90results about How to "Eliminate smearing" patented technology

The embodiment of the invention provides a method for controlling gray scales, a gray scale control device and a liquid crystal display (LCD). The LCD comprises a plurality of pixels. The method comprises the following steps: acquiring luminance (L0) of the pixels at the end time of a current frame; according to the luminance (L0) at the end time of the current frame, acquiring drive gray scales of the pixels at a target frame, wherein the target frame is the next frame of the current frame; and outputting the drive gray scales out of the target frame, wherein the drive gray scales enable actual luminance of the pixels at the target frame to be equal to target luminance (L1) of the target frame and the target luminance (L1) can reach an expected value of human eyes, and the actual luminance is the luminance generated by integration of gray scale response time curves corresponding to the drive gray scales to times. Within the time of one frame, the gray scales are integrated to obtain the actual luminance of the target frame. Because the feeling of the human eyes for lights during a period is an average effect during the period, namely, the expected value of the human eyes, the actual luminance generated by adjusted drive gray scales can reach the expected value of the human eyes, thus being capable of eliminating smearing happening in the process of switching pictures.

The invention relates to an optimal active time-reversal focusing method based on iterative least square / pre-filtering. The method comprises the following steps: 1) sending source signals by a guide sound source, and conducting the operations of receiving, time-reversal and re-sending by a time-reversal array according to the conventional active time-reversal process, so as to acquire focusing signals at the location point of the sound source, wherein the source signals are wideband pulse signals with the bandwidth being 20Hz to 200kHz and the frequency range being within an audible sound or ultrasound frequency band range; 2) estimating a plurality of cascaded pre-filter time-domain responses used for carrying out the filtration treatment on the source signals on the basis of the iterative least square rule by combining the source signals and the focusing signals; and 3) re-sending the pre-filtered source signals by the guide sound source, and carrying out the operations of receiving,time-reversal and re-sending by the time-reversal array according to the conventional time-reversal process, so as to acquire the optimal focusing signal waveform at the location of the sound source.The invention can achieve the inverse-filtering and focusing effects within the time domains and recover the waveform of the source signals within the focusing region; the invention allows the randomdistribution of array elements and the difference in the frequency response among the array elements; and the invention has high spatial resolution.

The present invention relates to a method and apparatus for performing motion adaptive frame averaging for ultrasound color flow images used to overcome lag and smearing alias of color due to motion. One embodiment of the present invention comprises an ultrasound machine for generating an color flow imaging responsive to moving tissue. The ultrasound system comprises a front end and at least one processor. The front-end is arranged to transmit ultrasound waves into the moving tissue, generating received signals in response to the ultrasound waves backscattered from the moving tissue. The processor is responsive to the received signals, calculating a motion factor by comparing at least one current b-mode frame with at least one previous b-mode frame, determining motion using at least the motion factor, increasing a level of frame averaging if the motion factor is below a first predetermined threshold, and decreasing the level of frame averaging if the motion factor is above a second predetermined threshold.

The invention relates to an optical fiber communication system, optical interconnection and a photoelectric detector, and in order to provide the photoelectric detector which is high in PN-joint photodiode responsibility, wide in intrinsic bandwidth, and capable of achieving full differential output and to improve the overall performance of a standard CMOS technological monolithic integration photo receiver, the photoelectric detector of a spatial modulation structure is characterized in that a shallow groove separation area is manufactured on a P-type substrate, photodiodes and shading diodes are arrayed in the shallow groove separation area at intervals, the photodiodes are formed by N-type well regions with medium dosage concentration and the P-type substrate, the shading diodes are formed by N-type well regions with medium dosage concentration, the P-type substrate and a second interconnected metal layer, N-type well contact areas with heavy dosing are sequentially arranged on the N-type well regions with the medium dosage concentration, and P-type substrate contact areas with heavy dosing are arranged on the periphery of the N-type well regions with the medium dosage concentration. A preparation method of the photoelectric detector is mainly applied to design and manufacturing of photoelectric detectors.

The invention discloses a driving method of a liquid crystal display panel. The driving method comprises the steps that all picture frames in display contents are obtained, wherein each picture frame comprises a charging sub-picture frame and a display sub-picture frame; all the picture frames in the display contents are sequentially driven, wherein a driving step of each picture frame comprises the sub-steps of driving the charging sub-picture frames of the picture frames and turning on corresponding backlight modules; the display sub-picture frames of the picture frames are driven, and the corresponding backlight modules are turned off. By adopting the driving method of the liquid crystal display panel, the picture smearing phenomenon is effectively eliminated by dividing the picture frames into the charging sub-picture frames and the display sub-picture frames and turning off the backlight modules at a charging sub-picture frame stage.

