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检索条件"任意字段=Conference on AOPC - Computing Imaging Technology"

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A flexible and controllable condenser device based on programmable LCD for multi-modal imaging

A flexible and controllable condenser device based on progra...

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conference on aopc - computing imaging technology

作者： Xu, Qiulong Fan, Yao Zuo, Chao Nanjing Univ Sci & Technol Sch Elect & Opt Engn Smart Computat Imaging Lab SCILab Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Smart Computat Imaging Res Inst SCIRI Nanjing 210019 Jiangsu Peoples R China Jiangsu Key Lab Spectral Imaging Intelligent Sens Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)9781510672413;9781510672406

The rise of "computational optics" provides a new way for label-free microscopic imaging. Programmable illumination modulation devices [light emitting diode (LED), liquid-crystal-display (LCD), or spatial light modulator (SLM)] have been introduced into light microscopes to give them multimodal imaging capabilities. Nevertheless, due to the discontinuity of the LED array and the high light loss of the LCD, the existing illumination modulation scheme still needs to be optimized. In this paper, we report a programmable illumination modulation condenser for multi-modal microscopic imaging. By placing a high transmittance LCD inside a condenser, this device enables flexible modulation of the illumination light wavelength and angle without altering the existing optical layout. The high transmittance LCD greatly increases the transmittance of illumination light, which is further converged on the sample by the condenser, resulting in higher illumination intensity to produce high contrast images. In addition, the programmable condenser can be used as a flexible add-on module compatible with any commercial microscope to extend the imaging modality of conventional bright-field microscopes. Ultimately, we validated the accuracy and dependability of the programmable illumination modulation condenser by imaging spongy germ cells.

关键词： Computational imaging LCD multimodal imaging condenser

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Reconstruction quality evaluation of Compressed Sensing Image Mapping Spectrometer

Reconstruction quality evaluation of Compressed Sensing Imag...

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conference on aopc - computing imaging technology

作者： Yang, Shuya Ding, Xiaoming Yuan, Hao Lu, Dunqiang Yan, Qiangqiang Tianjin Normal Univ Tianjin Key Lab Wireless Mobile Commun & Power Tr Tianjin 300387 Peoples R China Shaanxi Key Lab Opt Remote Sensing & Intelligent Xian 710119 Peoples R China Xian Inst Opt & Precis Mech CAS Key Lab Spectral Imaging Technol Xian 710119 Peoples R China

ISBN: (纸本)9781510672413;9781510672406

This paper uses traditional algorithms and deep learning algorithms to recover datacube obtained by CASSI and CSIMS in order to verify that CSIMS outperforms CASSI by comparing the Peak Signal to Noise Ratio (PSNR), Structural Similarity (SSIM) and Relative spectral Quadratic Error (RQE) of the reconstructed datacube. The experimental results show that the datacube of CASSI and CSIMS can be both reconstructed by ADMM- TV algorithm which is the most effective among the traditional algorithms. PSNR of the reconstructed datacube of CASSI is 32.50 dB, while that of CSIMS is 35.53 dB, with an increase of 3.03 dB. By using deep learning algorithm, both systems improve substantially under the PnP-HSI network, with PSNR of CASSI growing to 38.85 dB and that of CSIMS growing to 41.97 dB, which can be seen that CSIMS is still 3.12 dB higher than CASSI.

关键词： Snapshot spectral imaging Compression sensing Image mapper Deep learning

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Impact of boundary conditions on accuracy of quantitative phase imaging

Impact of boundary conditions on accuracy of quantitative ph...

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conference on aopc - computing imaging technology

作者： Jin, Yao Shu, Yefeng Zhang, Yuzhen Sun, Jiasong Zuo, Chao Nanjing Univ Sci & Technol Sch Elect & Opt Engn Smart Computat Imaging Lab SCILab Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Smart Computat Imaging Res Inst SCIRI Nanjing 210019 Jiangsu Peoples R China Jiangsu Key Lab Spectral Imaging Intelligent Sens Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)9781510672413;9781510672406

