Image processing apparatus, image processing method, and non-transitory computer-readable storage medium
AssigneeCanon Kabushiki Kaisha
InventorsGo Otani, TORU KOKURA
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Abstract
An image processing apparatus comprises a first obtaining unit configured to obtain a restoration accuracy of processing for restoring a teacher image from a deteriorated image for which deterioration has been added to the teacher image, a second obtaining unit configured to obtain a frequency characteristic of the teacher image, and a first training unit configured to perform processing for training a learning model based on the restoration accuracy and the frequency characteristic.
Claims13
An image processing apparatus comprising:
- a first obtaining unit configured to obtain a restoration accuracy of processing for restoring a teacher image from a deteriorated image for which deterioration has been added to the teacher image;
- a second obtaining unit configured to obtain a frequency characteristic of the teacher image;
- and
- a first training unit configured to perform processing for training a learning model based on the restoration accuracy and the frequency characteristic.
An image processing method comprising;
- obtaining a restoration accuracy of processing for restoring a teacher image from a deteriorated image for which deterioration has been added to the teacher image;
- obtaining a frequency characteristic of the teacher image;
- and
- performing processing for training a learning model based on the restoration accuracy and the frequency characteristic.
A non-transitory computer-readable storage medium storing a computer program for causing a computer to function as:
- a first obtaining unit configured to obtain a restoration accuracy of processing for restoring a teacher image from a deteriorated image for which deterioration has been added to the teacher image;
- a second obtaining unit configured to obtain a frequency characteristic of the teacher image;
- and
- a first training unit configured to perform processing for training a learning model based on the restoration accuracy and the frequency characteristic.
Dependencies are inferred from the claim text.