公开(公告)号：US20220368829A1

公开(公告)日：2022-11-17

申请号：US17493268

申请日：2021-10-04

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jing ZHU ,  Wenbo LI ,  Hongxia JIN

IPC: H04N5/232 ,  G06T5/00 ,  G06T5/50 ,  G06T5/20

Abstract: A super resolution is produced using multiple reference images. Reference images are upsampled and blurred as needed for comparison between images of different resolution. Patches in blurred images are searched to find those patches which can be assembled into vectors for improving feature content over multiple resolution levels. The searches are based on similarity maps. The assembled vectors are concatenated with one or more other vectors, up-converted and then passed through convolutional layers to obtain new feature vectors. A final feature vector is passed through a convolutional layer to obtain the super resolution image.

公开(公告)号：US20250166339A1

公开(公告)日：2025-05-22

申请号：US18955003

申请日：2024-11-21

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Wenbo LI ,  Yilin SHEN ,  Hongxia JIN

IPC: G06V10/26 ,  G06V10/30 ,  G06V10/58 ,  G06V10/82

Abstract: A method includes generating a pair of features of a current frame by inputting the current frame into a first cross-collaborative consistency learning (C3L) model, the current frame comprising a red-green-blue (RGB) image and a thermal image; generating a pair of denoised features by inputting the of pair of features of the current frame and one or more pairs of features of past frames into a denoised memory read (DMR) model; generating an updated pair of denoised features by inputting the pair of denoised features into a second C3L model, the updated pair of denoised features comprising an updated RGB image feature and an updated thermal feature; and generating a segmentation mask by inputting the updated pair of features into a segmentation head.