32 results about "Statistical noise" patented technology

A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.

The invention relates to an expressway audio vehicle detection device and a method thereof. By the aid of the detection device, a microphone array signal acquisition module acquires an audio signal on a lane, the audio signal is subjected to band-splitting filtering and framing through a signal processing module after being subjected to de-noising processing through a noise suppression module, cross-correlation processing is conducted among sub-band signals, an audio space spectrogram is obtained, a vehicle detection module tracks a track of the maximum value on the audio space spectrogram and judges whether a vehicle passes, and the vehicle type and the vehicle speed are obtained through a vehicle type recognition module and a vehicle speed recognition module if the vehicle passes. The detection method is based on the device, a minimum statistical noise estimation method of the adaptive window length is adopted, the signal which is subjected to noise suppression processing is subjected to band-splitting filtering and framing processing, then cross-correlation processing is conducted among same sub-band signals, cross-correlation results are summed after being subjected to amplitude compression and are unfolded along a timer shaft, and an audio signal space-time spectrum is obtained. The method and the device have the advantages of being low in cost, low in energy consumption,easy to construct, interference resisting, capable of working in all weather and the like.

Described here are a system and method for producing a statistical noise map that indicates the noise present in data acquired with an x-ray imaging system, such as an x-ray computed tomography system, an x-ray tomosynthesis system, a C-arm x-ray imaging system, and so on. In general, an image is reconstructed from the acquired data using, for example, any standard filtered back projection (“FBP”) image reconstruction algorithm. This image is used as a base line to estimate a noise standard distribution map. The raw projection data represents a typical measurement among many repeated measurements under the same experimental conditions; therefore, the measured projection data can be used to numerically generate an ensemble of many (e.g., twenty or more) noisy projection data sets. These noisy projection data sets are then used to reconstruct noisy images and from these noisy images and the original image, the statistical noise map can be computed.

Data acquired using a pulsed nuclear source are susceptible to two sources of error. One error is due to large statistical noise towards the end of an acquisition window. Another source of error is the contamination of the early portion of the data by borehole and other effects. The beginning of the processing window is adjusted based on the signal level at the end of the processing window for the preceding pulsing of the source. The end of the processing window is derived from statistical considerations.

Provision can be made of a high-speed image processing apparatus that eliminates poor visibility in a dotted configuration or a superimposed portion of two streaks upon removing a false image due to statistical noise. That is, provision can be made of a high-speed image processing apparatus capable of outputting a processed image of high visibility in accordance with a shape of a configuration of a subject appearing in an original image upon removing a false image associated with the statistical noise. A band image noise extract generating unit performs image processing by superimposing a band image, an isotropic blur image, and an anisotropic blur image while changing weighting for each pixel in accordance with edge reliability. Such a construction eliminates poor visibility in the dotted configuration or the superimposed portion of two streaks upon removing the false image in the original image.

The invention discloses a method for estimating the signal-to-noise ratio of an OFDM system, which includes: extracting and storing time-domain data of a synchronous symbol according to system timing; performing fast Fourier transform on the time-domain data of the synchronous symbol to convert it to Transforming into frequency domain synchronization symbols; performing channel estimation on the frequency domain synchronization symbols; performing inverse fast Fourier transform on the channel estimation value of the frequency domain synchronization symbols to obtain a time domain channel impulse response; according to the time domain Statistical noise power and total power of the channel impulse response; and calculating the signal-to-noise ratio of the output signal according to the noise power and the total power. The invention also provides an OFDM system signal-to-noise ratio estimation device. The method and device for estimating the signal-to-noise ratio of the present invention use synchronous symbols in the frame structure of the OFDM system to estimate the signal-to-noise ratio, which can effectively improve the accuracy of estimating the signal-to-noise ratio of signals received by terminals in the OFDM system.

The invention discloses a noise image quality evaluation method combining reconstruction with noise scatter histograms. The method comprises the steps: 1) performing visual significance filtering for an input noise image to be evaluated; 2) performing partitioning processing of a filtering image by using a watershed image segmentation algorithm; 3) obtaining the components of a noise image signal by using a signal affine reconstruction matrix; 4) obtaining a noise residual plot through calculation; 5) calculating the noise standard deviation value of each partitioning, and performing statistics of noise scatter histograms; and 6) obtaining a noise image evaluation value through calculation. The noise image quality evaluation method combining reconstruction with noise scatter histograms utilizes a visual sensitive comparison function to perform visual substantial characteristic filtering, and utilizes the image segmentation algorithm and an affine reconstruction optimization problem to solve the components of the image signal, and can calculate the noise residual plot and perform statistics of noise scatter histograms, and can accurately obtain the noise image evaluation value.

