43 results about "High spatial frequency" patented technology

A method performed by a mura compensation data generation device, the method includes: generating optical information for a plurality of pixels of a display panel operating based on test data; generating, based on the optical information, raw mura compensation data to compensate input video data provided to the display panel; extracting a high spatial frequency component and a low spatial frequency component from the raw mura compensation data; generating a compressed high spatial frequency component, by compressing, based on a first compression algorithm, the high spatial frequency component; generating a compressed low spatial frequency component, by compressing, based on a second compression algorithm, the low spatial frequency component; and storing the compressed high spatial frequency component and the compressed low spatial frequency component in an external storage circuit.

A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation (the characteristic modulation is applied to a high spatial frequency (HSF) component of the visual stimulus) and displaying the visual stimulus or each visual stimulus via a graphical user interface (GUI) of a display, a response can be induced in the brain of a user. By receiving a neural signal of the user from a neural signal capture device such as an EEG device, the user's focus point (when the user views the visual stimulus) can be determined based on the neural signal, because the neural signal includes information associated with the characteristic modulation of the visual stimulus to which the user's visual attention is directed.

The invention provides a data generation apparatus and method for brightness unevenness compensation, and a display driving circuit. A method performed by a luminance unevenness compensation data generation apparatus, the method including: generating optical information of a plurality of pixels of a display panel operating based on test data; generating original luminance unevenness compensation data based on the optical information to compensate for input video data provided to the display panel; extracting a high spatial frequency component and a low spatial frequency component from the original luminance unevenness compensation data; generating a compressed high spatial frequency component by compressing the high spatial frequency component based on a first compression algorithm; generating a compressed low spatial frequency component by compressing the low spatial frequency component based on a second compression algorithm; and storing the compressed high spatial frequency component and the compressed low spatial frequency component in an external storage circuit.

A method performed by a mura compensation data generation device, the method includes: generating optical information for a plurality of pixels of a display panel operating based on test data; generating, based on the optical information, raw mura compensation data to compensate input video data provided to the display panel; extracting a high spatial frequency component and a low spatial frequency component from the raw mura compensation data; generating a compressed high spatial frequency component, by compressing, based on a first compression algorithm, the high spatial frequency component; generating a compressed low spatial frequency component, by compressing, based on a second compression algorithm, the low spatial frequency component; and storing the compressed high spatial frequency component and the compressed low spatial frequency component in an external storage circuit.

A method for restoration of a captured image includes: blurring the captured image based on removing high spatial frequency content and maintaining colour characteristics of the captured image; generating a global colour attention map corresponding to the blurred captured image, where the global colour attention map indicates spatial representation of colour composition among regions within the blurred captured image; splitting the captured image into a plurality of patches; extracting one or more task features from the plurality of patches, where the one or more task features indicate characteristics related to a corresponding task; and generating stitched features corresponding to the plurality of patches, respectively, based on correlating the one or more task features and the global colour attention map, where the stitched features indicate an integrated representation of the captured image based on a global context and the corresponding task.

Systems and methods are disclosed for assessing visual function of a user or patient. The systems and methods may contain steps, including: extracting data from an electrode site of a sensor; obtaining an average of the data across successive video presentations; applying a fast-Fourier transform to the average; determining a signal-to-noise ratio (SNR) of results of the fast-Fourier transform at tagged frequencies; determining a steady-state visual evoked potential (SSVEP) amplitude based on the SNR of the results of the fast-Fourier transform at the tagged frequencies; and determining a ratio of lower to higher spatial frequency SSVEPs to assess the vision function of the user.

A vertical deflection estimation device usable for inertial navigation includes: a gravity gradiometer (10), a known vertical deflection library part (20), a high frequency extraction part (30), and an estimation part (40). The gravity gradiometer (10) measures vertical deflection in accordance with positional movement of the gravity gradiometer (10). The known vertical deflection library part obtains known coarse information of vertical deflection on map in accordance with the positional movement of the gravity gradiometer (10). The high frequency extraction part (20) extracts, from the measured vertical deflection, a high spatial frequency component of the measured vertical deflection. The estimation part (40) corrects the measured vertical deflection to derive estimated vertical deflection as highly accurate vertical deflection by combining the known coarse information of vertical deflection on map with the extracted high spatial frequency component of the measured vertical deflection.

A method for restoration of a captured image includes: blurring the captured image based on removing high spatial frequency content and maintaining colour characteristics of the captured image; generating a global colour attention map corresponding to the blurred captured image, where the global colour attention map indicates spatial representation of colour composition among regions within the blurred captured image; splitting the captured image into a plurality of patches; extracting one or more task features from the plurality of patches, where the one or more task features indicate characteristics related to a corresponding task; and generating stitched features corresponding to the plurality of patches, respectively, based on correlating the one or more task features and the global colour attention map, where the stitched features indicate an integrated representation of the captured image based on a global context and the corresponding task.

