467 results about "Superresolution" patented technology

A system and method for assuring a high resolution image of an object, such as the face of a person, passing through a targeted space are provided. Both stationary and active or pan-tilt-zoom cameras are utilized. The at least one stationary camera acts as a trigger point such that when a person passes through a predefined targeted area of the at least one stationary camera, the system is triggered for object imaging and tracking. Upon the occurrence of a triggering event in the system, the system predicts the motion and position of the person. Based on this predicted position of the person, an active camera that is capable of obtaining an image of the predicted position is selected and may be controlled to focus its image capture area on the predicted position of the person. After the active camera control and image capture processes, the system evaluates the quality of the captured face images and reports the result to the security agents and interacts with the user.

An x-ray imaging system uses particular emission lines that are optimized for imaging specific metallic structures in a semiconductor integrated circuit structures and optimized for the use with specific optical elements and scintillator materials. Such a system is distinguished from currently-existing x-ray imaging systems that primarily use the integral of all emission lines and the broad Bremstralung radiation. The disclosed system provides favorable imaging characteristics such as ability to enhance the contrast of certain materials in a sample, to use different contrast mechanisms in a single imaging system, and to increase the throughput of the system.

Systems and methods are provided for super-resolution imaging using 3-axis OIS. A super-resolution image may be created by enabling optical image stabilization (OIS) in three axes using an OIS system on a camera of an image capturing device; capturing an image of a scene using an image sensor of the camera; shifting the image on the image sensor by a predetermined subpixel amount; capturing the subpixel shifted image; and constructing a super-resolution image of the scene using the image and the subpixel shifted image. In one particular implementation, a position sensor may measure a positional drift of the image sensor after capturing the image. Using this measured positional drift, a time sufficient to shift the image sensor by a predetermined subpixel amount may be determined. The OIS may subsequently be disabled in one or two axes for the determined time.

The present invention includes a method for parallel magnetic resonance imaging termed Superresolution Sensitivity Encoding (SURE-SENSE) and its application to functional and spectroscopic magnetic resonance imaging. SURE-SENSE acceleration is performed by acquiring only the central region of k-space instead of increasing the sampling distance over the complete k-space matrix and reconstruction is explicitly based on intra-voxel coil sensitivity variation. SURE-SENSE image reconstruction is formulated as a superresolution imaging problem where a collection of low resolution images acquired with multiple receiver coils are combined into a single image with higher spatial resolution using coil sensitivity maps acquired with high spatial resolution. The effective acceleration of conventional gradient encoding is given by the gain in spatial resolution Since SURE-SENSE is an ill-posed inverse problem, Tikhonov regularization is employed to control noise amplification. Unlike standard SENSE, SURE-SENSE allows acceleration along all encoding directions.

A method implementable on a computing device includes exploiting data redundancy to combine high frequency information from at least two different scales of an input signal to generate a super resolution version of said input signal. An alternative method includes exploiting recurrence of data from an input signal in at least two different scales of at least one reference signal to extract and to combine high frequency information from a plurality of scales of said at least one reference signal to generate a super resolution version of said input signal. An alternative method includes generating a super resolution version of a single input video sequence in at least the temporal dimension by exploiting data recurrence within the input video sequence or with respect to an external database of example video sequences. A signal may be an image, a video sequence, an audio signal, etc.

New sensors, pixel detectors and different embodiments of multi-channel integrated circuit are disclosed. The new high energy and spatial resolution sensors use solid state detectors. Each channel or pixel of the readout chip employs low noise preamplifier at its input followed by other circuitry. The different embodiments of the sensors, detectors and the integrated circuit are designed to produce high energy and / or spatial resolution two-dimensional and three-dimensional imaging for different applications. Some of these applications may require fast data acquisition, some others may need ultra high energy resolution, and a separate portion may require very high contrast. The embodiments described herein addresses these issues and also other issues that may be useful in two and three dimensional medical and industrial imaging. The applications of the new sensors, detectors and integrated circuits addresses a broad range of applications such as medical and industrial imaging, NDE and NDI, security, baggage scanning, astrophysics, nuclear physics and medicine.

Apparatus for high resolution imaging of a moving object comprises a source of low coherence light, an optical coherence tomography imaging instrument or a dual channel, optical coherence tomography / confocal imaging instrument, a transverse scanner, an interferometer, depth adjustment means, and interface optics. First and an optional second sensing blocks sense the axial and respectively the transverse position of the object. A splitting element is shared so that the interface optics and the sensing blocks have a common axis of light transmitted to and from the object. Timing means establishes a timing, and timing intervals and reference times for images as they are taken. The acceptability of each scanned image is determined according to predetermined criteria. A series of en-face OCT images, or of longitudinal OCT images of the object may be taken at different depths or transverse coordinates, and the stack of collected images is used to build 3D profiles of the object.

