US 12,327,329 B2
Method for complementing color image using machine-learning model
Yukihiro Sasagawa, Yokohama (JP)
Assigned to SOCIONEXT INC., Kanagawa (JP)
Filed by Socionext Inc., Kanagawa (JP)
Filed on Aug. 19, 2022, as Appl. No. 17/891,687.
Application 17/891,687 is a continuation of application No. PCT/JP2021/012428, filed on Mar. 24, 2021.
Claims priority of provisional application 63/001,012, filed on Mar. 27, 2020.
Prior Publication US 2022/0398693 A1, Dec. 15, 2022
Int. Cl. G06T 5/00 (2024.01)
CPC G06T 5/00 (2013.01) [G06T 2207/10024 (2013.01); G06T 2207/10048 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01)] 11 Claims
OG exemplary drawing
 
1. A color image inpainting method comprising:
obtaining a color image of an object to be recognized, the color image including a missing portion where at least part of image information is missing;
obtaining an infrared image of the object;
identifying the missing portion in the color image; and
after the missing portion in the color image is identified, inpainting the missing portion in the color image identified in the identifying to obtain an inpainted color image of the object,
wherein the inpainting includes inpainting the missing portion by using information which is obtained only from a part of the infrared image, the part corresponding to the missing portion in the color image.