公开(公告)号：US20220392038A1

公开(公告)日：2022-12-08

申请号：US17886172

申请日：2022-08-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Bin SUN ,  Yanlong SUN ,  Yong A ,  Wei LI ,  Lanlan ZHANG ,  Zhezhu JIN ,  Yingying JIANG

IPC: G06T5/50 ,  G06T5/20 ,  G06V10/77 ,  G06T3/40 ,  G06T7/11 ,  G06V10/74 ,  G06V40/16 ,  G06V10/764 ,  G06V10/82 ,  G06V10/94

Abstract: The present disclosure provides methods, apparatuses, and computer-readable mediums for image processing. In some embodiments, a method of image processing includes acquiring, from a user, a first image. The method further includes removing, using an image de-filter network, a filter effect applied to the first image to generate a second image. The method further includes obtaining, based on the first image and the second image, an image filter corresponding to the filter effect. The method further includes rendering a third image using the obtained image filter to output a fourth image.

公开(公告)号：US20250061735A1

公开(公告)日：2025-02-20

申请号：US18932067

申请日：2024-10-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Zhuoxin GAN ,  Yingying Jiang ,  Inho Choi ,  Weihua Zhang ,  Yong A

IPC: G06V20/70 ,  G06V10/26 ,  G06V10/74 ,  G06V10/77 ,  G06V10/82

Abstract: An image processing method includes obtaining a target image; splitting the target image into at least one sub-image based on a similarity of complexity in the target image; processing the at least one sub-image by at least one decoder corresponding to the at least one sub-image; and obtaining an output image based on the processed at least one sub-image. The splitting of the target image into the at least one sub image includes: splitting the target image into at least one grid of equal size; determining a similarity of complexity between adjacent grids in the at least one grid; and grouping the at least one grid into the at least one sub-image based on the similarity of the complexity between the adjacent grids.

公开(公告)号：US20200311552A1

公开(公告)日：2020-10-01

申请号：US16829205

申请日：2020-03-25

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Yong A ,  Gaofei Wang ,  Zhenbo Luo ,  Shuli Yang ,  Bin Sun ,  Pei Fu ,  Hua Wang

IPC: G06N3/08 ,  G06N3/04

Abstract: A method for compressing a machine learning model by an electronic device. The method may comprise determining a compression parameter of a set hidden layer in a model based on a pruning number of respective channels included in the set hidden layer and a pruning loss of each hidden layer of the model; and compressing the model based on the compression parameter of the set hidden layer. The compression parameter may be related to a pruning of the model.