The Experts below are selected from a list of 5229 Experts worldwide ranked by ideXlab platform
Cristina Masoller - One of the best experts on this subject based on the ideXlab platform.
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experimental study of Speckle Patterns generated by low coherence semiconductor laser light
arXiv: Optics, 2020Co-Authors: Donatus Halpaap, M Marconi, Romain Hernandez, A M Yacomotti, Jordi Tianaalsina, Cristina MasollerAbstract:Speckle is a wave interference phenomenon that has been studied in various fields, including optics, hydrodynamics and acoustics. Speckle Patterns contain spectral information of the interfering waves, and of the scattering medium that generates the pattern. Here we study experimentally the Speckle Patterns generated by the light emitted by two types of semiconductor lasers: conventional laser diodes, where we induce low-coherence emission by optical feedback or by pump current modulation, and coupled nanolasers. In both cases we analyze the intensity statistics of the respective Speckle Patterns to inspect the degree of coherence of the light. We show that that Speckle analysis provides a non-spectral way to assess the coherence of semiconductor laser light.
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experimental study of Speckle Patterns generated by low coherence semiconductor laser light
Chaos, 2020Co-Authors: Donatus Halpaap, M Marconi, Romain Hernandez, A M Yacomotti, Jordi Tianaalsina, Cristina MasollerAbstract:Speckle is a wave interference phenomenon that has been studied in various fields, including optics, hydrodynamics, and acoustics. Speckle Patterns contain spectral information of the interfering waves and of the scattering medium that generates the pattern. Here, we study experimentally the Speckle Patterns generated by the light emitted by two types of semiconductor lasers: conventional laser diodes, where we induce low-coherence emission by optical feedback or by pump current modulation, and coupled nanolasers. In both cases, we analyze the intensity statistics of the respective Speckle Patterns to inspect the degree of coherence of the light. We show that the Speckle analysis provides a non-spectral way to assess the coherence of semiconductor laser light.
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remote recovery of audio signals from videos of optical Speckle Patterns a comparative study of signal recovery algorithms
Optics Express, 2020Co-Authors: Concetta Barcellona, Donatus Halpaap, Jordi Tianaalsina, Pablo Amil, Arturo Buscarino, Luigi Fortuna, Cristina MasollerAbstract:Optical remote sensors are nowadays ubiquitously used, thanks to unprecedented advances in the last decade in photonics, machine learning and signal processing tools. In this work we study experimentally the remote recovery of audio signals from the silent videos of the movement of optical Speckle Patterns. This technique can be used even when in between the source and the receiver there is a medium that does not allow for the propagation of sound waves. We use a diode laser to generate a Speckle pattern on the membrane of a loudspeaker and a low-cost CCD camera to record the video of the movement of the Speckle pattern when the loudspeaker plays an audio signal. We perform a comparative analysis of six signal recovery algorithms. In spite of having different complexity and computational requirements, we find that the algorithms have (except for the simplest one) good performance in terms of the quality of the recovered signal. The best trade-off, in terms of computational costs and performance, is obtained with a new method that we propose, which recovers the signal from the weighted sum of the intensities of all the pixels, where the signs of the weights are determined by selecting a reference pixel and calculating the signs of the cross-correlations of the intensity of the reference pixel and the intensities of the other pixels.
Xiaoyu Nie - One of the best experts on this subject based on the ideXlab platform.
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noise robust computational ghost imaging with pink noise Speckle Patterns
Physical Review A, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M ZubairyAbstract:We propose a computational ghost imaging (CGI) scheme using customized pink noise Speckle pattern illumination. By modulating the power spectrum distribution of the Speckles, we generate Speckle Patterns with a significant positive spatial intensity fluctuation correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and show it is robust to noise environment. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives much better image qualities under different types of noise than the traditional way. The proposed scheme promises potential applications in underwater, dynamic, and moving target CGI.