Quantitative phase imaging (QPI) has gained extensive attention in the field of biomedical imaging and life sciences due to its unique ability to quantify the important physical characteristics of living cells and tissues without labeling. However, boundary conditions have always seriously affected the accuracy of QPI, which are frequently overlooked. When acquiring the original data, the sample being tested is habitually placed at the center of the field of view, unconsciously avoiding the influence of the boundary conditions, but this does not fundamentally solve the problem. When the size of the object being tested exceeds that of the imaging field of view (FOV), the boundary conditions cannot be avoided, and serious boundary artifacts will appear in the reconstructed FOV. In various QPI techniques, such as the transport of intensity equation (TIE), differential phase contrast (DPC), and Fourier ptychographic microscopy (FPM), it has been demonstrated that the boundary conditions can significantly impact the accuracy of the phase reconstruction. The most fundamental reason for the incorrect reconstruction results caused by the boundary conditions is the loss of information. This paper systematically studies the impact of the boundary conditions on the reconstruction accuracy of quantitative phase imaging and adaptive aberration correction based on FPM, and discusses the influence of data redundancy on boundary artifacts of phase reconstruction.

关键词： Quantitative phase imaging Boundary conditions Fourier ptychographic microscopy Data redundancy

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Phase recovery method for PTF and PGTF spectrum fusion based on optimized illumination

Phase recovery method for PTF and PGTF spectrum fusion based...

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conference on aopc - computing imaging technology

作者： Liu, Na Chen, Li Fan, Yao Zheng, Chenyue Zuo, Chao Nanjing Univ Sci & Technol Sch Elect & Opt Engn Smart Computat Imaging Lab SCILab Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Smart Computat Imaging Res Inst SCIRI Nanjing 210019 Jiangsu Peoples R China Jiangsu Key Lab Spectral Imaging & Intelligent Se Nanjing 210094 Jiangsu Peoples R China Southeast Univ Sch Comp Sci & Engn Lab Image Sci & Technol Nanjing Peoples R China

ISBN: (纸本)9781510672413;9781510672406

Differential phase contrast (DPC) imaging is a non-interferometric, label-free and efficient quantitative phase imaging method based on partially coherent illumination modulation, of which the two widely used forms are the method based on the slow-variable-object approximation solved by the phase gradient transfer function (PGTF) and the method based on the weak-object approximation solved by the phase transfer function (PTF). Both methods can recover the phase well under their respective approximations, but for phase recovery of certain complex phase objects in reality, they are lackluster due to the limitations imposed by their use of approximations. To break this limitation, a spectral fusion method is proposed in this paper, which can take into account the low-frequency generalization and high-frequency details of phase objects and achieve efficient and accurate quantitative phase imaging by effectively merging the phases reconstructed by PTF and PGTF in the frequency domain on the basis of optimized illumination. Relevant simulations and experiments demonstrate the effectiveness of the method.

关键词： Differential phase contrast phase transfer function phase gradient transfer function optimized illumination spectral fusion

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Phase retrieval based on the tilting movement of the modulator

Phase retrieval based on the tilting movement of the modulat...

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conference on aopc - computing imaging technology

作者： Lan, Jun Xu, Cheng Pang, Hui Chen, Jinsong Lan, Zhou Xue, Cheng Hu, Song Yang, Yong Chinese Acad Sci Natl Key Lab Opt Field Manipulat Sci & Technol Chengdu 610209 Peoples R China Chinese Acad Sci Inst Opt & Elect State Key Lab Opt Technol Nano Fabricat & Microen Chengdu 610209 Peoples R China Chinese Acad Sci Inst Opt & Elect Chengdu 610209 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781510672413;9781510672406

In lensless imaging, encoding the diffraction field recorded by the detector by adding a laterally or axially moving mask is the most common configuration. In this paper, we propose a new scheme for improving the speed and accuracy of complex object reconstruction. Particularly, a random binary amplitude mask is placed upstream of the object and moves obliquely to introduce speckle illumination on the object plane. The object and the detector are stationary in the experiment. Inspired by the idea of ptychography, the extended ptychographic iterative engine algorithm is adopted to reconstruct the object and unknown mask simultaneously. It is verified by simulation that our proposed method can improve the reconstruction resolution of the complex object compared with the conventional method. Further, the relevant parameters of the proposed scheme are also optimized. This improvement will facilitate the widespread application of lensless imaging in biology and materials science.

关键词： phase retrieval image techniques lensless imaging

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Laser protection performance of a wavefront encoding imaging system with a tangent phase mask

Laser protection performance of a wavefront encoding imaging...

