CN110148098B - Singularity processing method for OLED screen DeMURA - Google Patents

Singularity processing method for OLED screen DeMURA Download PDF

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CN110148098B
CN110148098B CN201910449204.6A CN201910449204A CN110148098B CN 110148098 B CN110148098 B CN 110148098B CN 201910449204 A CN201910449204 A CN 201910449204A CN 110148098 B CN110148098 B CN 110148098B
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point
demura
singular
oled screen
brightness
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张明波
李堃
王道宁
廖志梁
陶亮
张亚东
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Yicheng Gaoke Dalian Technology Co ltd
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/90Dynamic range modification of images or parts thereof
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    • GPHYSICS
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    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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Abstract

The invention discloses a singular point processing method for an OLED screen DeMURA, which comprises the following steps: 1. a singular point judgment method in the DeMURA process; 2. and a singular point processing method in the DeMURA process. The invention judges the singular point based on the adjustment factor in the DeMURA process, can eliminate the MURA phenomenon caused by the singular point to a certain extent, and improves the precision of the DeMURA; and the estimated gray level based on the periphery of the singular point is subjected to singular point processing, so that a new MURA phenomenon is avoided, and the result of the DeMURA is more uniform.

Description

Singularity processing method for OLED screen DeMURA
Technical Field
The invention relates to the technical field of screen image processing, in particular to the technical field of image processing of a camera or a mobile phone screen.
Background
The OLED screen causes non-uniformity in display due to non-linearity of the luminance of each light emitting cell with the input gray, which is a display defect mainly manifested by low contrast, blurred edges, and various shapes of the defect region and the surrounding background.
Singularities are introduced due to dead spots in the OLED screen itself, contamination of the screen, or noise in the scanning device itself. In the Demura method that has been disclosed so far, there is no detailed discussion about singular points. On one hand, noise introduced by an OLED screen in a scanning process during a singular point is generally considered to be removed by using a filtering method, but the mura phenomenon caused by the singular point is essentially ignored by the processing method; on the other hand, the Demura algorithm calculates the adjustment factor of each point according to the measured brightness value and the input gray value, and the singular point influences the accuracy of the calculation result.
Disclosure of Invention
The invention aims to provide a singular point processing method in a Demura process of an OLED screen, which is used for judging whether the singular point is a singular point or not in the Demura process and giving corresponding processing to finally improve the precision of the Demura and the uniformity of the OLED screen.
The technical scheme adopted by the invention for realizing the purpose is as follows: a singular point processing method for an OLED screen DeMURA comprises the following steps:
step 1, judging singular points,
when Demura is carried out on an OLED screen, an adjusting factor omega (x, y) of a point (x, y) is calculated, when the adjusting amplitude | omega (x, y) -1| is larger than a given certain threshold value Delta, the point is considered as a singular point,
step 2, singular point processing is carried out,
step 2-1, when the brightness L (x, y) =0 acquired by the point (x, y), the point is a dead point of the OLED screen, and the brightness L of the point is b (x, y) is:
Figure BDA0002074586620000011
l (i, j) is the adjusted brightness value of the point (x, y), N is the number of the selected points, and the brightness L (i, j) of the peripheral points is updated to
Figure BDA0002074586620000012
The point (i, j) uses the updated luminance to calculate the adjustment factor.
Step 2-2, when the brightness L (x, y) ≠ 0 acquired from the point (x, y), the estimated gray level of the point is as follows;
Figure BDA0002074586620000021
the selection of the point (i, j) refers to the threshold calculation in step 1, g (i, j) is the estimated gray level of the point after adjustment, and the adjustment factor ω (x, y) of the point is:
Figure BDA0002074586620000022
in step 1, the method for calculating the adjustment factor ω (x, y) of the point (x, y) includes: acquiring brightness information of the OLED screen to obtain an actual gray value g (x, y) of the mobile phone screen, and calculating an adjustment factor of a point (x, y) according to the gray value g' (x, y) driven by the OLED screen
Figure BDA0002074586620000023
In the step 1, the value of the threshold value Δ is obtained by the following method:
1-1, adjusting the amplitude to be less than 30% by using an empirical threshold;
in the mode 1-2, the adjustment factors of n neighborhood non-singular points of the point (x, y) are averaged, and n is 4 or 8;
mode 1-3, the adjustment factors for the distance pixel non-singular points for point (x, y) are averaged, and the distance is the city distance or Euclidean distance.
The singular point processing method for the OLED screen DeMURA has the advantages that: 1. singular point judgment is carried out based on a threshold value mode, statistical characteristic analysis or attribute analysis of a global image is not needed, and judgment efficiency is high; 2. the average brightness value of the adjacent pixels of the point is used as the brightness value of the point, so that the adjustment factor is calculated, and the method is simple and convenient to calculate and high in instantaneity and realizability; 3. because the brightness of the adjacent pixels is used for adjustment, new mura is not brought, and the precision and the uniformity of the Demura are improved.
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FIG. 1 is a flow chart of a singular point processing method for an OLED panel DeMURA according to the present invention.
Detailed Description
The singular point processing method for the OLED screen DeMURA uses the adjustment factors and the brightness of the adjacent pixels to judge and process the singular point. The specific method comprises the following steps:
step 1, singular point judgment:
when the Demura is carried out on the OLED screen, the adjustment factor omega (x, y) of the point (x, y) is calculated, and the calculation method of the adjustment factor omega (x, y) of the point (x, y) is to acquire the brightness of the OLED screenObtaining the actual gray value g (x, y) of the mobile phone screen, and calculating the adjustment factor of the point (x, y) according to the gray value g' (x, y) driven by the OLED screen
Figure BDA0002074586620000031
When the adjustment amplitude | ω (x, y) -1| is greater than a given certain threshold value Δ, the point is considered as a singular point;
the value of the threshold Δ can be obtained by the following methods:
mode 1-1, empirical threshold, generally, the adjustment amplitude is less than 30%;
in the mode 1-2, the adjustment factors of the N neighborhood non-singular points of the point are averaged, wherein N is generally 4 or 8;
mode 1-3, the adjustment factor of the distance pixel non-singular point of the point is averaged, and may be city distance, euclidean distance or other.
Step 2, the singular point processing is divided into two conditions:
step 2-1, when the brightness L (x, y) =0 acquired by the point (x, y), the point is considered as a dead point of the OLED screen, and the brightness L of the point is determined b (x, y) is calculated by the following formula:
Figure BDA0002074586620000032
l (i, j) is the brightness value of the adjusted point (x, y), and the point is selected according to the step 1, wherein N is the number of the selected points (N is more than or equal to 8). The brightness L (i, j) of the peripheral point is updated to
Figure BDA0002074586620000033
The point (i, j) uses the updated luminance to calculate the adjustment factor.
Step 2-2, when the brightness L (x, y) collected by the point (x, y) is not equal to 0, calculating the estimated gray scale of the point by the following formula;
Figure BDA0002074586620000034
the selection of the point (i, j) can refer to the threshold calculation in step 1, g (i, j) is the estimated gray level of the point after adjustment, and the adjustment factor ω (x, y) of the point is obtained by the following formula
Figure BDA0002074586620000035
In summary, the method locally judges and processes the singularity of the OLED screen, is simple and convenient to operate and convenient to realize, can eliminate the point mura, and improves the precision and uniformity of the Demura.
While the invention has been described with reference to exemplary embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the invention. In addition, many modifications may be made to adapt a particular situation or material to the teachings of the invention without departing from the essential scope thereof. Therefore, it is intended that the invention not be limited to the particular embodiment disclosed, but that the invention will include all embodiments falling within the scope of the appended claims.

