122results about How to "Reduce random noise" patented technology

An electronic endoscope system which captures an image of an object and displays the same on a display device is provided with a noise reduction system. The noise reduction system reduces noise included in a frame of an image signal for each color component. The noise-reduced color components are stored in a buffer, and then output as a video signal to be transmitted to a display where a color image of the object is displayed.

A medication dispensing device comprising a housing having an enclosure configured to provide direct access to a current medication container storing medication to be dispensed. The device includes a plurality of bins, each bin configured to receive and store therein a medication container within a bin seat. Additionally, the device includes a scale assembly, within the housing, configured to automatically lift the medication container from the bin seat, weigh the medication container at least once and lower the medication container into the bin seat during a weighing cycle.

The invention relates to a method for measuring currents in a motor controller. Some current sensing devices placed on the motor wires or inside the motor controller provide low amplitude output signals thus complicating sampling and data processing. In order to improve the signal/noise ratio, an oversampling technique is disclosed which makes used of a differential transmission of the output signal. Further, by applying intelligent sorting techniques on the sampled data, a substantial improvement in the signal/noise ratio can be obtained. The invention also concerns a motor controller using this method, and discloses the use of a power card and a control card, where the current sensing device is placed on the power card and a differential amplifier is placed on the control card. The gain of the differential amplifier is controlled by components placed on the power card as well as on the control card.

Seismic traces of 3D surveys are interpolated using polynomials in 4D space from a less densely sampled real data set of source points S(x,y) and receiver points R(x,y). Input seismic traces should be pre-processed by normal move out (NMO) and static corrections. Input traces contributing to each single interpolated trace are chosen from a selected number of traces closest to each interpolated trace in 4D space. The methodology in accordance with the invention is designed to minimize computational load. The amplitude of an interpolated trace is modeled with a two-term Amplitude vs. Offset (AVO) formulation.

A method for video filtering of an input video sequence by utilizing joint motion and noise estimation comprises the steps of: (a) generating a motion-compensated video sequence from the input video sequence and a plurality of estimated motion fields; (b) spatiotemporally filtering the motion compensated video sequence, thereby producing a filtered, motion-compensated video sequence; (c) estimating a standard deviation from the difference between the input video sequence and the filtered, motion-compensated video sequence, thereby producing an estimated standard deviation; (d) estimating a scale factor from the difference between the input video sequence and the motion compensated video sequence; and (e) iterating through steps (a) to (d) using the scale factor previously obtained from step (d) to generate the motion-compensated video sequence in step (a) and using the estimated standard deviation previously obtained from step (c) to perform the filtering in step (b) until the value of the noise level approaches the unknown noise of the input video sequence, whereby the noise level is then characterized by a finally determined scale factor and standard deviation.

The invention provides a facial image conversion method based on a cycle generative adversarial network. The main content of the method comprises a Wasserstein generative adversarial network (WGAN), astructural similarity (SSIM) loss, background subtraction method and face mask and a generative adversarial network (GAN). The method comprises the steps of using a generator network and a discriminator network to compete against each other, forming the cycle GAN by using a traditional GAN loss function and a new cyclic consistency loss function, improving the WGAN, improving the training of the GAN through loss, matching the SSIM loss and brightness, contrast and structural information of a generated image and an input image, inputting a binary mask and the images during training, and applying an element product to reconstruct the loss. According to the method, the cycle generative adversarial network is used, the method has higher consistency and stability in converting facial expressions, facial details and edge details can be processed well, and thus a converted image is more natural and more realistic.

In the ultrasonic inspection method and equipment, a high-resolution and high-S/N-ratio inspection image can be speedily acquired with ease-of-operability. Inspection of the inside of the inspection target is performed by changing incident angle of the ultrasonic wave oscillated from the array-probe ultrasonic sensor. Then, while performing the inspection, the array-probe ultrasonic sensor is sequentially displaced from the position to the position via the position by using the displacement member. This displacement allows acquisition of inspection images on each position basis. Finally, the inspection images thus acquired are visualized as a processed image by adding or averaging the inspection images by shifting the images by displacement quantity of the array-probe ultrasonic sensor.

Provided is a coordinate input device including: a coordinate input unit having a plurality of first detection electrodes and a plurality of second detection electrodes; an electrode drive circuit that applies a drive signal to one or more of the detection electrodes; a capacitance detection circuit that detects a capacitance of the first and/or second detection electrode; means for selecting one or more of the detection electrodes to which the drive signal is not applied from among the detection electrodes which are disposed in parallel to the detection electrodes to which the drive signal is applied, as a reference electrode; means for detecting a capacitance of the selected reference electrode; means for correcting a capacitance detection result of the capacitance detection circuit on the basis of the detected capacitance of the reference electrode; and an input coordinate computing circuit that calculates an input coordinate from the corrected capacitance detection result.

