公开(公告)号：US20230069654A1

公开(公告)日：2023-03-02

申请号：US17774610

申请日：2021-05-14

Applicant: BOE Technology Group Co., Ltd.

Inventor： Hanwen LIU ,  Tingting WANG ,  Guannan CHEN

IPC: G06T5/00

Abstract: An image processing method and an image processing model training method and device. The image processing method comprises: obtaining a first original image to be processed (S101), and downsampling and blurring said first original image according to a configured downsampling processing algorithm and blur parameter to obtain a degraded image (S102). In the method, a new photo can be downsampled and blurred to obtain the degraded image similar to an old photo, and a good training sample is provided for the application of machine learning in the old photo restoration technology. An image processing model applied in the old photo restoration technology is trained on the basis of the training sample, so as to obtain the image processing model having stronger restoration capability, and when the old photo is restored by using the image processing model, the restoration efficiency is higher, and the restoration effect is better.

公开(公告)号：US20220116567A1

公开(公告)日：2022-04-14

申请号：US17265568

申请日：2020-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Yunhua LU ,  Guannan CHEN ,  Ran DUAN ,  Lijie ZHANG ,  Hanwen LIU

IPC: H04N7/01 ,  G06N20/00

Abstract: A video frame interpolation method and device, and a computer-readable storage medium are described. The method includes: inputting at least two image frames into a video frame interpolation model to obtain at least one frame-interpolation image frame, training the initial model using a first loss to obtain a reference model, copying the reference model to obtain three reference models with shared parameters, selecting different target sample images according to a preset rules to train the first/second reference model to obtain a first/second frame-interpolation result; selecting third target sample images from the first/second frame-interpolation result to train the third reference model to obtain the frame-interpolation result, obtaining a total loss of the first training model based on the frame-interpolation result and the sample images, adjusting parameters of the first training model based on the total loss, and using a parameter model via a predetermined number of iterations as the video frame interpolation model.

公开(公告)号：US20210271939A1

公开(公告)日：2021-09-02

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: G06K9/68 ,  G06F40/109 ,  G06K9/00 ,  G06N3/08

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：US20210209730A1

公开(公告)日：2021-07-08

申请号：US16073712

申请日：2017-12-19

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Hanwen LIU ,  Pablo NAVARRETE MICHELINI

IPC: G06T3/40 ,  G06T5/50 ,  G06N3/04 ,  G06N3/08

Abstract: An image processing system, an image processing method and a display device are provided. The image processing system includes at least one resolution conversion sub-system. The resolution conversion sub-system includes a CNN module, a combiner and an activation module connected in a cascaded manner. The CNN module is configured to perform convolution operation on an input signal to acquire a plurality of first feature images having a first resolution. The combiner is configured to combine the first feature images into a second feature image having a second resolution greater than the first resolution. The activation module is connected to the combiner and configured to perform a selection operation on the second feature image using an activation function.

公开(公告)号：US20200065619A1

公开(公告)日：2020-02-27

申请号：US16338830

申请日：2018-08-20

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Hanwen LIU ,  Pablo NAVARRETE MICHELINI

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04

Abstract: An image processing method includes: obtaining an input image; performing image conversion processing on the input image by using a generative neural network; and outputting an output image that has been subjected to image conversion processing. The input image has N channels, N being a positive integer greater than or equal to 1; input of the generative neural network includes a noise image channel and N channels of the input image; output of the generative neural network is an output image including N channels.

公开(公告)号：US20240135490A1

公开(公告)日：2024-04-25

申请号：US18396866

申请日：2023-12-27

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Pablo NAVARRETE MICHELINI ,  Wenbin CHEN ,  Hanwen LIU ,  Dan ZHU

IPC: G06T3/4046 ,  G06N3/08 ,  G06T3/4053 ,  G06T5/50

CPC classification number: G06T3/4046 ,  G06N3/08 ,  G06T3/4053 ,  G06T5/50

Abstract: An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, N is a positive integer and N>2; performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and performing merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.

公开(公告)号：US20220301106A1

公开(公告)日：2022-09-22

申请号：US17631481

申请日：2021-04-09

Applicant: BOE Technology Group Co., Ltd.

Inventor： Hanwen LIU

IPC: G06T3/40 ,  G06V10/774 ,  G06V10/40 ,  G06V10/776 ,  G06V40/18 ,  G06V10/75 ,  G06V10/764

Abstract: Provided are a training method and apparatus for an image processing image processing model, and an image processing method and apparatus. The training method comprises: acquiring a sample image and a first reference image, wherein the information quantity and resolution of the sample image are respectively lower than those of the first reference image; inputting the sample image into a generative network in an image processing model, and carrying out super-resolution processing and down-sampling processing on the sample image by means of the generative network, so as to generate and output at least one result image; determining the total image loss of the at least one result image according to the first reference image; and adjusting parameters of the generative network according to the total image loss, so that the total image loss of at least one result image output by the adjusted generative network meets an image loss condition.

公开(公告)号：US20220180823A1

公开(公告)日：2022-06-09

申请号：US17532470

申请日：2021-11-22

Applicant: BOE Technology Group Co., Ltd.

Inventor： Yanhong WU ,  Hanwen LIU ,  Lijie ZHANG

IPC: G09G3/34

Abstract: The present application discloses a color image processing method, a color image processing device, an electronic ink screen, and a storage medium. The color image processing method includes: obtaining an original image, and transforming original color data of a pixel in the original image into corresponding set color data in a set color space; determining a target color corresponding to the pixel in a plurality of set colors according to the set color data corresponding to the pixel and a color ratio allocation table; and generating a target image according to the target color.

公开(公告)号：US20220084166A1

公开(公告)日：2022-03-17

申请号：US17419350

申请日：2020-10-13

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Pablo NAVARRETE MICHELINI ,  Wenbin CHEN ,  Hanwen LIU ,  Dan ZHU

IPC: G06T3/40 ,  G06N3/08 ,  G06T5/50

Abstract: An image processing method, an image processing device, a training method of a neural network, an image processing method based on a combined neural network model, a constructing method of a combined neural network model, a neural network processor, and a storage medium are provided. The image processing method includes: obtaining, based on an input image, initial feature images of N stages with resolutions from high to low, where N is a positive integer and N>2, performing, based on initial feature images of second to N-th stages, cyclic scaling processing on an initial feature image of a first stage, to obtain an intermediate feature image; and preforming merging processing on the intermediate feature image to obtain an output image. The cyclic scaling processing includes hierarchically-nested scaling processing of N−1 stages, and scaling processing of each stage includes down-sampling processing, concatenating processing, up-sampling processing, and residual link addition processing.

公开(公告)号：US20210373752A1

公开(公告)日：2021-12-02

申请号：US17255458

申请日：2019-11-28

Applicant: BOE Technology Group Co., Ltd.

Inventor： Hanwen LIU ,  PABLO NAVARRETE MICHELINI ,  Dan ZHU

IPC: G06F3/0484 ,  G06F16/55 ,  G06F16/58

Abstract: The present disclosure discloses a user interface system, electronic equipment and an interaction method for picture recognition. The electronic equipment includes a display screen, a memory and a processor, a first interface is displayed on the display screen, and the first interface includes at least one primary function classification tag, a plurality of secondary function classification tags and at least one tertiary function classification tag included in each of the secondary function classification tags; and by selecting a tertiary function classification tag, a second interface can be displayed such that a function effect corresponding to the tertiary function classification tag is experienced on the second interface. The electronic equipment can be used such that different tertiary function classification tags can be selected for experience in the first interface, can provide users with practicality, and has certain tool properties.