Brightness and color automatic adjusting method and projection lighting device

Abstract

The invention provides an automatic brightness and color adjustment method and a projection lighting device, and relates to the technical field of brightness and color adjustment. Determining a light intensity decision boundary according to the light intensity data and a preset decision regulation coefficient, converting the light intensity data into light intensity interference suppression data based on the light intensity decision boundary, and determining a brightness regulation curve through the light intensity interference suppression data; the method comprises the following steps: acquiring a projection picture image in a projection environment, performing color channel washing and overlapping on each color channel in the projection picture image to obtain a washing and overlapping image of the projection picture, and determining a color regulation and control matrix according to the washing and overlapping image of the projection picture; according to the brightness regulation and control curve and the color regulation and control matrix, a comprehensive regulation and control curve of the brightness and the color in the projection environment is determined, the projection brightness and the projection color are regulated by using the comprehensive regulation and control curve, and the accuracy and the consistency of the color and the brightness can be kept under different background colors and light conditions; therefore, the clear visibility of information and the visual comfort of a user are ensured.

Description

Technical Field

[0001] The present application relates to the technical field of brightness and color adjustment, and more specifically, to a brightness and color automatic adjustment method and a projection lighting device. Background Art

[0002] Despite the continuous development of projection display technology, there are still some shortcomings in existing projection lighting devices. The visual effects of these devices are greatly affected by the surrounding environment, especially the background color and light brightness. First, in different application scenarios, the background color may range from pure white to dark black, or contain a variety of colors. For example, projection on surfaces of different materials and colors such as indoor walls, projection screens, floors, ceilings, etc. will affect the brightness of the picture. Secondly, the brightness of the ambient light will change with time (such as different times of the day) and weather conditions (such as sunny days, cloudy days, indoors and outdoors), which directly affects the visibility of the displayed content. In addition, the lighting parameters of many devices are fixed and cannot be automatically adjusted according to environmental changes, resulting in the brightness of the picture being uncomfortable in different environments, affecting the imaging effect.

[0003] Some advanced devices allow users to manually adjust brightness or color, but this method is neither convenient nor real-time, and cannot meet the needs of dynamic environments. Most existing projection lighting devices cannot adapt well to complex and changing environmental conditions, and cannot automatically adjust display characteristics according to background colors, resulting in different brightness of the picture under different background colors and poor display effects. Therefore, how to maintain color and brightness accuracy and consistency under different background colors and light conditions to ensure clear visibility of information and user visual comfort is a difficult problem faced by the industry. Summary of the invention

[0004] The present application provides a method for automatically adjusting brightness and color and a projection lighting device, which can maintain the accuracy and consistency of color and brightness under different background colors and lighting conditions to ensure the clear visibility of information and the visual comfort of users.

[0005] In a first aspect, the present application provides a method for automatically adjusting brightness and color, the method comprising the following steps: Collect light intensity data of the projection environment; Determine a light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, convert the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine a brightness control curve in the projection environment according to the light intensity suppression data; Acquire a projection screen image under the projection environment, perform color channel wash and overlap on each color channel in the projection screen image, and then obtain a washed and overlapped image of the projection screen, and determine a color control matrix under the projection environment according to the washed and overlapped image of the projection screen; A comprehensive control curve of brightness and color under the projection environment is determined according to the brightness control curve and the color control matrix, and the projection brightness and projection color are adjusted using the comprehensive control curve.

[0006] In this embodiment, a photodiode is used as an ambient light sensor to collect light intensity data of the projection environment.

[0007] In this embodiment, determining the light intensity decision boundary under the projection environment according to the light intensity data and the preset decision control coefficient specifically includes: Fitting the light intensity data to obtain a light intensity curve; Determining the curvature corresponding to the light intensity data through the light intensity curve; Determine the curvature corresponding to each data point in the light intensity data in the light intensity curve; The light intensity decision boundary in the projection environment is determined by a preset decision control coefficient, a curvature corresponding to the light intensity data, and a curvature corresponding to each data point in the light intensity curve.

[0008] In this embodiment, the light intensity data is converted into the light intensity suppression data of the projection environment based on the light intensity decision boundary by eliminating data points in the light intensity data whose corresponding curvature is not within the light intensity decision boundary, thereby obtaining the light intensity suppression data of the projection environment.