A signal filtering technique is designed to remove the effects of a periodic, low-frequency noise signal from a signal of interest. A signal waveform is sampled at different points of a number of consecutive periodic noise signal cycles and the collected samples are averaged to produce a corrected signal. The number of consecutive cycles in which samples are taken and averaged is inversely related to the signal amplitude such that as the signal level decreases, the number of cycles examined increases. The technique is particularly applicable to periodic signals associated with the output of Hall effect sensors in an electrical metrology environment. Improved RMS calculations are obtained for filtering low-frequency random noise from Hall sensors by averaging samples at different points of a signal cycle to create a composite desired signal cycle to facilitate other signal calculations. In a given electricity utility meter incorporating solid state circuitry, such metrology RMS calculations may be implemented in a metrology section of solid state devices provided on printed circuit boards, such as utilizing programmable integrated circuit components. By varying the number of cycles summed, the algorithm will adapt to amplitude changes more quickly. By using time averaged samples to filter random noise from the periodic signal of interest, the overall requirements for complex filtering is reduced. Instead, the technique relies on buffering and averaging synchronized samples for a given number of line cycles, so that by increasing the buffer size, larger numbers of line cycles can be accumulated and the filter cut-off frequency reduced.

For analog to digital conversion with correlated double sampling in an image sensor, a pixel signal from a given pixel is sampled to generate a respective sampled signal N-times, with N>1 within a horizontal scan time period. A ramp signal is generated with a respective ramping portion for each respective sampled signal. Each respective sampled signal is compared with a respective ramping portion to generate a respective comparison signal that determines a respective digital code. The N respective digital codes are summed to generate a final digital code with reduced random noise.

The invention discloses a measuring method for an attitude angular velocity of a spacecraft based on a star sensor. The invention aims to solve the problem that the precision of a traditional method is seriously influenced by a measurement error of the star sensor. According to the technical scheme, the measuring method comprises the following steps of: reading a star map at an initial moment t0,thereby obtaining a measuring vector of the star sensor at t0 and navigating star information; supposing t=t0+deltat; reading the star map at the moment t; performing star point extraction and sequence star map identification, and numbering navigating stars simultaneously appearing in a previous frame map and a present frame map, thereby obtaining the total number n of the navigating stars simultaneously appearing at the moment of t minus deltat and t and a corresponding set omega1 of measuring vector pairs of the star sensor; initializing a Kalman filter, estimating the attitude angular velocity of the spacecraft and resetting an initial value of the filter; and supposing t=t+deltat, and repeating the steps of reading the star map at the moment t, performing star point extraction and sequence star map identification, numbering navigating stars and obtaining n and omega1. According to the measuring method, the influence of random noise of the measurement of the star sensor on the estimation of the attitude angular velocity can be eliminated and the measuring precision can be increased.

A method of processing noise in image data by an image processor having a signal-processing portion converting an image signal from an image sensor into a digital signal and outputting the converted signal as image data for each frame, the image data indicating sets of pixel values each having a brightness at a corresponding one of coordinate points arranged in directions of rows and columns is disclosed. The method includes the steps of: extracting pixel values; deciding pixel value; finding autocorrelation coefficients of pixel values which are less than a first threshold value; and deciding random noise in the image.

The invention discloses a distance measurement method for a power distribution network single-phase earth fault on the basis of aerial mode traveling wave mutation. The method includes the following steps that (1) the same voltage pulse is simultaneously injected to three phases of a head end of a power distribution network, and voltage traveling waves returned from the three phases are detected; (2) the voltage traveling waves of each phase, which are obtained in the step (1), are transformed to modulus by a phase-mode transformation matrix, and further, aerial mode voltage traveling waves are obtained; (3) the aerial mode voltage traveling waves obtained in the step (2) are subjected to difference derivation to obtain first nonzero mutational point time, and thereby, travel time of the traveling waves can be obtained; (4) the travel time obtained in the step (3) is substituted into a distance measurement formula to obtain fault distance. According to the method, high voltage pulse is simultaneously injected to the three phases of the head end to detect aerial mode voltage traveling wave mutation so as to perform fault distance measurement, and thereby, the problem of fake fault points caused by unbalance three-phase loads of the distribution network is solved.

