗对WWD性能的影响很大。提出一种新的多模型融合方法,通过融合小检测窗和大检测窗的检测结果来提高WWD性能。多模型融合方法包含两个分类模型,分别使用小检测窗和大检测窗,均基于轻量化的挤压与激励残差网络(SE-Res2Net)模块,即GhostSE-Res2Net,SE-Res2Net结构的多尺度机制可显著提升WWD的能力。在Ghost-SE-Res2Net中,首先使用Ghost卷积替换SE-Res2Net中的普通卷积以降低模型参数量,然后使用注意力池化层替换SE-Res2Net中的全局平均池化层进一步提升WWD能力。在实际检测时融合连续3个小检测窗模型的检测结果的最大值和1个大检测窗模型的检测结果,来判断唤醒词是否被触发。在训练时引入困难样本挖掘算法,选择性地学习较难检测的唤醒词信息以提高分类模型的检测性能。在包含2个唤醒词的Mobvoi数据集上评估系统性能,实验结果表明,在每小时0.5次错误唤醒的情况下,该系统在2个唤醒词上的错误拒绝率分别为0.46%和0.43%,实现了与先进基线相似的性能,并且系统参数量比基线少31%。 展开更多
关键词 唤醒词检测 ghost模块 Res2Net结构 错误拒绝 多模型融合
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基于Ghost-YOLOv5s的SAR图像舰船目标检测
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作者 张慧敏 黄炜嘉 李锋 《火力与指挥控制》 CSCD 北大核心 2024年第4期24-30,共7页
基于星载合成孔径雷达(synthetic aperture radar,SAR)图像的舰船目标检测中,为了平衡模型大小与检测精度,提出了一种基于Ghost卷积的SAR图像舰船目标检测方法Ghost-YOLOv5s。在YOLOv5s的颈部引入Ghost卷积,以减少模型参数和压缩模型体... 基于星载合成孔径雷达(synthetic aperture radar,SAR)图像的舰船目标检测中,为了平衡模型大小与检测精度,提出了一种基于Ghost卷积的SAR图像舰船目标检测方法Ghost-YOLOv5s。在YOLOv5s的颈部引入Ghost卷积,以减少模型参数和压缩模型体积;将高效的通道注意力机制(efficient channel attention,ECA)融入到颈部的C3模块里,以突出重要特征,从而保持较高的检测性能;使用SIoU损失函数替换原来的CIoU损失函数,以减少预测框和真实框之间的偏差,提高检测算法精度。实验结果表明,在SSDD遥感数据集上,改进模型与YOLOv5s相比,模型参数量减少了6.28%,模型体积减小了6.21%,检测精度达到了98.21%,实现了模型大小与检测精度的平衡。 展开更多
关键词 合成孔径雷达 深度学习 ghost卷积 注意力机制
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基于Ghost模块的农资图像文本检测算法及其应用
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作者 殷昌山 杨林楠 罗爽 《湖北农业科学》 2024年第8期61-65,共5页
针对农资图像中文本的检测速度慢并且缺乏移动端的应用等问题,基于农资图像数据集,提出了一种基于Ghost模块的农资图像文本检测算法,该算法对DB网络进行改进,使用MobileNetv2网络来提取基础特征,引入多尺度特征融合模块来获得多层之间... 针对农资图像中文本的检测速度慢并且缺乏移动端的应用等问题,基于农资图像数据集,提出了一种基于Ghost模块的农资图像文本检测算法,该算法对DB网络进行改进,使用MobileNetv2网络来提取基础特征,引入多尺度特征融合模块来获得多层之间的特征融合,并采用可微分二值化后处理算法预测文本,使其能够快速地检测农资图像中的文本。该算法在农资图像数据集上的准确率基本达到了主流算法的标准,检测速度达18.6 img/s,参数量为2.99 M,具备轻量级的特征,将此算法部署到移动端设备上并成功运行。 展开更多
关键词 农资图像 文本检测 文本识别 ghost模块
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High-quality ghost imaging based on undersampled natural-order Hadamard source
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作者 Kang Liu Cheng Zhou +4 位作者 Jipeng Huang Hongwu Qin Xuan Liu Xinwei Li Lijun Song 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第9期404-411,共8页
Improving the speed of ghost imaging is one of the main ways to leverage its advantages in sensitivity and imperfect spectral regions for practical applications.Because of the proportional relationship between image r... Improving the speed of ghost imaging is one of the main ways to leverage its advantages in sensitivity and imperfect spectral regions for practical applications.Because of the proportional relationship between image resolution and measurement time,when the image pixels are large,the measurement time increases,making it difficult to achieve real-time imaging.Therefore,a high-quality ghost imaging method based on undersampled natural-order Hadamard is proposed.This method uses the characteristics of the Hadamard matrix under undersampling conditions where image information can be fully obtained but overlaps,as well as deep learning to extract aliasing information from the overlapping results to obtain the true original image information.We conducted numerical simulations and experimental tests on binary and grayscale objects under undersampling conditions to demonstrate the effectiveness and scalability of this method.This method can significantly reduce the number of measurements required to obtain high-quality image information and advance application promotion. 展开更多
关键词 ghost imaging natural-order Hadamard deep learning