[0009] In this embodiment, determining the brightness control curve in the projection environment by using the light intensity suppression data specifically includes: Determining the light intensity variation characteristics of the projection environment according to the light intensity suppression data; Get the current projection brightness; A brightness control curve under the projection environment is determined according to the light intensity variation characteristics and the current projection brightness.

[0010] In this embodiment, the projection screen image in the projection environment is collected by a background color sensor.

[0011] In this embodiment, color channel washing is performed on each color channel in the projection screen image to obtain the washed image of the projection screen, which specifically includes: For each color channel in the projection screen image, obtaining a color channel image corresponding to the color channel; Determining a pixel wash coefficient of the color channel image; The color channel image is converted into a color channel washed image corresponding to the color channel by using the pixel washed coefficient, thereby obtaining a color channel washed image corresponding to each color channel; The washed-out image of the projection picture is determined according to the color channel washed-out images corresponding to each color channel.

[0012] In this embodiment, determining the color control matrix in the projection environment from the washed-out image of the projection screen specifically includes: Get a color reference image; Determine the color difference between the overlapped image of the projection picture and the corresponding pixel points in the color reference image, and then obtain a color difference matrix under the projection environment; The color difference matrix is ​​optimized using a linear regression method to obtain a color control matrix under the projection environment.

[0013] In this embodiment, determining the comprehensive control curve of brightness and color under the projection environment according to the brightness control curve and the color control matrix specifically includes: Assigning weights to the brightness control curve and the color control matrix; Constructing a comprehensive control function based on the brightness control curve and its weight, and the color control matrix and its weight; The comprehensive control function is optimized using an adaptive algorithm, and the optimized comprehensive control function is used as a comprehensive control curve of brightness and color under the projection environment.

[0014] In a second aspect, the present application provides a projection lighting device for performing an automatic brightness and color adjustment method, the projection lighting device comprising: Light intensity data acquisition module, used to collect light intensity data of the projection environment; a brightness control curve determination module, configured to determine a light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, convert the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine a brightness control curve in the projection environment according to the light intensity suppression data; a color control matrix determination module, used for collecting a projection screen image under the projection environment, performing color channel wash and overlap on each color channel in the projection screen image, thereby obtaining a washed and overlapped image of the projection screen, and determining a color control matrix under the projection environment from the washed and overlapped image of the projection screen; The comprehensive adjustment module is used to determine the comprehensive adjustment curve of brightness and color in the projection environment according to the brightness adjustment curve and the color adjustment matrix, and use the comprehensive adjustment curve to adjust the projection brightness and projection color.

[0015] The technical solution provided by the embodiments disclosed in this application has the following beneficial effects: By collecting light intensity data of the projection environment; determining the light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, converting the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determining the brightness control curve in the projection environment according to the light intensity suppression data; collecting the projection screen image in the projection environment, performing color channel overlay on each color channel in the projection screen image, and then obtaining the overlay image of the projection screen, and determining the color control matrix in the projection environment according to the overlay image of the projection screen; determining the comprehensive control curve of brightness and color in the projection environment according to the brightness control curve and the color control matrix, and using the comprehensive control curve to adjust the projection brightness and projection color.

[0016] It can be seen that in the present application, the accuracy and consistency of color and brightness can be maintained under different background colors and lighting conditions; wherein, by obtaining light intensity suppression data based on the light intensity decision boundary, data quality can be improved, invalid data points can be eliminated, and by generating and adjusting the brightness control curve in real time, it can automatically adapt to different light changes and dynamically adjust the brightness; then, each color channel of the projected screen image can be adjusted separately through color channel overlay, so that under different lighting and background conditions, the color in the projected image is more accurate and consistent, and the color control matrix provides precise color correction by optimizing color difference, ensuring that the accuracy of color presentation is maintained even when the environment changes; finally, by using the optimized comprehensive control curve to adjust the projection brightness and color, the brightness and color of the projected image can be dynamically adjusted according to different environmental conditions, ensuring that the image always has the best visibility, color accuracy and visual comfort.

