Patent ID: 11893709
Assignee: ROBERT BOSCH GMBH
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A computer-implemented method for training a machine-learning image quantization system, the computer-implemented method comprising the following steps:
(i) receiving a plurality of input images from an image source, wherein each input image includes a plurality of pixels;
(ii) utilizing an image-to-image machine-learning model to assign each pixel a new pixel color;
(iii) utilizing a mixer model to map each new pixel color to one of a fixed number of colors to produce a quantized image corresponding to each input image;
(iv) feeding the input images to a pre-trained reference model to produce a first set of activations;
(v) feeding the quantized image to the pre-trained reference model to produce a second set of activations;
(vi) computing a loss function based on a comparison between the first set of activations and the second set of activations;
(vii) backpropagating the loss function into the image-to-image machine learning model and the mixer model; and
(viii) outputting a trained image-to-image machine learning model and a trained mixer model after repeating steps (ii)-(vii) until convergence.