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sub rayleigh second order correlation imaging using spatially distributive colored noise Speckle Patterns
Optics Express, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Tao Peng, Suhail M Zubairy, Dongyu Liu, Xiaolong Dong, Marlan O ScullyAbstract:We present a novel method, to our knowledge, to synthesize non-trivial Speckle Patterns that can enable sub-Rayleigh second-order correlation imaging. The Speckle Patterns acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise distribution on spatial Fourier power spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise Speckle Patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial Speckle pattern generation by tailoring amplitudes in spatial Fourier power spectrum of the input light fields and provides a versatile scheme for constructing sub-Rayleigh imaging and microscopy systems without invoking complicated higher-order correlations.
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anti interference computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:We propose a computational ghost imaging scheme using customized pink noise Speckle pattern illumination. By modulating the spatial frequency amplitude of the Speckles, we generate Speckle Patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.
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noise free computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:Computational ghost imaging reconstructs an object by second order correlation measurement with the use of a single pixel detector. It normally requires a large number of Speckle Patterns to make an ensemble average to retrieve the desired images. In this work, we propose a pink noise Speckle pattern illumination in the computational ghost imaging system. We then experimentally demonstrate high signal-to-noise ratio reconstructed images in the presence of a variety of noises. The results are also compared with the use of standard white noise. We show that under extreme noisy environment or pattern distortion, our method gives good quality image while traditional method fails.
Suhail M Zubairy - One of the best experts on this subject based on the ideXlab platform.
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noise robust computational ghost imaging with pink noise Speckle Patterns
Physical Review A, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M ZubairyAbstract:We propose a computational ghost imaging (CGI) scheme using customized pink noise Speckle pattern illumination. By modulating the power spectrum distribution of the Speckles, we generate Speckle Patterns with a significant positive spatial intensity fluctuation correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and show it is robust to noise environment. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives much better image qualities under different types of noise than the traditional way. The proposed scheme promises potential applications in underwater, dynamic, and moving target CGI.
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sub rayleigh second order correlation imaging using spatially distributive colored noise Speckle Patterns
Optics Express, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Tao Peng, Suhail M Zubairy, Dongyu Liu, Xiaolong Dong, Marlan O ScullyAbstract:We present a novel method, to our knowledge, to synthesize non-trivial Speckle Patterns that can enable sub-Rayleigh second-order correlation imaging. The Speckle Patterns acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise distribution on spatial Fourier power spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise Speckle Patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial Speckle pattern generation by tailoring amplitudes in spatial Fourier power spectrum of the input light fields and provides a versatile scheme for constructing sub-Rayleigh imaging and microscopy systems without invoking complicated higher-order correlations.
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anti interference computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:We propose a computational ghost imaging scheme using customized pink noise Speckle pattern illumination. By modulating the spatial frequency amplitude of the Speckles, we generate Speckle Patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.
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noise free computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:Computational ghost imaging reconstructs an object by second order correlation measurement with the use of a single pixel detector. It normally requires a large number of Speckle Patterns to make an ensemble average to retrieve the desired images. In this work, we propose a pink noise Speckle pattern illumination in the computational ghost imaging system. We then experimentally demonstrate high signal-to-noise ratio reconstructed images in the presence of a variety of noises. The results are also compared with the use of standard white noise. We show that under extreme noisy environment or pattern distortion, our method gives good quality image while traditional method fails.
Fan Yang - One of the best experts on this subject based on the ideXlab platform.
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noise robust computational ghost imaging with pink noise Speckle Patterns
Physical Review A, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M ZubairyAbstract:We propose a computational ghost imaging (CGI) scheme using customized pink noise Speckle pattern illumination. By modulating the power spectrum distribution of the Speckles, we generate Speckle Patterns with a significant positive spatial intensity fluctuation correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and show it is robust to noise environment. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives much better image qualities under different types of noise than the traditional way. The proposed scheme promises potential applications in underwater, dynamic, and moving target CGI.