[0017] In summary, the technical solution adopted in this application can maintain the accuracy and consistency of color and brightness under different background colors and lighting conditions to ensure the clear visibility of information and the visual comfort of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0019] Figure 1 is a flow chart of a method for automatically adjusting brightness and color provided by the present application; Figure 2 is an exemplary flow chart for determining a light intensity decision boundary in a projection environment according to the present application; Figure 3 is an exemplary flow chart of determining a washed-out image of a projection picture provided by the present application; Figure 4 It is a module structure diagram of the projection lighting device provided in this application. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0021] The embodiment of the present application provides an automatic adjustment method for brightness and color and a projection lighting device, the core of which is to collect light intensity data of the projection environment; determine the light intensity decision boundary of the projection environment according to the light intensity data and the preset decision control coefficient, convert the light intensity data into the light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine the brightness control curve in the projection environment through the light intensity suppression data; collect the projection screen image in the projection environment, perform color channel shuffling on each color channel in the projection screen image, and then obtain the shuffled image of the projection screen, and determine the color control matrix in the projection environment from the shuffled image of the projection screen; determine the comprehensive control curve of brightness and color in the projection environment according to the brightness control curve and the color control matrix, and use the comprehensive control curve to adjust the projection brightness and projection color. The above scheme can maintain the accuracy and consistency of color and brightness under different background colors and light conditions to ensure the clear visibility of information and the visual comfort of users.

[0022] Embodiment 1 In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods. Figure 1 As shown in FIG. 1 , this figure is an exemplary flow chart of a method for automatically adjusting brightness and color according to this embodiment of the present application, and the automatic adjustment method includes the following steps: In step S1, light intensity data of the projection environment is collected.

[0023] In specific implementation, a photodiode is used as an ambient light sensor to collect light intensity data of the projection environment; it should be noted that in this application, light intensity data is a series of light intensity values ​​arranged in chronological order; a photodiode is a semiconductor device that can convert light energy into a current signal and is widely used in the collection of ambient light intensity. In a projection lighting device, a photodiode can be used as an ambient light sensor to monitor the light intensity data of the projection environment in real time, providing an important basis for brightness adjustment.

[0024] In step S2, a light intensity decision boundary in the projection environment is determined according to the light intensity data and a preset decision control coefficient, the light intensity data is converted into light intensity suppression data of the projection environment based on the light intensity decision boundary, and a brightness control curve in the projection environment is determined by the light intensity suppression data.

[0025] Preferably, in this embodiment, reference Figure 2 As shown in FIG. 1 , this figure is an exemplary flow chart of determining the light intensity decision boundary in the projection environment in an embodiment of the present application. In this embodiment, the light intensity decision boundary in the projection environment is determined according to the light intensity data and the preset decision control coefficient, which can be implemented by the following steps: First, in step S21, the light intensity data is fitted to obtain a light intensity curve; Then, in step S22, the curvature corresponding to the light intensity data is determined by the light intensity curve; Secondly, in step S23, the curvature corresponding to each data point in the light intensity data in the light intensity curve is determined; Finally, in step S24, the light intensity decision boundary in the projection environment is determined by a preset decision control coefficient, the curvature corresponding to the light intensity data, and the curvature corresponding to each data point in the light intensity curve.

[0026] In specific implementation, first, the light intensity data can be fitted by polynomial fitting to obtain a light intensity curve; then, the curvature corresponding to the light intensity data can be determined by the light intensity curve, that is, the curvature of the light intensity curve is calculated, and the curvature of the light intensity curve can be used as the curvature corresponding to the light intensity data; secondly, the curvature corresponding to each data point in the light intensity data in the light intensity curve is determined, and for each data point in the light intensity data, the curvature of the corresponding position of the data point in the light intensity curve is used as the curvature corresponding to the data point in the light intensity curve. The curvature corresponding to each data point in the light intensity data in the light intensity curve can be obtained by the above method; finally, the light intensity decision boundary in the projection environment can be determined by the preset decision control coefficient, the curvature corresponding to the light intensity data and the curvature corresponding to each data point in the light intensity curve. The light intensity decision boundary is a decision interval used to screen the interference light intensity data. In actual implementation, the upper limit of the light intensity decision boundary can be determined by the following formula:

[0027] in, represents the upper bound of the light intensity decision boundary, u represents the curvature corresponding to the light intensity data, represents the decision control coefficient, which can be set through historical experiments and data analysis. n represents the total number of data points in the light intensity data. It represents the curvature corresponding to the i-th data point in the light intensity data in the light intensity curve; it should be noted that after obtaining the upper bound of the light intensity decision boundary, the ratio of the total number of data points in the light intensity data to the upper bound of the light intensity decision boundary can be used as the lower bound of the light intensity decision boundary. The light intensity decision boundary can be obtained in the above way.