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High-visibility ghost imaging with phase-controlled discrete classical light sources
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作者 仵雪滢 赵岳 李利明 《Chinese Physics B》 SCIE EI CAS CSCD 2024年第7期328-334,共7页
We take phase modulation to create discrete phase-controlled sources and realize the super-bunching effect by a phasecorrelated method. From theoretical and numerical simulations, we find the space translation invaria... We take phase modulation to create discrete phase-controlled sources and realize the super-bunching effect by a phasecorrelated method. From theoretical and numerical simulations, we find the space translation invariance of the bunching effect is a key point for the ghost imaging realization. Experimentally, we create the orderly phase-correlated discrete sources which can realize high-visibility second-order ghost imaging than the result with chaotic sources. Moreover, some factors affecting the visibility of ghost image are discussed in detail. 展开更多
关键词 ghost imaging high visibility space translation invariance
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Joint Authentication Public Network Cryptographic Key Distribution Protocol Based on Single Exposure Compressive Ghost Imaging
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作者 俞文凯 王硕飞 商克谦 《Chinese Physics Letters》 SCIE EI CAS CSCD 2024年第2期47-56,共10页
In the existing ghost-imaging-based cryptographic key distribution(GCKD)protocols,the cryptographic keys need to be encoded by using many modulated patterns,which undoubtedly incurs long measurement time and huge memo... In the existing ghost-imaging-based cryptographic key distribution(GCKD)protocols,the cryptographic keys need to be encoded by using many modulated patterns,which undoubtedly incurs long measurement time and huge memory consumption.Given this,based on snapshot compressive ghost imaging,a public network cryptographic key distribution protocol is proposed,where the cryptographic keys and joint authentication information are encrypted into several color block diagrams to guarantee security.It transforms the previous single-pixel sequential multiple measurements into multi-pixel single exposure measurements,significantly reducing sampling time and memory storage.Both simulation and experimental results demonstrate the feasibility of this protocol and its ability to detect illegal attacks.Therefore,it takes GCKD a big step closer to practical applications. 展开更多
关键词 ghost ghost AUTHENTICATION
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基于Ghost卷积的高级别浆液性卵巢癌复发预测方法
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作者 唐艺菠 崔少国 +2 位作者 万皓明 王锐 刘丽丽 《计算机与现代化》 2024年第4期43-47,98,共6页
高级别浆液性卵巢癌是一种恶性肿瘤疾病,进行术前复发预测能帮助临床医生为患者提供个性化治疗方案,降低病人的死亡率。因该疾病的医学数据较少且难以获取,导致其深度学习模型难以得到充分的训练,复发预测准确率有待提高。针对此问题,... 高级别浆液性卵巢癌是一种恶性肿瘤疾病,进行术前复发预测能帮助临床医生为患者提供个性化治疗方案,降低病人的死亡率。因该疾病的医学数据较少且难以获取,导致其深度学习模型难以得到充分的训练,复发预测准确率有待提高。针对此问题,本文设计了一种改进的低参数残差网络TGE-ResNet34,以ResNet34为主干网络,将传统卷积模块用Ghost卷积代替,完成病灶区特征的提取,降低模型的参数量,在2个Ghost卷积之间融入ECA(Efficient Channel Attention)注意力机制,抑制无用特征提取的干扰,最后通过5折交叉验证模型,避免数据随机划分的偶然性。实验结果表明,改进设计的TGE-ResNet34网络准确率为96.01%,相比原基线网络准确率提高4.52个百分点,参数量减少15.98 M。 展开更多
关键词 高级别浆液性卵巢癌 残差网络 ghost卷积 注意力
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基于相位变换和GhostNet-门控循环单元的自动调制识别方法
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作者 陈昊 郭文普 康凯 《火箭军工程大学学报》 2024年第4期86-92,共7页