An image display apparatus may include a display, an image receiver configured to receive an input image signal from an outside of the image display apparatus, and a signal processing device configured to process the input image signal and output an output image signal. In addition, the signal processing device may be configured to calculate a spatial frequency of at least part of the input image signal on a pixel basis, extract a first signal and a second signal having a higher spatial frequency than the first signal, from the input image signal based on the calculated spatial frequency, perform upscaling and super resolution processing on the first signal, and output the output image signal based on the upscaled and super resolution-processed first signal and the second signal.

A glass article is provided that includes: a glass substrate comprising a thickness and a primary surface; and a textured region defined by the primary surface. The textured region comprises a low spatial frequency region and a high spatial frequency region substantially superimposed within the low spatial frequency region. Further, the low spatial frequency region comprises an average lateral feature size that exceeds an average lateral feature size of the high spatial frequency region. In addition, the textured region comprises a surface roughness (Ra) from about 10 nm to about 1000 nm.

A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation, the characteristic modulation being applied to high spatial frequency, HSF, components of the visual stimulus and displaying the or each visual stimulus via a graphical user interface, GUI, of a display, a neural response may be induced in the user's brain. By receiving neural signals of a user from a neural signal capture device, such as an EEG device, a point of focus of the user (when the user views the visual stimulus) may be determined based on the neural signals, since the neural signals include information associated with the characteristic modulation of a visual stimulus to which the user's visual attention is directed.

In one or more amendments, a particle accelerator has a particle beam source and a target. The particle accelerator is configured to output radiation in at least one pulse. The particle beam source has an electrode with an electrode surface. The electrode surface has a first portion and a second portion. The first portion of the electrode surface defines a spiral pattern with high spatial-frequency contours. The second portion of the electrode surface defines a spiral pattern with low spatial-frequency contours.

The present invention relates to an optical lens for enhanced visual perception of a scene comprising a bandpass filter or a blur filter to reduce contrast and high spatial frequency of the scene.

The invention discloses an off-axis digital holographic imaging reconstruction method and system based on fractional Fourier, and relates to the technical field of off-axis digital holographic imaging. According to the method, the high-frequency information of the off-axis hologram is improved through a fractional order Fourier transform domain filtering method, the demodulation efficiency is further improved, and a set of reconstruction resolution is provided; in combination with fractional order Fourier transform domain filtering, filters with the same number of pixels can collect more high-frequency information, so that the resolution of reconstructed complex amplitude distribution is improved; in combination with an airspace zero padding operation, airspace view field loss possibly caused by fractional Fourier transform domain filtering is offset by introducing an invalid view field; in combination with hologram segmentation operation, the first shape feature and the second shape feature are respectively filtered by controlling the geometrical shapes of all items in a fractional Fourier transform domain, so that a larger effective filtering range is realized, the highest spatial frequency capable of being collected by filtering is further expanded, and the reconstruction resolution is further improved.

The invention relates to the artificial intelligence field and the digital medical field, and discloses an image classification method comprising the following steps: obtaining a target image, and decomposing the target image into a first component and a second component, the frequency of the first component being higher than the frequency of the second component; processing the first component by using a first preset network to obtain a first classification result; processing the second component by using a second preset network to obtain a second classification result; and weighting the first classification result and the second classification result to obtain a target classification result. According to the method provided by the invention, a natural image is divided into a low spatial frequency component for describing a stable change structure and a high spatial frequency component for describing fast change fine details, and the low spatial frequency component and the high spatial frequency component are respectively sent into different branch networks, so that information contained in the image is utilized more comprehensively; the problem that an existing image classification method is low in recognition performance is solved.

A method for generating an earth model is disclosed. The method includes receiving input data. The input data includes an initial earth model and observed seismic data. The method also includes determining a high spatial frequency component and a low spatial frequency component based on the input data. The method further includes preparing a full bandwidth model based on the high spatial frequency component and the low spatial frequency component. The method also includes generating synthetic seismic data using the full bandwidth model. The method also includes generating the earth model based on the synthetic seismic data and the observed seismic data.

A virtual reality head-mounted display device and a method for myopia control by stimulating small cell pathways are disclosed, relating to the fields of virtual reality (VR) technology and visual health intervention technology. The device includes: a display; a memory storing a computer program; and a processor coupled to the display and the memory for executing the computer program to control the display to present visual stimuli. The visual stimuli are configured to present dynamic patterns with first color-opposites characteristics within at least a portion of the visual field to selectively activate small cell pathways in the user's visual system. The intervention time of the dynamic patterns ranges from 3 to 30 minutes, and the time frequency ranges from 5 to 10 Hz. Through high spatial frequency (≥2 cpd) radial targets with red-green opposition, the device selectively stimulates retinal small cell ganglion cells and subsequent small cell visual nerve conduction pathways, significantly increasing the choroidal thickness near the fovea, thereby inhibiting myopia progression.

