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image-based method for the angular vibration measurement of a linear array camera

APPLIED OPTICS 2021年第4期60卷 1003-1012页

作者： Xue Zhi-Peng Wang Chao Li Ming Wang Chunxue Jia Hongguang Yu Yue Chang Guang Satellite Technol Co 1299 Mingxi Rd Changchun 130102 Peoples R China Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys 3888 Dong Nanhu Rd Changchun 130033 Peoples R China Univ Chinese Acad Sci 19 A Yuquan Rd Beijing 100049 Peoples R China

Measurements of angular vibration of aerial cameras in a variety of operating conditions are critical to analyze the performance of the vibration isolation system. Instead of using an additional optical system to measure the angular motion of the camera, an image-based and easy-to-implement method is proposed for the linear array camera to measure the image motions captured by the camera directly. The natural frequencies of the vibration isolation were also measured by laboratory vibration test. For image vibration measuring, the angular vibration is represented in image motion by the relationship between the image motion and angular motion of the camera. Based on the push-broom imaging principle, the image motion at the edge of the foreground image of the linear object is extracted using image processing technology including image segment and edge detection methods. Then the image motion is analyzed in the time and frequency domains. The proposed method has been successfully demonstrated for the angular vibration measurement by a flight test. The results of the vibration sensors and the position and orientation system of the flight tests are also given to validate the effectiveness and accuracy of the proposed approach. (C) 2021 Optical Society of America

关键词： CCD cameras image processing image processing algorithms image quality Position sensing Position sensing equipment

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Translational Photoacoustic Imaging for Disease Diagnosis, Monitoring, and Surgical Guidance: introduction to the feature issue

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BIOMEDICAL OPTICS EXPRESS 2021年第7期12卷 4115-4118页

作者： Xia, Jun Bell, Muyinatu A. Lediju Laufer, Jan Yao, Junjie SUNY Buffalo Dept Biomed Engn Buffalo NY 14260 USA Johns Hopkins Univ Dept Elect & Comp Engn 3400 N Charles St Baltimore MD 21218 USA Martin Luther Univ Halle Wittenberg Inst Phys von Danckelmann Pl 3 D-06120 Halle Saale Germany Duke Univ Dept Biomed Engn Durham NC 27708 USA

This feature issue of Biomedical Optics Express covered all aspects of translational photoacoustic research. Application areas include screening and diagnosis of diseases, imaging of disease progression and therapeutic response, and image-guided treatment, such as surgery, drug delivery, and photothermal/photodynamic therapy. The feature issue also covers relevant developments in photoacoustic instrumentation, contrast agents, image processing and reconstruction algorithms. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image processing algorithms image reconstruction Imaging systems Optical computed tomography Photoacoustic imaging Photodynamic therapy

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Comparison of linear and nonlinear deconvolution algorithms for co-optimization of depth-of-field enhancing binary phase masks

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OSA CONTINUUM 2021年第2期4卷 589-601页

作者： Leveque, Olivier Kulcsar, Caroline Goudail, Francois Univ Paris Saclay Inst Opt Grad Sch CNRS Lab Charles Fabry F-91127 Palaiseau France

The depth-of-field of imaging systems can be enhanced by placing a phase mask in their aperture stop and deconvolving the image. In general, the mask is optimized using a closed-form image quality criterion assuming deconvolution with a Wiener filter. However, nonlinear deconvolution algorithms may have better performance, and the question remains as to whether a better co-designed system could be obtained from optimization with a criterion based on such algorithms. To investigate this issue, we compare optimization of phase masks with criteria based on the Wiener filter and on a nonlinear algorithm regularized by total variation. We show that the obtained optimal masks are identical, and propose a conjecture to explain this fact. This result is important since it supports the frequent co-design practice consisting of optimizing a system with a closed-form criterion based on linear deconvolution and deconvolving with a nonlinear algorithm. (c) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image deconvolution image processing algorithms image quality image reconstruction Imaging systems Power spectral density

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Imaging through fog using quadrature lock-in discrimination

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OSA CONTINUUM 2021年第5期4卷 1649-1657页

作者： Kumar, Shashank Debnath, Bapan Meena, M. S. Fade, Julien Dhar, Sankar Alouini, Mehdi Bretenaker, Fabien Ramachandran, Hema Rantan Res Inst Bangalore 560080 Karnataka India Indian Space Res Org Space Applicat Ctr Ahmadabad Gujarat India Univ Rennes CNRS Inst FOTON UMR 6082 F-35000 Rennes France Shiv Nadar Univ Gautam Buddha Nagar 201314 Uttar Pradesh India Univ Paris Saclay CNRS ENS Paris Saclay Cent SupelecLuMIn F-91190 Gif Sur Yvette France