针对信号调制方式低信噪比条件下识别准确率不高的问题,提出了一种由相位变换、GhostNet、压缩与激励网络(Squeeze and Excitation Network,SENet)、门控循环单元(Gated Recurrent Unit,GRU)和深度神经网络组成的模型,用于自动调制识别... 针对信号调制方式低信噪比条件下识别准确率不高的问题,提出了一种由相位变换、GhostNet、压缩与激励网络(Squeeze and Excitation Network,SENet)、门控循环单元(Gated Recurrent Unit,GRU)和深度神经网络组成的模型,用于自动调制识别接收信号。首先,采用基准数据集RML2016.10a和RML2016.10b同相正交数据作为模型输入;其次,构建识别模型,其中,相位变换用于降低相位偏移对调制识别的影响,GhostNet和GRU分别用于提取调制信号的空间特征和时间特征,SENet用于对特征图权重进行调整;而后,通过深度神经网络进行分类;最后,对所提模型进行了训练及测试。实验结果表明:与现有模型CGDNet、CLDNN、IC-AMCNet、MCLDNN和LSTM相比,所提出模型显著降低了参数量,有效提升了低信噪比条件下的识别准确率,平均识别准确率分别达到62.30%和64.45%。 展开更多
关键词 自动调制识别 深度学习 相位变换 ghostNet 门控循环单元
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基于Ghost模块的改进YOLOv5目标检测算法 被引量:6
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作者 李宇翔 王帅 +2 位作者 陈伟 田子建 侯麟朔 《现代电子技术》 2023年第3期29-34,共6页
现有以YOLOv5为代表的目标检测技术,存在骨干网络对特征提取不充分以及颈部层未高效融合浅层位置信息和深层高级语义信息等问题,这会导致检测精度较低,小目标误检、漏检。针对此问题,从兼顾实时性与检测精度出发,对YOLOv5进行改进,提出... 现有以YOLOv5为代表的目标检测技术,存在骨干网络对特征提取不充分以及颈部层未高效融合浅层位置信息和深层高级语义信息等问题,这会导致检测精度较低,小目标误检、漏检。针对此问题,从兼顾实时性与检测精度出发,对YOLOv5进行改进,提出一种改进网络YOLOv5-CBGhost。首先在骨干网络中引入Ghost模块对模型进行轻量化处理,引入CA模块来更好地获得全局感受野,提高模型获取目标位置的准确度;然后借鉴双向加权特征金字塔网络,对原PAN结构进行改进,有效减少了特征冗余以及参数量,并通过跨层加权连接融合更多特征,提高了模型的目标检测精度;最后,增加多检测头以获取图片更丰富的高层语义信息,有效增加了检测精度。通过在PASCAL VOC2007+2012数据集上实验,YOLOv5-CBGhost的目标精度达到81.8%,相较于YOLOv5s,提高了3.0%,计算量减少42.5%,模型大小减少3.5%。 展开更多
关键词 目标检测 YOLOv5改进 ghost模块 模型处理 PAN结构改进 特征融合
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融合注意力机制与GhostUNet的路面裂缝检测方法 被引量:1
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作者 赵志宏 郝子晔 何朋 《电子测量技术》 北大核心 2023年第24期164-171,共8页
路面裂缝是道路最为常见的缺陷,随着深度学习技术的发展,利用深度学习的方法对路面图像中的裂缝信息提取的方法愈来愈多。针对现有深度学习路面裂缝检测方法提取裂缝特征不完整导致精度低以及实时性不足的问题,提出一种融合注意力机制与... 路面裂缝是道路最为常见的缺陷,随着深度学习技术的发展,利用深度学习的方法对路面图像中的裂缝信息提取的方法愈来愈多。针对现有深度学习路面裂缝检测方法提取裂缝特征不完整导致精度低以及实时性不足的问题,提出一种融合注意力机制与GhostUNet的路面裂缝检测方法。本方法由编码器和解码器组成,将U-Net中的常规卷积改进为Ghost卷积,减少模型参数量;在编码和解码部分,为了提高对裂缝特征的提取能力,引入ECA注意力机制和残差连接,ECA注意力模块可以过滤不相关的特征信息,利用残差连接可以避免网络退化现象。为评估本方法在裂缝检测方面的有效性,使用两个公开裂缝数据集,并进行消融实验和对比实验,实验结果F1_score、P和R分别比U-Net平均提高了14.48%、14.35%和14.45%;该模型相比U-Net参数量下降了14.2 MB。该模型与同类模型比较,分割的准确率更高,参数量更少。 展开更多
关键词 裂缝检测 ghost U-Net ECA 残差连接
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Optimization method of Hadamard coding plate inγ‑ray computational ghost imaging 被引量:3
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作者 Zhi Zhou San‑Gang Li +5 位作者 Qing‑Shan Tan Li Yang Ming‑Zhe Liu Ming Wang Lei Wang Yi Cheng 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2023年第1期146-156,共11页
Owing to the constraints on the fabrication ofγ-ray coding plates with many pixels,few studies have been carried out onγ-ray computational ghost imaging.Thus,the development of coding plates with fewer pixels is ess... Owing to the constraints on the fabrication ofγ-ray coding plates with many pixels,few studies have been carried out onγ-ray computational ghost imaging.Thus,the development of coding plates with fewer pixels is essential to achieveγ-ray computational ghost imaging.Based on the regional similarity between Hadamard subcoding plates,this study presents an optimization method to reduce the number of pixels of Hadamard coding plates.First,a moving distance matrix was obtained to describe the regional similarity quantitatively.Second,based on the matrix,we used two ant colony optimization arrangement algorithms to maximize the reuse of pixels in the regional similarity area and obtain new compressed coding plates.With full sampling,these two algorithms improved the pixel utilization of the coding plate,and the compression ratio values were 54.2%and 58.9%,respectively.In addition,three undersampled sequences(the Harr,Russian dolls,and cake-cutting sequences)with different sampling rates were tested and discussed.With different sampling rates,our method reduced the number of pixels of all three sequences,especially for the Russian dolls and cake-cutting sequences.Therefore,our method can reduce the number of pixels,manufacturing cost,and difficulty of the coding plate,which is beneficial for the implementation and application ofγ-ray computational ghost imaging. 展开更多
