Image processing device, computer readable recording medium, and method of processing image
AssigneeToyota Jidosha Kabushiki Kaisha
InventorsToshiaki OHGUSHI, Kenji HORIGUCHI, Masao YAMANAKA
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Abstract
An image processing device includes a processor including hardware, the processor being configured to: generate a semantic label image by estimating a semantic label for each pixel of an input image by using a discriminator trained in advance; generate a restored image by estimating an original image from the semantic label image; calculate a first difference between the input image and the restored image; and update an estimation parameter for estimating the semantic label or an estimation parameter for estimating the original image based on the first difference.
Claims17
An image processing device comprising a processor comprising hardware, the processor being configured to:
- generate a semantic label image by estimating a semantic label for each pixel of an input image by using a discriminator trained in advance;
- generate a restored image by estimating an original image from the semantic label image;
- calculate a first difference between the input image and the restored image;
- and
- update an estimation parameter for estimating the semantic label or an estimation parameter for estimating the original image based on the first difference.
A non-transitory computer-readable recording medium on which an executable program is recorded, the program causing a processor of a computer to execute:
- generating a semantic label image by estimating a semantic label for each pixel of an input image by using a discriminator trained in advance;
- generating a restored. image by estimating an original image from the semantic label image;
- calculating a first difference between the input image and the restored image;
- and
- updating an estimation parameter for estimating the semantic label or an estimation parameter for estimating the original image based on the first difference.
A method of processing an image, the method comprising:
- generating a semantic label image by estimating a semantic label for each pixel of an input image by using a discriminator trained in advance;
- generating a restored. image by estimating an original image from the semantic label image;
- calculating a first difference between the input image and the restored image;
- and
- updating an estimation parameter for estimating the semantic label or an estimation parameter for estimating the original image based on the first difference.
Dependencies are inferred from the claim text.