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Signal Recovery and Synthesis III最新文献

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Proposal And Analysis Of Aberration-Free Array Imaging Using Phase Conjugation 相位共轭无像差阵列成像的提出与分析
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wb3
O. Ikeda
{"title":"Proposal And Analysis Of Aberration-Free Array Imaging Using Phase Conjugation","authors":"O. Ikeda","doi":"10.1364/srs.1989.wb3","DOIUrl":"https://doi.org/10.1364/srs.1989.wb3","url":null,"abstract":"In this article, a signal-processing method is proposed to achieve diffraction-limited imaging of objects present in an aberrating medium. An array optical system is needed to acquire the data; some adaptive optics systems or optical fiber systems may be applicable for this purpose. The data are then processed in a computer, following the physical concept of repeated transmission of phase-conjugated wave, to find out the wave sharply focusing at a single point on the object. A mathematical analysis of the method does not guarantee the generation of such a sharp focal beam. Studies by computer simulation, however, show that this method works fairly well except for a few exceptional cases of object.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"334 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127575248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Optical Tomography by Confocal Fluorescence Microscope 共聚焦荧光显微镜的光学层析成像
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fd1
O. Nakamura, S. Kawata, S. Minami
{"title":"Optical Tomography by Confocal Fluorescence Microscope","authors":"O. Nakamura, S. Kawata, S. Minami","doi":"10.1364/srs.1989.fd1","DOIUrl":"https://doi.org/10.1364/srs.1989.fd1","url":null,"abstract":"In the past few years, microscope tomography has been intensively studied.1-5 Agard and Sedat restored the 3-D structure of biological cells from the focus series images given by a conventional epi-fluorescence microscope, by inverting the 3-D optical transfer function of the system.1 However, since the 3-D OTF of an epi-fluorescence microscope is angularly band-limited,6 the 3-D spatial frequency components only within the angular band can be restored in their method. As a result, the longitudinal resolution in the restored 3-D structure is not at all satisfactory.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127584999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phase Retrieval Using Ayers/Dainty Deconvolution 基于分层/精细反卷积的相位检索
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fa3
J. H. Seldin, J. Fienup
{"title":"Phase Retrieval Using Ayers/Dainty Deconvolution","authors":"J. H. Seldin, J. Fienup","doi":"10.1364/srs.1989.fa3","DOIUrl":"https://doi.org/10.1364/srs.1989.fa3","url":null,"abstract":"An iterative algorithm developed by Ayers and Dainty [1] for the blind deconvolution of two functions is applied to the problem of phase retrieval. Because its structure closely resembles that of the Error Reduction (ER) algorithm commonly used for phase retrieval [2-4], the performance of the Ayers/Dainty (AD) algorithm is compared with that of ER. Both of these algorithms are compared to the faster hybrid input-output (HIO) algorithm [2-4] for the cases of real, nonnegative objects with known and unknown support using Fourier intensity data with different levels of additive Gaussian noise.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121626807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Iterative Design of Holographic Elements* 全息元素的迭代设计*
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thc2
D. Sweeney, G. F. Schils, N. Gallagher
{"title":"Iterative Design of Holographic Elements*","authors":"D. Sweeney, G. F. Schils, N. Gallagher","doi":"10.1364/srs.1989.thc2","DOIUrl":"https://doi.org/10.1364/srs.1989.thc2","url":null,"abstract":"Iterative synthesis is a powerful technique for designing certain types of diffractive holographic elements. The designs especially amenable to iterative methods are characterized by nonlinear partial constraints in two domains that are related through a transformation. This paper reviews three iterative design projects of this type. In the first example, holographic concepts are used to design a microwave mirror that modifies the phase of a reflected wavefront.1,2 Second, holographic correlation filters are designed that recognize a three-dimensional object viewed from any direction.3,4 Third, an iterative design for computer generated holograms makes optimum use of the recording device resolution.5,6","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Self-calibration techniques in radio-astronomy 射电天文学中的自校准技术
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wb1
T. Cornwell
{"title":"Self-calibration techniques in radio-astronomy","authors":"T. Cornwell","doi":"10.1364/srs.1989.wb1","DOIUrl":"https://doi.org/10.1364/srs.1989.wb1","url":null,"abstract":"Self-calibration is a technique used widely in radio-interferometry for high quality imaging of complex objects in conditions where the coherence samples are corrupted by severe amplitude and phase errors. It relies upon the concept of closure phase introduced by Roger Jennison in 1958. The closure phase is an observable which is unaffected by antenna-based calibration errors. However, rather than using the closure phases directly, the simplest form of self-calibration proceeds by allowing these antenna-based errors to be determined in the imaging process. This general principle is considerably more flexible than closure phase and can be extended to many different applications.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120938387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coherent Image Synthesis from Wavefront-Slope Measurements of a Nonimaged Laser-Speckle Field 非成像激光散斑场波前斜率测量的相干图像合成
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.fc3
P. Idell, J. Gonglewski
