A system and method for LCD crosstalk suppression by edge pixel grayscale adjustment

Abstract

The application discloses an LCD crosstalk suppression system and method through edge pixel gray scale adjustment, and the system comprises an edge pixel identification module configured to identify the pixel area of the display character edge through an image processing algorithm; a gray scale adjustment module connected to the edge pixel identification module, which adjusts the gray scale value of the edge pixel according to a preset adjustment strategy; and a display control module connected to the gray scale adjustment module, which sends the adjusted pixel data to the LCD for display. Through the cooperative work of the edge pixel identification module and the gray scale adjustment module, the application realizes effective suppression of the LCD crosstalk phenomenon and significantly improves the display quality. The adaptive threshold algorithm is adopted for edge detection, improving the accuracy and flexibility of edge pixel identification and adapting to the needs of different display scenarios. The application of the piecewise linear adjustment strategy makes the gray scale adjustment more precise, can more effectively suppress the crosstalk phenomenon and improve the display effect.

Description

Technical Field

[0001] This invention belongs to the field of human-computer interaction (HMI) display technology, and specifically relates to an LCD crosstalk suppression system and method by adjusting the grayscale of edge pixels. Background Technology

[0002] With the continuous development of human-computer interaction technology, HMI (Human Machine Interface) is increasingly widely used in industrial automation, automotive electronics, consumer electronics, and other fields. As the primary display device for HMIs, the display effect of LCD (Liquid Crystal Display) directly impacts the user experience. However, in certain scenarios, horizontal or vertical white lines may appear on LCDs when displaying characters, such as... Figure 1 As shown, this refers to horizontal and vertical crosstalk, a phenomenon particularly common in IPS LCDs. Crosstalk not only affects display quality but can also reduce the accuracy of user operations and even lead to serious consequences in certain safety-critical applications.

[0003] Crosstalk is essentially a signal interference phenomenon, manifesting as the displayed content in one area of ​​the screen abnormally affecting the display effect of adjacent areas. In particular, different inversion methods of IPS LCDs can exacerbate crosstalk, such as... Figure 2 As shown, this illustrates the COM pole anomaly caused by capacitive coupling effect in row inversion mode.

[0004] This phenomenon not only causes visible uneven brightness or color distortion in the image, but more seriously, it directly affects the yield rate of the product.

[0005] Crosstalk occurs when a solid-color background is surrounded by a patch of another color, causing changes in the brightness of adjacent areas and resulting in image distortion.

[0006] Crosstalk is influenced by the human eye's perception of brightness, and it is relatively easy to observe against a mid-grayscale background. In particular, crosstalk around a black square displayed in the center of a white image is more readily apparent.

[0007] Crosstalk classification: Crosstalk phenomena are classified into horizontal and vertical types, such as... Figure 1 As shown, in the case of a grayscale background with a black square in the middle, the classification is as follows: Vertical crosstalk, the upper and lower areas become darker due to the influence of the black square; Horizontal crosstalk, the left and right areas become brighter due to the influence of the black square.

[0008] Existing solutions to LCD crosstalk mainly include optimizing drive circuit design, adjusting liquid crystal material properties, and improving electrode layout. However, these solutions often require complex hardware modifications or material replacements, resulting in high costs and implementation difficulties. Furthermore, while some solutions can alleviate crosstalk to some extent, they are difficult to completely eliminate, especially under extreme display conditions (such as high brightness and high contrast), where crosstalk remains a prominent issue.

[0009] Existing HMI LCD display systems still have significant technical limitations in dealing with crosstalk issues, mainly in the following four aspects: First, existing solutions mostly rely on hardware modifications or material replacements, which are costly and time-consuming to implement. Because they require redesigning the driver circuit or replacing the liquid crystal material, these solutions not only increase manufacturing costs but also extend product development cycles, making it difficult to meet rapidly changing market demands.

[0010] Secondly, existing solutions have limited effectiveness in suppressing crosstalk, especially under extreme display conditions where crosstalk remains a prominent issue. Although some solutions can alleviate crosstalk to some extent by optimizing the drive waveform or adjusting the electrode spacing, crosstalk remains significant under extreme conditions such as high brightness and high contrast, affecting display quality.