We report experiments conducted in the field in the presence of fog, that were aimed at imaging under poor visibility. By means of intensity modulation at the source and two-dimensional quadrature lock-in detection by software at the receiver, a significant enhancement of the contrast-to-noise ratio was achieved in the imaging of beacons over hectometric distances. Further by illuminating the field of view with a modulated source, the technique helped reveal objects that were earlier obscured due to multiple scattering of light. This method, thus, holds promise of aiding in various forms of navigation under poor visibility due to fog. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： Fast Fourier transforms image processing image processing algorithms image quality LED sources Multiple scattering

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Light field microscopy based on structured light illumination

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OPTICS LETTERS 2021年第14期46卷 3424-3427页

作者： Fu, Zhiqiang Geng, Qiang Chen, Jialong Chu, Li-An Chiang, Ann-Shyn Chen, Shih-Chi Chinese Univ Hong Kong Dept Mech & Automat Engn Shatin Hong Kong Peoples R China Natl Tsing Hua Univ Brain Res Ctr 101Sect 2Kuang Fu Rd Hsinchu 30013 Taiwan

In this Letter, we present the modeling, design, and characterization of a light sheet-based structured light illumination (SLI) light field microscopy (LFM) system for fast 3D imaging, where a digital micromirror device is employed to rapidly generate designed sinusoidal patterns in the imaging field. Specifically, we sequentially obtain uniformly illuminated and structured light field images, followed by post-processing with a new, to the best of our knowledge, algorithm that combines the deconvolution and HiLo algorithms. This enables fast volumetric imaging with improved optical cross-sectioning capability at a speed of 50 volumes per second over an imaging field of 250 x 250 x 80 mu m(3) in the x, y, and z axis, respectively. Mathematical models have been derived to explain the performance enhancement due to suppressed background noises. To verify the results, imaging experiments on fluorescence beads, fern spore, and Drosophila brain samples, have been performed. The results indicate that the light sheet-based SLI-LFM presents a fast 3D imaging solution with substantially improved optical cross-sectioning capability in comparison with a standard light sheet-based LFM. The new light field imaging method may find important applications in the field of biophotonics. (C) 2021 Optical Society of America.

关键词： Digital micromirror devices image processing algorithms Imaging techniques Light fields Plenoptic imaging Three dimensional imaging

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integrated on a CMOS image sensor

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OSA CONTINUUM 2021年第1期4卷 229-238页

作者： He, Xin Liu, Yajing Beckett, Paul Uddin, Hemayet Nirmalathas, Ampalavanapillai Unnithan, Ranjith R. Univ Melbourne Dept Elect & Elect Engn Melbourne Vic 3010 Australia RMIT Univ Sch Engn Melbourne Vic 3000 Australia Australian Natl Fabricat Facil Melbourne Ctr Nanofabricat Clayton Vic 3168 Australia

The CMY colour camera is different from the RGB counterpart where the subtractive colours cyan, magenta and yellow are used. The CMY camera performs better than an RGB camera in low light conditions. However, conventional CMY colour filter technology made of pigments and dyes are limited in performance for next generation image sensors with submicron pixel sizes. This is because the conventional CMY filters cannot be fabricated in nanoscale as they use their absorption properties to subtract colours. This paper presents a CMOS compatible nanoscale thick CMY colour mosaic made of Al-TiO2-Al nanorods forming a total number of 0.82 million colour filter pixels with each filter pixel size of 4.4 mu m arranged in a CMYM pattern. The colour mosaic was then integrated on a MT9P031 image sensor to make a CMY camera and colour imaging is demonstrated using a 12 colour Macbeth chart. The developed technology will have applications in astronomy, low exposure time imaging in biology, and photography.

关键词： Color spaces image processing algorithms image sensors Surface plasmon polaritons Surface plasmons Time imaging

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Detail enhancement for infrared images based on Relativity of Gaussian-Adaptive Bilateral Filter

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OSA CONTINUUM 2021年第10期4卷 2671-2686页

作者： Feng, Xiongwei Pan, Zhongliang South China Normal Univ Sch Phys & Telecommun Engn Guangzhou 510006 Peoples R China

Detail enhancement is the key to the display of infrared image. For the infrared image detail enhancement algorithms, it is very important to present a good visual effect for people effectively. A novel algorithm for detail enhancement of infrared images is proposed in this paper. The method is based on the relativity of Gaussian-adaptive bilateral Filter. The algorithm consists of three steps. The first step is to divide the input image into the base layer and the detail layer by the relativity of Gaussian-adaptive bilateral filter. In the second step, the detail layer is multiplied by the proposed weight coefficient, and the base layer is processed by histogram projection. The third step is to combine the detail layer and the base layer processed in the second step and output it to the 8-bit domain display. Compare with other methods, the new algorithm reduces the running time greatly. The experimental results showed that the proposed algorithm improves the contrast of infrared images effectively. (C) 2021 Optical Society of America under the terms of the OSA Open Access Publishing Agreement

