Patent ID: 11921818
Assignee: SAMSUNG ELECTRONICS CO., LTD.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 8:
9. A processor-implemented method of training a neural network, the method comprising:
obtaining a color transformation matrix that removes color distortion of an original color histogram of a target color space for a current training image of an original color space;
obtaining a color transformation image of the original color space from which color distortion of the current training image is removed using the color transformation matrix;
obtaining a space transformation image with a minimum target loss value between an output vector of the neural network for one of candidate images and a correct answer class vector of the current training image, the candidate images being spaced apart from the color transformation image of the original color space by a distance less than a threshold;
obtaining a comparison loss value between an output vector of the neural network for the space transformation image and an incorrect answer class vector having a lowest loss value with the output vector among a plurality of class vectors; and
updating a parameter of the neural network so that the target loss value decreases and a difference between the target loss value and the comparison loss value is greater than or equal to a loss value difference.