[0028] In this embodiment, the light intensity data is converted into the light intensity suppression data of the projection environment based on the light intensity decision boundary by eliminating data points in the light intensity data whose corresponding curvature is not within the light intensity decision boundary, thereby obtaining the light intensity suppression data of the projection environment.

[0029] It should be noted that if the curvature of a data point in the light intensity data is not within the light intensity decision boundary, the data point is considered to be an invalid data point. Invalid data points are usually manifested as curvature values ​​that are too large or too small, indicating that the ambient light changes dramatically or too slowly, and cannot effectively participate in the brightness adjustment process. After eliminating invalid data points, the remaining light intensity data can be regarded as valid light intensity suppression data. At this time, the light intensity suppression data reflects the actual ambient light intensity and is actually used as the basis for controlling the brightness of the projection lighting device.

[0030] In this embodiment, the brightness control curve in the projection environment can be determined by the light intensity suppression data in the following manner, namely: Determining the light intensity variation characteristics of the projection environment according to the light intensity suppression data; Get the current projection brightness; A brightness control curve under the projection environment is determined according to the light intensity variation characteristics and the current projection brightness.

[0031] In specific implementation, first, the light intensity change characteristics of the projection environment can be determined according to the light intensity suppression data, that is, the light intensity change characteristics of the projection environment can be analyzed by using the light intensity suppression data, and the change rate of the light intensity in the light intensity suppression data can be calculated, so that the change rate of the light intensity can be used as the light intensity change characteristics of the projection environment; then, the current projection brightness can be obtained through the built-in brightness sensor of the projection lighting device; then, the brightness control curve in the projection environment can be determined according to the light intensity change characteristics and the current projection brightness, and the brightness control curve is expressed in the following way:

[0032] in, represents the value of the brightness control curve at time t, represents the current projection brightness, k represents the light intensity change characteristics, Represents the light intensity corresponding to time t in the light intensity suppression data.

[0033] It should be noted that obtaining light intensity suppression data based on the light intensity decision boundary can improve data quality, eliminate invalid data points, and automatically adapt to different light changes by generating and adjusting the brightness control curve in real time. The brightness can be adjusted dynamically to ensure that the projected image always remains clear and visible. For example, in a bright environment, the brightness adjustment curve will automatically increase the brightness, while in a darker environment, the brightness will be reduced accordingly. This method avoids the tediousness of manual adjustment and ensures continuous image quality.

[0034] In step S3, the projection screen image under the projection environment is collected, and each color channel in the projection screen image is color-washed to obtain a washed image of the projection screen, and the color control matrix under the projection environment is determined by the washed image of the projection screen.

[0035] In specific implementation, the projection screen image in the projection environment can be collected through a background color sensor; in this application, the projection screen image refers to the background color image on the projection screen; the background color sensor is a sensor specifically used to detect the background color or background light intensity in the projection environment. In this application, a color sensor is used as a background color sensor, and the background color image of the projection screen or projection surface is captured through the background color sensor.

[0036] Preferably, in this embodiment, reference Figure 3 As shown in FIG. 1 , this figure is an exemplary flow chart of determining the washed image of the projection screen in an embodiment of the present application. In this embodiment, color washing is performed on each color channel in the projection screen image, and then the washed image of the projection screen is obtained, which can be specifically implemented by the following steps: First, in step S31, for each color channel in the projection screen image, a color channel image corresponding to the color channel is obtained; Then, in step S32, the pixel scrubbing coefficient of the color channel image is determined; Next, in step S33, the color channel image is converted into a color channel washed image corresponding to the color channel by using the pixel washed coefficient, thereby obtaining a color channel washed image corresponding to each color channel; Finally, in step S34, the washed-out image of the projection picture is determined according to the washed-out images corresponding to the color channels.

