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Inverse Gamma dynamic mapping algorithm

A dynamic mapping and algorithm technology, applied to static indicators, instruments, etc., can solve problems such as low efficiency, large amount of calculation, and difficulty in achieving real-time effects

Active Publication Date: 2019-12-06
深圳博邦诚光电有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The steps that Gamma correction must perform include normalization processing, compensation processing, and denormalization processing. After normalization processing, compensation processing, and denormalization processing, the pixel values ​​​​in the image are corrected to correspond to the results. It is unique and still falls within the range of 0-255 (binary 8-bit data standard interval), but if the correlation calculation of normalization processing, compensation processing and denormalization processing is performed for each calibration, the computational load will be relatively large , the efficiency is too low to achieve real-time effect

Method used

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Embodiment 1

[0041] This embodiment provides an anti-Gamma dynamic mapping algorithm, such as figure 1 to show:

[0042] Include the following steps:

[0043] S1. Obtain the gray value Pin of the LED input signal;

[0044] S2. According to the gray value Pin, calculate the gray statistical value Pout of the set pixel line segment of the screen, and obtain the highest gray level sum Pconst of the set pixel line segment;

[0045] S3. Calculate the gray ratio S according to the gray statistical value Pout of the set pixel line segment and the highest gray sum Pconst, wherein S=Pout / Pconst×100%

[0046] S4. Set the corrected Gamma value interval, obtain the inverse Gamma value interval according to the Gamma value interval, and then calculate the finite value Q according to the inverse Gamma value interval;

[0047] S5. Obtain the inverse Gamma dynamic adjustment increment Δ according to the finite value Q, Δ=QS;

[0048] S6. Set the anti-Gamma dynamic adjustment formula Pcorr=1 / (1+Δ), bri...

Embodiment 2

[0050] As an optimization of the above embodiment, in the step S1, the calculation formula of the LED input signal grayscale value Pin is: Pin=R×0.299+G×0.587+B×0.114, that is, the image is converted from RGB color to grayscale Color calculation formula, where R, G, and B are the parameters of red, green, and blue in the three primary colors.

[0051] In the step S2, the screen sets the pixel line segment as 1 to m lines, and each line of pixels is n, and the calculation formula of the grayscale statistical value Pout is:

[0052]

[0053] The calculation formula of the highest gray level sum Pconst is:

[0054]

Embodiment 3

[0056] As an optimization of the above-mentioned embodiment, when applied to an LED screen, the value of m is 10, and the value of n is 1920. That is to say, each row of LED screen has 1920 pixels. By performing grayscale statistics and processing on this part of the screen image, the edge pixel compensation of the LED screen can be realized, so that the overall final brightness of the screen is more uniform. After the value is taken in this way, the calculation formula of the grayscale statistical value Pout is:

[0057]

[0058] The calculation formula of the highest gray level sum Pconst is:

[0059]

[0060] In step S4, the Gamma value interval is [a, b], wherein a, b are not less than 1, the inverse Gamma value interval is [1 / b, 1 / a], and the finite value Q=1 / a-1 / b ;The typical Gamma value is 1.0 / 2.2, which will make the brightness of the LCD image linear. This is the corrected value of the LCD, but it is obviously brighter when used on the LED. , it is ideal to t...

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Abstract

The invention relates to the technical field of LED image processing and display, in particular to an inverse Gamma dynamic mapping algorithm. The method comprises the following steps: S1, acquiring agray value Pin of an LED input signal; s2, solving a gray scale statistical value Pout and a highest gray scale sum Pconst of a set pixel row segment of the screen; s3, calculating a gray scale ratioS S = Pout / Pconst * 100%; s4, setting a corrected Gamma value interval to obtain an inverse Gamma value interval and a finite value Q; s5, solving an inverse Gamma dynamic adjustment increment delta= QS; and S6, solving a pre-compensation value adjustment value Pcorr according to an inverse Gamma dynamic adjustment formula Pcorr = 1 / (1 + delta). According to the invention, a dynamic adjustmentformula can be provided to quickly and efficiently complete pre-compensation calculation, so that a pre-compensation value which can be brought in in in real time is provided for Gamma correction.

Description

technical field [0001] The invention relates to the technical field of LED image processing and display, in particular to an anti-Gamma dynamic mapping algorithm. Background technique [0002] Gamma comes from the response curve of CRT (monitor / television), that is, the nonlinear relationship between its brightness and input voltage. Due to the inconsistency of the electro-optical characteristics of the red, green and blue colors of the LCD TV display, the color difference of each gray scale is relatively large, and the color of each gray scale needs to be corrected. In particular, the gray scale error in dark field is very obvious, and the color error of each gray scale cannot be eliminated through white balance adjustment. Only after the colors of each gray scale are consistent, can the color temperature be adjusted to the required color temperature through the white balance adjustment of bright and dark fields. On the other hand, the brightness of the LCD TV display is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G09G3/32
CPCG09G3/32
Inventor 李强
Owner 深圳博邦诚光电有限公司