Various methods and systems are provided for selective recombination of reconstructed nuclear medicine (NM) image regions. The method may include acquiring and sorting imaging scan data that includes data elements having different accuracy properties into two or more different groups using an anticipated accuracy metric, reconstructing a first initial image volume from a first group having a highest anticipated accuracy metric of the two or more different groups, reconstructing a second initial image volume from a combined data group comprising data of the first group and a second group of the two or more different groups, wherein the second group has a lower anticipated accuracy metric compared to the first group, and generating an optimized image volume using corresponding image values from the first initial image volume, the second initial image volume, and an output of a high spatial frequencies detection (HSFD) operator applied to the first initial image volume.

The present invention is entitled "Deep Learning System and Method for Removing Truncation Artifacts in Magnetic Resonance Images". The present disclosure provides a computer-implemented method for removing truncation artifacts from magnetic resonance (MR) images. The method includes receiving a coarse image, the coarse image being based on partial k-space data from a portion of k-space that is asymmetrically truncated in at least one k-space dimension. The method also includes analyzing the coarse image using a neural network model trained with a pair of original images and a corrupted image. The corrupted image is based on the partial k-space data of the portion of k-space that is truncated with one or more partial sampling patterns. The original image is based on complete k-space data corresponding to the partial k-space data of the corrupted image, and a target output image of the neural network model is the original image. The method also includes deriving an improved image of the coarse image based on the analysis, wherein the derived improved image includes reduced truncation artifacts and increased high spatial frequency data.

The invention discloses a near-field simulation device for any electromagnetic scene, and belongs to the technical field of electromagnetic testing and simulation. The device is mainly composed of a target field, a near-field comprehensive method and a near-field comprehensive phased array plane. By optimizing the unit excitation weighting of the phased array aperture array plane, the integration of any target field can be realized on the near-field integration plane, and the phased array aperture array plane needs to be arranged according to the highest spatial frequency of the target field. If the highest spatial frequency of the target field is relatively small and the distance between the phased array aperture array plane units is required to be relatively large, the phased array aperture array plane can be a planar array; if the highest spatial frequency of the target field is large, the distance between the phased array aperture array plane units is required to be small, and the space field angle of the phased array plane is required to be large, the phased array aperture array plane needs to be a cylindrical array or a spherical array. According to the invention, near-field simulation of any electromagnetic scene can be realized, and the system has the advantages of compact system, materialization of electromagnetic environment simulation and high fidelity, and can be applied to physical electromagnetic environment simulation in the fields of radar target scenes, communication channel scenes and the like.

The invention provides a guide type quantum visual image recognition method and device. The method comprises the following steps: designing a guide normal form based on a visual high and low frequency complementary mechanism; and constructing an enhanced quantum classical hybrid model based on the guide normal form for quantum image recognition. The enhanced quantum classical hybrid model comprises an early visual cortex module for extracting low spatial frequency (LSF) information of an input image; the orbital frontal cortex module is used for generating initial prediction based on LSF information and positioning a potential HSF region based on an attention mechanism; the ventral visual pathway module is used for identifying an HSF region based on a high-frequency complexity index of two-dimensional discrete Fourier transform; and the fusiform module is combined with the orbital frontal cortex module and the ventral visual pathway module to obtain the HSF region, and high-spatial-frequency HSF information identification is carried out by utilizing a quantum reupload circuit. According to the invention, the efficiency and accuracy of image classification can be improved.

The invention relates to the technical field of scanning transmission electron microscopy, in particular to an electron lamination imaging method, device and equipment combining a local orbit and a plane wave, and the method comprises the steps: obtaining the actual diffraction intensity generated when an electron beam scans a sample and is located at each scanning position; initializing to-be-optimized parameters of all scanning positions; calculating beam spot functions of all scanning positions and potential function distribution of each layer of the sample; the diffraction intensity is calculated according to the beam spot function and the potential function distribution, the loss value of the loss function is calculated according to the actual diffraction intensity and the calculated diffraction intensity, the to-be-optimized parameters are updated by using the loss value until the loss function is converged, and the advantage of the local orbit in representing high spatial frequency information and the advantage of the plane wave in representing low spatial frequency are combined. And a more accurate sample potential function is obtained. Therefore, the problem that high-precision phase reconstruction is difficult to perform due to the lack of capability of simultaneously and accurately representing high-frequency and low-frequency information in the prior art is solved.

