ELECTRONIC DEVICE AND METHOD FOR IMPROVING QUALITY OF IMAGE

    公开(公告)号:US20240394862A1

    公开(公告)日:2024-11-28

    申请号:US18786346

    申请日:2024-07-26

    Abstract: An electronic device according to various embodiments includes a camera and a processor. The processor includes image processing and segmentation modules. The segmentation module generates segmentation information by segmenting an original image acquired through the camera. The processor confirms segmented areas of objects sorted from the original image using the original image delivered from the camera and the segmentation information, calculates a quality control value for each object based on an object color of a segmented area, performs primary image processing based on the calculated quality control value for each object, calculates a weighted value for each object by analyzing primary image processing results, calculates a final quality control value for the original image based on the quality control value for each object and the weighted value and delivers the final quality control value to the image processing module.

    ELECTRONIC DEVICE INCLUDING UNDER DISPLAY CAMERA AND OPERATING METHOD THEREOF

    公开(公告)号:US20230115756A1

    公开(公告)日:2023-04-13

    申请号:US17994141

    申请日:2022-11-25

    Abstract: An electronic device is provided. The electronic device includes a first camera, a display, a second camera disposed below the display, and at least one processor, wherein the at least one processor is configured to acquire first image data and first environment information associated with the first image data by using the first camera, acquire second image data and second environment information associated with the second image data by using the second camera, determine whether to correct a correction value related to the second camera based on the second image data, the correction value including at least one of a white balance correction value for correcting white balance of the second camera or a lens shading correction value for correcting lens shading of the second camera, identify a similarity between the first environment information and the second environment information in response to determining to correct the correction value related to the second camera, and correct the correction value related to the second camera by using at least the similarity based on the first image data.

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