The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 13, 2018

Filed:

Dec. 22, 2016
Applicant:

Samsung Display Co., Ltd., Yongin-si, Gyeonggi-Do, KR;

Inventors:

Min-Tak Lee, Hwaseong-si, KR;

Kyu-Seok Kim, Asan-si, KR;

Soo-Young Kim, Seoul, KR;

Young-Nam Yun, Suwon-si, KR;

Hyun-Koo Lee, Seoul, KR;

Assignee:

SAMSUNG DISPLAY CO., LTD., Yongin-si, Gyeonggi-Do, KR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G09G 3/20 (2006.01); G09G 3/32 (2016.01); G09G 3/3225 (2016.01); G09G 3/3266 (2016.01); G09G 3/3275 (2016.01); G09G 3/36 (2006.01); H01L 21/02 (2006.01); H01L 27/12 (2006.01);
U.S. Cl.
CPC ...
G09G 3/2011 (2013.01); G09G 3/3225 (2013.01); G09G 3/3266 (2013.01); G09G 3/3275 (2013.01); G09G 3/3677 (2013.01); G09G 3/3688 (2013.01); G09G 2310/08 (2013.01); G09G 2320/0646 (2013.01); G09G 2340/0492 (2013.01); G09G 2360/145 (2013.01); G09G 2360/16 (2013.01); H01L 21/02678 (2013.01); H01L 21/02686 (2013.01); H01L 27/1274 (2013.01);
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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