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公开(公告)号:US20190012809A1
公开(公告)日:2019-01-10
申请号:US15941179
申请日:2018-03-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yongxiang Li , Lijie Zhang
Abstract: A stereo vision measuring system and measuring method are provided. The system includes a main control device and at least two cooperation devices; each of the cooperation devices is a movable device, and is provided with an image acquiring part; the cooperation device is configured to acquire a first image of a first scene and first image information of the first image and transmit them to the main control device in a calibrating phase, and the cooperation device is further configured to acquire a second image of a second scene and second image information of the second image, and transmit the second image information to the main control device in a measuring phase; the main control device is configured to acquire parameter information of the image acquiring parts in the calibrating phase; the main control device is further configured to obtain three-dimensional reconstruction information of the second scene.
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公开(公告)号:US09888223B2
公开(公告)日:2018-02-06
申请号:US14764909
申请日:2014-11-10
Inventor: Xiao Zhang , Xitong Ma , Shuhuan Yu , Lijie Zhang
CPC classification number: H04N13/139 , H04N13/15 , H04N13/194 , H04N13/30 , H04N2213/007
Abstract: The display processing system according to an embodiment of the present disclosure may include: at least one receiving module, configured to receive source three-dimensional (3D) display data for a source 3D display mode and transmitted in a source data transmission format; a first converting module, configured to convert the source 3D display data into source RGB data; a second converting module, configured to convert the source RGB data into target RGB data for a target 3D display mode; a third converting module, configured to convert the target RGB data into target 3D display data in a target data transmission format; and a transmitting module, configured to transmit the target 3D display data in the target data transmission format to a data driving circuit connected with a display panel.
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公开(公告)号:US09824424B2
公开(公告)日:2017-11-21
申请号:US14771340
申请日:2015-01-04
Applicant: BOE Technology Group Co., Ltd.
Inventor: Lijie Zhang
CPC classification number: G06T3/4007 , G06T3/40 , G06T3/4053 , G06T5/50 , G06T2207/10024 , G06T2207/20064 , G06T2207/20221 , H04N1/3876 , H04N1/6008
Abstract: Embodiments of the disclosure provide an image amplifying method, an image amplifying device, and a display apparatus, and relate to field of image processing technique, the method comprises: obtaining, by an image amplifying device, high-frequency and low-frequency components of a source image; performing, by the image amplifying device, pixel interpolation on the low-frequency components of the source image through a first interpolation algorithm, to obtain a low-frequency sub-image; performing, by the image amplifying device, pixel interpolation on the high-frequency components of the source image through a second interpolation algorithm, to obtain a high-frequency sub-image; and merging, by the image amplifying device, the low-frequency and high-frequency sub-images, to obtain a merged image; wherein the first interpolation algorithm and the second interpolation algorithm adopt different algorithms, so that it can ensure image quality of the amplified image while reducing the operation amount. Embodiments of the disclosure are applied to image amplification.
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公开(公告)号:US20170316548A1
公开(公告)日:2017-11-02
申请号:US15526138
申请日:2016-02-03
Applicant: BOE Technology Group Co., Ltd.
Inventor: Lijie Zhang , Jianmin He , Pablo Navarrete Michelini , Xingxing Zhao
CPC classification number: G06T3/4053 , G06F16/51 , G06F16/56 , G06F16/5838 , G06K9/00624 , G06K9/4604 , G06K9/6202 , G06K9/6269 , G06K9/6274
Abstract: A super-resolution method, a super-resolution system, a user equipment and a server. The super-resolution method includes: training an image sample at a server; obtaining a server-side image database; updating a local image database in a user device by using the server-side image database; and displaying an input low-resolution image as a high-resolution image.
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公开(公告)号:US20150236708A1
公开(公告)日:2015-08-20
申请号:US14361405
申请日:2013-12-20
Inventor: Xitong Ma , Xiao Zhang , Shuhuan Yu , Lijie Zhang
CPC classification number: H03L7/18 , H03L7/0992 , H03L7/183 , H03L7/193
Abstract: A frequency signal generating system comprises a digital phase-locked loop for receiving a source frequency signal; a loop filter for filtering out high frequency components of a signal output from the digital phase-locked loop; and a voltage controlled oscillator for outputting a target frequency signal according to a signal from the loop filter, wherein an output terminal of the voltage controlled oscillator is connected to a first output terminal of the digital phase-locked loop so that the target frequency signal output from the voltage controlled oscillator is fed back to the digital phase-locked loop, the digital phase-locked loop performs frequency-dividing and phase-detecting on the source frequency signal and the fed back, target frequency signal so that the target frequency signal output from the voltage controlled oscillator and the source frequency signal satisfy a definite mathematical relationship therebetween.