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sub rayleigh second order correlation imaging using spatially distributive colored noise Speckle Patterns
Optics Express, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Tao Peng, Suhail M Zubairy, Dongyu Liu, Xiaolong Dong, Marlan O ScullyAbstract:We present a novel method, to our knowledge, to synthesize non-trivial Speckle Patterns that can enable sub-Rayleigh second-order correlation imaging. The Speckle Patterns acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise distribution on spatial Fourier power spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise Speckle Patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial Speckle pattern generation by tailoring amplitudes in spatial Fourier power spectrum of the input light fields and provides a versatile scheme for constructing sub-Rayleigh imaging and microscopy systems without invoking complicated higher-order correlations.
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anti interference computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:We propose a computational ghost imaging scheme using customized pink noise Speckle pattern illumination. By modulating the spatial frequency amplitude of the Speckles, we generate Speckle Patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.
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noise free computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:Computational ghost imaging reconstructs an object by second order correlation measurement with the use of a single pixel detector. It normally requires a large number of Speckle Patterns to make an ensemble average to retrieve the desired images. In this work, we propose a pink noise Speckle pattern illumination in the computational ghost imaging system. We then experimentally demonstrate high signal-to-noise ratio reconstructed images in the presence of a variety of noises. The results are also compared with the use of standard white noise. We show that under extreme noisy environment or pattern distortion, our method gives good quality image while traditional method fails.
Xiangpei Liu - One of the best experts on this subject based on the ideXlab platform.
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noise robust computational ghost imaging with pink noise Speckle Patterns
Physical Review A, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M ZubairyAbstract:We propose a computational ghost imaging (CGI) scheme using customized pink noise Speckle pattern illumination. By modulating the power spectrum distribution of the Speckles, we generate Speckle Patterns with a significant positive spatial intensity fluctuation correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and show it is robust to noise environment. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives much better image qualities under different types of noise than the traditional way. The proposed scheme promises potential applications in underwater, dynamic, and moving target CGI.
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sub rayleigh second order correlation imaging using spatially distributive colored noise Speckle Patterns
Optics Express, 2021Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Tao Peng, Suhail M Zubairy, Dongyu Liu, Xiaolong Dong, Marlan O ScullyAbstract:We present a novel method, to our knowledge, to synthesize non-trivial Speckle Patterns that can enable sub-Rayleigh second-order correlation imaging. The Speckle Patterns acquire a unique anti-correlation in the spatial intensity fluctuation by introducing the blue noise distribution on spatial Fourier power spectrum to the input light fields through amplitude modulation. Illuminating objects with the blue noise Speckle Patterns can lead to a sub-diffraction limit imaging system with a resolution more than three times higher than first-order imaging, which is comparable to the resolving power of ninth order correlation imaging with thermal light. Our method opens a new route towards non-trivial Speckle pattern generation by tailoring amplitudes in spatial Fourier power spectrum of the input light fields and provides a versatile scheme for constructing sub-Rayleigh imaging and microscopy systems without invoking complicated higher-order correlations.
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anti interference computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:We propose a computational ghost imaging scheme using customized pink noise Speckle pattern illumination. By modulating the spatial frequency amplitude of the Speckles, we generate Speckle Patterns with a significant positive spatial correlation. We experimentally reconstruct images using our synthesized Speckle Patterns in the presence of a variety of noise sources and pattern distortion and shown it is robust to noise interference. The results are compared with the use of standard white noise Speckle Patterns. We show that our method gives good image qualities under different noise interference situations while the traditional way fails. The proposed scheme promises potential applications in underwater, dynamic, and moving target computational ghost imaging.
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noise free computational ghost imaging with pink noise Speckle Patterns
arXiv: Optics, 2020Co-Authors: Xiaoyu Nie, Fan Yang, Xiangpei Liu, Xingchen Zhao, Reed Nessler, Tao Peng, Suhail M Zubairy, Marlan O ScullyAbstract:Computational ghost imaging reconstructs an object by second order correlation measurement with the use of a single pixel detector. It normally requires a large number of Speckle Patterns to make an ensemble average to retrieve the desired images. In this work, we propose a pink noise Speckle pattern illumination in the computational ghost imaging system. We then experimentally demonstrate high signal-to-noise ratio reconstructed images in the presence of a variety of noises. The results are also compared with the use of standard white noise. We show that under extreme noisy environment or pattern distortion, our method gives good quality image while traditional method fails.