INFORMATION PROCESSING APPARATUS
An information processing apparatus includes a processor configured to perform a resolution reduction process on a target image to generate a low-resolution image, the resolution reduction process being a process in which a degree of resolution reduction changes depending on a size of the target image or a size of dispensable information contained in the target image; and perform a generation process of generating, based on the low-resolution image, a super-resolution image having a predetermined resolution corresponding to a resolution of the target image.
1 . An information processing apparatus comprising:
a processor configured to
perform a resolution reduction process on a target image to generate a low-resolution image, the resolution reduction process being a process in which a degree of resolution reduction changes depending on a size of the target image or a size of dispensable information contained in the target image, and
perform a generation process of generating, based on the low-resolution image, a super-resolution image having a predetermined resolution corresponding to a resolution of the target image.
2 . The information processing apparatus according to claim 1 , wherein in the resolution reduction process, as a deviation between the size of the target image and the size of the dispensable information decreases, the degree of resolution reduction is increased.
3 . The information processing apparatus according to claim 2 , wherein in the resolution reduction process, as the size of the target image increases, the degree of resolution reduction is increased.
4 . The information processing apparatus according to claim 2 , wherein in the resolution reduction process, as the size of the dispensable information increases, the degree of resolution reduction is increased.
5 . The information processing apparatus according to claim 1 ,
wherein the processor is further configured to divide an input image into a plurality of regions,
wherein the resolution reduction process is performed on images of the plurality of regions resulting from the division to generate low-resolution images, each of the images of the plurality of regions serving as the target image, and
wherein the processor is configured to
generate, based on the low-resolution images corresponding to the respective target images, super-resolution images having the predetermined resolution, and
generate, from the generated super-resolution images, a super-resolution image corresponding to the input image.
6 . The information processing apparatus according to claim 2 ,
wherein the processor is further configured to divide an input image into a plurality of regions,
wherein the resolution reduction process is performed on images of the plurality of regions resulting from the division to generate low-resolution images, each of the images of the plurality of regions serving as the target image, and
wherein the processor is configured to
generate, based on the low-resolution images corresponding to the respective target images, super-resolution images having the predetermined resolution, and
generate, from the generated super-resolution images, a super-resolution image corresponding to the input image.
7 . The information processing apparatus according to claim 3 ,
wherein the processor is further configured to divide an input image into a plurality of regions,
wherein the resolution reduction process is performed on images of the plurality of regions resulting from the division to generate low-resolution images, each of the images of the plurality of regions serving as the target image, and
wherein the processor is configured to
generate, based on the low-resolution images corresponding to the respective target images, super-resolution images having the predetermined resolution, and
generate, from the generated super-resolution images, a super-resolution image corresponding to the input image.
8 . The information processing apparatus according to claim 4 ,
wherein the processor is further configured to divide an input image into a plurality of regions,
wherein the resolution reduction process is performed on images of the plurality of regions resulting from the division to generate low-resolution images, each of the images of the plurality of regions serving as the target image, and
wherein the processor is configured to
generate, based on the low-resolution images corresponding to the respective target images, super-resolution images having the predetermined resolution, and
generate, from the generated super-resolution images, a super-resolution image corresponding to the input image.
9 . The information processing apparatus according to claim 5 , wherein in the resolution reduction process, as the size of a region among the plurality of regions increases, the degree of resolution reduction is increased.
10 . The information processing apparatus according to claim 6 , wherein in the resolution reduction process, as the size of a region among the plurality of regions increases, the degree of resolution reduction is increased.
11 . The information processing apparatus according to claim 7 , wherein in the resolution reduction process, as the size of a region among the plurality of regions increases, the degree of resolution reduction is increased.
12 . The information processing apparatus according to claim 8 , wherein in the resolution reduction process, as the size of a region among the plurality of regions increases, the degree of resolution reduction is increased.
13 . The information processing apparatus according to claim 5 ,
wherein in the division, the input image is divided into the plurality of regions according to kinds of objects in the input image, and
wherein in the resolution reduction process, the resolution of each of the images of the plurality of regions is reduced at the degree of resolution reduction according to the kind of the object corresponding to the region.
14 . The information processing apparatus according to claim 6 ,
wherein in the division, the input image is divided into the plurality of regions according to kinds of objects in the input image, and
wherein in the resolution reduction process, the resolution of each of the images of the plurality of regions is reduced at the degree of resolution reduction according to the kind of the object corresponding to the region.
15 . The information processing apparatus according to claim 7 ,
wherein in the division, the input image is divided into the plurality of regions according to kinds of objects in the input image, and
wherein in the resolution reduction process, the resolution of each of the images of the plurality of regions is reduced at the degree of resolution reduction according to the kind of the object corresponding to the region.
16 . The information processing apparatus according to claim 9 ,
wherein in the division, the input image is divided into the plurality of regions according to kinds of objects in the input image, and
wherein in the resolution reduction process, the resolution of each of the images of the plurality of regions is reduced at the degree of resolution reduction according to the kind of the object corresponding to the region.
17 . The information processing apparatus according to claim 1 ,
wherein the generation process is performed using a generator included in a trained generative adversarial network including the generator and a discriminator, and
wherein in training of the generative adversarial network, the generator is trained to generate the super-resolution image having the predetermined resolution from the low-resolution image corresponding to the target image, and the discriminator is trained to differentiate between the target image and the super-resolution image having the predetermined resolution.
18 . The information processing apparatus according to claim 17 , wherein in the training of the generative adversarial network, a loss is calculated based on information on a region of an object of interest in the target image, and the generator is trained based on the calculated loss.
19 . The information processing apparatus according to claim 1 , wherein the generation process is performed with a mechanism including
a first neural network configured to extract an image feature from the low-resolution image,
an attention mechanism configured to process the image feature, and
a second neural network configured to generate the super-resolution image having the predetermined resolution from an output of the attention mechanism.
20 . An information processing apparatus comprising:
first generation circuitry configured to perform a resolution reduction process on a target image to generate a low-resolution image, the resolution reduction process being a process in which a degree of resolution reduction changes depending on a size of the target image or a size of dispensable information contained in the target image; and
second generation circuitry configured to perform a process of generating, based on the low-resolution image, a super-resolution image having a predetermined resolution corresponding to a resolution of the target image.