The invention discloses an LED backlight scanning control method and device for a liquid crystal display. The control method comprises: a step 1 of resetting and starting a delay counter when it is detected that a frame writing signal STV is enabled; a step 2 of resetting and starting a row synchronous counter when the delay counter overflows, and turning on a first light bar when the row synchronous counter overflows; automatically resetting and restarting the row synchronous counter, and turning off the first light bar and turning on a second light bar when the row synchronous counter overflows again; repeating the process and sequentially turning off a prior light bar and turning on a next light bar; and repeating the step 1 and the step 2. The device comprises a liquid crystal panel, an LED backlight light source, a backlight address counter, a backlight address decoder and a switch array module. The liquid crystal panel is divided into a plurality of pixel regions. The LED light source includes a plurality of LED backlight light bars in one-to-one correspondence with the plurality of pixel regions. The method and device provided by the invention has the advantages that: the ghosting phenomena of moving images are completely eliminated, the energy efficiency of the backlight light source is improved, and the flicker of backlight scanning is prevented.

The invention relates to a method for relieving image smearing and image track phenomena, which comprises: when a plurality of frames are displayed on the screen, cutting each gamma curve which controls the brightness of the frames into two gamma curves according to a preset grey-scale value for displaying two corresponding sub-frames which are different in brightness; and correcting the grey-scale value curves of a single frame and a frame received previously for eliminating the image smearing and image track phenomena at the same time when two frames with a large grey-scale value differenceare output continuously. The invention also provides a displayer for relieving the image smearing and image track phenomena.

The invention relates to a wet method desulfurizing white smoke trailing treatment device and method. The treatment device comprises a booster fan, a desulfurizing tower, a reducing pipeline, a branch pipe network, a cooling water tank, a water collection tank, a draining pump, a valve, a chimney and a pipe. Flue gas is subjected to desulphurization in the desulfurizing absorbing tower through the booster fan, reducing is carried out through the pipe, then the flue gas goes into the water tank, heat radiation cooling exchange is carried out in the water tank through the branch pipe network, the temperature of the wet flue gas is lowered to about 40 DEG C from original about 55 DEG C, thus excess saturated vapor in the flue gas is condensed, the condensed water goes into the water collection tank and returns to the bottom of the desulfurizing tower for reuse, and the cooled flue gas is collected through the reducing pipe, goes into the chimney and is discharged. The excess water content in flue gas can be lowered, saturated vapor waste water is recovered, the desulfurizing tower white smoke trailing problem is solved effectively, the situation that residues in flue gas cannot pollute water resources is ensured, and secondary water treatment is avoided.

The invention discloses a monocular scene depth prediction method based on deep learning. The method is suitable for monocular pictures or videos, a calibrated binocular color image pair is used for training a depth prediction model, a DenseNet convolution module is used for extracting a feature space in a network architecture, and dense blocks and transition layers in the feature space are used,so that each layer in a network is directly connected with a front layer of the network, and repeated utilization of features is realized; binocular matching loss improvement, a depth prediction problem is regarded as an image reconstruction problem; the method comprises the steps of sampling an input left viewpoint color image and a disparity image to generate a virtual color image and a disparity image, and restraining the consistency of the generated virtual view and a correspondingly input right viewpoint image on an RGB level and a disparity level by utilizing a stereo matching algorithmof a binocular image pair, thereby obtaining a better depth; the depth smooth loss is improved, the high-quality dense depth map can be generated, the artifact problem caused by shielding in monocularscene depth prediction is effectively solved, and the 2D-to-3D conversion requirements of multiple indoor and outdoor real scenes can be met.

The invention provides a moving target detection method and device, equipment and a readable storage medium. The method comprises the steps of obtaining a video sequence frame image; performing movingtarget detection on the current frame image by adopting a Gaussian mixture model to obtain a first moving target binary image and a current frame background image; performing moving target detectionaccording to the current frame of background image and the five frames of images corresponding to the current frame of image by adopting an improved five-frame difference algorithm to obtain a secondmoving target binary image; performing OR operation on the first moving target binary image and the second moving target binary image to obtain a total moving target binary image; and performing morphological processing on the total moving target binary image to obtain a moving target. The moving target detection accuracy of the improved five-frame difference algorithm is improved, the existing smear problem is basically eliminated, or operation is carried out on the moving targets detected by the two algorithms to obtain all the moving targets detected by the two algorithms, and the detectedmoving targets can have complete contours.

The invention discloses a TDI (Time Delay Integration) scan imaging method for a Snapshot type area array infrared detector. An optical mechanical scanning mechanism is arranged in front of an area array type infrared focal plane array, and the movement of an image is controlled by optical mechanical scanning. The shifted image obtained by the infrared focal plane array is input to a data accumulation processing circuit, and the image shifting accumulation processing is carried out to obtain the required image. The data accumulation processing circuit is mainly composed of a sampling circuit and a digital processing circuit. An AD (Analog-to-Digital) device is controlled by an FPGA (Field Programmable Gate Array) to perform sampling to finish the analog-to-digital conversion. After the analog-to-digital conversion is finished, a digital image signal is input to the digital processing circuit, the digital processing circuit performs image shifting accumulation, and finally the required image is output. The TDI scan imaging method for the Snapshot type area array infrared detector eliminates the trailing phenomenon caused due to the rotation of the detector when the area array detector is used in a search system, increases the signal-to-noise ratio of the image and is favorable for timely discovering a small dim target in a target searching and tracking system.