关键词 γ-ray computational ghost imaging Regional similarity Hadamard coding plate
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Ghost-Retina Net:Fast Shadow Detection Method for Photovoltaic Panels Based on Improved Retina Net 被引量:1
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作者 Jun Wu Penghui Fan +1 位作者 Yingxin Sun Weifeng Gui 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第2期1305-1321,共17页
Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large ove... Based on the artificial intelligence algorithm of RetinaNet,we propose the Ghost-RetinaNet in this paper,a fast shadow detection method for photovoltaic panels,to solve the problems of extreme target density,large overlap,high cost and poor real-time performance in photovoltaic panel shadow detection.Firstly,the Ghost CSP module based on Cross Stage Partial(CSP)is adopted in feature extraction network to improve the accuracy and detection speed.Based on extracted features,recursive feature fusion structure ismentioned to enhance the feature information of all objects.We introduce the SiLU activation function and CIoU Loss to increase the learning and generalization ability of the network and improve the positioning accuracy of the bounding box regression,respectively.Finally,in order to achieve fast detection,the Ghost strategy is chosen to lighten the size of the algorithm.The results of the experiment show that the average detection accuracy(mAP)of the algorithm can reach up to 97.17%,the model size is only 8.75 MB and the detection speed is highly up to 50.8 Frame per second(FPS),which can meet the requirements of real-time detection speed and accuracy of photovoltaic panels in the practical environment.The realization of the algorithm also provides new research methods and ideas for fault detection in the photovoltaic power generation system. 展开更多
关键词 Deep learning intensive object detection photovoltaic panel shadow ghost module retinanet
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Optical encryption scheme based on spread spectrum ghost imaging
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作者 刘进芬 董玥 +1 位作者 王乐 赵生妹 《Chinese Physics B》 SCIE EI CAS CSCD 2023年第7期375-381,共7页
An optical encryption(OE) scheme based on the spread spectrum ghost imaging(SSGI), named as SSGI-OE, is proposed to obtain a high security with a smaller key. In the scheme, the randomly selected row number of a Hadam... An optical encryption(OE) scheme based on the spread spectrum ghost imaging(SSGI), named as SSGI-OE, is proposed to obtain a high security with a smaller key. In the scheme, the randomly selected row number of a Hadamard matrix of order N is used as the secure key, and shared with the authorized user, Bob, through a private channel. Each corresponding row vector of the order-N Hadamard matrix is then used as the direct sequence code to modulate a speckle pattern for the ghost imaging system, and an image is encrypted with the help of the SSGI. The measurement results from the bucket detector, named as ciphertext, are then transmitted to Bob through a public channel. The illuminating speckle patterns are also shared with Bob by the public channel. With the correct