Image processing device and image processing method for correcting images obtained from a display surface of mass produced display device

    公开(公告)号:US10979629B2

    公开(公告)日:2021-04-13

    申请号:US16402168

    申请日:2019-05-02

    Abstract: An image processing device for a mass produced display device includes an image obtaining capture to provide a single image frame including intensity values for respective coordinates of a display surface of the display device, and an image correcting unit to correct the intensity values of the single image frame of the display surface by using correction amount values with the corresponding correction direction values to provide a de-blurring image frame for the display surface, wherein the image correcting unit includes a correction amount calculating unit to calculate the correction amount values for the respective coordinates by using first derivative values with respect to the intensity values of the single image frame, and a correction direction calculating unit to calculate the correction direction values for the respective coordinates by using second derivative values with respect to the intensity values of the single image frame.

    Method for compensating mura of display device and mura compensation system

    公开(公告)号:US11232736B1

    公开(公告)日:2022-01-25

    申请号:US17313347

    申请日:2021-05-06

    Abstract: A mura compensation method for a display device in which a data driver and a scan driver disposed at a first side of a pixel unit, includes capturing an image of the pixel unit based on a predetermined first sample gray level; calculating mum luminance of diagonal mura corresponding to the first sample gray level by sharpening the diagonal mura based on light components of the captured image for a first sample area including the diagonal mura; calculating target luminance based on the mura luminance and a luminance distribution of the imaged first sample area; and calculating a first compensation value corresponding to the first sample gray level and a pixel corresponding to the diagonal mura in the first sample area by using the first sample gray level, the mura luminance, and the target luminance.

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