Partition dynamic dimming control system and partition dimming parameter self-learning method

Abstract

The invention belongs to the technical field of backlight module regulation and control, and particularly discloses a partition dynamic dimming control system and a partition dimming parameter self-learning method. A backlight control module; a sensor module; a power management module; through cooperation of the image signal processing module, the backlight control module, the sensor module and the power supply management module, backlight brightness of different areas can be accurately adjusted according to image content, and when a black or dark hue image is displayed, the backlight brightness of the corresponding area is reduced and even can be completely closed, so that the light leakage phenomenon is reduced, and the display quality is improved. According to the backlight module, the brightness of the image is adjusted, the purity of black is improved, the contrast ratio of the image is remarkably improved, specific brightness adjustment can be conducted on the bright part and dark part details in the image through partition dynamic dimming, the phenomenon of uneven brightness or flickering in different areas is reduced, and the dimming cost of the backlight module is reduced.

Description

Technical Field

[0001] The present invention belongs to the technical field of backlight module regulation, and particularly relates to a zoned dynamic dimming control system and a method for self-learning zoned dimming parameters. Background Art

[0002] A backlight module is an optical component located behind a liquid crystal display, used to provide a uniform backlight for the LCD so that the LCD can display clear images. In order to meet the display requirements in different scenarios, it is necessary to perform dimming control on the backlight module according to different usage scenarios and user needs to meet the visual needs of users in different environments.

[0003] Currently, the common dimming method for backlight modules is to adjust the backlight brightness by controlling the duty cycle of a pulse signal. The frequency of the pulse signal is usually high, and the shape of the backlight power supply is quickly changed to change the proportion of the backlight-on time within a unit time, thereby achieving brightness adjustment;

[0004] For example, the patent document with the application number 202410753230.9 discloses a dimming control method, a dimming control module, a backlight module, and a display device. The method includes: a dimming controller generates target data based on first dimming data, and the target data includes PWM dimming data and a judgment flag bit; within a frame display period, the target data is sent to a dimming driver so that the dimming driver selects one of at least two working currents as the target current according to the judgment flag bit, and generates a PWM control signal for driving the backlight to emit light according to the PWM dimming data and the target current. The at least two working currents are sent by the dimming controller during the initialization stage of the dimming driver. Since the current dimming data is sent during the initialization stage, in the subsequent display stage, only the judgment flag bit and the PWM dimming data need to be transmitted to improve the fineness of the PWM dimming data, achieve high-precision dimming, and improve the performance of the display device.

[0005] However, although PWM dimming can achieve high dimming accuracy and fast response speed, during zoned dynamic dimming, since the brightness of each zone needs to be independently controlled, the generation and control of PWM signals will become complex, and the PWM signals between different zones may interfere with each other, resulting in uneven brightness or flicker. Moreover, to achieve fine zoned control, a large amount of hardware resources are required to generate and manage multiple PWM signals, resulting in high costs. Therefore, we need to propose a zoned dynamic dimming control system and a method for self-learning zoned dimming parameters to solve the above problems, enabling it to accurately adjust the backlight brightness of different regions according to the image content, reducing the phenomenon of uneven brightness or flicker in different regions, and reducing the dimming cost of the backlight module. Summary of the Invention

[0006] The object of the present invention is to provide a zoned dynamic dimming control system and a method for self-learning of zoned dimming parameters, which can accurately adjust the backlight brightness of different regions according to the image content, reduce the phenomenon of uneven brightness or flicker in different regions, and reduce the dimming cost of the backlight module, so as to solve the problems raised in the above-mentioned background technology.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] A zoned dynamic dimming control system, comprising: an image signal processing module, which receives an input image signal, divides the image into multiple regions, and calculates the required backlight brightness value for each region according to the image content of each region;

[0009] A backlight control module, which generates a corresponding control signal according to the backlight brightness value output by the image signal processing module to drive each zone in the backlight module;

[0010] A sensor module, which detects the ambient light intensity and the image information on the display screen in real time, and adjusts the backlight brightness according to the environmental changes and the image information;

[0011] A power management module, which is electrically connected to the image signal processing module, the backlight control module and the sensor module respectively. The power management module dynamically distributes the power according to the brightness requirements of each zone to ensure that each zone can obtain appropriate energy supply.

