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HUMAN FACE RESOLUTION RE-ESTABLISHING METHOD AND RE-ESTABLISHING SYSTEM, AND READABLE MEDIUM
HUMAN FACE RESOLUTION RE-ESTABLISHING METHOD AND RE-ESTABLISHING SYSTEM, AND READABLE MEDIUM
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机译:人脸分辨率重新建立方法和重新建立系统,以及可读介质
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摘要
Proposed is a human face resolution re-establishing method based on machine learning, which retains overall structure information about a human face in the process of realizing image resolution improvement, and avoids the occurrence of a local distortion in a generated output image. The human face resolution re-establishing method comprises: acquiring an input image, the input image having a first resolution; based on the input image and a standard gradient image library having a second resolution, determining image gradient information about the input image; fusing the image gradient information, and superposing the gradient information obtained through fusion onto the input image; and generating an output image, the output image having a third resolution, wherein the second resolution and the third resolution are both greater than the first resolution.
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