In a single-pixel fast imaging setup,the data collected by the single-pixel detector needs to be processed by a computer,but the speed of the latter will affect the image reconstruction time.Here we propose two kinds ...In a single-pixel fast imaging setup,the data collected by the single-pixel detector needs to be processed by a computer,but the speed of the latter will affect the image reconstruction time.Here we propose two kinds of setups which are able to transform non-visible into visible light imaging,wherein their computing process is replaced by a camera integration mode.The image captured by the camera has a low contrast,so here we present an algorithm that can realize a high quality image in near-infrared to visible cross-waveband imaging.The scheme is verified both by simulation and in actual experiments.The setups demonstrate the great potential for single-pixel imaging and high-speed cross-waveband imaging for future practical applications.展开更多
X-ray ghost imaging(XGI) has opened up a new avenue for damage-free medical imaging.Here energy-selective spectroscopic XGI under poor illumination is demonstrated with a single-pixel detector for the first time.The k...X-ray ghost imaging(XGI) has opened up a new avenue for damage-free medical imaging.Here energy-selective spectroscopic XGI under poor illumination is demonstrated with a single-pixel detector for the first time.The key device was a specially fabricated Au mask incorporating a new modulation pattern design,by which means images of a real object were obtained with a spatial resolution of 10 μm and a spectral energy resolution of about 1.5 keV.Compressed sensing was also introduced to improve the image quality.Our proof-of-principle experiment extends the methodology of XGI to make possible the retrieval of spectral images with only a single-pixel detector,and paves the way for potential applications in many fields such as biology,material science and environmental sensing.展开更多
It is generally believed that,in ghost imaging,there has to be a compromise between resolution and visibility.Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image...It is generally believed that,in ghost imaging,there has to be a compromise between resolution and visibility.Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved,while at the same time the signal-to-noise ratio(SNR)and visibility are greatly improved,without adding complexity.The dependence of the SNR,visibility,and resolution on the number of iterations is also investigated and discussed.Moreover,with the use of compressed sensing the sampling number can be reduced to less than 1%of the Nyquist limit,while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.展开更多
A filtered ghost imaging(GI)protocol is proposed that enables the Rayleigh diffraction limit to be exceeded in an intensity correlation system;a super-resolution reconstructed image is achieved by low-pass filtering o...A filtered ghost imaging(GI)protocol is proposed that enables the Rayleigh diffraction limit to be exceeded in an intensity correlation system;a super-resolution reconstructed image is achieved by low-pass filtering of the measured intensities.In a lensless GI experiment performed with spatial bandpass filtering,the spatial resolution can exceed the Rayleigh diffraction bound by more than a factor of 10.The resolution depends on the bandwidth of the filter,and the relationship between the two is investigated and discussed.In combination with compressed sensing programming,not only high resolution can be maintained but also image quality can be improved,while a much lower sampling number is sufficient.展开更多
We report an overlapping sampling scheme to accelerate computational ghost imaging for imaging moving targets,based on reordering a set of Hadamard modulation matrices by means of a heuristic algorithm. The new conden...We report an overlapping sampling scheme to accelerate computational ghost imaging for imaging moving targets,based on reordering a set of Hadamard modulation matrices by means of a heuristic algorithm. The new condensed overlapped matrices are then designed to shorten and optimize encoding of the overlapped patterns, which are shown to be much superior to the random matrices. In addition, we apply deep learning to image the target, and use the signal acquired by the bucket detector and corresponding real image to train the neural network. Detailed comparisons show that our new method can improve the imaging speed by as much as an order of magnitude, and improve the image quality as well.展开更多
Single-pixel imaging (SPI) captures two-dimensional images utilizing a sequence of modulation patterns and measurements recorded by a single-pixel detector. However, the sequential measurement of a scene is time-consu...Single-pixel imaging (SPI) captures two-dimensional images utilizing a sequence of modulation patterns and measurements recorded by a single-pixel detector. However, the sequential measurement of a scene is time-consuming, especially for high-spatial-resolution imaging. Furthermore, for spectral SPI, the enormous data storage and processing time requirements substantially diminish imaging efficiency. To reduce the required number of patterns, we propose a strategy by optimizing a Hadamard pattern sequence via Morton frequency domain scanning to enhance the quality of a reconstructed spectral cube at low sampling rates. Additionally, we expedite spectral cube reconstruction, eliminating the necessity for a large Hadamard matrix. We demonstrate the effectiveness of our approach through both simulation and experiment,achieving sub-Nyquist sampling of a three-dimensional spectral cube with a spatial resolution of 256×256 pixels and181 spectral bands and a reduction in reconstruction time by four orders of magnitude. Consequently, our method offers an efficient solution for compressed spectral imaging.展开更多
Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cam...Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cameras with high quantum efficiency are expensive and include complex thermoelectric cooling systems.Here,we demonstrate a UV computational ghost imaging(UV-CGI)method to provide a cost-effective UV imaging and detection strategy.By applying spatial–temporal illumination patterns and using a 325 nm laser source,a singlepixel detector is enough to reconstruct the images of objects.We use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample.Furthermore,we demonstrate dark-field UV-CGI in both transmission and reflection schemes.By only collecting the scattered light from objects,we can detect the edges of pure phase objects and small scratches on a compact disc.Our results showcase a feasible low-cost solution for nondestructive UV imaging and detection.By combining it with other imaging techniques,such as hyperspectral imaging or time-resolved imaging,a compact and versatile UV computational imaging platform may be realized for future applications.展开更多
Neutron imaging is an invaluable tool for noninvasive analysis in many fields.However,neutron facilities are expensive and inconvenient to access,while portable sources are not strong enough to form even a static imag...Neutron imaging is an invaluable tool for noninvasive analysis in many fields.However,neutron facilities are expensive and inconvenient to access,while portable sources are not strong enough to form even a static image within an acceptable time frame using traditional neutron imaging.Here we demonstrate a new scheme for single-pixel neutron imaging of real objects,with spatial and spectral resolutions of 100 lm and 0.4%at 1A,respectively.Low illumination down to 1000 neutron counts per frame pattern was achieved.The experimental setup is simple,inexpensive,and especially suitable for low intensity portable sources,which should greatly benefit applications in biology,material science,and industry.展开更多
文摘In a single-pixel fast imaging setup,the data collected by the single-pixel detector needs to be processed by a computer,but the speed of the latter will affect the image reconstruction time.Here we propose two kinds of setups which are able to transform non-visible into visible light imaging,wherein their computing process is replaced by a camera integration mode.The image captured by the camera has a low contrast,so here we present an algorithm that can realize a high quality image in near-infrared to visible cross-waveband imaging.The scheme is verified both by simulation and in actual experiments.The setups demonstrate the great potential for single-pixel imaging and high-speed cross-waveband imaging for future practical applications.
基金Supported by the Science Challenge Project(No.TZ2018005)the Civil Space Project(No.D040301-1)+2 种基金the National Natural Science Foundation of China(Nos.11991073,11721404,and 61975229)the National Key R&D Program of China(Nos.2017YFA0403301 and 2018YFB0504302)the Key Program of CAS(No.XDB17030500).
文摘X-ray ghost imaging(XGI) has opened up a new avenue for damage-free medical imaging.Here energy-selective spectroscopic XGI under poor illumination is demonstrated with a single-pixel detector for the first time.The key device was a specially fabricated Au mask incorporating a new modulation pattern design,by which means images of a real object were obtained with a spatial resolution of 10 μm and a spectral energy resolution of about 1.5 keV.Compressed sensing was also introduced to improve the image quality.Our proof-of-principle experiment extends the methodology of XGI to make possible the retrieval of spectral images with only a single-pixel detector,and paves the way for potential applications in many fields such as biology,material science and environmental sensing.
基金supported by the National Key Research and Development Program of China(Grant No.2018YFB0504302)the National Natural Science Foundation of China(Grant No.61975229)Civil Space Project(Grant No.D040301)。
文摘It is generally believed that,in ghost imaging,there has to be a compromise between resolution and visibility.Here we propose and demonstrate an iterative filtered ghost imaging scheme whereby a super-resolution image of a grayscale object is achieved,while at the same time the signal-to-noise ratio(SNR)and visibility are greatly improved,without adding complexity.The dependence of the SNR,visibility,and resolution on the number of iterations is also investigated and discussed.Moreover,with the use of compressed sensing the sampling number can be reduced to less than 1%of the Nyquist limit,while maintaining image quality with a resolution that can exceed the Rayleigh diffraction bound by more than a factor of 10.
基金Project supported by the National Key Research and Development Program of China(Grant Nos.2018YFB0504302 and 2017YFB0503301)Defense Industrial Technology Development Program(Grant No.D040301-1)。
文摘A filtered ghost imaging(GI)protocol is proposed that enables the Rayleigh diffraction limit to be exceeded in an intensity correlation system;a super-resolution reconstructed image is achieved by low-pass filtering of the measured intensities.In a lensless GI experiment performed with spatial bandpass filtering,the spatial resolution can exceed the Rayleigh diffraction bound by more than a factor of 10.The resolution depends on the bandwidth of the filter,and the relationship between the two is investigated and discussed.In combination with compressed sensing programming,not only high resolution can be maintained but also image quality can be improved,while a much lower sampling number is sufficient.