Claims (3)

1. A singular point processing method for an OLED screen DeMURA is characterized by comprising the following steps: the method comprises the following steps:
step 1, judging singular points,
when Demura is carried out on an OLED screen, an adjusting factor omega (x, y) of a point (x, y) is calculated, when the adjusting amplitude | omega (x, y) -1| is larger than a given certain threshold value delta, the point is considered as a singular point,
step 2, singular point processing is carried out,
step 2-1, when the brightness L (x, y) =0 acquired by the point (x, y), the point is a dead point of the OLED screen, and the brightness L of the point is b (x, y) is:
Figure FDA0002074586610000011
l (i, j) is the adjusted brightness value of the point (x, y), N is the number of the selected points, and the brightness L (i, j) of the peripheral points is updated to
Figure FDA0002074586610000012
Calculating an adjustment factor by using the updated brightness at the point (i, j);
step 2-2, when the brightness L (x, y) collected by the point (x, y) is not equal to 0, the estimated gray level of the point is as follows;
Figure FDA0002074586610000013
the selection of the point (i, j) refers to the threshold calculation in step 1, g (i, j) is the estimated gray level of the point after adjustment, and the adjustment factor ω (x, y) of the point is:
Figure FDA0002074586610000014
2. the singular point processing method for the OLED screen DeMURA according to claim 1, wherein: in step 1, the method for calculating the adjustment factor ω (x, y) of the point (x, y) includes: acquiring brightness information of the OLED screen to obtain an actual gray value g (x, y) of the mobile phone screen, and calculating adjustment factors of the point (x, y) according to the gray value g' (x, y) driven by the OLED screen
Figure FDA0002074586610000015
3. The singular point processing method for the OLED screen DeMURA according to claim 1, wherein: in the step 1, the value of the threshold value Δ is obtained by the following method:
1-1, adjusting the amplitude to be less than 30% by using an empirical threshold;
in the mode 1-2, the adjustment factors of n neighborhood non-singular points of the point (x, y) are averaged, and n is 4 or 8;
mode 1-3, the adjustment factors for the distance pixel non-singular points for point (x, y) are averaged, and the distance is the city distance or Euclidean distance.
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CN106200047A (en) * 2016-08-29 2016-12-07 武汉精测电子技术股份有限公司 A kind of method of TFT LCD Mura defects detection based on GPU
CN106530292A (en) * 2016-10-28 2017-03-22 鞍钢未来钢铁研究院 Strip steel surface defect image rapid identification method based on line scanning camera

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CN106200047A (en) * 2016-08-29 2016-12-07 武汉精测电子技术股份有限公司 A kind of method of TFT LCD Mura defects detection based on GPU
CN106530292A (en) * 2016-10-28 2017-03-22 鞍钢未来钢铁研究院 Strip steel surface defect image rapid identification method based on line scanning camera

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