[0037] In specific implementation, first, for each color channel in the projection screen image, a color channel image corresponding to each color channel can be obtained. The projection screen image usually adopts the RGB color model. Each projection screen image contains three color channels: red (R), green (G) and blue (B). Each color channel represents the brightness information of the corresponding color in the projection screen image. The data of each color channel can be extracted from the collected projection screen image to form color channel images of red, green and blue channels respectively. The color channel image corresponding to each color channel contains all pixel values ​​of the color channel. For example, the color channel image of the red channel only contains the red brightness information of each pixel point, and the green channel and the blue channel are similar; then, the pixel aliasing coefficient of the color channel image can be determined. There is usually a problem of pixel aliasing in the color channel image, which will cause the distortion of the color channel image. Therefore, the color channel image needs to be color-aliased. The pixel aliasing coefficient represents the intensity of adjusting the pixel points during the color channel aliasing process. The pixel aliasing coefficient can be determined according to the following formula:

[0038] in, represents the pixel overlapping coefficient of the color channel image, m represents the total number of pixel values ​​in the color channel image, Indicates the number of times the j-th pixel value appears repeatedly in the color channel image.

[0039] In addition, in a specific implementation, the color channel image can be converted into a color channel washed image corresponding to the color channel by a pixel washing coefficient, that is, by applying the pixel washing coefficient to each pixel value in the color channel image, for example, by multiplying the pixel washing coefficient with each pixel value in the color channel image, a new color channel image can be obtained, and the color channel image is used as the color channel washed image corresponding to the color channel. Each pixel value of the color channel washed image will be dynamically adjusted according to factors such as background color and lighting. Compared with the original color channel image, the color performance of the color channel washed image is more in line with the expected effect. The color channel washed image corresponding to each color channel can be obtained in the above manner; finally, the washed image of the projection screen can be determined according to the color channel washed images corresponding to each color channel, that is, the color channel washed images of each color channel are combined to form the washed image of the projection screen. This process is to merge the three color channel images of red, green and blue after the color channel washing operation into the final washed image.

[0040] In this embodiment, the color control matrix in the projection environment is determined by the overlay image of the projection screen in the following manner, namely: Get a color reference image; Determine the color difference between the overlapped image of the projection picture and the corresponding pixel points in the color reference image, and then obtain a color difference matrix under the projection environment; The color difference matrix is ​​optimized using a linear regression method to obtain a color control matrix under the projection environment.

[0041] In specific implementation, first, a color reference image can be obtained. The color reference image usually refers to a standard image with known accurate colors under ideal conditions, which is used as a benchmark for color adjustment. The standard image can be taken by controlling the environmental conditions to ensure its color accuracy and use it as a color reference image; then, the color difference between the washed and overlapped image of the projected picture and the corresponding pixel points in the color reference image is determined, which can be calculated by the Euclidean distance method to obtain a color difference matrix in the projection environment, and the color difference matrix represents the color deviation between each pixel point; finally, the color difference matrix can be optimized using a linear regression method to obtain a color control matrix in the projection environment. By applying linear regression, the optimal adjustment parameters (i.e., the color control matrix) can be found based on the color difference matrix to minimize the color difference between the projected image and the color reference image. The color control matrix contains the color difference correction coefficients between the washed and overlapped image of the projected picture and the color reference image, which are used to adjust each color channel of the projected image to ensure accurate color restoration.

[0042] It should be noted that color channel washing can be used to make individual adjustments to each color channel of the projected image, so that under different lighting and background conditions, the colors in the projected image are more accurate and consistent, and the influence of light interference and background color on the projection effect can be eliminated, ensuring the consistency of color in different scenes. The color control matrix provides precise color correction by optimizing color difference, ensuring that the accuracy of color presentation is maintained even when the environment changes.

[0043] In step S4, a comprehensive control curve of brightness and color in the projection environment is determined according to the brightness control curve and the color control matrix, and the projection brightness and projection color are adjusted using the comprehensive control curve.

[0044] In this embodiment, the comprehensive control curve of brightness and color under the projection environment is determined according to the brightness control curve and the color control matrix in the following manner, namely: Assigning weights to the brightness control curve and the color control matrix; Constructing a comprehensive control function based on the brightness control curve and its weight, and the color control matrix and its weight; The comprehensive control function is optimized using an adaptive algorithm, and the optimized comprehensive control function is used as a comprehensive control curve of brightness and color under the projection environment.