[0012] Preferably, the process of the image signal processing module receiving and dividing the image signal is as follows:

[0013] A1. Receive the image collected by the camera when the backlight module is working, and divide it into multiple rectangular regions according to the width and height of the image;

[0014] A2. Calculate the average brightness value of all pixel points in each rectangular region respectively. The average brightness value is the brightness feature extracted from each region. The calculation formula for the average brightness value is:

[0015] where, L i is the average brightness value, N i is the total number of pixel points in region i, and l ij is the brightness value of the jth pixel point in region i;

[0016] A3. Calculate the average value of the RGB values of all pixel points in each region. The calculation formula for the average value of the RGB values is:

[0017]

[0018] Among them, R i , G i and B i are respectively the average values of the red, green, and blue colors in the RGB space. R ij , G ij and B ij are respectively the component values of the red, green, and blue colors in the RGB space. N i is the total number of pixel points in region i;

[0019] A4. Perform the conversion of saturation S i and hue H i in the HSV space according to the average value of the RGB values. The saturation S i and hue H i are the color characteristics of each region;

[0020] A5. Calculate the required backlight brightness value for each region by combining the brightness characteristics and color characteristics. The calculation formula for the backlight brightness value is:

[0021] Q i = L i * k L + S i * k S + H i * k H + b, where Q i is the backlight brightness value, L i is the average brightness value, k L is the brightness weight coefficient, S i is the color saturation in the HSV space, k S is the color saturation weight coefficient, H i is the hue in the HSV space, k H is the color hue weight coefficient, and b is the offset coefficient.

[0022] Preferably, in step A4, the conversion process of saturation S i and hue H i in the HSV space is as follows:

[0023] A41. Calculate the maximum value Max and the minimum value Min in the RGB color components according to the average value of the RGB values. The calculation formula is:

[0024] Max = max(R i , G i , B i ),

[0025] Min = min(R i , G i , B i );

[0026] A42. Calculate the saturation S based on the maximum value Max and the minimum value Min i , there are the following two cases:

[0027] a) When Max = 0, then S i = 0;

[0028] b) When Max ≠ 0, then

[0029] A43. Calculate the hue H based on the maximum value Max and the minimum value Min i , there are the following five cases:

[0030] 1) When Max = Min, then H i = 0;

[0031] 2) When Max = R i and G i ≥ B i at this time, then

[0032] 3) When Max = R i and G i < B i at this time, then

[0033] 4) When Max = G i at this time, then

[0034] 5) When Max = B i at this time, then

[0035] Preferably, the process of the backlight control module generating the control signal is as follows:

[0036] B1. Set the period T of the PWM signal according to the backlight brightness value received by the image signal processing module for each partition;

[0037] B2. Calculate the duty cycle of the PWM signal for each partition respectively, and calculate the high-level time according to the duty cycle and the period T of the PWM signal. The calculation formula is:

[0038]

[0039] t i = D i * T, where D i is the PWM duty cycle of partition i, Q i is the backlight brightness value of partition i, Q max is the maximum value of the backlight brightness, t iis the high-level time of the PWM signal corresponding to partition i, and T is the period of the PWM signal;

[0040] B3. Generate the PWM signal corresponding to each partition according to the calculated high-level time t i and the fixed PWM period T;

[0041] B4. Send the generated PWM signal to the backlight driving circuit through the corresponding channel, and drive each partition in the backlight module through the backlight driving circuit to adjust the backlight brightness of each partition so that the backlight brightness matches the calculated backlight brightness value Q i matched.

[0042] Preferably, the sensor module includes an image sensor, a photoelectric sensor, and a backlight brightness adjustment unit, and both the image sensor and the photoelectric sensor are electrically connected to the backlight brightness adjustment unit.

[0043] Preferably, the process of the sensor module for adjusting the backlight brightness is as follows:

[0044] C1. Detect the light intensity of the surrounding environment through the photoelectric sensor, convert the optical signal into an electrical signal, and perform amplification processing on the electrical signal. The amplification processing formula is:

[0045] V O = A * V in , where V in is the input electrical signal value, A is the amplification multiple, and V O is the amplified electrical signal value;

[0046] C2. Perform filtering processing on the amplified electrical signal. The electrical signal after filtering is the ambient light intensity electrical signal I. The filtering processing formula is:

[0047] where V Oi is the i-th amplified electrical signal value, M is the number of data detected by the photoelectric sensor, and I is the filtered ambient light intensity value;

[0048] C3. Compare the ambient light intensity I with the preset threshold range and calculate the light intensity adjustment coefficient. There are the following three situations:

[0049] If the ambient light intensity is greater than the upper limit value of the threshold range, the light intensity adjustment coefficient calculation formula is:

[0050] where h e is the light intensity adjustment coefficient, I is the actual light intensity value, and I th1 is the upper limit value of the preset light intensity threshold range;

[0051] When the ambient light intensity is less than the lower limit of the threshold range, the calculation formula for the light intensity adjustment coefficient is:

[0052] Among them, h e is the light intensity adjustment coefficient, I is the actual light intensity value, and I th2 is the lower limit of the preset light intensity threshold range;

[0053] When the ambient light intensity is within the threshold range, the light intensity adjustment coefficient is h e = 1;

[0054] C4. Calculate the average brightness of each monitoring area respectively according to the brightness of the pixel points in each monitoring area. The calculation formula is:

[0055] Among them, L n is the detected average brightness, N n is the total number of pixel points in area n, and l nm is the brightness value of the m-th pixel point in area n;

[0056] C5. Compare the average brightness L n of each monitored area with the average brightness L i of the corresponding area calculated by the image information processing module before, and calculate the brightness difference value. The calculation formula for the brightness difference value is:

[0057] ΔL = L n - L i , where ΔL is the brightness difference value;

[0058] C6. Adjust the backlight brightness according to the light intensity adjustment coefficient h e and the brightness difference value ΔL, so that the adjusted backlight brightness meets the requirements of the current image display and ambient light conditions.