[0011] Third, existing solutions lack flexibility and are difficult to adapt to the needs of different display scenarios. Since different application scenarios have different requirements for display effects, existing solutions often cannot provide personalized crosstalk suppression strategies, resulting in poor suppression effects in some scenarios and over-suppression in others, affecting the display effect.

[0012] Fourth, in order to adapt to industry changes and competition, IPS LCD glass manufacturers are constantly introducing new manufacturing processes and new materials, which makes the crosstalk improvement measures mentioned above ineffective.

[0013] The aforementioned defects collectively restrict the further development of HMI LCD display technology, affecting user operating experience and perception, and urgently require a new method with efficient, flexible and low-cost crosstalk suppression capabilities to overcome these limitations. Summary of the Invention

[0014] The purpose of this invention is to provide an LCD crosstalk suppression system and method that uses edge pixel grayscale adjustment to overcome the horizontal and vertical crosstalk problems that occur when displaying characters on an LCD in an HMI. This method is particularly suitable for IPS LCD display technology and effectively suppresses crosstalk by adjusting the grayscale of edge pixels.

[0015] The technical solution of this invention is: An LCD crosstalk suppression system based on edge pixel grayscale adjustment includes: The edge pixel recognition module is configured to identify the pixel region of the displayed character edge using an image processing algorithm; The grayscale adjustment module is connected to the edge pixel recognition module and adjusts the grayscale value of the edge pixels according to the preset adjustment strategy. It also includes a display control module, which is connected to the grayscale adjustment module to send the adjusted pixel data to the LCD for display.

[0016] Preferably, the edge pixel recognition module uses an adaptive threshold algorithm for edge detection; the adaptive threshold algorithm dynamically adjusts the threshold according to the brightness distribution of the currently displayed image to ensure accurate recognition of character edges under different brightness conditions.

[0017] Preferably, the grayscale adjustment module uses a piecewise linear adjustment strategy to adjust the grayscale value of edge pixels; the piecewise linear adjustment strategy divides the edge pixels into multiple regions according to the distance between the edge pixels and the character center, and each region uses a different adjustment coefficient for grayscale adjustment.

[0018] Preferably, the display control module integrates a real-time feedback mechanism to dynamically adjust the grayscale adjustment strategy according to the display effect; when crosstalk is detected to still exist, the display control module sends an adjustment command to the grayscale adjustment module to increase or decrease the adjustment coefficient until the crosstalk is completely suppressed.

[0019] An LCD crosstalk suppression method based on edge pixel grayscale adjustment includes the following steps: S1. Edge pixel recognition: Identifies the edge pixel regions in the image to be displayed that display characters; S2. Grayscale adjustment: According to the preset adjustment strategy, the grayscale value of the edge pixel area is adjusted to reduce the crosstalk phenomenon caused by capacitive coupling effect. S3, Display Control: Sends the pixel data after adjusting the grayscale value to the LCD for display.

[0020] Preferably, in step S1, the edge pixel recognition adopts an adaptive threshold algorithm, including: obtaining the brightness distribution of the currently displayed image, dynamically calculating a threshold based on the brightness distribution, and identifying pixels with brightness higher than the threshold as edge pixels.

[0021] Preferably, in step S2, the preset adjustment strategy is a piecewise linear adjustment strategy, which includes: dividing the edge pixels into multiple regions based on the distance between the edge pixels and the character center, setting different grayscale adjustment coefficients for each region, and adjusting the grayscale values ​​of the edge pixels in the corresponding regions based on the grayscale adjustment coefficients.

[0022] Preferably, it also includes step S4: real-time feedback adjustment; Step S4 includes: when the adjusted image is displayed on the LCD, detecting the crosstalk suppression effect; if the crosstalk phenomenon is not completely eliminated, dynamically adjusting the adjustment strategy in step S2 and returning to step S2 until the crosstalk phenomenon is suppressed.