A detection apparatus that includes (a) an array of responsive pads on a substrate surface; (b) an array of pixels, wherein each pixel in the array has a detection zone on the surface that includes a subset of at least two of the pads; and (c) an activation circuit to apply a force at a first and second pad in the subset, wherein the activation circuit is configured to apply a different force at the first pad compared to the second pad, and wherein the activation circuit has a switch to selectively alter the force at the first pad and the second pad.

A method and system for improving picture quality of color images by combing the content of a plurality of frames of the same subject; comprising: at least one processor; the at least one processor comprising a memory for storing a plurality of frames of a subject; the at least one processor operating to combine the content of plurality of frames of the subject into a combined color image by performing: a process in which at least two multicolored frames are converted to monochromatic predetermined color frames; a gross shift process in which the gross shift translation of one monochromatic predetermined color frame is determined relative to a reference monochromatic predetermined color frame; a subpixel shift process utilizing a correlation method to determine the translational and / or rotational differences of one monochromatic predetermined color frame to the reference monochromatic predetermined color frame to estimate sub-pixel shifts and / or rotations between the frames; and an error reduction process to determine whether the resolution of the resulting combined color image is of sufficient resolution; the error reduction process comprising applying at least one spatial frequency domain constraint and at least one spatial domain constraint to the combined color image to produce at least one high-resolution full color image.

The invention discloses a wide-field ultra-high-resolution imaging system comprising a narrow-field long-focal-length optical imaging sub-system array, an image processing device with an image splicing function and a system control device with a system control function. According to the invention, the formed image has an ultra-high resolution. Within the selected design index, the purpose of obtaining narrow-field close-up images while obtaining the wide-field wide-angle images is fulfilled by field selection.

The invention discloses a license plate super-resolution processing method and system based on deep learning. The method includes the following steps: acquiring a series of images containing license plate information from an original compressed surveillance video; tracking a target of interest in the images; selecting a plurality of points of interest, intercepting images with the points of interest as the center, and registering the images; and using a deep learning training base to get a corresponding deep network weight, and carrying out super-resolution processing on the multiple frames of images after registration with use of the deep network weight to get a clear high-definition license plate I. The intrinsic relationship between degraded characters and clear characters in a highly compressed surveillance video is learned through joint optimization using a super-resolution deep network model and a gradient guide network model. Super resolution and a de-blocking effect are achieved through a common deep network. The resolution of degraded character is improved, and the block effect is removed. The problem that the license plate characters in a highly compressed surveillance video cannot be seen clearly is solved.

An image processing device is provided that includes an image acquisition unit that obtains video data that includes a plurality of consecutive frames, and also obtains image data that correspond to some of the frames and have a higher spatial resolution than the frames. The image processing device also includes a super resolution processing unit that uses a plurality of the frames to perform super resolution processing on the frames, and that generates super resolution images that correspond to the frames. The image processing device further includes a motion estimation unit that uses the video data to detect a motion vector between the super resolution images and an image generation unit that, based on the super resolution images corresponding to the image data and on the motion vector, generates motion compensated image data that corresponds to the frames.

The invention discloses a radar foresight super-resolution imaging method which specifically includes: distance toward pulse compression, distance walking corrosion, distance toward inverse fast fourier transform (IFFT), determination of iterations and azimuth deconvolution. The radar foresight super-resolution imaging method performs azimuth modeling on echo scanned by a radar antenna in foresight mode to enable the echo to be in convolution, and estimates front ground feature distribution information in a deconvolution method; and additionally, based on noise statistical property, optimum iterations can be determined according to iteration deconvolution, so that radar can obtain better foresight super-resolution imaging performance. Compared with the background technology, the radar foresight super-resolution imaging method overcomes the restrains on scene of a single-pulse imaging technology and limitation on platform dimension of an array imaging method, further solves the problems of complex synchronization, motion compensation and the like of double-foundation synthetic aperture radar (SAR) and can effectively obtain ground feature distribution information of the area dead ahead the platform.

