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公开(公告)号:US20230358612A1
公开(公告)日:2023-11-09
申请号:US18105575
申请日:2023-02-03
Applicant: Samsung Display Co., Ltd.
Inventor: JOOYOUNG YOON , YUNSEOK HAN , DOWON YI , JOO-YOUNG LEE , HYUN-KOO LEE
Abstract: An apparatus for inspecting a display panel includes a light source, a half mirror reflecting a first beam which is a portion of a source beam irradiated from the light source and transmitting a second beam which is another portion of the source beam toward a display panel, a reflective mirror reflecting the second beam transmitting the half mirror and the display panel to return to the half mirror, a panel supporter supporting the display panel between the half mirror and the reflective mirror, a wave plate disposed between the half mirror and the reflective mirror and transmitting the second beam, a rotator rotating the wave plate at a predetermined angle and an imaging detector photographing an interference fringe by the first beam and the second beam.
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2.
公开(公告)号:US20170206821A1
公开(公告)日:2017-07-20
申请号:US15388933
申请日:2016-12-22
Applicant: SAMSUNG DISPLAY CO., LTD.
Inventor: MIN-TAK LEE , KYU-SEOK KIM , SOO-YOUNG KIM , YOUNG-NAM YUN , HYUN-KOO LEE
IPC: G09G3/20 , G09G3/36 , G09G3/3275 , G09G3/3225 , G09G3/3266
CPC classification number: G09G3/2011 , G09G3/20 , G09G3/3225 , G09G3/3266 , G09G3/3275 , G09G3/3611 , G09G3/3677 , G09G3/3688 , G09G2310/08 , G09G2320/0233 , G09G2320/0646 , G09G2340/0492 , G09G2360/145 , G09G2360/16 , H01L21/02678 , H01L21/02686 , H01L27/1274
Abstract: A method of compensating for Mura in a display panel includes displaying a high gray-scale image and a low gray-scale image on a display panel. The displayed images are photographed to generate a high gray-scale luminance image and a low gray-scale luminance image. An ELA Mura for-measurement image having moiré-removed luminance values is generated by dividing luminance values of the low gray-scale luminance image by luminance values of the high gray-scale luminance image. One-dimensional average data is obtained from the ELA Mura for-measurement image. The one-dimensional average data is transformed into frequency-domain data. Target frequency-domain data having a maximum peak value is identified from the frequency-domain data. A direction, an intensity, and a frequency of the ELA Mura are obtained from the target frequency-domain data. A filter is determined based on the obtained information. The filter is applied to image data.
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