38results about How to "Avoid motion blur" patented technology

An accurate high-speed moving vehicle mark identification method based on video belongs to a calculation processing method adopting image and mode identification technology to realize vehicle detection and vehicle mark identification. The present invention mainly comprises five function modules, namely a video camera control module, a motion detection module, a vehicle snapshot module, a vehicle positioning module and a vehicle identification module. The present invention acquires a real-time video image through a camera system, judges whether a vehicle passes by processing the video image, judges the motion direction of the vehicle according to motion characteristics, segments a picture of the moving vehicle from an image sequence, positions a vehicle mark through vehicle texture features, and performs classification identification to a vehicle head mark or a vehicle back mark by utilizing vehicle mark features before and after. The present invention can solve the vehicle model and vehicle mark identification of high-speed running vehicles, especially the identification of vehicle back marks.

The invention relates to a video dynamic super-resolution processing method and system. The processing method comprises the steps of obtaining a motion vector of any pixel in a current to-be-processed frame according to motion estimation and calculating reliability degree of the motion vector; extracting the corresponding pixel of the pixel in a former high-resolution frame according to the motion vector of the pixel and carrying out Kalman filtering processing according to the corresponding pixel, thereby obtaining a first processing result; carrying out interpolation processing on the to-be-processed frame to obtain a second processing result; and carrying out weight fusion on the first processing result and the second processing result through utilization of the reliability degree, thereby obtaining a super-resolution frame after fusion. According to the method and the system, the problems of protecting edge information well and improving image edge sawteeth are realized; more image details are restored effectively on the condition of not increasing excessive extra time cost; moreover, relatively high robustness is achieved; and disorder of a super-resolution result or motion blurring resulting from inaccurate motion estimation is avoided.

An improved temporal noise reduction method and system detects the global motion and adjusts the overall gain of the temporal filtering. Temporal noise reduction is applied to two video frames, wherein one video frame is the current input noisy frame, and the other video frame is a previous filtered frame stored in memory. In this method, noise estimation is first performed to estimate the noise variance/standard deviation in the input video sequence. Then, motion estimation is applied to obtain the motion vectors indicating relative motion between the pixels in the current noisy frame and the corresponding pixels in the previous noise-reduced frame. From such motion vectors, global motion estimation is applied to estimate the camera motion of the video sequence. If reliable global motion is obtained, the overall gain of the temporal filtering is reduced by adjusting the estimated noise level. Motion blur is thus prevented.

A method for improving SNR without reducing dynamic range in a CMOS video sensor system under low illumination is described, wherein the CMOS video sensor system employing self-reset DPS architecture includes pixel level A/D conversion and wherein each DPS pixels is capable of resetting itself whenever a corresponding diode reaches saturation during integration time, the method comprising the steps of eliminating global frame reset for the self-reset DPS pixels, capturing and storing a plurality of frames, extending integration time beyond frame readout time, and generating frame images using one or more previously stored frames.

An image processing device according to the present invention includes a motion vector detecting unit, a response time information storage unit, a compensation processing unit and an output unit. The motion vector detecting unit detects a motion vector of image data. The response time information storage unit stores response time information representing a time since a driving voltage is applied to a display device until an image with a corresponding tone is displayed in association with a tone variation value. The compensation processing unit compensates a pixel value in image data for each pixel in a frame that is one frame ahead of a frame to be displayed, based on the image data, the motion vector and the response time information. The output unit outputs the image data after compensated by the compensation processing unit to the display device.

The invention provides a direct-type backlight unit and a driving method thereof and a liquid crystal display device, and relates to the technical field of display. The direct-type backlight unit is used for improving the contrast ratio of an image displayed by a liquid crystal panel and preventing the occurrence of a motion blur phenomenon. The direct-type backlight unit comprises a baseboard, multiple driving units arranged on the baseboard and multiple light-emitting elements arranged on the baseboard, wherein each driving unit is correspondingly connected with one light-emitting element, and the driving units are used for controlling the light-emitting duration and the light-emitting luminance of the corresponding light-emitting elements. The direct-type backlight unit is used for providing backlight for the liquid crystal panel.