[0045] In the specific implementation, first, weights are assigned to the brightness control curve and the color control matrix, and the initial weights can be set through historical experiments and data analysis; then, a comprehensive control function can be constructed based on the brightness control curve and its weight, the color control matrix and its weight. Assuming the brightness control curve B(x), the weight of the brightness control curve is a, the color control matrix is ​​C(x), and the weight of the color control matrix is ​​b, then the comprehensive control function F(x) can be expressed as: F(x)=a* B(x)+b*C(x), and the effects of the brightness control curve and the color control matrix are combined into a unified function to achieve coordinated regulation of brightness and color; finally, an adaptive algorithm is used to optimize the comprehensive control function, so that the optimized comprehensive control function is used as the comprehensive control curve of brightness and color in the projection environment. The introduction of the adaptive algorithm can continuously optimize the comprehensive control function under changing environmental conditions to achieve the best projection effect. The adaptive optimization algorithm can adjust the weights a and b according to real-time feedback data to make the brightness and color adjustment more accurate. The adaptive algorithm used in this application is the gradient descent method, which will not be repeated here.

[0046] In this embodiment, the comprehensive control curve is used to adjust the projection brightness and projection color. In specific implementation, the calculated value of the comprehensive control curve is used as the adjustment input value of the projection lighting device to achieve the adjustment of the projection brightness and projection color. The adjustment input value integrates the adjustment information of the brightness and color. The light source and display module of the projection lighting device will adjust the output in real time according to the adjustment input value to ensure that the projection effect meets the environmental requirements.

[0047] It should be noted that by using the optimized comprehensive control curve to adjust the projection brightness and color, the brightness and color of the projected image can be dynamically adjusted according to different environmental conditions (such as light intensity, background color, etc.), ensuring that the image always has optimal visibility, color accuracy and visual comfort.

[0048] It can be seen that in the present application, the accuracy and consistency of color and brightness can be maintained under different background colors and lighting conditions; wherein, by obtaining light intensity suppression data based on the light intensity decision boundary, data quality can be improved, invalid data points can be eliminated, and by generating and adjusting the brightness control curve in real time, it can automatically adapt to different light changes and dynamically adjust the brightness; then, each color channel of the projected screen image can be adjusted separately through color channel overlay, so that under different lighting and background conditions, the color in the projected image is more accurate and consistent, and the color control matrix provides precise color correction by optimizing color difference, ensuring that the accuracy of color presentation is maintained even when the environment changes; finally, by using the optimized comprehensive control curve to adjust the projection brightness and color, the brightness and color of the projected image can be dynamically adjusted according to different environmental conditions, ensuring that the image always has the best visibility, color accuracy and visual comfort.

[0049] In summary, the technical solution adopted in this application can maintain the accuracy and consistency of color and brightness under different background colors and lighting conditions to ensure the clear visibility of information and the visual comfort of users.

[0050] Embodiment 2 The present application provides a projection lighting device, referring to Figure 4 As shown, this figure is a schematic diagram of a projection lighting device according to this embodiment of the present application, and the projection lighting device includes: Light intensity data acquisition module 100, used to collect light intensity data of the projection environment; A brightness control curve determination module 200 is used to determine a light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, convert the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine a brightness control curve in the projection environment through the light intensity suppression data; A color control matrix determination module 300 is used to collect a projection screen image under the projection environment, perform color channel wash and overlap on each color channel in the projection screen image, and then obtain a washed and overlapped image of the projection screen, and determine the color control matrix under the projection environment from the washed and overlapped image of the projection screen; The comprehensive adjustment module 400 is used to determine a comprehensive adjustment curve of brightness and color in the projection environment according to the brightness adjustment curve and the color adjustment matrix, and use the comprehensive adjustment curve to adjust the projection brightness and projection color.

