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1 Issue (s), 4 Article (s)
Vol. 23, Iss.8—Aug.1, 2025 • pp: 080101- Spec. pp:
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Research ArticlesVol. 23, Iss.8-Aug..1,2025
Atmospheric, Oceanic, Space, and Environmental Optics
Remote sensing image restoration via atmospheric impact time-varying degraded physical models using neural networksXinyi Qin, Hui Li, Yan Lou, Yongli Hu... and Wenxuan Lü|Show fewer author(s)
The degradation of image quality in space-based remote sensing is a critical challenge due to atmospheric disturbances. In this paper, we propose a new model to simulate image blur effects caused by turbulence and aerosol scattering. It also analyzes a distortion vector field to simulate the distortion effects from atmospheric turbulence. Using this time-varying physical model, we present a generative adversarial network called MSFFA-GAN. It uses a multi-scale feature fusion and attention mechanism to analyze and apply optimal constraints on deep neural networks for atmospheric impact parameters. This helps our network handle complex atmospheric conditions that cause image degradation. Experimental results show that MSFFA-GAN improves the peak signal-to-noise ratio (PSNR) by 5.05 dB and the structural similarity index (SSIM) by 4.43%. It effectively restores degraded images and enhances the image quality of remote sensing systems.The degradation of image quality in space-based remote sensing is a critical challenge due to atmospheric disturbances. In this paper, we propose a new model to simulate image blur effects caused by turbulence and aerosol scattering. It also analyzes a distortion vector field to simulate the distortion effects from atmospheric turbulence. Using this time-varying physical model, we present a generative adversarial network called MSFFA-GAN. It uses a multi-scale feature fusion and attention mechanism to analyze and apply optimal constraints on deep neural networks for atmospheric impact parameters. This helps our network handle complex atmospheric conditions that cause image degradation. Experimental results show that MSFFA-GAN improves the peak signal-to-noise ratio (PSNR) by 5.05 dB and the structural similarity index (SSIM) by 4.43%. It effectively restores degraded images and enhances the image quality of remote sensing systems.
Chinese Optics Letters
- Publication Date: Jul. 03, 2025
- Vol. 23, Issue 8, 080101 (2025)
Imaging Systems and Image Processing
Photon-level single-pixel imaging of dynamic features in frequency domainShuxiao Wu, Jianyong Hu, Yaole Cao, Yuxing Jiang... and Suotang Jia|Show fewer author(s)
Photon-level single-pixel imaging overcomes the reliance of traditional imaging techniques on large-scale array detectors, offering the advantages such as high sensitivity, high resolution, and efficient photon utilization. In this paper, we propose a photon-level dynamic feature single-pixel imaging method, leveraging the frequency domain sparsity of the object’s dynamic features to construct a compressed measurement system through discrete random photon detection. In the experiments, we successfully captured 167 and 200 Hz featured frequencies and achieved high-quality image reconstruction with a data compression ratio of 20%. Our approach introduces a new detection dimension, significantly expanding the applications of photon-level single-pixel imaging in practical scenarios.Photon-level single-pixel imaging overcomes the reliance of traditional imaging techniques on large-scale array detectors, offering the advantages such as high sensitivity, high resolution, and efficient photon utilization. In this paper, we propose a photon-level dynamic feature single-pixel imaging method, leveraging the frequency domain sparsity of the object’s dynamic features to construct a compressed measurement system through discrete random photon detection. In the experiments, we successfully captured 167 and 200 Hz featured frequencies and achieved high-quality image reconstruction with a data compression ratio of 20%. Our approach introduces a new detection dimension, significantly expanding the applications of photon-level single-pixel imaging in practical scenarios.