基金supported by the National Key Research and Development Program of China (Grant Nos. 2017YFA0403301, 2017YFB0503301, and2018YFB0504302)the National Natural Science Foundation of China (Grant Nos. 11991073, 61975229, and Y8JC011L51)+2 种基金the Key Program of CAS (Grant No. XDB17030500)the Civil Space Project (Grant No. D040301)the Science Challenge Project (Grant No. TZ2018005)。
文摘We report an overlapping sampling scheme to accelerate computational ghost imaging for imaging moving targets,based on reordering a set of Hadamard modulation matrices by means of a heuristic algorithm. The new condensed overlapped matrices are then designed to shorten and optimize encoding of the overlapped patterns, which are shown to be much superior to the random matrices. In addition, we apply deep learning to image the target, and use the signal acquired by the bucket detector and corresponding real image to train the neural network. Detailed comparisons show that our new method can improve the imaging speed by as much as an order of magnitude, and improve the image quality as well.
文摘Single-pixel imaging (SPI) captures two-dimensional images utilizing a sequence of modulation patterns and measurements recorded by a single-pixel detector. However, the sequential measurement of a scene is time-consuming, especially for high-spatial-resolution imaging. Furthermore, for spectral SPI, the enormous data storage and processing time requirements substantially diminish imaging efficiency. To reduce the required number of patterns, we propose a strategy by optimizing a Hadamard pattern sequence via Morton frequency domain scanning to enhance the quality of a reconstructed spectral cube at low sampling rates. Additionally, we expedite spectral cube reconstruction, eliminating the necessity for a large Hadamard matrix. We demonstrate the effectiveness of our approach through both simulation and experiment,achieving sub-Nyquist sampling of a three-dimensional spectral cube with a spatial resolution of 256×256 pixels and181 spectral bands and a reduction in reconstruction time by four orders of magnitude. Consequently, our method offers an efficient solution for compressed spectral imaging.
基金National Natural Science Foundation of China(62075004,62275010,11804018)China Postdoctoral Science Foundation(2022M720347,2022TQ0020)+2 种基金Beijing Municipal Natural Science Foundation(4212051,1232027)International Postdoctoral Exchange Fellowship Program(YJ20220241,YJ20220037)Fundamental Research Funds for the Central Universities。
文摘Ultraviolet(UV)imaging enables a diverse array of applications,such as material composition analysis,biological fluorescence imaging,and detecting defects in semiconductor manufacturing.However,scientific-grade UV cameras with high quantum efficiency are expensive and include complex thermoelectric cooling systems.Here,we demonstrate a UV computational ghost imaging(UV-CGI)method to provide a cost-effective UV imaging and detection strategy.By applying spatial–temporal illumination patterns and using a 325 nm laser source,a singlepixel detector is enough to reconstruct the images of objects.We use UV-CGI to distinguish four UV-sensitive sunscreen areas with different densities on a sample.Furthermore,we demonstrate dark-field UV-CGI in both transmission and reflection schemes.By only collecting the scattered light from objects,we can detect the edges of pure phase objects and small scratches on a compact disc.Our results showcase a feasible low-cost solution for nondestructive UV imaging and detection.By combining it with other imaging techniques,such as hyperspectral imaging or time-resolved imaging,a compact and versatile UV computational imaging platform may be realized for future applications.
基金supported by the National Key R&D Program of China(2016YFA0401504,2017YFA0403301,2017YFB0503301,and 2018YFB0504302)the National Natural Science Foundation of China(11991073,61975229,61805006,and U1932219)+2 种基金the Key Program of Chinese Academy of Sciences(XDA25030400,and XDB17030500)the Civil Space Project(D040301)the Science Challenge Project(TZ2018005)。
文摘Neutron imaging is an invaluable tool for noninvasive analysis in many fields.However,neutron facilities are expensive and inconvenient to access,while portable sources are not strong enough to form even a static image within an acceptable time frame using traditional neutron imaging.Here we demonstrate a new scheme for single-pixel neutron imaging of real objects,with spatial and spectral resolutions of 100 lm and 0.4%at 1A,respectively.Low illumination down to 1000 neutron counts per frame pattern was achieved.The experimental setup is simple,inexpensive,and especially suitable for low intensity portable sources,which should greatly benefit applications in biology,material science,and industry.