The invention discloses a star image point position extracting method for a star sensor. The method comprises the following steps of: forecasting a star image point position in a current star map according to a star image point position in a star map of a previous frame and an instantaneous speed; acquiring a measured value of the star image point position by adopting a facet-based star image point position extracting method; and finally, constructing a Kalman filter by using a forecasting value and the measured value of the star image point position as inputs, and acquiring a final star image point position. The star image point position in the current star map is forecasted by using the star image point position in the star map of the previous frame and the instantaneous speed so as to effectively improve the start extracting speed; the star image point position is updated by using the Kalman filter so as to effectively reduce random noise and further improve the measurement precision; and the measurement precision of the method can be improved by 2.4 times compared with a traditional method.

A solid-state imaging device as defined herein, in which each of the signal reading circuits for reading the detection signals of the first-color pixels includes three transistors which are a reset transistor, a row selection transistor, and an output transistor; and each of the signal reading circuits for reading the detection signals of the second-color pixels and each of the signal reading circuits for reading the detection signals of the third-color pixels include four transistors which are a read transistor, a reset transistor, a row selection transistor, and an output transistor

A four-channel atmospheric polarization information testing sensor signal processing and compensating method, characterized in utilizing a method of step by-step signal processing, comprises: performing step by-step processing to real-time dynamic testing data from the four-channel atmospheric polarization information testing sensor, in the step by-step processing process, through two classifying compensation method of hard compensation and soft compensation, performing signal compensation and matching to error and noise of sensor step by-step signal, so as to obtain effective coherence compensation and suspension to drift error component and amplitude error of each channel signal of the sensor caused by different signal response and transmission characteristics of each channel step by-step physical device, and the random noise caused by the physical noise and environment optical noise of the sensor, therefore effective sensor output is obtained. Through performing atmospheric polarization mode information processing to the obtained digital electric signal, therefore the accurate, reliable atmospheric polarization mode information is obtained.

A solid-state image pickup device includes a pixel including a photoelectric conversion element that converts light into an electric signal, a feedback amplifying circuit that amplifies a signal of the pixel using an amplification factor that is based on a variable feedback capacitor, a storage capacitor connected to an output node of the amplifying circuit via a first switch, and a load element connected to the output node of the amplifying circuit via a second switch. The second switch is in an on state during any one of or both of a period in which the feedback capacitor is reset and a period in which the first switch is in an on state.

Seismic survey data is processed to simultaneously attenuate noise and interpolate the data. A frequency slice of one of a plurality of overlapping subvolumes formed from the seismic survey data is selected. A noise reduced, interpolated frequency slice is generated by jointly minimizing a nuclear norm of a trajectory matrix data corresponding to the desired data and an L₁ norm of erratic noise in the selected frequency slice. The noise reduced and interpolated frequency slice is combined with at least one other frequency slice to produce a noise reduced, interpolated frequency subvolume of the surveyed area. The noise reduced, interpolated frequency subvolume is combined with at least one other noise reduced, interpolated frequency subvolume to produce noise reduced, interpolated seismic data of the surveyed area.

Methods, metrology modules and target designs are provided, which improve the accuracy of metrology measurements. Methods provide flexible handling of multiple measurement recipes and setups and enable relating them to landscape features that indicate their relation to resonance regions and to flat regions. Clustering of recipes, self-consistency tests, common processing of aggregated measurements, noise reduction, cluster analysis, detailed analysis of the landscape and targets with skewed cells are employed separately or in combination to provide cumulative improvements of measurement accuracy.

A distance measurement method for a power distribution network ground fault based on the zero-mode travelling wave difference comprises the following steps: (A) injecting high voltage pulses into fault phases of the head end of a power distribution network, detecting voltage travelling waves returned by the three phases, and obtaining first zero-mode voltage travelling wave data with the voltage travelling waves returned by the three phases through phase-mode transformation; (B) injecting high voltage pulses consistent with the high voltage pulses in the step (A) into a certain healthy phase of the head end of the power distribution network, detecting travelling waves returned by the three phases, and obtaining second zero-mode voltage travelling wave data with the travelling waves returned by the three phases through phase-mode transformation; (C) conducting subtraction on the first zero-mode voltage travelling wave data obtained in the step (A) and the second zero-mode voltage travelling wave data obtained in the step (B) to obtain difference data; (D) conducting different derivation on the difference data obtained in the step (C) to obtain a first non-zero mutational site moment, and then obtaining propagation time of the travelling waves; (E) substituting the propagation time obtained in the step (D) into a distance measurement formula to obtain a fault distance.