The invention discloses a method for two-photon fluorescence stimulated emission differential super-resolution microscopy. The method includes the steps that (1) after being collimated, pulsed laser beams are converted into linear polarized light and polarization modulation is conducted on the linear polarized light, so that radial polarized light is obtained; (2) the radial polarized light is converted into circular polarized light and projected onto a sample to be tested, two-photon stimulated emission is conducted, fluorescence is collected, and therefore first signal light intensity I1 is obtained; (3) polarization modulation is conducted on the linear polarized light obtained in the step (1) and the linear polarized light is converted into tangential polarized light; (4) the tangential polarized light is converted into circular polarized light and projected onto the sample to be tested, two-photon stimulated emission is conducted, fluorescence is collected, and therefore second signal light intensity I2 is obtained; (5) effective signal light intensity I is calculated according to a formula I=I1-gammaI2 , so that super-resolution imaging is achieved. The invention further discloses a device for two-photon fluorescence stimulated emission differential super-resolution microscopy. The device is simple, free of light division, low in light power, capable of weakening the photobleaching effect, higher in resolution and larger in imaging depth.

A system and process for converting a series of short-exposure, small-FOV zoom images to pristine, high-resolution images, of a face, license plate, or other targets of interest, within a fraction of a second. The invention takes advantage or the fact that some regions in a telescope field of view can be super-resolved; that is, features will appear in random regions which have resolution better than the diffraction limit of the telescope. This effect arises because the turbulent layer in the near-field of the object can act as a lens, focusing rays ordinarily outside the diffraction-limited cone into the distorted image. The physical effect often appears as magnified sub-regions of the image, as if one had held up a magnifying glass to a portion of the image. Applicants have experimentally shown these effects on short-range anisoplanatic imagery, along a horizontal path over the desert. In addition, they have developed powerful parallel processing software to overcome the warping and produce sharp images.

A method and system for improving picture quality of color images by combing the content of a plurality of frames of the same subject; comprising: at least one processor; the at least one processor comprising a memory for storing a plurality of frames of a subject; the at least one processor operating to combine the content of plurality of frames of the subject into a combined color image by performing: a process in which at least two multicolored frames are converted to monochromatic predetermined color frames; a gross shift process in which the gross shift translation of one monochromatic predetermined color frame is determined relative to a reference monochromatic predetermined color frame; a subpixel shift process utilizing a correlation method to determine the translational and / or rotational differences of one monochromatic predetermined color frame to the reference monochromatic predetermined color frame to estimate sub-pixel shifts and / or rotations between the frames; and an error reduction process to determine whether the resolution of the resulting combined color image is of sufficient resolution; the error reduction process comprising applying at least one spatial frequency domain constraint and at least one spatial domain constraint to the combined color image to produce at least one high-resolution full color image.

A method and system for improving picture quality of color images by combing the content of a plurality of frames of the same subject; comprising: at least one processor; the at least one processor comprising a memory for storing a plurality of frames of a subject; the at least one processor operating to combine the content of plurality of frames of the subject into a combined color image by performing: a process in which at least two multicolored frames are converted to monochromatic predetermined color frames; a gross shift process in which the gross shift translation of one monochromatic predetermined color frame is determined relative to a reference monochromatic predetermined color frame; a subpixel shift process utilizing a correlation method to determine the translational and / or rotational differences of one monochromatic predetermined color frame to the reference monochromatic predetermined color frame to estimate sub-pixel shifts and / or rotations between the frames; and an error reduction process to determine whether the resolution of the resulting combined color image is of sufficient resolution; the error reduction process comprising applying at least one spatial frequency domain constraint and at least one spatial domain constraint to the combined color image to produce at least one high-resolution full color image.

The invention belongs to the technical field of an ultrasonic diagnosis device, relating to a vascular mechanics super resolution image and a hemodynamic parameter system and a method thereof. The system comprises a blood vessel and surrounding tissue mechanics property super resolution imaging subsystem, a blood vessel compression back and forth area ratio calculation subsystem, a hemodynamics multiparameter detection subsystem. The method is as follows: (1) a B ultrasonic image of the blood vessel before and after compression is acquired for super resolution reconstruction; based on the reconstruction, displacement estimation, strain estimation and elasticity modulus reconstruction are carried out on the blood vessel; an elastic graph of the blood vessel and the sounding issue is drafted; (2) the situation of change of the cross-sectional area ratio of the blood vessel before and after compression is determined according to the situation of change of the cross-sectional area of the blood vessel before and after compression; (3) the distribution of velocity field in the blood vessel is reconstructed and the shearing rate of the blood vessel is calculated; the state of the blood stream and the vessel wall is analyzed. By imaging on vascular mechanics property and calculating on dynamical parameters, the nature and variation of the blood vessel and the sounding tissue is analyzed, thus increasing the accuracy of detecting blood vessel and thrombus.

