公开(公告)号：US20230342883A1

公开(公告)日：2023-10-26

申请号：US18341617

申请日：2023-06-26

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Qi Cao ,  Xiaoli Zhang ,  Di Zhang ,  Haihang Zhang

IPC: G06T5/00 ,  G06T7/90 ,  G06T7/136 ,  G06T7/50

CPC classification number: G06T5/001 ,  G06T7/90 ,  G06T7/136 ,  G06T7/50 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20084 ,  G06T2207/30192

Abstract: This application provide an image processing method, and relate to the field of computer vision technologies, to perform repair processing on a color image in a fog/haze/smoke extreme weather condition. The image processing method includes: obtaining a first depth map and a color image, where the first depth map and the color image are images respectively shot by a depth sensor and a camera for a same scene; determining an atmospheric light value; performing depth completion on the first depth map to obtain a second depth map, and determining a transmittance based on the second depth map; and performing repair processing on the color image based on the atmospheric light value and the transmittance. The second depth map is used to determine the transmittance, and therefore, a transmittance of higher precision is obtained, thereby improving an image processing effect.

公开(公告)号：US20240265572A1

公开(公告)日：2024-08-08

申请号：US18614676

申请日：2024-03-24

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Qi Cao ,  Di Zhang ,  Shuzhan Bi

IPC: G06T7/73 ,  G06T7/564 ,  G06T7/593

CPC classification number: G06T7/74 ,  G06T7/564 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/10024 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/30252

Abstract: In a depth estimation method, a depth estimation apparatus obtains a first color image, and inputs the first color image into a first depth estimation model to obtain a first intermediate depth image. The depth estimation apparatus then inputs the first color image and the first intermediate depth image into a second depth estimation model to obtain a first target depth image. The second depth estimation model is obtained through training based on a color image and a target depth image corresponding to the color image, and the first depth estimation model is obtained through training based on the color image and an intermediate depth image corresponding to the color image.