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conference on aopc - computing imaging technology

作者： Li, Yangliang Ye, Qing Wu, Yunlong Zhang, Hao Luo, Haoqi Sun, Xiaoquan Natl Univ Def Technol State Key Lab Pulsed Power Laser Technol Hefei 230037 Anhui Peoples R China Adv Laser Technol Lab Anhui Prov Hefei 230037 Anhui Peoples R China

ISBN: (纸本)9781510672413;9781510672406

Wavefront encoding is an efficient way to extend the depth of focus of optical imaging systems, and its core component, the phase mask, determines its performance in extending the depth of focus. It is worth noting that wavefront coding technology is also an important method for laser protection. On the one hand, its optical field modulation effect realizes the redistribution of laser energy at the imaging plane, reduces the maximum single-pixel received power, and improves the laser blinding protection capability of the imaging system;on the other hand, its out-of-focus imaging plane can reduce the echo detection received power, and achieves the goal of improving the laser reconnaissance protection capability while ensuring the imaging quality. This article presents a laser transmission model for the tangent phase plate wavefront coding imaging system while exploring its protective performance at varying defocus distances to verify its laser protection potential. The findings show that the system offers efficient protective capabilities, as the maximum single-pixel receiving power decreases by an order of magnitude, and the echo detection receiving power reduces nearly three orders of magnitude. Further, the study assesses the protective performance of the system at different propagation distances. The results indicate that when propagation distances vary between 100 m and 10,000 m, the maximum single-pixel receiving power of the wavefront coding imaging system decreases rapidly and then stabilizes, whereas the echo detection receiving power rapidly decreases to approximately 0 mW. Through systematic simulation, the study successfully explores the laser protection performance of the tangent phase mask wavefront coding imaging system, verifying its effectiveness.

关键词： Wavefront encoding optical imaging systems laser protection

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Analysis of image algorithm in x-ray cascade grating phase contrast imaging based on Fourier transform

Analysis of image algorithm in x-ray cascade grating phase c...

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conference on aopc - computing imaging technology

作者： Zhu, Minghui Zeng, Jiacheng Huang, Jianheng Lei, Yaohu Liu, Xin Li, Ji Shenzhen Univ Coll Phys & Optoelect Engn Minist Educ & Guangdong Prov Key Lab Optoelect Devices & Syst Shenzhen 518060 Peoples R China

ISBN: (纸本)9781510672413;9781510672406

The cascade X-ray phase-contrast imaging system is composed of a set of Talbot-Lau interferometers and inverse Talbot-Lau interferometers, which can avoid the difficulty of making small-period high aspect ratio absorption gratings, and is expected to realize the application of X-ray phase-contrast imaging for large-field of view. This equipment can simultaneously obtain the absorption images, phase contrast images and scattering images of the sample using Fourier transform algorithm of a single sample exposure. The selection of the frequency domain window function of the sample fringe image and its influencing factors are the key to optimize image quality. Aiming at the X-ray cascade grating phase-contrast imaging system, this paper use the X-ray chest transmission image as the simulation sample, simulates the selection scheme of Fourier window function in frequency domain and its influencing factors by numerical calculation, and obtains the selection range of window function for the optimal image. The simulation results show that the optimal window function is selected by taking the high frequency edge of the sample fringe image as one side edge of the window function and extending linearly to the low frequency side. The selection range of window function is inversely proportional to the sample fringe period. The smaller the fringe period is, the larger the selection range of window function is, and the more favorable it is to obtain the optimal phase-contrast image.

关键词： X-ray imaging Talbot-Lau interferometer Fourier transform phase contrast image

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Resolution enhancement for light field microscopic 3D imaging based on polarization and data fusion

Resolution enhancement for light field microscopic 3D imagin...

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conference on aopc - computing imaging technology

作者： Shi, Wenqi Kong, Lingbao Fudan Univ Shanghai Engn Res Ctr Ultra Precis Opt Mfg Sch Informat Sci & Technol Shanghai 200438 Peoples R China

