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Feature ghost imaging for color identification

OPTICS EXPRESS 2023年第10期31卷 16213-16226页

作者： Gao, Zihan LI, Minghui Zheng, Peixia Xiong, Jiahao Zhang, Xuan Tang, Zikang Liu, Hong-Chao Univ Macau Inst Appl Phys & Mat Engn Ave Univ Taipa Macau Peoples R China

On the basis of computational ghost imaging (CGI), we present a new imaging tech-nique, feature ghost imaging (FGI), which can convert the color information into distinguishable edge features in retrieved grayscale images. With the edge features extracted by different order operators, FGI can obtain the shape and the color information of objects simultaneously in a single-round detection using one single-pixel detector. The feature distinction of rainbow colors is presented in numerical simulations and the verification of FGI's practical performance is conducted in experiments. Furnishing a new perspective to the imaging of colored objects, our FGI extends the function and the application fields of traditional CGI while sustaining the simplicity of the experimental setup. (c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Computational imaging Ghost imaging Hyperspectral imaging reconstruction algorithms Spatial light modulators Terahertz spectroscopy

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Rigorous simulation model of double-Ronchi shearing interferometry on lithographic tools

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APPLIED OPTICS 2023年第18期62卷 4759-4765页

作者： Niu, Zhiyuan Li, Sikun Liu, Yang Chinese Acad Sci Shanghai Inst Opt & Fine Mech Shanghai 201800 Peoples R China Dongfang Jingyuan Electron Ltd Beijing 100176 Peoples R China Univ Chinese Acad Sci Beijing 100039 Peoples R China

Double-Ronchi shearing interferometry is widely used in wavefront aberration measurements for advanced lithography projection lens systems. A rigorous simulation model of double-Ronchi shearing interferometry on lithographic tools is the precondition for phase-shifting retrieval algorithm design and error analysis. This paper presents a rigorous simulation model of double-Ronchi shearing interferometry considering the vector nature of light. The model is accurate and can be used in the study of double-Ronchi shearing interferometry. & COPY;2023 Optica Publishing Group

关键词： Light properties Phase shift reconstruction algorithms Shearing interferometry Spatial frequency Wavefront aberrations

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Keyframe-aided resolution enhancement network for dynamic super-resolution structured illumination microscopy

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OPTICS LETTERS 2023年第11期48卷 2949-2952页

作者： Tang, Yujun Wen, Gang Liang, Yong Wang, Linbo Zhang, Jie LI, Hui Univ Sci & Technol China Sch Biomed Engn Suzhou Div Life Sci & Med Suzhou 230041 Peoples R China Chinese Acad Sci Suzhou Inst Biomed Engn & Technol Jiangsu Key Lab Med Opt Suzhou 215163 Jiangsu Peoples R China

Deep learning has been used to reconstruct super-resolution structured illumination microscopy (SR-SIM) images with wide-field or fewer raw images, effectively reducing pho-tobleaching and phototoxicity. However, the dependability of new structures or sample observation is still questioned using these methods. Here, we propose a dynamic SIM imaging strategy: the full raw images are recorded at the beginning to reconstruct the SR image as a keyframe, then only wide-field images are recorded. A deep-learning-based reconstruction algorithm, named KFA-RET, is developed to reconstruct the rest of the SR images for the whole dynamic process. With the structure at the keyframe as a refer-ence and the temporal continuity of biological structures, KFA-RET greatly enhances the quality of reconstructed SR images while reducing photobleaching and phototoxicity. Moreover, KFA-RET has a strong transfer capability for observing new structures that were not included during net-work training. (c) 2023 Optica Publishing Group

关键词： Image processing Image quality Live cell imaging reconstruction algorithms Spatial light modulators Temporal resolution

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Three New Discriminators for Dominant Scattering Mechanism in Compact Polarimetric SAR Scattering Model

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IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 2023年 20卷 1页

作者： Zhang, Linlin Gao, Gui Liu, Jia Southwest Jiaotong Univ Fac Geosci & Environm Engn Chengdu 611756 Peoples R China Aerosp Dongfanghong Satellite Ltd Beijing 100094 Peoples R China

This letter proposes three new discriminators for dominant scattering mechanism (surface scattering or dihedral scattering) for the decomposition process of the compact polarimetric (CP) synthetic aperture radar (SAR) scattering model. Based on the covariance matrix of CP SAR under symme-try reflection assumption, a Re(SHHSVV*) reconstruction method based on the estimation of cross-polarization term is proposed, and three new discriminators, DISCREntropy, DISCREigen, and DISCRDoP, are obtained accordingly. Comparative experiments using real circular transmit linear receive (CTLR) CP SAR data for the three proposed discriminators as well as the com-monly used discriminator g3 demonstrate that the comprehensive decomposition results using the proposed three discriminators are better than the result using g3, and DISCRDoP is better than DISCREigen, DISCREigen is better than DISCREntropy.