The invention discloses a time sequence based proton or heavy ion radiotherapy dose real-time monitoring method, and belongs to the field of nuclear medical images. The method is based on a proton or heavy ion radiotherapy system and a prompt gamma photon imaging system, a projection sequence of prompt gamma photons generated in the spot scanning process of each rumor target region according to time sequence information of detected prompt gamma photons, rebuilding prompt gamma photon space distribution of the spot scanning process of each tumor target region according to prior information of the prompt gamma photons, and thus dose deposition space distribution of protons or heavy ions in the spot scanning process of the corresponding tumor target region is calculated, so that real-time dose monitoring for the proton or heavy ion radiotherapy process is realized. The dose monitoring method disclosed by the invention effectively utilizes the prior information of prompt gamma photon space distribution, the design of the prompt gamma photon imaging system can be simplified, influences of prompt gamma photon counting statistical noises can be reduced, and the accuracy of proton or heavy ion dose monitoring is improved.

The invention discloses a method for imaging an optimized angle of a well earthquake reflected wave, comprising the following steps: carrying out VSP-CDP conversion of each concentrical depth point according to well data of an objective area to obtain an imaging section set; obtaining an optimized angle upper limit value according to acoustic logging data or zero VSP speed data of the objective area; and stacking and imaging sections which are smaller than the optimized angle upper limit value in the imaging section set. The method can eliminate wave shape distortion, frequency reduction, polarity inversion and statistical noise interference of a small-angle area for wide-angle reflection and can increase a reflected wave imaging resolution ratio to really reflect the vertical and horizontal variation of underground media.

The invention relates to a gamma photon 3D imaging noise suppression method and application, belongs to the technical field of industrial detection, and provides an improved OSEM algorithm of ToF datarecombination based on the mapping principle of gamma photon ToF information and positron annihilation positions, a constraint image reconstruction model of a ToF index solution is established, datarecombination is performed on LoR by taking ToF information as an index. System matrix elements are adjusted according to ToF information weight coefficients, a system matrix is compressed by sparsifying the system matrix elements, and image reconstruction efficiencyis improved. an improved OSEM algorithm of solution constraint is adopted for image reconstruction, the contribution of image pixelsto LoR is limited to be matched with the distribution probability of positron annihilation position -ToF curves of the image pixels in ToF information, the purpose of suppressing statistical noise propagation is achieved, and therefore the detection resolution is improved.

The invention discloses a statistical model of flicker noise and an extraction method thereof. On the basis of an original statistical model, the correlation statistics of devices with different typesand different gate-oxide thicknesses and the influence coefficients of the flicker noise on the statistical coefficients of the devices are added, and then the statistical model parameters of the flicker noise are adjusted, so that the adjusted statistical model of the flicker noise can more accurately characterize the relationship with the flicker noise of the devices.

The invention provides a deep learning-based epidemic prevention information processing method and an epidemic prevention service system, and the method comprises the steps: collecting a to-be-processed personnel traffic scheduling statistical log of a target epidemic prevention traffic scheduling task in response to a noise processing request; on the basis that suspected confusion traffic scheduling information exists in the traffic scheduling statistical log of the to-be-processed personnel, determining a local traffic scheduling statistical content set pointed by the suspected confusion traffic scheduling information; and executing flow modulation statistical noise analysis of a plurality of flow modulation statistical noise types on the local flow modulation statistical content set pointed by the suspected confusion flow modulation information to obtain a flow modulation statistical noise analysis list of the suspected confusion flow modulation information. In this way, during flow modulation statistical noise analysis, analysis results of the suspected confusion flow modulation information relative to multiple flow modulation statistical noise types can be analyzed, so that the possibility of analysis omission of individual flow modulation statistical noise of the suspected confusion flow modulation information is reduced; therefore, the accuracy and the credibility of the flow modulation statistical noise analysis of the suspected confused flow modulation information can be improved.

The invention discloses a holographic positive electron concentration imaging method. The method comprises the steps of labeling a positive electron isotope for an imaging substance; injecting a druglabeled with the positive electron isotope into an animal or the human body, so that the drug is distributed in the animal or the human body; utilizing a Cherenkov event resolution detector for detecting a positive electron event in the animal or the human body; utilizing the Cherenkov event resolution detector for outputting time and space information; counting the time and space information of the Cherenkov event resolution detector, and reconstructing three-dimensional nuclide concentration distribution in the animal or the human body. The method can effectively improve the spatial resolution and sensitivity of the gamma mode PET, is particularly suitable for clinical PET which has a very high requirement for the accuracy and precision, and is widely applied in cancers and cardiovascular diseases. The high spatial resolution and time resolution facilitate improvement of the imaging quality; the high sensitivity facilitates lowering of imaging background noise, and the problem that statistical noise influence is intensified under the high resolution is solved.