{"title":"Coherent Image Synthesis from Wavefront-Slope Measurements of a Nonimaged Laser-Speckle Field","authors":"P. Idell, J. Gonglewski","doi":"10.1364/srs.1989.fc3","DOIUrl":"https://doi.org/10.1364/srs.1989.fc3","url":null,"abstract":"We demonstrate that images of coherently illuminated objects can be formed from measurements of the wavefront slope (gradient) associated with a backscattcred laser field. The theoretical basis for this imaging technique is outlined, and we present the results of computer experiments in which we construct coherent images from digitally simulated laser-speckle measurements. We investigate the effect that measurement noise has on the quality of the reconstructed imagery.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122959513","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Superresolution in confocal scanning microscopy: Theory of the incoherent case 共聚焦扫描显微镜的超分辨率:非相干情况的理论
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wd3
M. Bertero, P. Boccacci, M. Defrise, C. D. Mol, E. Pike
{"title":"Superresolution in confocal scanning microscopy: Theory of the incoherent case","authors":"M. Bertero, P. Boccacci, M. Defrise, C. D. Mol, E. Pike","doi":"10.1364/srs.1989.wd3","DOIUrl":"https://doi.org/10.1364/srs.1989.wd3","url":null,"abstract":"In 1982 Bertero and Pike [1] showed that superresolution was possible in microscopy by recording the image over a larger area than the geometric one and subsequent inversion of the data by, for example, a singular system analysis. In a series of papers following, these authors and others have considered a number of special cases, both analytically and numerically. In this paper we investigate the incoherent case, which applies to confocal scanning fluorescence microscopy, in 1-D. Numerical studies have already given a clear indication of the form of the results for the case of an infinite recorded image, indicating a transfer function of the curious form shown in figure 1.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"71 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132433166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Coding and Quantization of Digital Holograms with Iterative Fourier Transform Algorithms 基于迭代傅立叶变换算法的数字全息图编码与量化
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thc5
F. Wyrowski
{"title":"Coding and Quantization of Digital Holograms with Iterative Fourier Transform Algorithms","authors":"F. Wyrowski","doi":"10.1364/srs.1989.thc5","DOIUrl":"https://doi.org/10.1364/srs.1989.thc5","url":null,"abstract":"The basic problem in digital Fourier holography is the calculation and fabrication of a thin diffractive structure - the digital hologram - which possesses a special Fraunhofer diffraction pattern. We call the diffracted light distribution signal and indicate it with f(x). Because f(x) is the Fraunhofer spectrum of the hologram transmittance F(u), we have the Fourier relationship Computer calculation of this equation results in a sampled version of F(u). In general the calculated data set is complex valued and analogous, i.e. the fabricated diffractive structure has to control the amplitude and the phase of the illuminating wave in an analogous manner. The fabrication of such a structure is very difficult.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120899232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Component Pattern Separation of Completely Unknown Fluorescent Images by Double Eigenvector Analysis 基于双特征向量分析的完全未知荧光图像成分模式分离
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.thb1
S. Kawata, K. Sasaki
{"title":"Component Pattern Separation of Completely Unknown Fluorescent Images by Double Eigenvector Analysis","authors":"S. Kawata, K. Sasaki","doi":"10.1364/srs.1989.thb1","DOIUrl":"https://doi.org/10.1364/srs.1989.thb1","url":null,"abstract":"We have proposed a new pattern recognition method, for interpreting image data from fluorescence microscopes. In this method, component patterns included in multispectral images of completely unknown mixture samples can be evaluated, without knowing the spectra or spatial patterns of the components [1,2]. Principal component analysis and optimization theory are used with nonnegativity constraints and entropy minimization. This method discovers unpredicted or unknown components in various microscopic environments. Even completely new material to the human beings could be found by this method. However, the method does not guarantee to give the true solution of component patterns, but instead an optimal one under the criterion of entropy minimization.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"137 1-2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120915840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Row and Block Action Projection Techniques for Image Restoration 图像恢复的行和块动作投影技术
Signal Recovery and Synthesis III Pub Date : 1900-01-01 DOI: 10.1364/srs.1989.wb2
C. Podilchuk, R. Mammone
{"title":"Row and Block Action Projection Techniques for Image Restoration","authors":"C. Podilchuk, R. Mammone","doi":"10.1364/srs.1989.wb2","DOIUrl":"https://doi.org/10.1364/srs.1989.wb2","url":null,"abstract":"The discrete image restoration problem consists of solving a set of linear equations where g represents the measured image, the M × N matrix H denotes the degradation operator and f represents the image to be determined. Since H is usually an ill-conditioned or rank-deficient matrix, solving the set of equations is not straightforward. In addition, the set of linear equations are inconsistent due to measurement errors, quantization noise, and inaccuracies in modeling. Therefore, direct inversion techniques are not applicable.","PeriodicalId":193110,"journal":{"name":"Signal Recovery and Synthesis III","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121285074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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