Abstract translation: 频率信号发生系统包括用于接收源频率信号的数字锁相环; 用于滤除从数字锁相环输出的信号的高频分量的环路滤波器; 以及压控振荡器,用于根据来自环路滤波器的信号输出目标频率信号,其中压控振荡器的输出端连接到数字锁相环的第一输出端,使得目标频率信号输出 从压控振荡器反馈到数字锁相环,数字锁相环对源频率信号和反馈目标频率信号进行分频和相位检测,使目标频率信号输出 来自压控振荡器和源极频率信号之间的确定的数学关系。
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公开(公告)号:US12190487B2
公开(公告)日:2025-01-07
申请号:US17635263
申请日:2021-04-30
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Guannan Chen , Mengdi Sun , Yan Gao , Lijie Zhang
Abstract: An image processing method, an apparatus, an electronic device and a non-transient computer-readable storage medium. The image processing method includes: acquiring an original image; performing a fuzzy processing to the original image to obtain a fuzzy image; performing a high-dynamic-range image to the original image by using a first network model obtained by pre-training, to obtain a first characteristic matrix, wherein the first network model includes a dense residual module and a gate-control-channel conversion module; obtaining an auxiliary characteristic matrix of the original image according to the fuzzy image, wherein the auxiliary characteristic matrix includes detail information of the original image and/or low-frequency information of the original image; obtaining a target image according to the first characteristic matrix and the auxiliary characteristic matrix.
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公开(公告)号:US12148200B2
公开(公告)日:2024-11-19
申请号:US17419726
申请日:2020-12-29
Applicant: BOE Technology Group Co., Ltd.
Inventor: Yunhua Lu , Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang , Dan Zhu
Abstract: A method for processing an image includes acquiring an input image, performing down-sampling and feature extraction on the input image by an encoder network to obtain multiple feature maps, and performing up-sampling and feature extraction on the multiple feature maps by a decoder network to obtain a target segmentation image. Processing levels between the encoder network and the decoder network for outputting feature maps with the same resolution are connected with each other. The encoder network and the decoder network each includes one or more dense calculation blocks, and at least one convolution module in any dense computation block includes at least one group of asymmetric convolution kernels.
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公开(公告)号:US20240054622A1
公开(公告)日:2024-02-15
申请号:US17754192
申请日:2021-04-27
Applicant: BOE Technology Group Co., Ltd.
Inventor: Guannan Chen , Dan Zhu , Lijie Zhang
CPC classification number: G06T5/007 , H04N1/6019 , G06T7/90 , G06T9/00 , G06V10/44 , G06V10/56 , G06T2207/10024 , G06T2207/20081 , G06T2207/20208
Abstract: The present disclosure provides an image processing method and an image processing apparatus. The image processing method includes: obtaining a to-be-converted SDR image; using a first convolutional network to perform feature analysis on the SDR image, to obtain N weights of the SDR image; where the N weights are respectively configured to characterize proportions of color information of the SDR image to color information characterized in preset N 3D lookup tables, the N 3D lookup tables are configured to characterize color information of different types; obtaining a first 3D lookup table for the SDR image according to the N weights and the N 3D lookup tables; using the first 3D lookup table to adjust the color information of the SDR image to obtain an HDR image; and using a second convolutional neural network to perform refinement correction on the HDR image to obtain an output image.
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39.
公开(公告)号:US11854248B2
公开(公告)日:2023-12-26
申请号:US17417127
申请日:2020-12-29
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor: Yanhong Wu , Guannan Chen , Lijie Zhang
IPC: G06V10/82 , G06V10/77 , G06V10/774 , G06V10/776 , G06V10/764 , G06N3/045
CPC classification number: G06V10/82 , G06N3/045 , G06V10/764 , G06V10/774 , G06V10/776 , G06V10/7715
Abstract: The present disclosure provides an image classification method, apparatus, and device, and a readable storage medium. The image classification method includes: processing an image to be processed, by using a first convolutional network, to obtain a first feature map; processing the first feature map, by using a residual network, to obtain a second feature map, wherein the residual network includes a depth separable convolutional layer; and processing the second feature map, by using a second convolutional network, to determine a category label of the image to be processed.
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公开(公告)号:US11830107B2
公开(公告)日:2023-11-28
申请号:US17434381
申请日:2021-02-09
Applicant: BOE Technology Group Co., Ltd.
Inventor: Yanhong Wu , Lijie Zhang
CPC classification number: G06T11/001 , G06T5/20 , G06T7/90 , G06T2207/10024 , G06T2210/62
Abstract: Embodiments of the present disclosure provide a method and apparatus for filtering image colors, an electronic device and a storage medium. The method includes: acquiring an image to be filtered, wherein a pixel point in the image to be filtered is represented by a hue value, a saturation value and a value; acquiring a retaining proportion of the pixel point in the image to be filtered, wherein a retaining proportion of any pixel point is used to indicate a degree of a saturation of the pixel point to be retained, and is positively correlated with a similarity between a hue of the pixel point and a hue to be retained of the pixel point; and acquiring a filtered image by adjusting the saturation value of the pixel point in the image to be filtered based on the retaining proportion of the pixel point in the image to be filtered.
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