Image quality assessment system and method
First Claim
Patent Images
1. A system comprising:
- a memory storing processor-executable program code; and
a processor to execute the processor-executable program code to cause the system to;
acquire a plurality of motion free reference images;
generate one or more motion-corrupted images by modifying each of the plurality of motion free reference images to include effects of one or more motion types; and
train a regression network to determine a motion score, where training of the regression network comprises;
input of a generated motion-corrupted image to the regression network;
reception of a first motion score output by the regression network in response to the input image; and
determination of a loss by comparison of the first motion score to a target motion score, the target motion score calculated based on the input motion-corrupted image and a reference image that was modified to generate the motion-corrupted image.
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Abstract
A system and method includes generation of one or more motion-corrupted images based on each of a plurality of reference images, and training of a regression network to determine a motion score, where training of the regression network includes input of a generated motion-corrupted image to the regression network, reception of a first motion score output by the regression network in response to the input image, and determination of a loss by comparison of the first motion score to a target motion score, the target motion score calculated based on the input motion-corrupted image and a reference image based on which the motion-corrupted image was generated.
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Citations
18 Claims
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1. A system comprising:
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a memory storing processor-executable program code; and a processor to execute the processor-executable program code to cause the system to; acquire a plurality of motion free reference images; generate one or more motion-corrupted images by modifying each of the plurality of motion free reference images to include effects of one or more motion types; and train a regression network to determine a motion score, where training of the regression network comprises; input of a generated motion-corrupted image to the regression network; reception of a first motion score output by the regression network in response to the input image; and determination of a loss by comparison of the first motion score to a target motion score, the target motion score calculated based on the input motion-corrupted image and a reference image that was modified to generate the motion-corrupted image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-implemented method comprising:
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generating one or more motion-corrupted images by modifying each of a plurality of reference images to include one or more motion effects previously not exhibited by a respective reference image; and training a regression network to determine a motion score, where training of the regression network comprises; inputting of a generated motion-corrupted image to the regression network; receiving a first motion score output by the regression network in response to the input image; and determining a loss by comparing the first motion score to a target motion score, the target motion score calculated based on the input motion-corrupted image and a reference image that was modified to generate the motion-corrupted image. - View Dependent Claims (9, 10, 11, 12, 13)
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14. A system comprising:
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a memory storing processor-executable program code; and a processor to execute the processor-executable program code to cause the system to; train a generative network to learn a feature distribution of reference images; input a plurality of acceptable images and a plurality of motion corrupted images to the trained generative network to generate a respective plurality of output images constrained to the feature distribution of acceptable reference images; and train a discriminator network to discriminate between reference images and unacceptable images based on differences between each of the reference images and the plurality of motion corrupted images and a respective one of the plurality of output images. - View Dependent Claims (15, 16, 17, 18)
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Specification