关键词： Scattering Synthetic aperture radar Data models Covariance matrices Estimation Reflection reconstruction algorithms Compact polarimetry (CP) synthetic aperture radar (SAR) target decomposition

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OpenSpyrit: an ecosystem for open single-pixel hyperspectral imaging

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OPTICS EXPRESS 2023年第10期31卷 15599-15614页

作者： Martins, Guilherme Beneti Mahieu-Williame, Laurent Baudier, Thomas Ducros, Nicolas Univ Claude Bernard Lyon 1 Univ Lyon INSA Lyon UJM St EtienneCNRSInsermCREATISUMR 5220U1294 F-69621 Lyon France Inst Univ France IUF Paris France

This paper describes OpenSpyrit, an open access and open source ecosystem for reproducible research in hyperspectral single-pixel imaging, composed of SPAS (a Python single-pixel acquisition software), SPYRIT (a Python single-pixel reconstruction toolkit) and SPIHIM (a single-pixel hyperspectral image collection). The proposed OpenSpyrit ecosystem responds to the need for reproducibility and benchmarking in single-pixel imaging by providing open data and open software. The SPIHIM collection, which is the first open-access FAIR dataset for hyperspectral single-pixel imaging, currently includes 140 raw measurements acquired using SPAS and the corresponding hypercubes reconstructed using SPYRIT. The hypercubes are reconstructed by both inverse Hadamard transformation of the raw data and using the denoised completion network (DC-Net), a data-driven reconstruction algorithm. The hypercubes obtained by inverse Hadamard transformation have a native size of 64 x 64 x 2048 for a spectral resolution of 2.3 nm and a spatial resolution that is comprised between 182.4 mu m and 15.2 mu m depending on the digital zoom. The hypercubes obtained using the DC-Net are reconstructed at an increased resolution of 128 x 128 x 2048. The OpenSpyrit ecosystem should constitute a reference to support benchmarking for future developments in single-pixel imaging. (c) 2023 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement

关键词： Digital micromirror devices Hyperspectral imaging Medical imaging reconstruction algorithms Spatial resolution Spectral imaging

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Impact of resampling interpolation FIR filter in the practical Kramers-Kronig receiver

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OPTICS EXPRESS 2023年第8期31卷 13455-13471页

作者： Liu, Yuyang Zhang, Anxu Feng, Lipeng Lv, Kai Liu, Hao Su, Guangnan Sheng, Xia Gong, Yadong Huo, Xiaoli Li, Junjie Zhang, Chengliang Li, Yan Wu, Jian China Telecom Res Inst Beijing 102209 Peoples R China Beijing Univ Posts & Telecommun State Key Lab Informat Photon & Opt Commun Beijing 100876 Peoples R China

The practical Kramers-Kronig (KK) receiver has been a competitive receiving tech-nique in the data-center, medium reach, and even long-haul metropolitan networks. Nevertheless, an extra digital resampling operation is required at both ends of the KK field reconstruction algorithm due to the spectrum broadening caused by adopting the nonlinear function. Generally, the digital resampling function can be implemented by using linear interpolation (LI-ITP), the Lagrange cubic interpolation (LC-ITP), the spline cubic interpolation (SC-ITP), time-domain anti-aliasing finite impulse response (FIR) filter method (TD-FRM) scheme, and fast Fourier transform (FFT)-based scheme. However, the performance and the computational complexity analysis of different resampling interpolation schemes in the KK receiver have not been thoroughly investigated yet. Different from the interpolation schemes of conventional coherent detection, the interpolation function of the KK system is followed by the nonlinear operation, which will broaden the spectrum significantly. Due to the frequency-domain transfer function of different interpolation schemes, the broadened spectrum will have a potential spectrum aliasing, which will cause serious inter-symbol interference (ISI) and further impair the KK phase retrieval performance. We experimentally investigate the performance of different interpolation schemes under different digital up-sampling rates (i.e. the computational complexity) as well as the cut-off frequency, the tap number of the anti-aliasing filter, and the shape factor of the TD-FRM scheme in a 112-Gbit/s SSB DD 16-QAM system over 1920-km Raman amplification (RFA)-based standard single-mode fiber (SSMF). The experimental results involve that the TD-FRM scheme outperforms other interpolation schemes and the complexity is reduced by at least 49.6%. In fiber transmission results, take 20% soft decision-forward error correction (SD-FEC) of 2x10-2 as the threshold, the LI-ITP and LC-ITP schem

关键词： Coherent receivers Fast Fourier transforms Heterodyne detection Phase estimation Phase retrieval reconstruction algorithms

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Coded aperture temporal compressive digital holographic microscopy

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OPTICS LETTERS 2023年第20期48卷 5427-5430页

作者： Dou, Yufei Cao, Miao Wang, Xiaodong Liu, Xing Yuan, Xin Westlake Univ Res Ctr Ind Future Hangzhou 310030 Peoples R China Westlake Univ Sch Engn Hangzhou 310030 Peoples R China Zhejiang Univ Hangzhou 310058 Zhejiang Peoples R China