The invention provides a data acquisition method and a tunnel inspection car, and belongs to the technical field of imaging detection. The data acquisition method is applied to the tunnel inspection car, and the tunnel inspection car comprises a control device and at least one group of imaging devices, wherein the at least one group of imaging devices are electrically connected with the control device. The method comprises the following steps: controlling the at least one group of imaging devices to reciprocate along a preset trajectory by the controller; and when the moving direction of the imaging devices is opposite to the direction of travel of the tunnel inspection car, and the difference between the motion velocity of the imaging devices and the motion speed of the tunnel inspection car is within a preset range, controlling the imaging devices to acquire image data of a tunnel inner wall by the control device. The scheme of the invention can effectively avoid the motion blur generated by the acquired images of the tunnel inner wall, so as to improve the image acquisition efficiency of the tunnel inspection car and meanwhile improve the quality of the acquired images.

Methods of processing a frame in a video sequence of digital images are described, the methods comprising: determining a global motion vector for the frame relative to a previous frame in the sequence; deriving a jitter function from the global motion vector, the jitter function comprising an estimate of undesired motion of the frame relative to the previous frame; determining whether the frame is blurred above a first predetermined threshold; and if so, stabilising the frame using the jitter function and applying a deblur function to the frame.

The invention relates to a visual inspection system for bullet casings, which comprises a bullet casing rotary feeding mechanism, a visual inspection part, a rotary conveying mechanism, and a material distribution mechanism. The lower part is provided with a bullet casing distribution box; the bottom of the bullet casing distribution box is provided with a bullet casing transmission belt; the visual detection part includes an industrial computer and a PLC control module, and the PLC control module is connected with a bullet casing rotary feeding mechanism, a rotary conveying mechanism, The industrial camera and the material distribution mechanism; the industrial computer and the PLC control module are provided with signal lines to connect with each other. The cartridge case visual automatic detection system of the invention greatly improves the accuracy of product detection and reduces the outflow of unqualified cartridge cases.

The invention discloses a fluorescence image deconvolution method and system based on depth neural network, The implementation of the method includes: the original image of the fluorescence microscopewith fast continuous exposure is acquired, After preprocessing, the redundancy degree of multi-frame fluorescence images on time axis is obtained. According to the relation between redundancy degreeand preset threshold, the deconvolution strategy of single-frame fluorescence image or multi-frame fluorescence image is selected to establish the energy functional of deconvolution, and the optimization of energy functional is divided into several sub-problems. Fourier transform is used to solve the de-ambiguation subproblem. For the de-noising subproblem, the variance-stabilized transform is first performed, then the de-noising is performed by the de-noising neural network, and the image is restored by the inverse transform of the variance-stabilized transform. The two subproblems are iterated alternately. By introducing the denoising neural network into the deconvolution process instead of designing the regular term manually, a clearer fluorescence image can be restored.

The invention provides a denoising method and a device for processing an image. In the method for processing the image, firstly, a current image is received, wherein the current image has a plurality of image blocks; and then a first block of the image blocks in the current image is subtracted by at least one first block in the prior image so as to obtain a difference value block. The difference value block is subjected to movable detection so that whether the first block in the current image is in the static state is judged. When the first block in the current image is in the static current, the time domain filtering process is performed to remove the noise. The analysis of the static state reduces the existence of a movable ghost.

An X-ray imaging apparatus with an interferometer (IF) and an X-ray detector (D). A footprint of the X-ray detector (D) is larger than a footprint of the interferometer (IF). The interferometer is moved in scan motion across the detector (D) whilst the detector (D) remains stationary. Preferably the detector is a 2D full field detector.

The present invention relates to an organic light emitting display, and an aspect of the invention is to minimize the phenomenon of reduction in luminance of the organic light emitting diode display, by dividing an analog data to a positive data and a negative data, applying the same data with different polarities to the control electrode of a driving transistor, and preventing the deterioration of threshold voltage of the driving transistor.

For this purpose, the present invention discloses an organic light emitting display including a frame memory that stores data of one or more frames, doubles the frequency of the frame data, and repeatedly outputs the frame data; a look-up table memory that divides the frame data doubled and outputted from the frame memory, into two digital input signals such as a positive data and a negative data, and outputs the data; and a digital-analog converter that receives the positive data and negative data outputted from the look-up table memory, converts the data to analog data, and outputs the analog data.

The embodiment of the invention provides an image processing method and device, and relates to the technical field of image processing. According to the embodiment of the invention, a static image andan image subjected to MEMC processing can be respectively displayed; and thus, influence of MEMC processing on display of the static image is avoided. The method comprises the steps of: obtaining video data to be displayed and the static image corresponding to the video data to be displayed; and, displaying the static image in a first display area, and displaying an image corresponding to motionenhancement video data in a second display area, wherein the motion enhancement video data is generated by MEMC processing on the video data in the video data to be displayed and used for displaying the image in the second display area; the second display area comprises the area in a display screen, except the first display area; and the first display area is the pre-set area in the display screen. The image processing method and device in the invention are applied to image processing and displaying.

