公开(公告)号：US20210224955A1

公开(公告)日：2021-07-22

申请号：US17030304

申请日：2020-09-23

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen

IPC: G06T5/00 ,  G06T5/10

Abstract: A method for removing fringe noise in an image includes: acquiring an original image; acquiring an original frequency spectrum of one-dimensional signal of the original image; determining a noise frequency band in the original frequency spectrum, and the noise frequency band is a frequency band including a central frequency of the fringe noise; denoising the noise frequency band to obtain a denoised frequency spectrum, wherein a denoising intensity used in the denoising is gradually increased from a start frequency position of the noise frequency band, and the denoising intensity is gradually reduced from the central frequency until a stop frequency position of the noise frequency band; and generating a denoised image according to the denoised frequency spectrum.

公开(公告)号：US10929720B2

公开(公告)日：2021-02-23

申请号：US16399683

申请日：2019-04-30

Applicant: BOE TECHNOLOGY GROUP CO., LTD.

Inventor： Guannan Chen

IPC: G06K9/62 ,  G06K9/72 ,  G06T5/50

Abstract: An image processing method, an image processing apparatus, and a computer storage medium are disclosed. The image processing method includes: acquiring a first still image; acquiring a first moving image comprising a plurality of image frames; performing segmentation on the first still image to obtain a first feature region in the first still image; acquiring a binary mask image of the first feature region; and performing image fusion on the first still image and the plurality of image frames based on the binary mask image to obtain a second moving image.

公开(公告)号：US20200286273A1

公开(公告)日：2020-09-10

申请号：US16464242

申请日：2018-10-25

Applicant: BOE Technology Group Co., Ltd.

Inventor： Guannan Chen

IPC: G06T11/60 ,  G06T5/50 ,  G06K9/00 ,  G06N3/08

Abstract: A computer-implemented method far generating a composite image, The method includes iteratively optimizing an intermediate style transfer image using an initial style transfer image as a starting point based on a predefined loss function, original content features of a first input image, and original style features of a second input image; generating an optimized style transfer image after iteratively optimizing is performed for N times, N>1; and mouthing the optimized style transfer image with the second input image to generate the composite image.