Due to the limitations of spatial bandwidth product and data transmission bandwidth,the field of view,resolution,and imaging speed constrain each other in an optical imaging system.Here,a fast-zoom and high-resolution...Due to the limitations of spatial bandwidth product and data transmission bandwidth,the field of view,resolution,and imaging speed constrain each other in an optical imaging system.Here,a fast-zoom and high-resolution sparse compound-eye camera(CEC)based on dual-end collaborative optimization is proposed,which provides a cost-effective way to break through the trade-off among the field of view,resolution,and imaging speed.In the optical end,a sparse CEC based on liquid lenses is designed,which can realize large-field-of-view imaging in real time,and fast zooming within 5 ms.In the computational end,a disturbed degradation model driven super-resolution network(DDMDSR-Net)is proposed to deal with complex image degradation issues in actual imaging situations,achieving high-robustness and high-fidelity resolution enhancement.Based on the proposed dual-end collaborative optimization framework,the angular resolution of the CEC can be enhanced from 71.6"to 26.0",which provides a solution to realize high-resolution imaging for array camera dispensing with high optical hardware complexity and data transmission bandwidth.Experiments verify the advantages of the CEC based on dual-end collaborative optimization in high-fidelity reconstruction of real scene images,kilometer-level long-distance detection,and dynamic imaging and precise recognition of targets of interest.展开更多
Liquid lens offers a novel approach to achieving large depth of field,wide viewing angle,high speed,and high-quality imaging in zoom optical systems.However,the aperture and reliability limit the lens’s performance i...Liquid lens offers a novel approach to achieving large depth of field,wide viewing angle,high speed,and high-quality imaging in zoom optical systems.However,the aperture and reliability limit the lens’s performance in various optical applications.The liquid material is crucial for the reliability of the large-aperture liquid lens.To solve the dielectric failure problem associated with the large aperture,we first reveal the mechanism of dielectric failure based on the transport properties of electrolyte solutions and the impact of electrochemical reaction rates from physical chemistry so as to propose a theoretical method to suppress dielectric failure fundamentally.Based on this theory,we develop a series of non-aqueous organic solutions to suppress high-voltage dielectric failure.Next,we identify the optimal formulation for comprehensive optical performance and fabricate a centimeter-level large-aperture electrowetting liquid lens.This lens features an optical power variation range of−11.98m^(−1) to 12.93m^(−1),with clear and high-quality imaging function,which can enlarge the field of view and depth adjustment range of holographic reconstructions while maintaining excellent edge clarity of the reconstructed images.The proposed centimeter-level large-aperture non-aqueous electrowetting liquid lens effectively suppresses dielectric failure under high voltage,demonstrates excellent optical performance,and holds exciting potential for applications in 3D display,precision measurement,biomedical observation,and more.展开更多
With the development of artificial intelligence,neural network provides unique opportunities for holography,such as high fidelity and dynamic calculation.How to obtain real 3D scene and generate high fidelity hologram...With the development of artificial intelligence,neural network provides unique opportunities for holography,such as high fidelity and dynamic calculation.How to obtain real 3D scene and generate high fidelity hologram in real time is an urgent problem.Here,we propose a liquid lens based holographic camera for real 3D scene hologram acquisition using an end-to-end physical model-driven network(EEPMD-Net).As the core component of the liquid camera,the first 10 mm large aperture electrowetting-based liquid lens is proposed by using specially fabricated solution.The design of the liquid camera ensures that the multi-layers of the real 3D scene can be obtained quickly and with great imaging performance.The EEPMD-Net takes the information of real 3D scene as the input,and uses two new structures of encoder and decoder networks to realize low-noise phase generation.By comparing the intensity information between the reconstructed image after depth fusion and the target scene,the composite loss function is constructed for phase optimization,and the high-fidelity training of hologram with true depth of the 3D scene is realized for the first time.The holographic camera achieves the high-fidelity and fast generation of the hologram of the real 3D scene,and the reconstructed experiment proves that the holographic image has the advantage of low noise.The proposed holographic camera is unique and can be used in 3D display,measurement,encryption and other fields.展开更多
基金financial supports from National Natural Science Foundation of China(Grant Nos.U23A20368 and 62175006)Academic Excellence Foundation of BUAA for PhD Students.