[0023] Preferably, it also includes a step S0: calibration mode; Step S0 includes: displaying a series of preset test patterns and performing steps S1 to S3 on the test patterns; automatically optimizing and storing the adjustment strategy parameters in step S2 based on the crosstalk suppression processing results of the test patterns for subsequent normal display.

[0024] Preferably, in step S2, the preset adjustment strategy supports user customization; the user sets or modifies the parameters of the adjustment strategy through the user interface, and the system will adjust the parameters based on the user settings.

[0025] The beneficial effects of this invention are: 1. This invention achieves effective suppression of crosstalk in HMI LCDs through the coordinated operation of the edge pixel recognition module and the grayscale adjustment module, thus significantly improving display quality.

[0026] 2. An adaptive threshold algorithm is used for edge detection, which improves the accuracy and flexibility of edge pixel recognition and adapts to the needs of different display scenarios.

[0027] 3. The application of the piecewise linear adjustment strategy makes grayscale adjustment more precise, can more effectively suppress crosstalk, and improve display effect.

[0028] 4. The integration of a real-time feedback mechanism enables the display control module to dynamically adjust the grayscale adjustment strategy based on the display effect, ensuring that the best display effect is maintained under different display conditions.

[0029] 5. The introduction of calibration mode enables this method to adapt to the needs of different display environments and provide a more stable crosstalk suppression effect.

[0030] 6. The support for user-defined adjustment strategies enables this method to provide more personalized crosstalk suppression solutions to meet the needs of different users.

[0031] 7. The method of the present invention achieves crosstalk suppression through software algorithms, without the need for complex hardware modifications or material replacements, and is low in cost and flexible in implementation.

[0032] 8. The method of the present invention has wide applicability and can be applied to various types of HMI LCD display devices, thereby improving the market competitiveness of the products.

[0033] 9. The implementation of the method of the present invention helps to promote the further development of HMI LCD display technology and improve user experience and operational accuracy. Attached Figure Description

[0034] The present invention will be further described below with reference to the accompanying drawings and embodiments: Figure 1 This is a schematic diagram of vertical crosstalk and horizontal crosstalk; Figure 2 This is a schematic diagram illustrating the impact of the reversal method on crosstalk; Figure 3 This is a flowchart of the LCD crosstalk suppression method of the present invention. Detailed Implementation

[0035] like Figure 3 As shown, the core of this invention lies in proposing an LCD crosstalk suppression system and method through edge pixel grayscale adjustment, aiming to solve the technical problem of horizontal and vertical crosstalk caused by the strong correlation between capacitive coupling and electrode spacing in the prior art. This method identifies the pixel regions at the edges of displayed characters and specifically adjusts the grayscale values ​​of these edge pixels to weaken the capacitive coupling effect, thereby suppressing crosstalk. Example 1

[0036] This embodiment provides an LCD crosstalk suppression system based on edge pixel grayscale adjustment. The system includes an edge pixel recognition module, a grayscale adjustment module, and a display control module.

[0037] The edge pixel recognition module employs an adaptive threshold algorithm for edge detection. It first reads the brightness data of the currently displayed image, then dynamically adjusts the threshold based on the brightness distribution, identifying pixels with brightness exceeding the threshold as character edge pixels. Through this adaptive threshold algorithm, the edge pixel recognition module can adapt to the needs of different display scenarios, improving the accuracy and flexibility of crosstalk suppression.

[0038] The grayscale adjustment module adjusts the grayscale values ​​of edge pixels according to a preset piecewise linear adjustment strategy. This strategy divides the edge pixels into multiple regions based on their distance from the character center, and each region is adjusted using a different adjustment coefficient. Through this piecewise linear adjustment strategy, the grayscale adjustment module can more precisely control the grayscale changes of edge pixels, thereby more effectively suppressing crosstalk.