关键词： image enhancement image fusion image processing algorithms image quality Imaging systems Thermal imaging

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Multimorphological top-hat-based multiscale target classification algorithm for real-time image processing

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APPLIED OPTICS 2019年第22期58卷 6045-6056页

作者： Chen, Zhenzhen Xing, Fei You, Zheng Wei, Minsong Zhan, Haiyang Tsinghua Univ Dept Precis Instrument Beijing 10084 Peoples R China Tsinghua Univ State Key Lab Precis Measurement Technol & Instru Beijing 10084 Peoples R China Univ Calif Berkeley Dept Mech Engn Berkeley CA 94720 USA

The traditional top-hat method is a commonly used method that quickly separates targets from a background. It is used for its fast processing speed and wide range of applications on programmable hardware. However, in some important fields such as microfluidic control, medicine, aerospace, and optical measurement, the observed targets are often spotted with different sizes. The formation mechanism of multiscale spots varies from each other so that they can not be successfully extracted and classified by the traditional top-hat method. To ensure the integrity of targets with a specific size and suppressed noise, the imaging mechanism of different types of spots are studied, and an improved top-hat method with a gray-scale value-based transform is proposed. Compared with the traditional top-hat method, the proposed algorithm is more effective in completely removing unwanted spots. The calculated results of the simulated and real images verify the effectiveness of the double top-hat method in extracting targets with a specific size. Additionally, the resolution of this method is up to the parameter k, which has been discussed in this paper. Furthermore, a multi-top-hat algorithm is presented to distinguish spots of different sizes, and it could be used for real-time multiscale target detection and tracking, as well as real-time multiscale target detection and tracking. (C) 2019 Optical Society of America

关键词： Digital image processing Edge detection image analysis image fusion image processing algorithms Optical measurement

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Tunable-liquid-crystal-filter-based low-light-level color night vision system and its image processing method

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APPLIED OPTICS 2019年第18期58卷 4947-4955页

作者： Yuan, Tao Han, Zhenghao Li, Li Jin, Weiqi Wang, Xia Wang, Hailin Bai, Xiaofeng Beijing Inst Technol MOE Key Lab Optoelect Imaging Technol & Syst Beijing 100081 Peoples R China Sci & Technol Low Light Level Night Vis Lab Xian 710065 Shaanxi Peoples R China

We introduce and verify a single-channel time-division filtering low-light-level (LLL) color night vision system (3LCNV). The imaging scheme, comprising a tunable liquid crystal filter, three-generation GaAsP image intensifier, and CMOS camera, achieves LLL color imaging and ensures sensitivity. The image enhancement and color reconstruction algorithm flow suitable for LLL night vision combines overexposure-against white balance, color correction matrix (CCM) color correction, and color image denoising to improve color visibility and reduce color difference and image noise. The proposed night vision system extends the minimum working illuminance to 10(-4) lx and achieves natural and clear color LLL imaging, improving night-time observations. (C) 2019 Optical Society of America

关键词： image metrics image processing algorithms image quality Liquid crystal filters Reconstruction algorithms Visibility

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Spatial images from temporal data

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OPTICA 2020年第8期7卷 900-905页

作者： Turpin, Alex Musarra, Gabriella Kapitany, Valentin Tonolini, Francesco Lyons, Ashley Starshynov, Ilya Villa, Federica Conca, Enrico Fioranelli, Francesco Murray-Smith, Roderick Faccio, Daniele Univ Glasgow Sch Comp Sci Glasgow G12 8QQ Lanark Scotland Univ Glasgow Sch Phys & Astron Glasgow G12 8QQ Lanark Scotland Politecn Milan Dipartimento Elettron Informaz & Bioingn I-20133 Milan Italy Delft Univ Technol Dept Microelect NL-2628 CD Delft Netherlands

Traditional paradigms for imaging rely on the use of a spatial structure, either in the detector (pixels arrays) or in the illumination (patterned light). Removal of the spatial structure in the detector or illumination, i.e., imaging with just a single-point sensor, would require solving a very strongly ill-posed inverse retrieval problem that to date has not been solved. Here, we demonstrate a data-driven approach in which full 3D information is obtained with just a single-point, single-photon avalanche diode that records the arrival time of photons reflected from a scene that is illuminated with short pulses of light. Imaging with single-point time-of-flight (temporal) data opens new routes in terms of speed, size, and functionality. As an example, we show how the training based on an optical time-of-flight camera enables a compact radio-frequency impulse radio detection and ranging transceiver to provide 3D images. Published by The Optical Society under the terms of the Creative Commons Attribution 4.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.

关键词： Detector arrays image processing image processing algorithms Imaging techniques Phase recovery Three dimensional imaging

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