Optics letters最新文献_第7页

Fourier single-pixel spectral imaging via local low-rank tensor nuclear norm and deep tensor priors.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.549558

Zixin Tang, Yexun Hu, Chen Duo, Guowei Yang, Taixiang Jiang, Daqing Guo

{"title":"Fourier single-pixel spectral imaging via local low-rank tensor nuclear norm and deep tensor priors.","authors":"Zixin Tang, Yexun Hu, Chen Duo, Guowei Yang, Taixiang Jiang, Daqing Guo","doi":"10.1364/OL.549558","DOIUrl":"https://doi.org/10.1364/OL.549558","url":null,"abstract":"The imaging quality of single-pixel spectral imaging (SSI) methods is poor at a low sampling ratio (SR). To tackle this problem, a new Fourier single-pixel spectral imaging (FSSI) technique is proposed. Firstly, we introduce the low-rank tensor nuclear norm (TNN) to characterize the correlation between spectral images. Compared with the conventional method, TNN reconstructs image details better but brings image artifacts simultaneously. Therefore, local low-rank TNN (LTNN) constraint is proposed to ameliorate global ones and to reduce the distortion caused by TNN and low SR. Secondly, to make full use of the spectral information, the proposed constraint is used as the coarse prior, and the deep tensor prior (DTP) is introduced as the fine one to construct the joint priors. Different from the single prior, the joint method can make the two priors benefit and improve each other and further enhance the imaging quality. Finally, an efficient and high-quality SSI technique is achieved by deducing the closed-form solution algorithm. Experimental results show that our method significantly improves the quality of FSSI as much as 7-10 dB when compared to 3DTV at the SR of 5%.","PeriodicalId":19540,"journal":{"name":"Optics letters","volume":"50 4","pages":"1281-1284"},"PeriodicalIF":3.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Unsupervised cross talk suppression for self-interference digital holography.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.544342

Tao Huang, Le Yang, Weina Zhang, Jiazhen Dou, Jianglei Di, Jiachen Wu, Joseph Rosen, Liyun Zhong

{"title":"Unsupervised cross talk suppression for self-interference digital holography.","authors":"Tao Huang, Le Yang, Weina Zhang, Jiazhen Dou, Jianglei Di, Jiachen Wu, Joseph Rosen, Liyun Zhong","doi":"10.1364/OL.544342","DOIUrl":"https://doi.org/10.1364/OL.544342","url":null,"abstract":"Self-interference digital holography extends the application of digital holography to non-coherent imaging fields such as fluorescence and scattered light, providing a new solution, to the best of our knowledge, for wide field 3D imaging of low coherence or partially coherent signals. However, cross talk information has always been an important factor limiting the resolution of this imaging method. The suppression of cross talk information is a complex nonlinear problem, and deep learning can easily obtain its corresponding nonlinear model through data-driven methods. However, in real experiments, it is difficult to obtain such paired datasets to complete training. Here, we propose an unsupervised cross talk suppression method based on a cycle-consistent generative adversarial network (CycleGAN) for self-interference digital holography. Through the introduction of a saliency constraint, the unsupervised model, named crosstalk suppressing with unsupervised neural network (CS-UNN), can learn the mapping between two image domains without requiring paired training data while avoiding distortions of the image content. Experimental analysis has shown that this method can suppress cross talk information in reconstructed images without the need for training strategies on a large number of paired datasets, providing an effective solution for the application of the self-interference digital holography technology.","PeriodicalId":19540,"journal":{"name":"Optics letters","volume":"50 4","pages":"1261-1264"},"PeriodicalIF":3.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-dimensional reconstruction of smoke aerosols based on simultaneous multi-view imaging and tomographic absorption spectroscopy.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.554678

Wenyu Han, Fuhao Zhang, Wensong Liu, Shunyao Huang, Can Gao, Zhiyin Ma, Fengnian Zhao, David L S Hung, Xuesong Li, Min Xu