Chinese Optics Letters
- Publication Date: Jul. 03, 2025
- Vol. 23, Issue 8, 081101 (2025)
Instrumentation, Measurement, and Optical Sensing
Superresolution measurement of thermo-optic coefficient of KTP crystals based on phase amplificationWuzhen Li, Zhiyuan Zhou, Guangcan Guo, and Baosen Shi
In this work, we achieve a fourfold enhancement in thermo-optic coefficient measurement resolution for KTiOPO4 crystal using a self-stabilized birefringence interferometer integrated with cascaded second-harmonic generation. We observe the tunable interference beating phenomenon by rotating a birefringent crystal versus the temperature of the crystal. Furthermore, the fourth-harmonic interference fringes beat 4 times faster than the fundamental wave interference fringes. This beating effect is used to determine the thermo-optic coefficients of the two principal refractive axes with a single measurement. This work provides a feasible, real-time, and robust method for superresolution measurements based on birefringence interferometry.In this work, we achieve a fourfold enhancement in thermo-optic coefficient measurement resolution for KTiOPO4 crystal using a self-stabilized birefringence interferometer integrated with cascaded second-harmonic generation. We observe the tunable interference beating phenomenon by rotating a birefringent crystal versus the temperature of the crystal. Furthermore, the fourth-harmonic interference fringes beat 4 times faster than the fundamental wave interference fringes. This beating effect is used to determine the thermo-optic coefficients of the two principal refractive axes with a single measurement. This work provides a feasible, real-time, and robust method for superresolution measurements based on birefringence interferometry.
Chinese Optics Letters
- Publication Date: Jun. 23, 2025
- Vol. 23, Issue 8, 081201 (2025)
Optical Materials
Blue LED-excitable ultra broadband near-infrared luminescence based on KCdF3:Cr3Long Chen, Junhuan Lai, Yong Xu, Yinsheng Xu, and Xueyun Liu
The growing demand for broadband near-infrared (NIR) irradiation in security, biomedicine, and food science is driving the development of new NIR light sources. Herein, a series of Cr3+/Ni2+ co-doped transparent glass ceramics containing octahedrally coordinated KCdF3 nanocrystals have been successfully prepared. Under 450 nm blue light excitation, the combination of Cr3+ and Ni2+ results in an ultra-broadband NIR emission band ranging from 700 to 1800 nm. Based on the excitation and emission spectra and the decay lifetime curves, the energy transfer (ET) efficiency from Cr3+ to Ni2+ is confirmed to be 50.2%. A glass ceramic-converted NIR-LED was fabricated by integrating a commercial blue LED chip with a representative Cr3+/Ni2+ co-doped glass ceramic and has demonstrated potential applications in the areas of covert information recognition and night vision illumination. Our investigation provides new insights into the development of ultra-broadband NIR light sources that are both cost-effective and efficient.The growing demand for broadband near-infrared (NIR) irradiation in security, biomedicine, and food science is driving the development of new NIR light sources. Herein, a series of Cr3+/Ni2+ co-doped transparent glass ceramics containing octahedrally coordinated KCdF3 nanocrystals have been successfully prepared. Under 450 nm blue light excitation, the combination of Cr3+ and Ni2+ results in an ultra-broadband NIR emission band ranging from 700 to 1800 nm. Based on the excitation and emission spectra and the decay lifetime curves, the energy transfer (ET) efficiency from Cr3+ to Ni2+ is confirmed to be 50.2%. A glass ceramic-converted NIR-LED was fabricated by integrating a commercial blue LED chip with a representative Cr3+/Ni2+ co-doped glass ceramic and has demonstrated potential applications in the areas of covert information recognition and night vision illumination. Our investigation provides new insights into the development of ultra-broadband NIR light sources that are both cost-effective and efficient.
Chinese Optics Letters
- Publication Date: Jul. 03, 2025
- Vol. 23, Issue 8, 081601 (2025)
Structured light: fundamentals and applications (2025)
Call for Papers
Editor (s): Yuanjie Yang, Yangjian Cai, Qiwen Zhan
Special Issue on the 20th Anniversary of Wuhan National Laboratory for Optoelectronics (WNLO) (2023)
Published
Editor (s): Jian Wang
Vol. 23, Issue 5, 053602 (2025)
Automatic phase-matching technique for cascaded electro-optic frequency combsEditors' Pick
Vol. 23, Issue 1, 013901 (2025)
Computational ghost holography with Laguerre-Gaussian modesOn the Cover
Vol. 23, Issue 1, 011101 (2025)
Vol. 22, Issue 7, 073001 (2024)
Vol. 22, Issue 9, 090001 (2024)
Nanotip design for high-resolution terahertz scattering-type scanning near-field optical microscopy
Vol. 22, Issue 9, 090002 (2024)
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