文摘Due to the limitations of spatial bandwidth product and data transmission bandwidth,the field of view,resolution,and imaging speed constrain each other in an optical imaging system.Here,a fast-zoom and high-resolution sparse compound-eye camera(CEC)based on dual-end collaborative optimization is proposed,which provides a cost-effective way to break through the trade-off among the field of view,resolution,and imaging speed.In the optical end,a sparse CEC based on liquid lenses is designed,which can realize large-field-of-view imaging in real time,and fast zooming within 5 ms.In the computational end,a disturbed degradation model driven super-resolution network(DDMDSR-Net)is proposed to deal with complex image degradation issues in actual imaging situations,achieving high-robustness and high-fidelity resolution enhancement.Based on the proposed dual-end collaborative optimization framework,the angular resolution of the CEC can be enhanced from 71.6"to 26.0",which provides a solution to realize high-resolution imaging for array camera dispensing with high optical hardware complexity and data transmission bandwidth.Experiments verify the advantages of the CEC based on dual-end collaborative optimization in high-fidelity reconstruction of real scene images,kilometer-level long-distance detection,and dynamic imaging and precise recognition of targets of interest.
基金supported by the National Natural Science Foundation of China under Grant No.U23A20368,62175006,and 62275009.
文摘Liquid lens offers a novel approach to achieving large depth of field,wide viewing angle,high speed,and high-quality imaging in zoom optical systems.However,the aperture and reliability limit the lens’s performance in various optical applications.The liquid material is crucial for the reliability of the large-aperture liquid lens.To solve the dielectric failure problem associated with the large aperture,we first reveal the mechanism of dielectric failure based on the transport properties of electrolyte solutions and the impact of electrochemical reaction rates from physical chemistry so as to propose a theoretical method to suppress dielectric failure fundamentally.Based on this theory,we develop a series of non-aqueous organic solutions to suppress high-voltage dielectric failure.Next,we identify the optimal formulation for comprehensive optical performance and fabricate a centimeter-level large-aperture electrowetting liquid lens.This lens features an optical power variation range of−11.98m^(−1) to 12.93m^(−1),with clear and high-quality imaging function,which can enlarge the field of view and depth adjustment range of holographic reconstructions while maintaining excellent edge clarity of the reconstructed images.The proposed centimeter-level large-aperture non-aqueous electrowetting liquid lens effectively suppresses dielectric failure under high voltage,demonstrates excellent optical performance,and holds exciting potential for applications in 3D display,precision measurement,biomedical observation,and more.
基金supported by the National Key Research and Development Program of China(2021YFB2802100)the National Natural Science Foundation of China(62020106010,62275009,U22A2079,and U21B2034).
文摘With the development of artificial intelligence,neural network provides unique opportunities for holography,such as high fidelity and dynamic calculation.How to obtain real 3D scene and generate high fidelity hologram in real time is an urgent problem.Here,we propose a liquid lens based holographic camera for real 3D scene hologram acquisition using an end-to-end physical model-driven network(EEPMD-Net).As the core component of the liquid camera,the first 10 mm large aperture electrowetting-based liquid lens is proposed by using specially fabricated solution.The design of the liquid camera ensures that the multi-layers of the real 3D scene can be obtained quickly and with great imaging performance.The EEPMD-Net takes the information of real 3D scene as the input,and uses two new structures of encoder and decoder networks to realize low-noise phase generation.By comparing the intensity information between the reconstructed image after depth fusion and the target scene,the composite loss function is constructed for phase optimization,and the high-fidelity training of hologram with true depth of the 3D scene is realized for the first time.The holographic camera achieves the high-fidelity and fast generation of the hologram of the real 3D scene,and the reconstructed experiment proves that the holographic image has the advantage of low noise.The proposed holographic camera is unique and can be used in 3D display,measurement,encryption and other fields.