[0059] Preferably, in step C6, the backlight brightness adjustment process is as follows:

[0060] C61. Make a preliminary adjustment to the backlight brightness of all partitions according to the light intensity adjustment coefficient h e . The adjustment formula is:

[0061] Q new = h e * Q i , where Q new is the backlight brightness value after preliminary adjustment, and Q i is the backlight brightness value before adjustment;

[0062] C62. Compare the calculated brightness difference value with the preset brightness difference value. If the absolute value of the brightness difference value is less than or equal to the preset brightness difference value, the initially adjusted backlight brightness value is the adjusted brightness value. If the absolute value of the brightness difference value is greater than the preset brightness difference value, feedback the difference result to the image signal processing module;

[0063] C63. Based on the feedback information, the image signal processing module recalculates the backlight brightness value of this area in combination with the color characteristics and brightness characteristics of this area, and sends the new backlight brightness value to the control module;

[0064] C64. The backlight control module compares the received new backlight brightness value with the initially adjusted brightness value and returns to step C62.

[0065] Preferably, the process of the power management module for dynamic power distribution is as follows:

[0066] D1. According to the brightness requirements of each partition provided by the backlight control module, calculate the power required for each partition. The power calculation formula is:

[0067] where Q i is the backlight brightness value required for partition i, P i is the power required for partition i, and η is the luminous efficiency of the backlight module;

[0068] D2. According to the power P i and the voltage range of the power supply, calculate the minimum current I imin required for each partition. The calculation formula is: where V max is the upper limit value of the power supply voltage range;

[0069] D3. Adjust the minimum current value according to the actual situation. When the voltage and current meet the regional power supply requirements, use the voltage and current values that meet the power supply requirements as the power supply current and voltage for this area;

[0070] D4. According to the calculated voltage and current requirements of each partition, distribute the total power supply power to each partition to ensure that each partition can obtain appropriate energy supply.

[0071] Preferably, in step D3, the regional power supply requirement determination formula is: P i = B i * I i and V min ≤ V i ≤ V max where V max is the upper limit value of the power supply voltage range, V min is the lower limit value of the power supply voltage range, Pi The power required for partition i, V i and I i are the voltage and current values that meet the power supply requirements respectively.

[0072] Based on the above-described partition dynamic dimming control system, the present invention also provides a method for self-learning partition dimming parameters, including the following steps:

[0073] S1. After the system starts, perform initialization operations on the image signal processing module, backlight control module, sensor module, and power management module;

[0074] S2. Receive the input image signal through the image signal processing module, then divide the image signal into multiple regions, and obtain the characteristic parameters of each region. The characteristic parameters include the average brightness value, color saturation, and hue of each region;

[0075] S3. Real-time monitor the ambient light intensity through the sensor module, and calculate the backlight brightness value of each region according to the characteristic parameters of the image region and the ambient light intensity;

[0076] S4. Generate corresponding control signals through the backlight control module according to the calculated backlight brightness values, and drive each region in the backlight module through the control signals;

[0077] S5. Real-time monitor the image information of the backlight module through the sensor module, and feedback the brightness information of the actually displayed image region to the image signal processing module;

[0078] S6. Confirm whether there is a deviation between the actual backlight brightness and the calculated target backlight brightness. If there is no deviation, maintain the actual backlight brightness value for display; if there is a deviation, adjust the backlight brightness value by increasing or decreasing according to the deviation value;

[0079] S7. The power management module precisely adjusts the voltage and current of the backlight power supply for different partitions according to the requirements of the backlight control module, so as to dynamically allocate the power according to the brightness requirements of each partition;

[0080] S8. Statistically analyze the optimal dimming parameters of different types of images under different ambient light conditions, adjust the weight coefficients according to the optimal dimming parameters, so that the system can better adapt to various scenarios, and real-time monitor the actual backlight brightness after adjustment, and then return to S6.

