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公开(公告)号：US20240202983A1
公开(公告)日：2024-06-20
申请号：US17907012
申请日：2021-12-28
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Guannan Chen , Hanwen Liu
CPC classification number: G06T11/00 , G06T5/20 , G06T7/73 , G06V10/751 , G06V10/7715 , G06V10/776 , G06V10/82 , G06T2207/10016 , G06T2207/20084 , G06T2207/30201 , G06T2210/44
Abstract: A computer-implemented method is provided. The computer-implemented method includes inputting a low-resolution image and a plurality of high-resolution images into a feature extractor, the low-resolution image and the plurality of high-resolution images including images of a target object; obtaining, by the feature extractor, feature maps of the low-resolution image and the plurality of high-resolution images; comparing similarities between the feature maps of the low-resolution image and the plurality of high-resolution images; obtaining selected feature maps of one or more selected high-resolution images of the plurality of high-resolution images most similar to the low-resolution image; inputting the selected feature maps into a generator to output a repair image; enhancing the low-resolution image using a pre-processing image enhancing process to generate an enhanced image; and morphing the repair image with the enhanced image.
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公开(公告)号：US11765305B2
公开(公告)日：2023-09-19
申请号：US16979417
申请日：2019-12-19
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Yanhong Wu , Hanwen Liu , Guannan Chen
CPC classification number: H04N1/6022
Abstract: An embodiment of the present disclosure provides a method for processing an image. The method comprise: determining weights corresponding to candidate colors for a target color based on an original color of a pixel in the image; selecting a target color of the pixel from the candidate colors based on the weights; and converting the original color of the pixel into the target color to obtain a target image. According to the embodiment of the present disclosure, by determining the weights of the candidate colors, the image can be converted into the target image comprising only the candidate colors, thereby using a limited number of candidate colors to represent the target image.
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公开(公告)号：US20230115094A1
公开(公告)日：2023-04-13
申请号：US17047935
申请日：2019-12-19
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Hanwen Liu , Pablo Navarrete Michelini
IPC: G06T13/40 , G06T11/60 , G06T7/194 , G06T7/70 , G06F3/0482 , G06F3/04845 , G06F3/04883
Abstract: A computer-implemented method is provided. The computer-implemented method includes rendering a dynamic effect to one or more objects in an image. The method includes setting boundary points surrounding a foreground object to define a boundary area in which a dynamic movement is to be realized; setting a movement line to define a dynamic movement direction along which the dynamic movement is to be realized, wherein setting the movement line includes detecting a continuous touch over different positions on the touch control display panel; setting a stationary area to define an area in which the dynamic movement is prohibited, wherein setting the stationary area includes detecting a first touch area corresponding to the stationary area on the touch control display panel; and generating an animation of the foreground object in the boundary area moving along the dynamic movement direction, thereby realizing the dynamic effect in the image.
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公开(公告)号：US11615505B2
公开(公告)日：2023-03-28
申请号：US16604410
申请日：2019-04-23
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Dan Zhu , Hanwen Liu
IPC: G06T3/20 , G06N3/04 , G06N3/08 , G06T3/40 , G06V10/75 , G06V10/82 , G06V10/42 , G06N3/088 , G06T5/00 , G06T5/50 , G06K9/62
Abstract: The present disclosure generally relates to the field of deep learning technologies. An apparatus for generating a plurality of correlation images may include a feature extracting unit configured to receive a training image and extracting at least one or more of feature from the training image to generate a first feature image based on the training image; a normalizer configured to normalize the first feature image and generate a second feature image; and a shift correlating unit configured to perform a plurality of translational shifts on the second feature image to generate a plurality of shifted images, correlate each of the plurality of shifted images with the second feature image to generate the plurality of correlation images.