[0039] The display control module sends the adjusted pixel data to the LCD for display and integrates a real-time feedback mechanism that dynamically adjusts the grayscale adjustment strategy based on the display effect. When crosstalk is detected, the display control module sends an adjustment command to the grayscale adjustment module, increasing or decreasing the adjustment coefficient until the crosstalk is completely suppressed. Through the real-time feedback mechanism, the display control module ensures that the LCD maintains optimal display performance under different display conditions.

[0040] This embodiment of the system employs an adaptive threshold algorithm and a piecewise linear adjustment strategy, enabling the system to accurately identify character edges and finely adjust the grayscale values ​​of edge pixels, thereby effectively suppressing crosstalk. Example 2

[0041] This embodiment further optimizes the adaptive threshold algorithm of the edge pixel recognition module based on Embodiment 1. Specifically, this embodiment introduces a threshold adjustment method based on local statistical characteristics. This method dynamically adjusts the threshold according to the magnitude of the standard deviation based on the mean and standard deviation of the brightness of the local area. When the brightness distribution of the local area is relatively uniform, a smaller threshold is used to avoid misidentification; when the brightness distribution of the local area is relatively dispersed, a larger threshold is used to ensure accurate recognition of character edges. By introducing a threshold adjustment method based on local statistical characteristics, this embodiment further improves the accuracy and robustness of edge pixel recognition, especially in display scenarios with uneven brightness distribution. It is precisely because of the use of the optimized adaptive threshold algorithm that this system can more accurately identify character edges, providing a more reliable basis for subsequent grayscale adjustment. Example 3

[0042] This embodiment further optimizes the piecewise linear adjustment strategy of the grayscale adjustment module based on Embodiments 1 and 2. Specifically, this embodiment introduces a user feedback-based adjustment coefficient optimization method. This method automatically adjusts the adjustment coefficients in the piecewise linear adjustment strategy by collecting user feedback on the display effect. When the user reports that the display effect is too bright or too dark, the system automatically increases or decreases the adjustment coefficients in the corresponding areas to improve the display effect. By introducing a user feedback-based adjustment coefficient optimization method, this embodiment enables the grayscale adjustment module to better meet the actual needs of users and provide a more personalized crosstalk suppression solution. It is precisely because of the optimized piecewise linear adjustment strategy that this system can dynamically adjust the grayscale values ​​according to user feedback, further improving display quality and user experience. Example 4

[0043] This embodiment further adds a calibration mode based on Embodiments 1, 2, and 3. In calibration mode, the system displays a series of test patterns, including patterns with different brightness, contrast, and character sizes. The edge pixel recognition module and grayscale adjustment module perform crosstalk suppression processing on these test patterns and automatically adjust the parameters in the grayscale adjustment strategy based on the processing results. Specifically, the system records the optimal adjustment coefficients under different test patterns and stores these coefficients as calibration parameters. In subsequent normal display mode, the system calls the corresponding calibration parameters to perform grayscale adjustment according to the current display environment. By introducing a calibration mode, this embodiment enables the system to adapt to the needs of different display environments and provide a more stable crosstalk suppression effect. It is precisely because of the adoption of the calibration mode that the system can maintain the best display effect in different display environments. Example 5

[0044] This embodiment further enhances upon embodiments 1, 2, 3, and 4 by adding a user-defined adjustment strategy function. Specifically, this embodiment adds an adjustment strategy setting option to the user interface, allowing users to set the adjustment coefficients of the grayscale adjustment module or the parameters of the piecewise linear adjustment strategy according to personal preferences or the needs of specific application scenarios. The system saves the user-set parameters as custom adjustment strategies and prioritizes these strategies for grayscale adjustment during subsequent display processes. By introducing the user-defined adjustment strategy function, this embodiment enables the system to provide a more personalized crosstalk suppression solution, meeting the needs of different users. It is precisely because of the adoption of the user-defined adjustment strategy function that the system can more flexibly adapt to the needs of different users, enhancing the product's market competitiveness.

[0045] The above embodiments are only for illustrating the technical concept and features of the present invention, and are intended to enable those skilled in the art to understand the content of the present invention and implement it accordingly. They should not be construed as limiting the scope of protection of the present invention. All modifications made according to the spirit and essence of the main technical solution of the present invention should be covered within the scope of protection of the present invention.