ISBN: (纸本)9781510672413;9781510672406

Light field microscopy (LFM) is an emerging three-dimensional (3D) imaging technology that simultaneously captures both spatial and angular information of the incident light by placing a micro lens array (MLA) in front of an imaging sensor, enabling computational reconstruction of the full 3D volume of a specimen via a single camera frame or single shot imaging. Unlike other 3D imaging techniques that acquire spatial information sequentially or through scanning, LFM four-dimensional (4D) imaging scheme effectively frees volume acquisition time from spatial scales and easy to miniaturize, thus making LFM a highly scalable tool in diverse applications. However, its broad application has slowed down due to the low resolution of the limited angular and spatial information in one snapshot of captured image, the inhomogeneous resolution of reconstructed depth images, and the lack of lateral shift invariance, which greatly degrades the spatial resolution, causing grid-like artifacts and great computational complexity. The introduction of Fourier light field microscopy (FLFM) provides a promising path to improve the current LFM techniques and achieve high-quality imaging and rapid light field reconstruction. However, the inherent trade-off between the angular and spatial resolution is still not fundamentally resolved without the introduction of additional information. Polarization, another dimension of light field information, has been shown to integrate well with other 3D imaging techniques to obtain finer 3D reconstructions results. Unfortunately, this aspect has seldom received attention and is ignored in LFM. This paper presents a resolution enhancement scheme for Fourier light field microscopy system that utilizes polarization norms and light field point cloud data fusion to generate improved imaging resolution and 3D reconstruction accuracy. Different from conventional FLFM, this approach actively introduces additional surface polarization information of the sample in

关键词： Light field microscope 3D imaging Polarization Data fusion Resolution enhancement

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A lightweight fringe analysis network based on deep learning

A lightweight fringe analysis network based on deep learning

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conference on aopc - computing imaging technology

作者： Che, Yuxuan Yin, Wei Nanjing Univ Sci & Technol Smart Computat Imaging SCI Lab 200 Xiaolingwei St Nanjing 210094 Jiangsu Peoples R China Nanjing Univ Sci & Technol Jiangsu Key Lab Spectral Imaging & Intelligent Se Nanjing 210094 Jiangsu Peoples R China

ISBN: (纸本)9781510672413;9781510672406

Recently, deep learning has yielded transformative success across optics and photonics, especially in optical metrology. Deep neural networks (DNNs) with a fully convolutional architecture (e.g., U-Net and its derivatives) have been widely implemented in an end-to-end manner to accomplish various optical metrology tasks, such as fringe denoising, phase unwrapping, and fringe analysis. However, the task of training a DNN to accurately identify an image-to-image transform from massive input and output data pairs seems at best naive, as the physical laws governing the image formation or other domain expertise pertaining to the measurement have not yet been fully exploited in current deep learning practice. To this end, we introduce a physics-informed deep learning method for fringe pattern analysis (PI-FPA) to overcome this limit by integrating a lightweight DNN with a learning-enhanced Fourier transform profilometry (LeFTP) module. By parameterizing conventional phase retrieval methods, the LeFTP module embeds the prior knowledge in the network structure and the loss function to directly provide reliable phase results for new types of samples, while circumventing the requirement of collecting a large amount of high-quality data in supervised learning methods. Guided by the initial phase from LeFTP, the phase recovery ability of the lightweight DNN is enhanced to further improve the phase accuracy at a low computational cost compared with existing end-to-end networks. Experimental results demonstrate PI-FPA enables more accurate and computationally efficient single-shot phase retrieval.

关键词： High-speed 3D fringe analysis deep learning

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Non-uniformity Correction for Infrared Cameras with Variable Integration Time based on Two-point Correction

Non-uniformity Correction for Infrared Cameras with Variable...

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conference on aopc - Infrared Device and Infrared technology

作者： Wang, Jie Hong, Wenqing Kunming Inst Phys Kunming Yunnan Peoples R China

ISBN: (数字)9781510649989

ISBN: (纸本)9781510649989;9781510649972

Infrared cameras can benefit the extended dynamic range by changing the integration time, especially for infrared high dynamic range imaging. But many proposed non-uniformity correction methods based on the two-point correction model incur a degradation of image quality when the integration time changes from the calibrating values. The paper describes a linear infrared camera response model and uses it to analyze the failure of the two-point correction method when change integration time. The analysis result reveals that, with the linear response model, the two-point correction offset parameter needs to be updated according to the immediate integration time, and calculated by a linear equation. Thus, the non-uniformity correction method with the ability to vary the integration time arbitrarily is proposed. To reduce the impact of the nonlinearity in real response and the temporal noise on computing the correction parameters, a parameter calculation method is also proposed of using multiple images of different temperature uniform references under different integration times. The correction effect under arbitrary integration time of the proposed method is verified by correcting images of an extended-area blackbody from 5 degrees C to 100 degrees C covering a wide range of the integration times from 0.4ms to 26ms. The mean value of the non-uniformity of all blackbody images corrected by our method can reach about 0.1%.

关键词： Infrared imaging non-uniformity correction integration time

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