US 11,869,449 B2
Image processing device, image processing method, display device having artificial intelligence function, and method of generating trained neural network model
Takeshi Hiramatsu, Tokyo (JP); and Hiroyuki Tahara, Tokyo (JP)
Assigned to SATURN LICENSING LLC, New York, NY (US)
Appl. No. 17/596,206
Filed by SATURN LICENSING LLC, New York, NY (US)
PCT Filed Jun. 11, 2020, PCT No. PCT/JP2020/023016
§ 371(c)(1), (2) Date Dec. 6, 2021,
PCT Pub. No. WO2020/250973, PCT Pub. Date Dec. 17, 2020.
Claims priority of application No. 2019-110354 (JP), filed on Jun. 13, 2019.
Prior Publication US 2022/0319443 A1, Oct. 6, 2022
Int. Cl. G09G 3/00 (2006.01); G09G 3/34 (2006.01); G06N 3/08 (2023.01)
CPC G09G 3/342 (2013.01) [G06N 3/08 (2013.01); G09G 3/3413 (2013.01); G09G 2320/064 (2013.01); G09G 2354/00 (2013.01)] 17 Claims
OG exemplary drawing
 
1. An image processing device comprising:
a trained neural network model that estimates a local dimming pattern representing light emitting states of light sources corresponding to a plurality of areas divided from a display area of an image display for a target display image for video from a broadcasting source; and
control circuitry configured to control the light emitting states of the light sources on the basis of the local dimming pattern estimated by the trained neural network model,
wherein the neural network model is trained on the basis of an error between the target display image input to the neural network model and a screen intensity distribution calculated from the local dimming pattern estimated by the neural network model on the basis of optical propagation calculation.