The invention discloses a microwave related imaging system and a microwave related imaging method based on a thinned array, which mainly aim to solve the problems of poor imaging effect and low resolution when non-radial relative movement does not exist between a radar antenna and a target in the prior art. The system comprises a transmitting antenna (1), a target (2), a receiver (3) and a signal processor (5), wherein the transmitting antenna (1) is formed by a thinned array antenna; different microwave coded signals are transmitted by all array elements, so as to form a microwave radiation field in space through incoherent superposition; the target (2) is irradiated through the microwave radiation field, so as to generate target scattering echoes; the microwave radiation field (4) on the surface of the target (2) is stored; the target scattering echoes are received by the receiver (3) through a single antenna and a single channel; and the target scattering echoes received by the receiver (3) and the pre-stored microwave radiation field (4) are processed by the signal processor (5), so as to obtain the imaging of the target. By using the system and the method, super-resolution imaging of the target without ambiguity can be realized when the non-radial relative movement does not exist between the radar antenna and the target, and the system and the method can be used for super-resolution imaging of the target by an airborne forward-looking radar and a ball-borne radar.

The invention discloses a super-resolution imaging system based on a compression coding aperture and an imaging method thereof, mainly solving a problem of expensive imaging cost in the prior art. The method comprises the following steps: designing a convolution template, and making a coding aperture according to coherence of a light source; placing the prepared coding aperture at a position of aperture diaphragm in an optical system and pressing a shutter for imaging, and obtaining a low resolution coding image; transmitting the coding image to a master control computer, decoding super-resolution to reconstruct a high-resolution image, and using a denoising algorithm to remove an artificial trace in the high-resolution image. The system and the method are characterized in that: restriction of a Nyquist criterion is broken through, low frequency sampling is carried out on a scene, the high-resolution image is obtained through super-resolution reconstruction, data waste caused by first sampling and second compression of a traditional imaging system is overcome, in sampling, data volume is compressed, imaging cost, compression cost and transmission cost are reduced, and the system and the method can be used for infrared imaging and remote sensing imaging technology.

The present disclosure provides improved microscopic imaging techniques, equipment and systems. More particularly, the present disclosure provides advantageous microscopy assemblies with illumination engineering (e.g., 3D microscopy assemblies with illumination engineering), and related methods of use. Disclosed herein is an imaging technique / assembly that uses a spatial light modulator (“SLM”) for 3D tomographic imaging with brightfield or fluorescence illumination that can also be utilized for bright-field, dark-field, phase-contrast, and super-resolution microscopy. Disclosed herein are methods and instrumentation / assemblies having preferred uses for 3D tomographic imaging, and phase-contrast and super-resolution imaging. The present disclosure advantageously provides for assemblies and methods configured to create 3D tomographic images by way of acquiring a series of images with varied angle illumination using a SLM and computational reconstruction that substantially eliminates the need to move the sample. The disclosed assemblies and methods are also able to acquire bright-field, dark-field, various contrast, and super-resolution images.

The invention discloses a super-resolution imaging system. The imaging system comprises a first laser, a second laser, a first half-wave plate, a first pulse beam splitter, a spectrometer, a first battery of lens, a glass rod, polarization maintaining optical fibers, a spatial light modulator, a first object lens, a battery of reflectors, a second battery of lens, a reflector, single mode fibers, a second half-wave plate, a retroreflector, a reflector, a first dichroic mirror, a second dichroic mirror, a scanning system, a one fourth slide, a spacial object lens, a second pulse beam splitter, and a photomultiplier. A coherent optical adaptive technique is adopted to carry out aberration correction so as to increase the spatial resolution of a STED super-resolution microscopic imaging system, thus the aberration caused by uneven surface of a biological sample and uneven distribution of inner refractive index of a sample is eliminated, and the spacial resolution is increased.

The invention discloses a forward-looking scanning radar imaging method. The method comprise the steps of initializing imaging system parameters; performing range pulse compression on echo data; subjecting a radar right forward-looking area to super-resolution imaging processing; performing back projection imaging processing on a large-azimuth area; and splicing imaging results of the two areas. According to the forward-looking scanning radar imaging method, an ill-posed problem regularization method is utilized, and accordingly, the azimuth resolution is improved, and a back projection algorithm is combined to improve the azimuth resolution of the large-azimuth area. The two imaging results are spliced into a complete scene image, so that the forward-looking scanning radar imaging scene range is expanded, and not only the defect that synthetic aperture radars cannot perform forward-looking imaging is overcome, but also the problem that azimuth imaging scene ranges of prior forward-looking scanning radars are small is solved.