secure key, Bob could reconstruct the image with the aid of the SSGI system, whereas the unauthorized user, Eve, could not obtain any useful information of the encrypted image. The numerical simulations and experimental results show that the proposed scheme is feasible with a higher security and a smaller key. For the 32 × 32 pixels image, the number of bits sent from Alice to Bob by using SSGIOE(M = 1024, N = 2048) scheme is only 0.0107 times over a computational ghost imaging optical encryption scheme.When the eavesdropping ratio(ER) is less than 40%, the eavesdropper cannot acquire any information of the encrypted image. The extreme circumstance for the proposed SSGI-OE scheme is also discussed, where the eavesdropper begins to extract the information when ER is up to 15%. 展开更多
关键词 optical encryption ghost imaging spread spectrum correlated imaging
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Principle of subtraction ghost imaging in scattering medium
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作者 付芹 白艳锋 +3 位作者 谭威 黄贤伟 南苏琴 傅喜泉 《Chinese Physics B》 SCIE EI CAS CSCD 2023年第6期250-254,共5页
Scattering medium in light path will cause distortion of the light field,resulting in poor signal-to-noise ratio(SNR)of ghost imaging.The disturbance is usually eliminated by the method of pre-compensation.We deduce t... Scattering medium in light path will cause distortion of the light field,resulting in poor signal-to-noise ratio(SNR)of ghost imaging.The disturbance is usually eliminated by the method of pre-compensation.We deduce the intensity fluctuation correlation function of the ghost imaging with the disturbance of the scattering medium,which proves that the ghost image consists of two correlated results:the image of scattering medium and the target object.The effect of the scattering medium can be eliminated by subtracting the correlated result between the light field after the scattering medium and the reference light from ghost image,which verifies the theoretical results.Our research may provide a new idea of ghost imaging in harsh environment. 展开更多
关键词 ghost imaging image reconstruction techniques scattering medium
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A probability theory for filtered ghost imaging
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作者 刘忠源 孟少英 陈希浩 《Chinese Physics B》 SCIE EI CAS CSCD 2023年第4期329-337,共9页
Based on probability density functions,we present a theoretical model to explain filtered ghost imaging(FGI)we first proposed and experimentally demonstrated in 2017[Opt.Lett.425290(2017)].An analytic expression for t... Based on probability density functions,we present a theoretical model to explain filtered ghost imaging(FGI)we first proposed and experimentally demonstrated in 2017[Opt.Lett.425290(2017)].An analytic expression for the joint intensity probability density functions of filtered random speckle fields is derived according to their probability distributions.Moreover,the normalized second-order intensity correlation functions are calculated for the three cases of low-pass,bandpass and high-pass filterings to study the resolution and visibility in the FGI system.Numerical simulations show that the resolution and visibility predicted by our model agree well with the experimental results,which also explains why FGI can achieve a super-resolution image and better visibility than traditional ghost imaging. 展开更多
关键词 ltered ghost imaging probability density function SUPER-RESOLUTION
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