We report a coded aperture temporal compressive digital holographic microscopy (CATCHY) system to capture high-speed high-resolution samples by integrating snap-shot compressive imaging (SCI) into digital holographic microscopy. Specifically, a two-dimensional (2D) detector samples a 4D (x, y, z, t) spatiotemporal data in a compressive manner, and after this, an efficient deep learning-based video SCI reconstruction algorithm is employed to reconstruct the desired 4D data cube. Up to ten high-resolution microscopic images are reconstructed from a snapshot measurement captured by our CATCHY system. Experimental results demonstrate the potential to visualize the 3D dynamic process of micro-nanostructures and imaging biological samples with high spatial and temporal resolution.(c) 2023 Optica Publishing Group

关键词： Compressive holography Compressive imaging Digital micromirror devices Holographic microscopy reconstruction algorithms Spatial resolution

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End-to-end learned single lens design using improved Wiener deconvolution

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OPTICS LETTERS 2023年第3期48卷 522-525页

作者： Zhang, Rongshuai Tan, Fanjiao Hou, Qingyu Li, Zongling Sun, Zaiwu Yang, Changjian Gao, Xiangyang Harbin Inst Technol Res Ctr Space Opt Engn Harbin 150001 Heilongjiang Peoples R China

End-to-end single-lens imaging system design is a method to optimize both optical system and reconstruction algorithm. Most end-to-end single lens systems use convolutional neural networks (CNN) for image restoration, which fit the transformation relationship between the aberrated image and the ground truth image in the training set. Based on the principle of optical imaging, we realize non-blind image restoration through Wiener deconvolution. Wiener deconvolution is improved with the powerful fitting ability of depth learning so that the noise parameters and the blur kernel in Wiener deconvolution can be simultaneously optimized with the optical parameters in the lens. Extensive comparative tests have been conducted to demonstrate the single-lens imaging system obtained by our method has more stable imaging quality and a 40 times greater imaging speed than the method using CNN restoration algorithm. (c) 2023 Optica Publishing Group

关键词： Image processing Image quality Image restoration Imaging systems Optical imaging reconstruction algorithms

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High-accuracy wide-range refractive index demodulation based on under-sampled fiber F-P cavity length spectrum

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OPTICS LETTERS 2023年第15期48卷 4129-4132页

作者： Gao, Ao Ye, Jingfu Tu, Chenxi Liu, Yi Qu, Shiliang Guilin Univ Elect Technol Sch Optoelect Engn Guilin 541004 Peoples R China Harbin Inst Technol Sch Phys Harbin 150001 Peoples R China

A scheme of fiber Fabry-Perot (F-P) cavity refractive index (RI) demodulation named under-sampled length spectrum retrieval (ULSR) is proposed. Unlike the wavelength spec-trum method, ULSR can be used for physical quantity detec-tion with just a monochromatic laser and photodetectors, avoiding the need for wideband lasers or expensive infrared spectrometers. Eight F-P cavities of different lengths were fabricated to sample the cavity length spectrum, and then the obtained under-sampled length spectrum was used to demodulate the RI of F-P cavity fillings. It was demonstrated that the ULSR system can achieve an index measurement accuracy of 1 x 10-4 in the glucose solution index range of 1.3294-1.3746 at wavelength & lambda;= 1.55 & mu;m. An index demod-ulation with higher accuracy and wider range is expected when more than 8 F-P cavities are used. The proposed scheme, with advantages of low system complexity, low cost, high reliability, high detecting accuracy, and wide detecting range, holds great promise for facilitating the wide appli-cation of F-P cavity sensors. Additionally, ULSR liberates wavelength freedom, making it a strong candidate for mul-tiplexed sensing based on wavelength division multiplexing. & COPY;2023 Optica Publishing Group

关键词： Infrared lasers Light intensity reconstruction algorithms Refractive index Supercontinuum lasers Wavelength division multiplexing

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Full-resolution and full-dynamic-range coded aperture compressive temporal imaging

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OPTICS LETTERS 2023年第18期48卷 4813-4816页

作者： Wang, Ping Wang, Lishun Qiao, Mu Yuan, Xin Zhejiang Univ Hangzhou 310027 Zhejiang Peoples R China Westlake Univ Sch Engn Hangzhou 310030 Zhejiang Peoples R China Ningbo Univ Sch Phys Sci & Technol Ningbo 315211 Zhejiang Peoples R China

Coded aperture compressive temporal imaging (CACTI) aims to capture a sequence of video frames in a single shot, using an off-the-shelf 2D sensor. This approach effectively increases the frame rate of the sensor while reducing data throughput requirements. However, previous CACTI sys-tems have encountered challenges such as limited spatial resolution and a narrow dynamic range, primarily resulting from suboptimal optical modulation and sampling schemes. In this Letter, we present a highly efficient CACTI system that addresses these challenges by employing precise one-to-one pixel mapping between the sensor and modulator, while using structural gray scale masks instead of binary masks. Moreover, we develop a hybrid convolutional-Transformer deep network for accurate reconstruction of the captured frames. Both simulated and real data experiments demon-strate the superiority of our proposed system over previous approaches, exhibiting significant improvements in terms of spatial resolution and dynamic range.(c) 2023 Optica Pub-lishing Group

关键词： Attenuation coefficient Compressive imaging Digital micromirror devices Modulators reconstruction algorithms Spatial resolution

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