An apparatus and a method for increasing the movement speed of the rail vehicle while carrying out measures for controlling weeds on track systems. A rail vehicle equipped with an apparatus for increasing the movement speed of the rail vehicle while carrying out measures for controlling weeds on track systems.

The invention relates to a building structure displacement measurement method based on a dynamic visual sensor (DVS), which belongs to the field of visual measurement, and comprises an event stream processing method: intercepting event streams in a short period of time by adopting a method of accumulating according to time, and accumulating the event streams into pictures to be output; image de-noising: if some noisy points may exist in the image accumulated by the event stream, carrying out de-noising by adopting mean filtering; edge detection: carrying out automatic threshold segmentation on the denoised image, and extracting the edge of a target circle by adopting an improved adaptive threshold canny operator; positioning a circle through Hough transform: positioning the circle through Hough transform based on gradient information, and filtering out miscellaneous circles according to the radius and position of the circle; and scale transformation: converting the pixel displacement into physical displacement according to the millimeter/pixel conversion factor. The dynamic vision sensor is adopted, the problem of motion blur caused by an RGB camera is solved, the data size is small, the processing speed is high, and the direction is provided for monitoring the displacement of the building structure in real time.

The invention provides a display method and electronic equipment, a VR (virtual reality) device provides different resolutions and refresh rates for different applications, the VR device preferentially meets the resolution requirement when outputting a display picture for the applications with relatively high resolution requirements, and the VR device can preferentially meet the display picture when outputting the display picture for the applications with relatively high refresh rate requirements. The VR equipment preferentially meets the refresh rate requirement when outputting the display picture, so that a solution is provided for improving the visual experience of a user.

The invention provides a control method of a capsule endoscopy. The control method comprises the steps of controlling multiple rows of pixels in an image sensor to start integration at the same momentafter a row synchronizing signal is detected, controlling an illumination module to illuminate in an exposure time period, controlling multiple rows of the pixels to finish integration row by row, and finally, sequentially reading out integration data of each row of the pixels based on a finishing sequence of row-by-row integration of multiple rows of the pixels. According to the control method,multiple rows of the pixels in the image sensor are opened together and integrated at the same moment, so that compared with a scroll exposure control manner, the whole exposure period of the image sensor is shortened, and motion blur can be effectively avoided. The invention further relates to the capsule endoscopy controlled by virtue of the control method.

The invention relates to an image processing method and device, electronic equipment and a computer readable storage medium, and the image processing method comprises the steps: dividing a reference image and a non-reference image into more than one image block, carrying out the frequency domain transformation of each reference image block in the reference image, and obtaining each reference frequency domain image block, performing frequency domain transformation processing on non-reference image blocks matched with the reference image blocks in the non-reference image to obtain non-reference frequency domain image blocks; determining a correction parameter corresponding to each reference frequency domain pixel point according to the frequency band corresponding to each reference frequency domain pixel point in each reference frequency domain image block, and adjusting a fusion weight between each reference frequency domain pixel point and a corresponding non-reference frequency domain pixel point by using each correction parameter; and performing fusion processing according to the adjusted fusion weight to obtain a de-noised image commonly corresponding to each to-be-processed image. The method can improve the image denoising effect.

The invention discloses a dynamic target ghost imaging system and method based on a neural network. The system comprises an illumination laser light source, a spatial light modulation module, a light intensity detection and acquisition module and a data processing module. The method comprises the following steps: firstly, loading a Fourier mode matrix on a spatial light modulation module to carry out Fourier base modulation on emergent light of a laser light source, and projecting modulated mode light to a scene where a moving target is located; then, enabling the light intensity detection and acquisition module to acquire light intensity from a target scene to realize image information acquisition based on Fourier ghost imaging; and inputting the acquired light intensity sequence into a Fourier ghost imaging neural network through a data processing module to obtain a corresponding target prediction map, and outputting a reconstructed moving target imaging result to realize high-resolution imaging of a moving object. According to the method, the imaging quality of the moving object can be improved, high-resolution imaging of the moving object in a scattering scene is realized, and motion blur caused by high-speed motion in a ghost imaging recovery image is avoided.