A glass article is provided that includes: a glass substrate comprising a thickness and a primary surface; and a textured region defined by the primary surface. The textured region comprises a low spatial frequency region and a high spatial frequency region substantially superimposed within the low spatial frequency region. Further, the low spatial frequency region comprises an average lateral feature size that exceeds an average lateral feature size of the high spatial frequency region. In addition, the textured region comprises a surface roughness (Ra) from about 10 nm to about 1000 nm.

In one or more amendments, a particle accelerator has a particle beam source and a target. The particle accelerator is configured to output radiation in at least one pulse. The particle beam source has an electrode with an electrode surface. The electrode surface has a first portion and a second portion. The first portion of the electrode surface defines a spiral pattern with high spatial-frequency contours. The second portion of the electrode surface defines a spiral pattern with low spatial-frequency contours.

A method and system for tracking visual attention are disclosed. By generating at least one visual stimulus with a characteristic modulation, the characteristic modulation being applied to high spatial frequency, HSF, components of the visual stimulus and displaying the or each visual stimulus via a graphical user interface, GUI, of a display, a neural response may be induced in the user's brain. By receiving neural signals of a user from a neural signal capture device, such as an EEG device, a point of focus of the user (when the user views the visual stimulus) may be determined based on the neural signals, since the neural signals include information associated with the characteristic modulation of a visual stimulus to which the user's visual attention is directed.

To appropriately execute a CI method by increasing a change from a base image even when an image with a strong visual feature such as a face image of a specific individual is used as the base image.SOLUTION: The disclosed method is a method of generating a CI from a base image by a classificationimage (hereinafter referred to as "CI") method, and includes performing, on a first face image, preprocessing of removing a high spatial frequency component of an image by a spatial filter to obtain a second face image obtained by removing the high spatial frequency component of the first face image, and using the second face image as the base image to obtain the CI by the CI method.SELECTED DRAWING: Figure 1

Various methods and systems are provided for selective recombination of reconstructed nuclear medicine (NM) image regions. The method may include acquiring and sorting imaging scan data that includes data elements having different accuracy properties into two or more different groups using an anticipated accuracy metric, reconstructing a first initial image volume from a first group having a highest anticipated accuracy metric of the two or more different groups, reconstructing a second initial image volume from a combined data group comprising data of the first group and a second group of the two or more different groups, wherein the second group has a lower anticipated accuracy metric compared to the first group, and generating an optimized image volume using corresponding image values from the first initial image volume, the second initial image volume, and an output of a high spatial frequencies detection (HSFD) operator applied to the first initial image volume.

An optical lens for augmented visual perception of a scene, the optical lens comprising a bandpass filter or a blurring filter, so as to lower contrast and high spatial frequencies of the scene. Also, methods for improving visual perception and treating an impairment of the magnocellular and / or parvocellular visual pathway with this optical lens. Also, a method for selecting optical lenses for improving visual perception of a scene.

The invention discloses an intermediate infrared star light interference fringe generation and aberration suppression evaluation system and method based on 4F system spatial filtering. The system is applied to coherent interference measurement of mid-infrared band fixed star light in astronomical observation. The system comprises a telescope collimation unit, an aberration equivalent unit, a 4F relay light path unit, an adjustable pinhole spatial filtering unit arranged on a 4F middle focal plane, a reference light generation and phase tilt modulation unit and a coherent superposition and interferogram output unit. By arranging the pinhole, the wavefront high-spatial-frequency component of the test arm is cut, so that the influence of atmospheric turbulence or high-order aberration on interference fringes is reduced, and the regularity of the fringes is improved. The system further provides a parameterization strategy for setting the pinhole size with the Airy spot radius as a scale, and interference fringes under different pinhole multiplying power can be subjected to comparative analysis and wavefront diagram PV value calculation. The method is suitable for the scenes of intermediate infrared coherent imaging, wavefront shaping, spatial filtering teaching demonstration and the like.

The application relates to the field of scanning transmission electron microscopy, in particular to an electron superposition imaging method, device and equipment combining a localized orbit and a plane wave, the method comprising the following steps: obtaining actual diffraction intensity generated when an electron beam scans a sample at each scanning position; initializing to-be-optimized parameters of all scanning positions; calculating a beam spot function of all scanning positions and a potential function distribution of each layer of the sample; calculating diffraction intensity according to the beam spot function and the potential function distribution, calculating a loss value of a loss function according to the actual diffraction intensity and the calculated diffraction intensity, updating the to-be-optimized parameters by using the loss value until the loss function converges, and combining the advantages of the localized orbit in representing high spatial frequency information and the advantages of the plane wave in representing low spatial frequency, so that a more accurate sample potential function is obtained. Therefore, the problems that related technologies lack the ability of simultaneously accurately representing high-frequency and low-frequency information and are difficult to perform high-precision reconstruction of a phase are solved.