The Experts below are selected from a list of 9306 Experts worldwide ranked by ideXlab platform

Shanhui Fan - One of the best experts on this subject based on the ideXlab platform.

  • Compact incoherent image Differentiation with nanophotonic structures
    Metamaterials Metadevices and Metasystems 2020, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform computations in the optical domain. Specifically in optical image processing, there have been a number of demonstrations using nanophotonic structures to perform edge detection and spatial filtering Operations on images without the bulky 4f systems. These structures have the advantage of being compact, fast and low power. However, all previous works using nanophotonic structures, can only operate with coherent light. Here we introduce a hybrid optoelectronic approach that enables one to use nanophotonic structures to perform Differentiation Operation with spatially incoherent light. As a demonstration we consider a photonic crystal slab structure, and show that Differentiation Operation with incoherent light can be achieved by subtracting the two output images at two different frequencies, after passing through the designed structure. Both second order and first order Differentiation are demonstrated with corresponding structure design. Our method is robust to noise compared to exact Differentiation computation, and directly integrable into existing image sensors. This approach points to a new avenue for improving image sensors using nanophotonic structures, and has potential applications in real scene image processing and object recognition.

  • Compact incoherent image Differentiation with nanophotonic structures
    ACS Photonics, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform Differentiation Operation on images for edge detection purposes. All previous works using nanophotonic structures,...

Haiwen Wang - One of the best experts on this subject based on the ideXlab platform.

  • Compact incoherent image Differentiation with nanophotonic structures
    Metamaterials Metadevices and Metasystems 2020, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform computations in the optical domain. Specifically in optical image processing, there have been a number of demonstrations using nanophotonic structures to perform edge detection and spatial filtering Operations on images without the bulky 4f systems. These structures have the advantage of being compact, fast and low power. However, all previous works using nanophotonic structures, can only operate with coherent light. Here we introduce a hybrid optoelectronic approach that enables one to use nanophotonic structures to perform Differentiation Operation with spatially incoherent light. As a demonstration we consider a photonic crystal slab structure, and show that Differentiation Operation with incoherent light can be achieved by subtracting the two output images at two different frequencies, after passing through the designed structure. Both second order and first order Differentiation are demonstrated with corresponding structure design. Our method is robust to noise compared to exact Differentiation computation, and directly integrable into existing image sensors. This approach points to a new avenue for improving image sensors using nanophotonic structures, and has potential applications in real scene image processing and object recognition.

  • Compact incoherent image Differentiation with nanophotonic structures
    ACS Photonics, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform Differentiation Operation on images for edge detection purposes. All previous works using nanophotonic structures,...

Cheng Guo - One of the best experts on this subject based on the ideXlab platform.

  • Compact incoherent image Differentiation with nanophotonic structures
    Metamaterials Metadevices and Metasystems 2020, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform computations in the optical domain. Specifically in optical image processing, there have been a number of demonstrations using nanophotonic structures to perform edge detection and spatial filtering Operations on images without the bulky 4f systems. These structures have the advantage of being compact, fast and low power. However, all previous works using nanophotonic structures, can only operate with coherent light. Here we introduce a hybrid optoelectronic approach that enables one to use nanophotonic structures to perform Differentiation Operation with spatially incoherent light. As a demonstration we consider a photonic crystal slab structure, and show that Differentiation Operation with incoherent light can be achieved by subtracting the two output images at two different frequencies, after passing through the designed structure. Both second order and first order Differentiation are demonstrated with corresponding structure design. Our method is robust to noise compared to exact Differentiation computation, and directly integrable into existing image sensors. This approach points to a new avenue for improving image sensors using nanophotonic structures, and has potential applications in real scene image processing and object recognition.

  • Compact incoherent image Differentiation with nanophotonic structures
    ACS Photonics, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform Differentiation Operation on images for edge detection purposes. All previous works using nanophotonic structures,...

Zhexin Zhao - One of the best experts on this subject based on the ideXlab platform.

  • Compact incoherent image Differentiation with nanophotonic structures
    Metamaterials Metadevices and Metasystems 2020, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform computations in the optical domain. Specifically in optical image processing, there have been a number of demonstrations using nanophotonic structures to perform edge detection and spatial filtering Operations on images without the bulky 4f systems. These structures have the advantage of being compact, fast and low power. However, all previous works using nanophotonic structures, can only operate with coherent light. Here we introduce a hybrid optoelectronic approach that enables one to use nanophotonic structures to perform Differentiation Operation with spatially incoherent light. As a demonstration we consider a photonic crystal slab structure, and show that Differentiation Operation with incoherent light can be achieved by subtracting the two output images at two different frequencies, after passing through the designed structure. Both second order and first order Differentiation are demonstrated with corresponding structure design. Our method is robust to noise compared to exact Differentiation computation, and directly integrable into existing image sensors. This approach points to a new avenue for improving image sensors using nanophotonic structures, and has potential applications in real scene image processing and object recognition.

  • Compact incoherent image Differentiation with nanophotonic structures
    ACS Photonics, 2020
    Co-Authors: Haiwen Wang, Cheng Guo, Zhexin Zhao, Shanhui Fan
    Abstract:

    There are significant recent interests in using nanophotonic structures to perform Differentiation Operation on images for edge detection purposes. All previous works using nanophotonic structures,...

Yang Jing-shu - One of the best experts on this subject based on the ideXlab platform.

  • A method of instantaneous frequency estimation based on fractional Fourier tansformation
    Journal of Anhui University, 2005
    Co-Authors: Yang Jing-shu
    Abstract:

    The relationship between the fractional Fourier power spectrum and signal's phase Differentiation Operation are considered.A novel method for solving the instantaneous frequency estimation problem from only intensity distributions and the fractional Fourier spectrum is proposed.The efficiency of the method is demonstrated on two examples including signals with and without noise.It is shown that the proposed method works well for signal-to-noise ratios (SNRs) higher than about 3 dB.The proposed method is noniterative and doesn't need projection or peak-searching,thus it takes low computiong cost.

  • A Method of Instantaneous Frequency Estimation Based on Fractional Fourier Tansform
    Electronic Warfare Technology, 2005
    Co-Authors: Yang Jing-shu
    Abstract:

    According to the relationship between the fractional Fourier power spectrum and signal's phase Differentiation Operation, a novel method for solving the instantaneous frequency estimation problem from only intensity distributions and the fractional Fourier spectrum is proposed. The efficiency of the method is demonstrated on two examples including signals with and without noise. It is shown that the proposed method works well for signal-to-noise ratios (SNRs) higher than about 3dB. The proposed method is noniterative and doesn't need projection or peak-searching, thus it takes low computing cost.