[0081] The partition dynamic dimming control system and the method for self-learning partition dimming parameters proposed by the present invention have the following advantages compared with the prior art:

[0082] 1. Through the coordinated cooperation of the image signal processing module, backlight control module, sensor module, and power management module, the present invention can precisely adjust the backlight brightness of different regions according to the image content. When displaying black or dark tone images, it reduces the backlight brightness of the corresponding regions and can even turn it off completely, thereby reducing light leakage, improving the purity of black, and significantly enhancing the contrast of the image. For bright parts and dark details in the image, targeted brightness adjustment can be performed through zoned dynamic dimming, reducing uneven brightness or flickering in different regions and reducing the dimming cost of the backlight module.

[0083] 2. The present invention only provides sufficient backlight brightness to the regions where content needs to be displayed, while reducing the backlight brightness for black or dark tone regions, avoiding energy waste caused by global uniform lighting in traditional backlight modules, and effectively reducing power consumption without affecting the visual effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0084] Figure 1 Shows a system block diagram of a zoned dynamic dimming control system according to an embodiment of the present invention;

[0085] Figure 2 Shows a flowchart of image signal reception and division by the image signal processing module according to an embodiment of the present invention;

[0086] Figure 3 Shows a flowchart of control signal generation by the backlight control module according to an embodiment of the present invention;

[0087] Figure 4 Shows a flowchart of backlight brightness adjustment by the sensor module according to an embodiment of the present invention;

[0088] Figure 5 Shows a flowchart of dynamic power distribution by the power management module according to an embodiment of the present invention;

[0089] Figure 6 Shows a flowchart of a zoned dimming parameter self-learning method according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0090] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.

[0091] The present invention provides as Figures 1 - 5The partition dynamic dimming control system shown includes an image signal processing module, a backlight control module, a sensor module, and a power management module. The image signal processing module receives the input image signal, divides the image signal into multiple regions, and calculates the required backlight brightness value for each region according to the image content of each region.

[0092] As Figure 2 shown, the process of the image signal processing module receiving and dividing the image signal is as follows:

[0093] A1. Receive the image of the backlight module during operation collected by the camera, and divide it into multiple rectangular regions according to the width and height of the image;

[0094] A2. Calculate the average brightness value of all pixel points in each rectangular region respectively. The average brightness value is the brightness feature extracted from each region. The calculation formula for the average brightness value is:

[0095] where L i is the average brightness value, N i is the total number of pixel points in region i, and l ij is the brightness value of the jth pixel point in region i;

[0096] A3. Calculate the average value of the RGB values of all pixel points in each region. The calculation formula for the average value of the RGB values is:

[0097]

[0098] where R i 、G i and B i are the average values of the red, green, and blue colors in the RGB space respectively, R ij 、G ij and B ij are the component values of the red, green, and blue colors in the RGB space respectively, and N i is the total number of pixel points in region i;

[0099] A4. Perform the conversion of the saturation S i and hue H i in the HSV space according to the average value of the RGB values. The saturation S i and hue H i are the color features of each region;

[0100] The process of converting the saturation S i and hue H i in the HSV space is as follows:

[0101] A41. Calculate the maximum value Max and the minimum value Min in the RGB color components based on the average value of the RGB values. The calculation formula is:

[0102] Max = max(R i , G i , B i ),

[0103] Min = min(R i , G i , B i );

[0104] A42. Calculate the saturation S based on the maximum value Max and the minimum value Min i , and there are the following two cases:

[0105] a) When Max = 0, then S i = 0;

[0106] b) When Max ≠ 0, then

[0107] A43. Calculate the hue H based on the maximum value Max and the minimum value Min i , and there are the following five cases:

[0108] 1) When Max = Min, then H i = 0;

[0109] 2) When Max = R i and G i ≥ B i at this time, then

[0110] 3) When Max = R i and G i < B i at this time, then

[0111] 4) When Max = G i at this time, then

[0112] 5) When Max = B i at this time, then

[0113] A5. Combine the brightness feature and the color feature to calculate the required backlight brightness value for each area. The backlight brightness value calculation formula is:

[0114] Q i = L i * k L + S i * k S + Hi *k H +b, where Q i is the backlight brightness value, L i is the average brightness value, k L is the brightness weight coefficient, S i is the color saturation in the HSV space, k S is the color saturation weight coefficient, H i is the hue in the HSV space, k H is the color hue weight coefficient, b is the bias coefficient, k L 、k S 、k H and b are adjusted and optimized according to the actual display effect and user feedback;

[0115] By effectively combining the brightness feature and the color feature, the backlight brightness value required for each area is calculated more accurately, thereby improving the effect of zoned dynamic dimming and the display quality.

