METHOD OF COMPENSATING MURA OF DISPLAY APPARATUS AND VISION INSPECTION APPARATUS PERFORMING THE METHOD

摘要

A method of compensating a Mura defect of a display apparatus, which includes a display area divided into an upper area and a lower area, includes calculating a sharp grayscale correction value of a predetermined sample grayscale displayed on the display apparatus, where the sharp grayscale correction value is configured to compensate a sharp horizontal Mura between the upper and lower areas, displaying a corrected sample grayscale on the display apparatus based on the predetermined sample grayscale and the sharp grayscale correction value, sensing the corrected sample grayscale displayed on each of a plurality of sample areas defined on the display area based on a Mura type, calculating an intensity profile of the sample grayscale and a target intensity profile configured to compensate the intensity profile of the sample grayscale, calculating a grayscale correction value of the sample area using the intensity profile and the target intensity profile.

主权项

1. A method of compensating a Mura defect of a display apparatus which comprises a display area divided into an upper area and a lower area, which are driven independently of each other, the method comprising:
calculating a sharp grayscale correction value of a predetermined sample grayscale displayed on the display apparatus, wherein the sharp grayscale correction value is configured to compensate a sharp horizontal Mura in a boundary area between the upper and lower areas; displaying a corrected sample grayscale on the display apparatus based on the predetermined sample grayscale and the sharp grayscale correction value; sensing the corrected sample grayscale displayed on each of a plurality of sample areas, wherein the sample areas are defined on the display area based on a Mura type; calculating an intensity profile of the corrected sample grayscale and a target intensity profile which is configured to compensate the intensity profile of the corrected sample grayscale; calculating a grayscale correction value of the sample area using the intensity profile and the target intensity profile; and applying the sharp grayscale correction value to the grayscale correction value.