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公开(公告)号：US11537873B2
公开(公告)日：2022-12-27
申请号：US16073195
申请日：2018-01-19
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Hanwen Liu
Abstract: Provided are a processing method and system for a convolutional neural network, and a computer-readable medium, the processing method includes training a generator and training a discriminator, wherein training a generator includes: extracting a low-resolution color image from a high-resolution color image; training parameters of a generator network, by using the low-resolution color image and a noise image as an input image, based on parameters of a discriminator network, and reducing a generator cost function; training a discriminator includes: inputting an output image of the trained generator network and the high-resolution color image to the discriminator network, respectively; training parameters of the discriminator network by reducing a discriminator cost function (S204) the generator cost function and the discriminator cost function represent a degree in which the output image of the generator network corresponds to the high-resolution color image.
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Patent Agency Ranking
公开(公告)号：US20220028141A1
公开(公告)日：2022-01-27
申请号：US17296773
申请日：2020-09-07
Applicant: BOE Technology Group Co., Ltd.
Inventor： Dan Zhu , Pablo Navarrete Michelini , Hanwen Liu
Abstract: The present disclosure discloses a method and device of dynamic processing of an image and a computer-readable storage medium. Based on the position data of the critical points in the original image and the target image, by unit splitting and affine transformation, the mapping relation between any two neighboring states of the initial state, the intermediate states and the ending state is determined, in turn the intermediate images formed in the intermediate states are determined and obtained based on the mapping relation and the correspondence of all of the points in the basic units, and finally the original image, the intermediate images and the target image are sequentially displayed to present a dynamic effect of the images.
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公开(公告)号：US20210365710A1
公开(公告)日：2021-11-25
申请号：US16959786
申请日：2020-01-06
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Dan Zhu , Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang
Abstract: An image processing method is disclosed. The image processing method may include inputting a first image and a third image to a pre-trained style transfer network model, the third image being a composited image formed by the first image and a second image; extracting content features of the third image and style features of the second image, normalizing the content features of the third image based on the style features of the second image to obtain target image features, and generating a target image based on the target image features and outputting the target image by using the pre-trained style transfer network model.
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公开(公告)号：US20210342976A1
公开(公告)日：2021-11-04
申请号：US16614558
申请日：2019-06-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Pablo Navarrete Michelini , Dan Zhu , Hanwen Liu
Abstract: The present disclosure provides a method of training a generative adversarial network. The method includes iteratively enhancing a first noise input in a generative network to generate a first output image; iteratively enhancing a second noise input in the generative network to generate a second output image; transmitting the first output image and a second reference image to a discriminative network, the second reference image corresponding to the first reference image and having a higher resolution than the first reference image; obtaining a first score from the discriminative network based on the second reference image, and a second score from the discriminative network based on the first output image; calculating a loss function of the generative network based on the first score and the second score; and adjusting at least one parameter of the generative network to lower the loss function of the generative network.
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29.发明授权公开(公告)号：US11069047B2
公开(公告)日：2021-07-20
申请号：US16447547
申请日：2019-06-20
Applicant: BOE TECHNOLOGY GROUP CO., LTD.
Inventor： Hanwen Liu , Pablo Navarrete Michelini , Lijie Zhang , Dan Zhu
Abstract: An image processing method implemented by a computing device is described herein, which includes acquiring an image to be processed and a target style of image, the image to be processed being an image of a second resolution level, and inputting the image to be processed and the target style into a trained image processing neural network for image processing to obtain a target image of the target style, the target image being an image of a first resolution level. The resolution of the image of the first resolution level is higher than that of the image of the second resolution level.
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公开(公告)号：US10430683B2
公开(公告)日：2019-10-01
申请号：US15936755
申请日：2018-03-27
Applicant: BOE Technology Group Co., Ltd.
Inventor： Hanwen Liu , Pablo Navarrete Michelini
Abstract: There are provided an image processing method and an image processing device. The image processing method comprises: acquiring an input image; acquiring a first noise image and a second noise image; executing image conversion processing on the input image with the first noise image using a generative neural network, to acquire a first output image; and executing high resolution conversion processing on the first output image with the second noise image using a super-resolution neural network, to acquire a second output image, wherein the first noise image is different from the second noise image.
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