Method for evaluating brightness measuring precision of DeMura equipment

Abstract

The invention discloses a method for evaluating the brightness measuring precision of DeMura equipment. A random number is added to an original grayscale image to generate a noise-added image, a measuring value corresponding to the added random number is obtained via the noise-added image displayed by the DeMura equipment, the brightness measuring precision of the DeMura equipment is evaluated according to correlation between the measuring value and the originally added random number, and the brightness extracting performance of the DeMura equipment. Compared with SNR or CrossTalk test evaluation methods in the prior art, the method of the invention can obtain deviation of the measuring value from a practical value, and can be used to reflect the practical performance of the DeMura equipment quantitatively.

Description

technical field [0001] The invention belongs to the technical field of OLED display panel defect identification, and more specifically relates to a method for evaluating the measurement accuracy of brightness data of DeMura equipment. Background technique [0002] OLED (Organic Light Emitting Diode) Demura (Mura Elimination) equipment is used to extract the brightness of OLED panels, calculate compensation data, perform external compensation for Mura defects that occur in OLED panel production, reduce or eliminate Mura defects, and improve product display effects and yields . Since the difference in the brightness extraction accuracy of Demura devices will directly affect the compensation effect, it is necessary to evaluate the performance of this type of device; the accuracy here refers to the accuracy of the sub-pixel brightness extraction of the display panel, that is, the sub-pixel brightness of the display panel The deviation between the measured value and the true val...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, the performance evaluation of OLED DeMura equipment uses methods such as SNR, crosstalk value, and human eye viewing compensation effect, but there is no unified standard

The SNR index can reflect the measurement repeatability of DeMura equipment, that is, the deviation of multiple measurement values, but it cannot accurately reflect the measurement accuracy of DeMura equipment, that is, the deviation between the measured value and the true value

The crosstalk value index can reflect the measurement space accuracy of Demura equipment, but it also cannot accurately reflect the measurement accuracy of Demura equipment

The way the human eye sees the compensation effect is the ultimate standard for detecting the quality of Demura equipment, but it is affected by human subjective feelings and interfered by the compensation algorithm, so it is difficult to quantify and implement

[0004] Existing technology cannot accurately evaluate the repair effect of DeMura equipment on Sandy Mura (sandy Mura) and other Mura; testing, scientific research and production in the field of LCD panels have put forward an urgent need for technologies that accurately evaluate the measurement accuracy of DeMura equipment brightness data

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