[0116] The backlight control module generates corresponding control signals according to the backlight brightness value output by the image signal processing module to drive each zone in the backlight module;

[0117] As Figure 3 shown, the process of generating control signals by the backlight control module is as follows:

[0118] B1. According to the backlight brightness value received by the image signal processing module for each zone, set the period T of the PWM signal;

[0119] B2. Calculate the duty cycle of the PWM signal for each zone respectively, and calculate the high-level time according to the duty cycle and the period T of the PWM signal. The calculation formula is:

[0120]

[0121] t i = D i * T, where D i is the PWM duty cycle of zone i, Q i is the backlight brightness value of zone i, Q max is the maximum value of the backlight brightness, t i is the high-level time of the PWM signal corresponding to zone i, and T is the period of the PWM signal;

[0122] B3. Generate the PWM signal corresponding to each zone according to the calculated high-level time t i and the fixed PWM period T;

[0123] B4. Send the generated PWM signal to the backlight driving circuit through the corresponding channel, and drive each partition in the backlight module through the backlight driving circuit to adjust the backlight brightness of each partition so that the backlight brightness matches the calculated backlight brightness value Q. i Among them, the backlight driving circuit can amplify and convert the PWM signal to meet the driving requirements of the backlight module.

[0124] The sensor module detects the ambient light intensity and the image information on the display screen in real time, and adjusts the backlight brightness according to the environmental changes and image information.

[0125] The sensor module includes an image sensor, a photoelectric sensor, and a backlight brightness adjustment unit. The image sensor and the photoelectric sensor are both electrically connected to the backlight brightness adjustment unit. The image sensor monitors the image displayed by the backlight module in real time and obtains the brightness and color of each pixel point. The photoelectric sensor detects the ambient light intensity based on the photoelectric effect, converts the optical signal into an electrical signal to obtain environmental data. The backlight brightness adjustment unit dynamically adjusts the backlight brightness according to the image data and environmental data.

[0126] As Figure 4 shown, the process of the sensor module adjusting the backlight brightness is as follows:

[0127] C1. Detect the ambient light intensity through the photoelectric sensor, convert the optical signal into an electrical signal, and perform amplification processing on the electrical signal. The amplification processing formula is:

[0128] V O = A * V in , where V in is the input electrical signal value, A is the amplification multiple, and V O is the amplified electrical signal value.

[0129] C2. Perform filtering processing on the amplified electrical signal. The electrical signal after filtering is the ambient light intensity electrical signal I. The filtering processing formula is:

[0130] Among them, V Oi is the i-th amplified electrical signal value, M is the number of data detected by the photoelectric sensor, and I is the filtered ambient light intensity value.

[0131] C3. Compare the ambient light intensity I with the preset threshold range and calculate the light intensity adjustment coefficient. There are the following three situations:

[0132] If the ambient light intensity is greater than the upper limit value of the threshold range, the light intensity adjustment coefficient calculation formula is:

[0133] Among them, h e is the light intensity adjustment coefficient, I is the actual light intensity value, and I th1 is the upper limit value of the preset light intensity threshold range;

[0134] If the ambient light intensity is less than the lower limit value of the threshold range, the calculation formula for the light intensity adjustment coefficient is:

[0135] Among them, h e is the light intensity adjustment coefficient, I is the actual light intensity value, and I th2 is the lower limit value of the preset light intensity threshold range;

[0136] If the ambient light intensity is within the threshold range, the light intensity adjustment coefficient is h e = 1;

[0137] C4. Calculate the average brightness of each monitoring area respectively according to the brightness of the pixel points in each monitoring area. The calculation formula is:

[0138] Among them, L n is the detected average brightness value, N n is the total number of pixel points in area n, and l nm is the brightness value of the m-th pixel point in area n;

[0139] C5. Compare the average brightness L n of each monitored area with the average brightness L i of the corresponding area calculated by the image information processing module before, and calculate the brightness difference value. The calculation formula for the brightness difference value is:

[0140] ΔL = L n - L i , where ΔL is the brightness difference value;

[0141] C6. Adjust the backlight brightness according to the light intensity adjustment coefficient h e and the brightness difference value ΔL to make the adjusted backlight brightness meet the requirements of the current image display and ambient light conditions;

[0142] The backlight brightness adjustment process is as follows:

[0143] C61. Make a preliminary adjustment to the backlight brightness of all partitions according to the light intensity adjustment coefficient h e . The adjustment formula is:

[0144] Q new = h e * Q i , where Q new is the backlight brightness value after preliminary adjustment, Qi is the pre-adjustment backlight brightness value;

[0145] C62. Compare the calculated brightness difference value with the preset brightness difference value. If the absolute value of the brightness difference value is less than or equal to the preset brightness difference value, the backlight brightness value after preliminary adjustment is the adjusted brightness value; if the absolute value of the brightness difference value is greater than the preset brightness difference value, feedback the difference result to the image signal processing module;

[0146] C63. The image signal processing module recalculates the backlight brightness value of this area according to the feedback information, combined with the color characteristics and brightness characteristics of this area, and sends the new backlight brightness value to the control module;

[0147] C64. The backlight control module compares the new backlight brightness value received with the preliminary adjustment brightness value, and returns to step C62;

[0148] Through the sensor module, when the ambient light becomes brighter, the photoelectric sensor detects the change in light intensity and transmits the signal to the backlight control module, so that the backlight brightness of the entire screen is correspondingly increased; while the image sensor can detect the change in brightness in the local area of the image and timely notify the image signal processing module to adjust the backlight brightness of this area.