The invention discloses a convolution retrieval method based on the truncated singular value decomposition theory. According to an echo model of a scanning radar, scanning radar azimuth echoes are built into convolutions of an antenna directional diagram and a target scattering coefficient. Scanning radar corner super-resolution imaging is achieved by using the convolution retrieval method. According to noise amplification in the convolution retrieval process, firstly, the noise amplification reason is analyzed from the algebraical angle; secondly, singular value decomposition is carried out on a convolution matrix, and singular value components causing noise amplification are removed; finally, convolution retrieval and scanning radar corner super-resolution imaging are achieved through the adoption of an algebra inversion method. By means of the method, the problem of the noise amplification caused by a traditional deconvolution method in the convolution process is effectively solved, and the accuracy of scanning radar corner super-resolution imaging achieved according to the deconvolution method is accordingly improved.

The invention discloses a scanning radar angle super-resolution imaging method. The scanning radar angle super-resolution imaging method comprises the following steps that a backward model for real beam scanning radar angle super-resolution imaging is established according to the Bayesian theory, the likelihood function relationship between a target and an echo and prior information of the target are respectively expressed through the Poisson distribution and the Laplace distribution in the model, radar angle super-resolution imaging is expressed as a posterior probability problem existing between the target and the echo, finally, according to the convex optimization theory, based on the nonlinear optimization method and approximate treatment, the target information corresponding to the maximum posterior probability is solved, and radar angle super-resolution imaging is achieved through target information reconstruction. By the adoption of the scanning radar angle super-resolution imaging method, super resolution of multiple targets in a real beam can be achieved.

The invention discloses a method for super-resolution imaging of a foresight array SAR based on sparse representation. The method mainly solves the problems that an existing foresight imaging algorithm is difficult to achieve physically, and system cost is high. The method comprises the steps that (1) SAR echo data are received in a double-base mode, and echo signals are modified in a single-base mode; (2) range pulse compression and direction dimension unbinding and frequency modulation are conducted on the modified echo signals; (3) according to the observation scene and the sparse characteristic of an imaging target, a cost function of SAR imaging of the processed signals is established through the maximum posterior probability estimation method; (4) the updated quasi-Newton algorithm is used for solving the cost function, and then a super-resolution imaging result of the foresight array SAR is obtained. By means of the method, a high-resolution foresight imaging result can be obtained under the condition of a limited array length, the cost and complexity of a system are effectively lowered, and the method can be applied to target detection, topographic reconnaissance, guidance, city planning and environment surveys.

The invention discloses a DMD-based dual-mode optical super-resolution microscopic imaging device and method. The device comprises multiple lasers of different wavelengths, a laser modulation module and a microscope optical imaging system. The laser modulation module comprises a DMD pattern generation module and a mask plate. The DMD pattern generation module is matched with the mask plate to gate different diffraction light spots so that the objective of realizing two types of super-resolution microscopic technology imaging of SIM and SMLM by sharing the same optical path can be achieved. The DMD has the response speed and the stability higher than those of a mechanical shutter and can be used for wavelength separation so that the cost is lower and use is easier in comparison with the acousto-optic tunable filter, the optical path system is enabled to be more compact and the cost of the system can be greatly reduced. Implementation of different imaging modes depends on multiplexing of the DMD. Using the DMD is put forward for the first time, and two technologies of SIM and SMLM are realized in the same optical path so that advantage complementation of the two super-resolution imaging technology of SIM and SMLM is facilitated, and the device and the method can be used for the research of multiple cell biological problems.

The invention discloses a real beam scanning radar front-view super-resolution imaging method, which belongs to a method for realizing scanning radar front-view super-resolution imaging by using the total variation functional of the scattering coefficient of an imaging region as de-convolution of priori information. A scanning radar azimuth echo signal is modeled into a result obtained by superimposing noise onto the convolution of a sampling sequence of antenna beam along the azimuth and a sampling sequence of a target reflectance distribution function along the azimuth, and a problem of scanning radar front-view super-resolution imaging is converted into a de-convolution problem; then, the total variation functional of the scattering coefficient of an imaging region is integrated into priori information of the de-convolution problem, and the de-convolution problem is converted into a constrained optimization problem; and finally, a global optimal solution to the constrained optimization problem is obtained through a cross iteration method, and scanning radar front-view super-resolution imaging is realized.