Image processing apparatus, image processing method, and computer-readable medium
AssigneeCanon Kabushiki Kaisha
InventorTsuyoshi Kobayashi
Life of this patent
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Abstract
An image processing apparatus is provided that includes: an obtaining unit is configured to obtain a first radiation image of an object to be examined; and a generating unit configured to, by inputting the first radiation image obtained by the obtaining unit into a learned model, generate a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data that includes a radiation image obtained by adding noise with attenuated high-frequency components.
Claims19
An image processing apparatus, comprising:
- a processor;
- and
- a memory, including instructions stored thereon, which when executed by the processor, cause the image processing apparatus to:
- obtain a first radiation image of an object to be examined;
- and
- by inputting the first radiation image into a learned model, generate a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data including a radiation image obtained by adding noise with reduced high-frequency components compared to low-frequency components,
- wherein the first radiation image is obtained by a radiation detector including a scintillator.
An image processing apparatus comprising:
- a processor;
- and
- a memory, including instructions stored thereon, which when executed by the processor, cause the image processing apparatus to:
- obtain a first radiation image of an object to be examined;
- and
- by inputting the first radiation image into a learned model, generate a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data including a radiation image obtained by adding noise of which noise amount of high-frequency components is smaller than noise amount of low-frequency components,
- wherein the first radiation image is obtained by a radiation detector including a scintillator.
An image processing method, comprising:
- obtaining a first radiation image of an object to be examined;
- and
- generating, by inputting the obtained first radiation image into a learned model, a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data that includes a radiation image obtained by adding noise with reduced high-frequency components compared to low-frequency components,
- wherein the first radiation image is obtained by a radiation detector including a scintillator.
An image processing method comprising:
- obtaining a first radiation image of an object to be examined;
- and
- generating, by inputting the first radiation image into a learned model, generate a second radiation image in which noise is reduced compared to the first radiation image, wherein the learned model is obtained by training using training data including a radiation image obtained by adding noise of which noise amount of high-frequency components is smaller than noise amount of low-frequency components, wherein the first radiation image is obtained by a radiation detector including a scintillator.
Dependencies are inferred from the claim text.