[0149] The power management module is electrically connected to the image signal processing module, the backlight control module and the sensor module respectively. The power management module dynamically distributes the power according to the brightness requirements of each partition, ensuring that each partition can obtain appropriate energy supply and achieving the purpose of energy saving.

[0150] Such as Figure 5 shown, the process of the power management module for dynamic power distribution is as follows:

[0151] D1. According to the brightness requirements of each partition provided by the backlight control module, calculate the power required for each partition. The power calculation formula is:

[0152] where, Q i is the backlight brightness value required for partition i, P i is the power required for partition i, and η is the luminous efficiency of the backlight module;

[0153] D2. According to the power P i and the voltage range of the power supply, calculate the minimum current I imin required for each partition. The calculation formula is: where, V max is the upper limit value of the power supply voltage range;

[0154] D3. Adjust the minimum current value according to the actual situation. When the voltage and current meet the regional power supply requirements, the voltage and current values that meet the power supply requirements are used as the power supply current and voltage for this region. The regional power supply requirement determination formula is: P i =V i *I i And V min ≤V i ≤V max , where V max is the upper limit value of the power supply voltage range, V min is the lower limit value of the power supply voltage range, P i is the power required for partition i, V i and I i are the voltage and current values that meet the power supply requirements respectively;

[0155] D4. According to the calculated voltage and current requirements of each partition, distribute the total power supply power to each partition to ensure that each partition can obtain appropriate energy supply and achieve the purpose of energy saving at the same time.

[0156] Through the coordinated cooperation of the image signal processing module, backlight control module, sensor module and power management module, it is possible to accurately adjust the backlight brightness of different regions according to the image content. When displaying a black or dark tone image, reduce the backlight brightness of the corresponding region, and even completely turn it off, thereby reducing the light leakage phenomenon, improving the purity of black, and significantly enhancing the contrast of the image. For the bright part and dark part details in the image, targeted brightness adjustment can be performed through zonal dynamic dimming, making the bright part brighter and the dark part darker, thereby highlighting the details of the image and making the picture more vivid and realistic. Only provide sufficient backlight brightness to the regions where the content needs to be displayed, while reducing the backlight brightness for black or dark tone regions, avoiding the energy waste caused by the global uniform light emission in the traditional backlight module, and effectively reducing the power consumption without affecting the visual effect.

[0157] Based on the above-described zonal dynamic dimming control system, the present invention also provides a method for self-learning zonal dimming parameters, as Figure 6 shown, including the following steps:

[0158] S1. After the system starts, perform initialization operations on the image signal processing module, backlight control module, sensor module, and power management module;

[0159] S2. Receive the input image signal through the image signal processing module, and then divide the image signal into multiple regions to obtain the characteristic parameters of each region. The characteristic parameters include the average brightness value, color saturation, and hue of each region;

[0160] S3. Monitor the ambient light intensity in real time through the sensor module, and calculate the backlight brightness value of each area according to the characteristic parameters of the image area and the ambient light intensity;

[0161] S4. Generate corresponding control signals through the backlight control module according to the calculated backlight brightness value, and drive each area in the backlight module through the control signals;

[0162] S5. Monitor the image information of the backlight module in real time through the sensor module, and feedback the brightness information of the actually displayed image area to the image signal processing module;

[0163] S6. Confirm whether there is a deviation between the actual backlight brightness and the calculated target backlight brightness. If there is no deviation, maintain the actual backlight brightness value for display; if there is a deviation, adjust the backlight brightness value by increasing or decreasing according to the deviation value;

[0164] S7. The power management module precisely adjusts the voltage and current of the backlight power supply for different partitions according to the requirements of the backlight control module, so as to dynamically allocate the power according to the brightness requirements of each partition;

[0165] S8. Statistically analyze the optimal dimming parameters of different types of images under different ambient light conditions, adjust the weight coefficients according to the optimal dimming parameters, so that the system can better adapt to various scenarios, and monitor the actual backlight brightness after adjustment in real time, and then return to S6 to provide better display effects and energy-saving performance.

[0166] Finally, it should be noted that the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. Partition dynamic dimming control system, characterized by: include: An image signal processing module, which receives an input image signal, divides the image into a plurality of regions, and calculates a backlight brightness value required for each region according to the image content of each region; A backlight control module, which generates a corresponding control signal according to the backlight brightness value output by the image signal processing module to drive each partition in the backlight module; A sensor module, which detects the light intensity of the surrounding environment and the image information on the display screen in real time, and adjusts the backlight brightness according to environmental changes and image information; A power management module, wherein the power management module is electrically connected to the image signal processing module, the backlight control module and the sensor module respectively, and the power management module dynamically allocates power according to the brightness requirements of each partition to ensure that each partition can obtain appropriate energy supply.

