| CPC G06V 10/774 (2022.01) [G06N 20/20 (2019.01); G06T 7/0002 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01)] | 9 Claims |
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1. A learning device comprising:
processing circuitry configured to
perform first machine learning using first training data including a first evaluation result for an evaluation target image to generate a first learned model outputting a second evaluation result for an input image,
use the first learned model to acquire a plurality of the second evaluation results for a plurality of the input images,
select a second image quality parameter from a plurality of first image quality parameters having different values, based on the plurality of the second evaluation results, and generate second training data including the selected second image quality parameter,
perform second machine learning using the second training data to generate a second learned model outputting a third image quality parameter used for processing a processing target image, wherein a first processed image is obtained by an image processing device by processing the processing target image with the third image quality parameter and a second processed image is obtained by the image processing device by processing the processing target image by using a fourth image quality parameter having a predetermined value,
generate a third evaluation result for the first processed image, and
generate a fourth evaluation result for the second processed image,
wherein the first processed image is selected by the image processing device when the third evaluation result is equal to the fourth evaluation result or when the third evaluation result is better than the fourth evaluation result, and the second processed image is selected by the image processing device when the fourth evaluation result is better than the third evaluation result.
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