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

IPC: G06T5/00 ,  H04N1/60 ,  G06T7/90 ,  G06T9/00 ,  G06V10/44 ,  G06V10/56

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.

公开(公告)号：US11587343B2

公开(公告)日：2023-02-21

申请号：US17044275

申请日：2020-04-20

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Lijie Zhang ,  Guannan Chen ,  Hanwen Liu ,  Dan Zhu

IPC: G06V30/244 ,  G06F40/109 ,  G06V30/32 ,  G06V30/28

Abstract: A method and a system for converting a font of a Chinese character in an image, a computer device and a medium are disclosed. A specific implementation of the method includes: acquiring a stroke of a to-be-converted Chinese character in the image and spatial distribution information of the stroke; and generating a Chinese character in a target font that corresponds to the to-be-converted Chinese character in the image according to the stroke of the to-be-converted Chinese character, the spatial distribution information of the stroke and standard stroke information of the target font, to replace the to-be-converted Chinese character.

公开(公告)号：US20210334642A1

公开(公告)日：2021-10-28

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: G06N3/08 ,  G06N3/04 ,  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.

公开(公告)号：US20210097645A1

公开(公告)日：2021-04-01

申请号：US16465294

申请日：2018-12-17

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Pablo Navarrete Michelini ,  Dan Zhu ,  Hanwen Liu

IPC: G06T3/40 ,  G06T5/50

Abstract: The present disclosure relates to an image processing method. The image processing method may include upscaling a feature image of an input image by an upscaling convolutional network to obtain a upscaled feature image; downscaling the upscaled feature image by a downscaling convolutional network to obtain a downscaled feature image; determining a residual image between the downscaled feature image and the feature image of the input image; upscaling the residual image between the downscaled feature image and the feature image of the input image to obtain an upscaled residual image; correcting the upscaled feature image using the upscaled residual image to obtain a corrected upscaled feature image; and generating a first super-resolution image based on the input image using the corrected upscaled feature image.

公开(公告)号：US20210012181A1

公开(公告)日：2021-01-14

申请号：US16626302

申请日：2019-07-22

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Lijie Zhang ,  Pablo Navarre Michelini ,  Hanwen Liu

IPC: G06N3/04 ,  G06N3/08 ,  G06T7/10 ,  G06F17/16

Abstract: A computer-implemented method of training a convolutional neural network configured to morph content features of an input image with style features of a style image is provided. The computer-implemented method includes selecting a training style image; extracting style features of the training style image; selecting a training content image; extracting content features of the training content image; processing the training content image through the convolutional neural network to generate a training output image including the content features of the training content image morphed with the style features of the training style image; extracting content features and style features of the training output image; computing a total loss; and tuning the convolutional neural network based on the total loss including a content loss, a style loss, and a regularization loss.

公开(公告)号：US12236556B2

公开(公告)日：2025-02-25

申请号：US17762199

申请日：2021-04-19

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Lijie Zhang ,  Dan Zhu

IPC: G06T3/4053 ,  G06T5/20 ,  G06V10/82

Abstract: Provided are a method for enhancing a video resolution enhancement, a computer readable storage medium, and an electronic device. The method includes: obtaining multiple image frames as input data, and obtaining initial data by performing feature extraction on the input data using a first three-dimensional convolutional layer; obtaining first feature data by performing down-sampling on the initial data at a preset multiple; obtaining first reference data by performing a convolution operation on the first feature data using a second three-dimensional convolutional layer to merge the first feature data as one frame; and obtaining first output data by performing up-sampling on the first reference data at the preset multiple.

公开(公告)号：US12198226B2

公开(公告)日：2025-01-14

申请号：US17907012

申请日：2021-12-28

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Guannan Chen ,  Hanwen Liu

IPC: G06T11/00 ,  G06T5/20 ,  G06T7/73 ,  G06V10/75 ,  G06V10/77 ,  G06V10/776 ,  G06V10/82

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.

公开(公告)号：US12190472B2

公开(公告)日：2025-01-07

申请号：US17630784

申请日：2021-03-10

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Dan Zhu ,  Ran Duan ,  Guannan Chen

IPC: G06T5/50 ,  G06T3/4046 ,  G06T3/4053

Abstract: A video enhancement method and apparatus, an electronic device, and a storage medium are described. The method comprises: extracting features from M frames of images, so as to obtain at least one first-scale image feature (S310); for each first-scale image feature, performing N-level down-sampling processing on the first-scale image feature, so as to obtain a second-scale image feature (S320); performing N-level up-sampling processing on the second-scale image feature, so as to obtain a third-scale image feature (S330), wherein the input of ith-level up-sampling processing is an image feature obtained after performing superimposition processing on the output of (N+1−i)th-level down-sampling processing and the output of (i−1)th-level up-sampling processing, and the multiple of jth-level up-sampling is the same as the multiple of (N+1−j)th-level down-sampling; and performing superimposition processing on the third-scale image feature and the first-scale image feature.

公开(公告)号：US20240212239A1

公开(公告)日：2024-06-27

申请号：US17789670

申请日：2021-06-29

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Wenhao Zhang

IPC: G06T11/60 ,  G06T7/73 ,  G06V10/22 ,  G06V10/26 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/60 ,  G06V20/70

CPC classification number: G06T11/60 ,  G06T7/73 ,  G06V10/225 ,  G06V10/26 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/60 ,  G06V20/70 ,  G06T2207/10024 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2210/12 ,  G06T2210/62 ,  G06V2201/09

Abstract: A logo labeling method and device, an update method and system, and a storage medium are provided. The logo labeling method includes: acquiring a standard logo picture including a logo; based on the standard logo picture, determining transparency channel information to obtain a first logo picture; determining a circumscribed rectangle frame of the logo in the first logo picture based on the transparency channel information, and performing cutting processing on the first logo picture according to the circumscribed rectangle frame to obtain a second logo picture; performing data augmentation processing based on the second logo picture to obtain at least one third logo picture; and acquiring a background picture, determining pasting position information of the third logo picture in the background picture, and pasting the third logo picture on the background picture according to the pasting position information to obtain at least one logo labeling picture.

公开(公告)号：US20230401679A1

公开(公告)日：2023-12-14

申请号：US17434729

申请日：2020-11-27

Applicant: BOE Technology Group Co., Ltd.

Inventor： Dan Zhu ,  Guannan Chen ,  Ran Duan

IPC: G06T5/00 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/08

CPC classification number: G06T5/003 ,  G06N3/045 ,  G06N3/0464 ,  G06N3/08 ,  G06T2207/20192 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: A computer-implemented image-processing method is provided. The computer-implemented image-processing method includes obtaining a pair of training samples including a training image having a first degree of sharpness and a reference image having a second degree of sharpness, the second degree greater than the first degree, at least portions of the training image and the reference image in a same pair having same contents; inputting the training image to the image-enhancing convolutional neural network to generate a training enhanced image; inputting the training enhanced image into an edge detector; generating, by the edge detector, a plurality of first edge maps; inputting the reference image into the edge detector; generating, by the edge detector, a plurality of second edge maps; and tuning parameters in the image-enhancing convolutional neural network to minimize at least the one or more first losses and a second loss.