{"title":"Three-dimensional reconstruction of smoke aerosols based on simultaneous multi-view imaging and tomographic absorption spectroscopy.","authors":"Wenyu Han, Fuhao Zhang, Wensong Liu, Shunyao Huang, Can Gao, Zhiyin Ma, Fengnian Zhao, David L S Hung, Xuesong Li, Min Xu","doi":"10.1364/OL.554678","DOIUrl":"https://doi.org/10.1364/OL.554678","url":null,"abstract":"Smoke aerosols are mixtures of fine particles suspended in the atmosphere. Based on the absorption or scattering of light by these particles, researchers have conducted extensive optical diagnostics studies of smoke aerosol morphology and behavior. However, conventional optical methodologies are restricted to two-dimensional (2D) or single-point measurements. To overcome this constraint, this study introduces a novel three-dimensional (3D) diagnostic technique based on tomographic absorption spectroscopy (TAS) reconstruction. A 10-camera backlight imaging system is developed to simultaneously capture multi-view 2D images. Subsequently, smoke aerosols are reconstructed using multiplicative algebraic reconstruction techniques (MART). The morphology and relative concentration distribution are visualized through volume rendering and slice observation techniques, respectively. Overall, the proposed reconstruction approach has demonstrated its efficacy in elucidating the intricate 3D morphology and internal structure of smoke aerosols, showcasing its significant potential for advanced visualization.","PeriodicalId":19540,"journal":{"name":"Optics letters","volume":"50 4","pages":"1385-1388"},"PeriodicalIF":3.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Efficient parameter estimation of the lognormal-Rician turbulence model based on the k-nearest neighbor and data generation method.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.541372

Maoke Miao, Xinyu Zhang, Bo Liu, Rui Yin, Jiantao Yuan, Feng Gao, Xiao-Yu Chen

{"title":"Efficient parameter estimation of the lognormal-Rician turbulence model based on the k-nearest neighbor and data generation method.","authors":"Maoke Miao, Xinyu Zhang, Bo Liu, Rui Yin, Jiantao Yuan, Feng Gao, Xiao-Yu Chen","doi":"10.1364/OL.541372","DOIUrl":"https://doi.org/10.1364/OL.541372","url":null,"abstract":"In this paper, we propose a novel, to the best of our knowledge, and efficient parameter estimator based on the k-nearest neighbor (kNN) and data generation method for the lognormal-Rician turbulence channel, which is of vital importance to the free-space optical/quantum communications. The Kolmogorov-Smirnov (KS) goodness-of-fit statistical tools are employed to investigate the validity of the kNN approximation under different channel conditions, and it is shown that the choice of k plays a significant role in the approximation accuracy. We present several numerical results to illustrate that solving the constructed objective function can provide a reasonable estimate of the actual values. The mean square error simulation results show that increasing the number of generated samples by two orders of magnitude does not lead to a significant improvement in estimation performance when solving the optimization problem by the gradient descent algorithm. However, the estimation performance under the genetic algorithm (GA) approximates to that of the saddlepoint approximation and expectation-maximization (EM) estimators. Therefore, combined with the GA, we demonstrate that the proposed estimator achieves the best trade-off between the computation complexity and the accuracy.","PeriodicalId":19540,"journal":{"name":"Optics letters","volume":"50 4","pages":"1393-1396"},"PeriodicalIF":3.1,"publicationDate":"2025-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143416752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy disturbance-induced collision between soliton molecules and switch dynamics in fiber lasers: periodic collision, oscillation, and annihilation.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.549637

Zhentao Ju, Zhizeng Si, Longfei Ren, Haoyu Feng, Xin Yan, Jiahao Zhang, Wei Liu, Chaoqing Dai

引用次数: 0

High-energy transient gas pinholes via saturated absorption.

IF 3.1 2区物理与天体物理

Optics letters Pub Date : 2025-02-15 DOI: 10.1364/OL.547141

K Ou, V M Perez-Ramirez, S Cao, C Redshaw, J Lee, M M Wang, J M Mikhailova, P Michel, M R Edwards

引用次数: 0

Ultralow-noise sub-two-cycle pulses at 1600 nm from a compact fiber-feedback optical parametric oscillator system at 76 MHz.