Method and apparatus for removing honeycomb artifacts from optical fiber bundle images based on artificial intelligence

    公开(公告)号:US12283031B2

    公开(公告)日:2025-04-22

    申请号:US17742027

    申请日:2022-05-11

    Abstract: Provided are an apparatus and method for honeycomb artifacts removal for removing honeycomb artifacts in images received from an optical fiber imaging device through a honeycomb artifact removal model. The honeycomb artifact removal apparatus according to an embodiment includes a control unit configured to create a training dataset, build the honeycomb artifact removal model with the created training data, remove a honeycomb artifact in an input image through the built honeycomb artifact removal model and output a corrected image, wherein the control unit is configured to perform preprocessing of a raw image, acquire a honeycomb artifact image through the optical fiber imaging device, and synthesize the preprocessed raw image with the honeycomb artifact image to generate a honeycomb artifact synthesized image, and the training dataset is created by mapping the honeycomb artifact synthesized image as input data and the preprocessed raw image as output data.

    Perspiration mapping patch
    7.
    发明授权

    公开(公告)号:US12251235B2

    公开(公告)日:2025-03-18

    申请号:US17507811

    申请日:2021-10-22

    Abstract: A perspiration mapping patch according to the present disclosure is attached to skin of a user to absorb sweat, and includes: a sweat absorbing layer in which a plurality of opening units is arranged; a first support layer which is stacked on a first surface of the sweat absorbing layer and includes an opening opened to correspond to each of the plurality of opening units; and a second support layer stacked on a second surface facing an opposite side of the first surface of the sweat absorbing layer.

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