2. The zoned dynamic dimming control system according to claim 1, characterized in that: The process of receiving and dividing the image signal by the image signal processing module is as follows: A1, receiving an image from a camera when the backlight module is working, and dividing the image into multiple rectangular areas according to the width and height of the image; A2. Calculate the average brightness of all pixels in each rectangular area. The average brightness is the brightness feature extracted for each area. The calculation formula for the average brightness is: Among them, L i is the average brightness, N i is the total number of pixels in region i, l ij is the brightness value of the jth pixel in region i; A3. Calculate the average RGB value of all pixels in each area. The formula for calculating the average RGB value is: Among them, R i , G i and B i are the average values ​​of red, green, and blue colors in the RGB space, R ij , G ij and B ij They are the red, green, and blue component values ​​in the RGB space, respectively. i is the total number of pixels in region i; A4. Saturation S in HSV space based on the average value of RGB values i and hue H i Conversion, Saturation S i and hue H i That is, the color characteristics of each area; A5. Calculate the backlight brightness value required for each area by combining the brightness characteristics and color characteristics. The backlight brightness value calculation formula is: Q i =L i *k L +S i *k S +H i *k H +b, where Q i is the backlight brightness value, L i is the average brightness, k L is the brightness weight coefficient, S i is the color saturation in HSV space, k S is the color saturation weight coefficient, H i is the hue in HSV space, k H is the color hue weight coefficient, and b is the bias coefficient.

3. The zoned dynamic dimming control system according to claim 2, characterized in that: In step A4, the saturation S in the HSV space i and hue H i The conversion process is as follows: A41. Calculate the maximum value Max and the minimum value Min in the RGB color component according to the average value of RGB values. The calculation formula is: Max=max(R i ,G i ,B i ), Min=min(R i ,G i ,B i ); A42. Calculate the saturation S based on the maximum value Max and the minimum value Min i , there are two situations: a) When Max = 0, then S i =0; b) When Max≠0, then A43. Calculate the hue H based on the maximum value Max and the minimum value Min i , there are five situations: 1) When Max = Min, then H i =0; 2) When Max = R i And G i ≥B i When 3) When Max = R i And G i <B i When 4) When Max = G i When 5) When Max = B i When 4. The zoned dynamic dimming control system according to claim 3, characterized in that: The process of generating the control signal by the backlight control module is as follows: B1. Set the period T of the PWM signal according to the backlight brightness value of each partition received by the image signal processing module; B2. Calculate the duty cycle of the PWM signal of each partition respectively, and calculate the high level time according to the duty cycle and the period T of the PWM signal. The calculation formula is: t i =D i *T, where D i is the PWM duty cycle of partition i, Q i is the backlight brightness value of partition i, Q max is the maximum backlight brightness, t i is the high level time of the PWM signal corresponding to partition i, and T is the period of the PWM signal; B3, according to the calculated high level time t i and a fixed PWM period T to generate a PWM signal corresponding to each partition; B4. Send the generated PWM signal to the backlight driving circuit through the corresponding channel, and drive each partition in the backlight module through the backlight driving circuit to adjust the backlight brightness of each partition so that the backlight brightness is consistent with the calculated backlight brightness value Q i Match.

5. The zoned dynamic dimming control system according to claim 4, characterized in that: The sensor module includes an image sensor, a photoelectric sensor and a backlight brightness adjustment unit, and the image sensor and the photoelectric sensor are both electrically connected to the backlight brightness adjustment unit.

