WO2022227985A1

WO2022227985A1 - Image adaptive method and apparatus, and device and storage medium

Info

Publication number: WO2022227985A1
Application number: PCT/CN2022/083556
Authority: WO
Inventors: 王德南; 顾永忠
Original assignee: 成都极米科技股份有限公司
Priority date: 2021-04-25
Filing date: 2022-03-29
Publication date: 2022-11-03
Also published as: CN115248652B; CN115248652A

Abstract

The present application belongs to the technical field of visual information processing. Provided are an image adaptive method and apparatus, and a device and a storage medium. The method comprises: acquiring brightness information in the current environment; according to the brightness information, determining a target transparency of a mask layer corresponding to an image to be displayed, wherein the image to be displayed comprises a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer; and adjusting the transparency of the mask layer to the target transparency. By means of the present application, the matching between a brightness adjustment result and a user requirement can be improved, thereby improving the user experience.

Description

Image adaptive method, device, device and storage medium

technical field

The present application relates to the technical field of visual information processing, and in particular, to an image adaptive method, apparatus, device, and storage medium.

Background technique

In order to enable users to view or interact with the content displayed on the display screen in the electronic device more comfortably, the electronic device is usually provided with a brightness adjustment method.

In the prior art, the light-sensing device of the electronic device can obtain the brightness information of the outside world in real time, and when the brightness information of the external environment changes, the light-mechanical device in the electronic device can be adjusted, so that the brightness of the entire display screen can be adjusted accordingly. .

However, when the user is performing special actions such as interface operations or watching movies, the direct brightness adjustment through the optical machine often cannot meet the needs of the user, and the operation buttons or the content of the movie cannot be clearly seen in dark scenes, resulting in The result of brightness adjustment does not match the user's needs.

SUMMARY OF THE INVENTION

The purpose of the present application is to provide an image adaptive method, apparatus, device and storage medium, which can improve the matching between the result of brightness adjustment and the user's needs, and improve the user's sense of experience.

The embodiments of the present application are implemented as follows:

An aspect of the embodiments of the present application provides an image adaptive method, the method comprising:

Get the brightness information in the current environment;

Determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, wherein the image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer;

Adjust the opacity of the mask layer to the target opacity.

Optionally, determining the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, including:

The target transparency of the mask layer is determined according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information.

Optionally, before determining the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information, the method further includes:

Obtain multiple sets of brightness information and appropriate picture brightness data corresponding to the brightness information;

establishing a second functional relationship according to the multiple sets of brightness information and appropriate picture brightness data corresponding to the brightness information;

Adjusting the second functional relationship to obtain the first functional relationship;

Determine the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information, including:

According to the first functional relationship, determine the relationship formula between the brightness information and the transparency of the mask layer;

Calculates the target transparency of the mask layer based on the relational formula and luminance information.

Optionally, the first functional relationship is obtained by adjusting the second functional relationship, including:

Obtain the preset bright vision curve and the preset dark vision curve;

In response to the user's operation, the preset photopic curve and the preset scotopic curve are fitted and adjusted with the second functional relationship to obtain the first functional relationship.

Optionally, the first functional relationship is a first functional curve conforming to the Bezier curve rule, and the first functional curve indicates the first functional relationship;

Determine the target transparency of the mask layer according to the first functional relationship and the brightness information, including:

According to the position of the luminance information in the first function curve, the target transparency of the mask layer is determined.

Optionally, the relational formula is:

N=(1-L/A); wherein, N is the transparency of the mask layer, L is the luminance information, and A is a preset conversion coefficient.

Optionally, before determining the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, the method further includes:

Obtain the background layer and foreground layer of the image to be displayed, and add a mask layer between the background layer and the foreground layer.

Optionally, acquiring the brightness information in the current environment includes:

The brightness information in the current environment is obtained in real time through the photosensitive device.

Another aspect of the embodiments of the present application provides an image adaptive brightness adjustment device, the device includes: an acquisition module, a processing module, and an adjustment module;

The acquisition module is used to acquire the brightness information in the current environment;

a processing module, configured to determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, wherein the image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer;

Adjustment module to adjust the opacity of the mask layer to the target opacity.

Optionally, the processing module is specifically configured to determine the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information.

Optionally, the acquisition module is further configured to acquire multiple sets of brightness information and suitable screen brightness data corresponding to the brightness information; establish a second functional relationship according to the multiple sets of brightness information and suitable screen brightness data corresponding to the brightness information; The first functional relationship is obtained by adjusting; the processing module is specifically configured to determine a relationship formula between the brightness information and the transparency of the mask layer according to the first functional relationship; and calculate the target transparency of the mask layer based on the relationship formula and the brightness information.

Optionally, the processing module is specifically used to obtain the preset photopic curve and the preset scotopic curve; in response to the user's operation, the preset photopic curve and the preset scotopic curve and the second functional relationship are fitted and adjusted. processing to obtain the first functional relationship.

Optionally, the first functional relationship is a first functional curve conforming to the Bezier curve rule, and the first functional curve indicates the first functional relationship; the processing module is specifically configured to determine according to the position of the brightness information in the first functional curve. The target transparency of the mask layer.

Optionally, the relational formula is: N=(1-L/A); wherein, N is the transparency of the mask layer, L is the luminance information, and A is a preset conversion coefficient.

Optionally, the acquiring module is further configured to acquire the background layer and the foreground layer of the image to be displayed, and add a mask layer between the background layer and the foreground layer.

Optionally, the obtaining module is specifically configured to obtain the brightness information in the current environment in real time through the light sensing device.