Claims

1. An LCD crosstalk suppression system based on edge pixel grayscale adjustment, characterized in that, include: The edge pixel recognition module is configured to identify the pixel region of the displayed character edge using an image processing algorithm; The grayscale adjustment module is connected to the edge pixel recognition module and adjusts the grayscale value of the edge pixels according to the preset adjustment strategy. It also includes a display control module, which is connected to the grayscale adjustment module to send the adjusted pixel data to the LCD for display.

2. The LCD crosstalk suppression system by adjusting edge pixel grayscale according to claim 1, characterized in that, The edge pixel recognition module uses an adaptive threshold algorithm for edge detection; The adaptive thresholding algorithm dynamically adjusts the threshold based on the brightness distribution of the currently displayed image, ensuring accurate recognition of character edges under different brightness conditions.

3. The LCD crosstalk suppression system by adjusting edge pixel grayscale according to claim 1, characterized in that, The grayscale adjustment module uses a piecewise linear adjustment strategy to adjust the grayscale value of edge pixels. The piecewise linear adjustment strategy divides the edge pixels into multiple regions based on the distance between the edge pixels and the character center, and each region uses a different adjustment coefficient for grayscale adjustment.

4. The LCD crosstalk suppression system by adjusting edge pixel grayscale according to claim 1, characterized in that, The display control module integrates a real-time feedback mechanism, which dynamically adjusts the grayscale adjustment strategy according to the display effect. When crosstalk is detected to still exist, the display control module sends an adjustment command to the grayscale adjustment module to increase or decrease the adjustment coefficient until the crosstalk is completely suppressed.

5. A method for suppressing LCD crosstalk by adjusting the grayscale of edge pixels, characterized in that, Includes the following steps: S1. Edge pixel recognition: Identifies the edge pixel regions in the image to be displayed that display characters; S2. Grayscale adjustment: According to the preset adjustment strategy, the grayscale value of the edge pixel area is adjusted to reduce the crosstalk phenomenon caused by capacitive coupling effect. S3, Display Control: Sends the pixel data after adjusting the grayscale value to the LCD for display.

6. The LCD crosstalk suppression method by adjusting edge pixel grayscale according to claim 5, characterized in that, In step S1, the edge pixel recognition adopts an adaptive threshold algorithm, including: obtaining the brightness distribution of the currently displayed image, dynamically calculating a threshold based on the brightness distribution, and identifying pixels with brightness higher than the threshold as edge pixels.

7. The LCD crosstalk suppression method by adjusting edge pixel grayscale according to claim 5, characterized in that, In step S2, the preset adjustment strategy is a piecewise linear adjustment strategy, which includes: dividing the edge pixels into multiple regions based on the distance between the edge pixels and the character center, setting different grayscale adjustment coefficients for each region, and adjusting the grayscale values ​​of the edge pixels in the corresponding regions based on the grayscale adjustment coefficients.

8. The LCD crosstalk suppression method by adjusting edge pixel grayscale according to claim 5, characterized in that, It also includes step S4: real-time feedback adjustment; Step S4 includes: when the adjusted image is displayed on the LCD, detecting the crosstalk suppression effect; if the crosstalk phenomenon is not completely eliminated, dynamically adjusting the adjustment strategy in step S2 and returning to step S2 until the crosstalk phenomenon is suppressed.

9. The LCD crosstalk suppression method by adjusting edge pixel grayscale according to claim 5, characterized in that, It also includes a step S0: calibration mode; Step S0 includes: displaying a series of preset test patterns and performing steps S1 to S3 on the test patterns; automatically optimizing and storing the adjustment strategy parameters in step S2 based on the crosstalk suppression processing results of the test patterns for subsequent normal display.

10. The LCD crosstalk suppression method by adjusting edge pixel grayscale according to claim 5, characterized in that, In step S2, the preset adjustment strategy can be customized by the user; the user sets or modifies the parameters of the adjustment strategy through the user interface, and the system will be based on the user settings.

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