US 11,694,310 B2
Image processing method, image processing apparatus, image processing system, and manufacturing method of learnt weight
Norihito Hiasa, Utsunomiya (JP)
Assigned to CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed by CANON KABUSHIKI KAISHA, Tokyo (JP)
Filed on Jun. 3, 2020, as Appl. No. 16/891,406.
Claims priority of application No. 2019-105850 (JP), filed on Jun. 6, 2019.
Prior Publication US 2020/0388014 A1, Dec. 10, 2020
Int. Cl. G06T 5/00 (2006.01); G06T 5/20 (2006.01); G06N 20/00 (2019.01); G06N 3/084 (2023.01)
CPC G06T 5/003 (2013.01) [G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 5/20 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20172 (2013.01)] 23 Claims
OG exemplary drawing
 
1. An image processing method comprising:
a first step of acquiring weight information of a machine learning model, and input data including a captured image and a map generated based on first information relating to a state of an optical system at a time of capturing the captured image, the optical system having been used for capturing the captured image; and
a second step of generating an estimated image by (i) inputting the input data to the machine learning model that is based on the weight information and (ii) sharpening the captured image using the machine learning model or reshaping blurs included in the captured image using the machine learning model,
wherein the weight information has been subjected to learning in advance by using training input data including a training image and information relating to a state of the optical system corresponding to the training image so that different processing is performed according to the first information.