6. The zoned dynamic dimming control system according to claim 5, characterized in that: The process of adjusting the backlight brightness of the sensor module is as follows: C1. Use photoelectric sensors to detect the light intensity of the surrounding environment, convert the light signal into an electrical signal, and amplify the electrical signal. The amplification formula is: V O =A*V in , where V in is the input electrical signal value, A is the amplification factor, V O is the value of the amplified electrical signal; C2. Filter the amplified electrical signal. The electrical signal after filtering is the ambient light intensity electrical signal I. The filtering formula is: Among them, V Oi is the i-th amplified electrical signal value, M is the number of data detected by the photoelectric sensor, and I is the ambient light intensity value after filtering; C3. Compare the ambient light intensity I with the preset threshold range and calculate the light intensity adjustment coefficient. There are three situations: If the ambient light intensity is greater than the upper limit of the threshold range, the light intensity adjustment coefficient calculation formula is: Among them, h e is the light intensity adjustment coefficient, I is the actual light intensity value, I th1 is the upper limit value of the preset light intensity threshold range; If the ambient light intensity is less than the lower limit of the threshold range, the light intensity adjustment coefficient calculation formula is: Among them, h e is the light intensity adjustment coefficient, I is the actual light intensity value, I th2 is the lower limit value of the preset light intensity threshold range; If the ambient light intensity is within the threshold range, the light intensity adjustment coefficient is h e =1; C4. Calculate the average brightness of each monitoring area according to the brightness of the pixels in each monitoring area. The calculation formula is: Among them, L n is the average brightness detected, N n is the total number of pixels in region n, L nm is the brightness value of the mth pixel in area n; C5, the average brightness of each monitored area L n The average brightness L of the corresponding area calculated by the image information processing module before i Compare and calculate the brightness difference value. The brightness difference value calculation formula is: ΔL=L n -L i , where ΔL is the brightness difference value; C6, adjust the coefficient h according to the light intensity e The backlight brightness is adjusted based on the brightness difference value ΔL, so that the adjusted backlight brightness meets the requirements of the current image display and ambient light conditions.

7. The zoned dynamic dimming control system according to claim 6, characterized in that: In step C6, the backlight brightness adjustment process is as follows: C61, adjust the coefficient h according to the light intensity e Make a preliminary adjustment to the backlight brightness of all partitions. The adjustment formula is: Q new =h e *Q i , where Q new To initially adjust the backlight brightness value, Q i To adjust the front backlight brightness value; C62, comparing the calculated brightness difference value with the preset brightness difference value, if the absolute value of the brightness difference value is less than or equal to the preset brightness difference value, the backlight brightness value after preliminary adjustment is the adjusted brightness value; if the absolute value of the brightness difference value is greater than the preset brightness difference value, the difference result is fed back to the image signal processing module; C63, the image signal processing module recalculates the backlight brightness value of the area according to the feedback information and the color characteristics and brightness characteristics of the area, and sends the new backlight brightness value to the control module; C64. The backlight control module compares the received new backlight brightness value with the initially adjusted brightness value and returns to step C62.

8. The zoned dynamic dimming control system according to claim 7, characterized in that: The process of the power management module performing dynamic power distribution is as follows: D1. Calculate the power required for each partition based on the brightness requirements of each partition provided by the backlight control module. The power calculation formula is: Among them, Q i is the backlight brightness value required for partition i, P i is the power required for partition i, and η is the luminous efficiency of the backlight module; D2, according to power P i and the voltage range of the power supply, calculate the minimum current I required for each partition imin , the calculation formula is: Among them, V max is the upper limit of the power supply voltage range; D3. Adjust the minimum current value according to the actual situation. When the voltage and current meet the power supply demand of the area, the voltage and current values ​​that meet the power supply demand will be used as the power supply current and voltage of the area. D4. Allocate the total power to each partition based on the calculated voltage and current requirements of each partition to ensure that each partition can obtain appropriate energy supply.

9. The zoned dynamic dimming control system according to claim 8, characterized in that: In step D3, the regional power supply demand determination formula is: i =V i *I i And V min ≤V i ≤V max , where V max is the upper limit of the power supply voltage range, V min is the lower limit of the power supply voltage range, P i is the power required for partition i, V i and I i They are the voltage and current values ​​that meet the power supply requirements respectively.

10. A partition dimming parameter self-learning method, based on the partition dynamic dimming control system according to any one of claims 1 to 9, characterized in that: The steps include: S1. After the system is started, the image signal processing module, backlight control module, sensor module and power management module are initialized; S2, receiving an input image signal through an image signal processing module, and then dividing the image signal into multiple regions, obtaining characteristic parameters of each region, wherein the characteristic parameters include an average brightness value, color saturation and hue of each region; S3, monitoring the light intensity of the surrounding environment in real time through the sensor module, and calculating the backlight brightness value of each area according to the characteristic parameters of the image area and the ambient light intensity; S4, generating a corresponding control signal according to the calculated backlight brightness value through the backlight control module, and driving each area in the backlight module through the control signal; S5, monitoring the image information of the backlight module in real time through the sensor module, and feeding back the brightness information of the image area actually displayed to the image signal processing module; S6, confirm whether there is a deviation between the actual backlight brightness and the calculated target backlight brightness, if there is no deviation, keep the actual backlight brightness value for display; If there is a deviation, the backlight brightness value is adjusted to increase or decrease according to the deviation value; S7, the power management module accurately adjusts the voltage and current of the backlight power supply of different partitions according to the requirements of the backlight control module, so as to dynamically allocate the power according to the brightness requirements of each partition; S8. Count the best dimming parameters for different types of images under different ambient light conditions, adjust the weight coefficient according to the best dimming parameters so that the system can better adapt to various scenes, and monitor the actual backlight brightness after adjustment in real time, and then return to S6.

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