IMAGE RESTORATION DEVICE AND RESTORATION MODEL GENERATION DEVICE
An image restoration device includes an acquisition processing unit configured to acquire a captured image obtained by an imaging unit capturing surroundings of a vehicle, and a restoration processing unit. In a case where the captured image includes a stained area caused by a stain of an optical system of the imaging unit, the restoration processing unit is configured to output a restored image corresponding to the captured image acquired by the acquisition processing unit based on a restoration model pre-trained by a machine learning method to output the restored image serving as the captured image in response to an input of the captured image, the restored image in which the stained area is reduced in a different degree in accordance with a position of the stained area in the captured image.
1 . An image restoration device, comprising:
an acquisition processing unit configured to acquire a captured image obtained by an imaging unit capturing surroundings of a vehicle; and
a restoration processing unit, wherein
in a case where the captured image includes a stained area caused by a stain of an optical system of the imaging unit, the restoration processing unit is configured to output a restored image corresponding to the captured image acquired by the acquisition processing unit based on a restoration model pre-trained by a machine learning method to output the restored image serving as the captured image in response to an input of the captured image, the restored image in which the stained area is reduced in a different degree in accordance with a position of the stained area in the captured image.
2 . The image restoration device according to claim 1 , wherein the restoration model is configured to output the restored image in which the stained area included at a predetermined position where a necessity of visual confirmation by a passenger of the vehicle is high in the captured image is reduced in a larger degree than the stained area included in the other position.
3 . The image restoration device according to claim 1 , wherein the restoration model is configured to output the restored image in which the stained area included in a predetermined area where a necessity of visual confirmation by a passenger of the vehicle is high in the captured image is reduced in a larger degree than the stained area included in the other area.
4 . The image restoration device according to claim 1 , wherein the restoration model is configured to output the restored image in which the stained area is reduced in a different degree by each of plural areas corresponding to a result in which a predetermined classifier classifies the captured image in accordance with a subject captured in the captured image.
5 . A restoration model generation device comprising:
an acquisition processing unit configured to acquire a captured image obtained by an imaging unit capturing surroundings of a vehicle, the captured image including a stained area caused by a stain of an optical system of the imaging unit;
a restoration processing unit configured to output the restored image corresponding to the captured image acquired by the acquisition processing unit based on a restoration model outputting the restored image serving as the captured image in response to an input of the captured image, the restored image in which the stained area is reduced; and
a learning processing unit configured to train the restoration model to output the restored image in response to the input of the captured image, the restored image serving as the captured image in which the stained area is reduced in a different degree in accordance with a position of the stained area in the captured image by a machine learning method based on the restored image, an ideal image, and a map, the restored image outputted by the restoration processing unit, the ideal image serving as the captured image in which the stained area is removed, and the map indicating correspondence between any position in the captured image and a restoration degree indicating a degree to reduce the stained area.
6 . The restoration model generation device according to claim 5 , wherein
the map is predetermined; and
the learning processing unit is configured to train the restoration model by the machine learning method to correct a difference between the restored image and the ideal image at each of the positions thereof in accordance with the restoration degree, the machine learning method to decrease the difference after the correction.
7 . The restoration model generation device according to claim 6 , wherein the restoration degree of the map is specified to correct the difference between the restored image and the ideal image larger at a predetermined position where a necessity of visual confirmation by a passenger of the vehicle is high in the captured image than the other position.
8 . The restoration model generation device according to claim 6 , wherein the restoration degree of the map is specified to correct the difference between the restored image and the ideal image larger at a predetermined area where a necessity of visual confirmation by a passenger of the vehicle is high in the captured image than the other area.
9 . The restoration model generation device according to claim 5 , wherein
a predetermined classifier classifies the restored image into plural areas in accordance with a subject captured in the captured image in response to that the restoration processing unit outputs the restored image; and
the learning processing unit is configured to generate the map by specifying the restoration degrees which are different from one another by each of the plural areas.