[0051] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0052] A person skilled in the art may understand that all or part of the steps in the various methods of the above embodiments may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, the storage medium including a read-only memory (ROM), a random access memory (RAM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), a one-time programmable read-only memory (OTPROM), an electronically-erasable programmable read-only memory (EEPROM), a compact disc (CD-ROM) or other optical disc storage, magnetic disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0053] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

Claims

1. A method for automatically adjusting brightness and color, characterized in that: The automatic adjustment method comprises the following steps: Collect light intensity data of the projection environment; Determine a light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, convert the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine a brightness control curve in the projection environment according to the light intensity suppression data; Acquire a projection screen image under the projection environment, perform color channel wash and overlap on each color channel in the projection screen image, and then obtain a washed and overlapped image of the projection screen, and determine a color control matrix under the projection environment according to the washed and overlapped image of the projection screen; A comprehensive control curve of brightness and color under the projection environment is determined according to the brightness control curve and the color control matrix, and the projection brightness and projection color are adjusted using the comprehensive control curve.

2. The method for automatically adjusting brightness and color according to claim 1, characterized in that: A photodiode is used as an ambient light sensor to collect light intensity data of the projection environment.

3. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Determining the light intensity decision boundary in the projection environment according to the light intensity data and the preset decision control coefficient specifically includes: Fitting the light intensity data to obtain a light intensity curve; Determining the curvature corresponding to the light intensity data through the light intensity curve; Determine the curvature corresponding to each data point in the light intensity data in the light intensity curve; The light intensity decision boundary in the projection environment is determined by a preset decision control coefficient, a curvature corresponding to the light intensity data, and a curvature corresponding to each data point in the light intensity curve.

4. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Converting the light intensity data into the light intensity suppression data of the projection environment based on the light intensity decision boundary is to eliminate data points in the light intensity data whose corresponding curvature is not within the light intensity decision boundary, thereby obtaining the light intensity suppression data of the projection environment.

5. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Determining the brightness control curve in the projection environment by using the light intensity suppression data specifically includes: Determining the light intensity variation characteristics of the projection environment according to the light intensity suppression data; Get the current projection brightness; A brightness control curve under the projection environment is determined according to the light intensity variation characteristics and the current projection brightness.

6. The method for automatically adjusting brightness and color according to claim 1, characterized in that: The projection screen image in the projection environment is collected by a background color sensor.

7. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Performing color channel wash on each color channel in the projection screen image to obtain the washed image of the projection screen specifically includes: For each color channel in the projection screen image, obtaining a color channel image corresponding to the color channel; Determining a pixel wash coefficient of the color channel image; The color channel image is converted into a color channel washed image corresponding to the color channel by using the pixel washed coefficient, thereby obtaining a color channel washed image corresponding to each color channel; The washed-out image of the projection picture is determined according to the color channel washed-out images corresponding to each color channel.

8. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Determining the color control matrix in the projection environment from the washed-out image of the projection screen specifically includes: Get a color reference image; Determine the color difference between the overlapped image of the projection picture and the corresponding pixel points in the color reference image, and then obtain a color difference matrix under the projection environment; The color difference matrix is ​​optimized using a linear regression method to obtain a color control matrix under the projection environment.

9. The method for automatically adjusting brightness and color according to claim 1, characterized in that: Determining a comprehensive control curve of brightness and color under the projection environment according to the brightness control curve and the color control matrix specifically includes: Assigning weights to the brightness control curve and the color control matrix; Constructing a comprehensive control function based on the brightness control curve and its weight, and the color control matrix and its weight; The comprehensive control function is optimized using an adaptive algorithm, and the optimized comprehensive control function is used as a comprehensive control curve of brightness and color under the projection environment.

10. A projection lighting device, used to perform the automatic brightness and color adjustment method according to any one of claims 1 to 9, characterized in that: The projection lighting device comprises: Light intensity data acquisition module, used to collect light intensity data of the projection environment; a brightness control curve determination module, configured to determine a light intensity decision boundary in the projection environment according to the light intensity data and a preset decision control coefficient, convert the light intensity data into light intensity suppression data of the projection environment based on the light intensity decision boundary, and determine a brightness control curve in the projection environment according to the light intensity suppression data; a color control matrix determination module, used for collecting a projection screen image under the projection environment, performing color channel wash and overlap on each color channel in the projection screen image, thereby obtaining a washed and overlapped image of the projection screen, and determining a color control matrix under the projection environment from the washed and overlapped image of the projection screen; The comprehensive adjustment module is used to determine the comprehensive adjustment curve of brightness and color in the projection environment according to the brightness adjustment curve and the color adjustment matrix, and use the comprehensive adjustment curve to adjust the projection brightness and projection color.

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