In another aspect of the embodiments of the present application, a computer device is provided, including: a memory and a processor, wherein a computer program that can be run on the processor is stored in the memory, and when the processor executes the computer program, the above-mentioned image adaptive method is implemented A step of.

Another aspect of the embodiments of the present application provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, implements the steps of the above-mentioned image adaptation method.

The beneficial effects of the embodiments of the present application include:

In the image adaptive method, device, device, and storage medium provided in the embodiments of the present application, brightness information in the current environment can be obtained; the target transparency of the mask layer corresponding to the image to be displayed is determined according to the brightness information, wherein the to-be-displayed image is The display image includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer; the transparency of the mask layer is adjusted to the target transparency. Among them, after the target transparency of the mask layer is adjusted through the brightness information, the brightness that meets the user's visual needs can be obtained, thereby improving the matching between the brightness adjustment result and the user's needs, and improving the user's sense of experience, so that the user can experience different Obtain a display image with suitable screen brightness under the environment of light intensity.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following drawings will briefly introduce the drawings that need to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore do not It should be regarded as a limitation of the scope, and for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.

1 is a schematic diagram of an application scenario of an image adaptive method provided by an embodiment of the present application;

FIG. 2 is a schematic flowchart 1 of an image adaptive method according to an embodiment of the present application;

FIG. 3 is a second schematic flowchart of a method for adapting an image according to an embodiment of the present application;

FIG. 4 is a third schematic flowchart of a method for adapting an image according to an embodiment of the present application;

5 is a schematic diagram of a second function curve provided by an embodiment of the present application;

6 is a schematic diagram of the curves of photopic and scotopic vision provided by an embodiment of the present application;

7 is a schematic diagram of a first function curve provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of an image adaptive apparatus provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a computer device provided by an embodiment of the present application.

Detailed ways

In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments It is a part of the embodiments of the present application, but not all of the embodiments. The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations.

Thus, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present application.

It should be noted that like numerals and letters refer to like items in the following figures, so once an item is defined in one figure, it does not require further definition and explanation in subsequent figures.

In the description of the present application, it should be noted that the terms "first", "second", "third", etc. are only used to distinguish descriptions, and cannot be understood as indicating or implying relative importance.

The actual application scenarios of the image adaptation method provided by the embodiments of the present application will be explained in detail below.

FIG. 1 is a schematic diagram of an application scenario of an image adaptive method provided by an embodiment of the present application. Please refer to FIG. 1 . The method can be applied to an electronic device with a display function, such as a projection device, a computer, and the like. In the embodiments of the present application, an application scenario of a projection device is taken as an example. The scenario includes at least: a projection device 100 and a light sensing device 200; The brightness information in the environment, and can send the brightness information to the projection device 100; the projection device 100 can map the to-be-displayed image 300 to a position where the image can be displayed, such as a whiteboard, a curtain, or a wall, according to the brightness information, wherein the to-be-displayed image 300 can be is an image displayed on a UI (User Interface, user interface) on the projection device 100 . A background layer 310 and a foreground layer 320 are included, and a mask layer 330 may also be disposed between the background layer 310 and the foreground layer 320 .

The background layer 310 may be the background color of the system main body in the image to be displayed or the background color of a specific category page. For example, if the image to be displayed is the main page of an application program, the background of the main page is the above-mentioned background. Floor.

The foreground layer 320 may be images such as videos, pictures, posters and other images that the user can operate in the image to be displayed, as well as virtual buttons that the user can click, or some text information displayed, for example, if the image to be displayed is an application The main page of the program, the clickable virtual controls and the real sub-video windows in the main page are the above-mentioned foreground layers.

The mask layer 330 may be a mask layer disposed between the background layer 310 and the foreground layer 320, the initial state is an opaque pure black mask layer, and the transparency of the mask layer can be modified.

The specific implementation process of the image adaptive method provided in the embodiments of the present application will be explained in detail below.

FIG. 2 is a schematic flowchart 1 of an image adaptive method provided by an embodiment of the present application. Please refer to FIG. 2 . The method includes:

S210: Acquire brightness information in the current environment.

Optionally, the brightness information in the current environment can be obtained through a light-sensing device provided on the electronic device, wherein the light-sensing device can specifically be a photoelectric sensor, and a corresponding electrical signal is generated according to the obtained brightness information in the current environment. , and can transmit electrical signals to the projection equipment.

The brightness information may specifically be the illuminance in the current environment, the illuminance is the luminous flux irradiated from the light source to a unit area, and the unit of the illuminance is lux (lux, lx for short).

The current environment may be the environment where the projection device is located. For example, when the projection device is located in a certain room indoors, the illuminance in the current room is the brightness information in the current environment.

S220: Determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information.

The image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer.

Optionally, after determining the brightness information in the current environment, the light sensing device can send the brightness information to the electronic device, and the electronic device can calculate and process the obtained brightness information based on the pre-stored calculation rules, and then obtain the corresponding processing. As a result, the result of this processing is the target transparency of the mask layer.

The target transparency may be the transparency corresponding to satisfying the user's visual requirement under the condition of the current brightness information calculated according to the pre-stored calculation rule.

S230: Adjust the transparency of the mask layer to the target transparency.

Optionally, after the target transparency is determined, the transparency of the mask layer in the image to be displayed may be adjusted to the target transparency. Correspondingly, when the transparency of the mask layer is adjusted to the target transparency, the brightness of the screen displayed by the image to be displayed can meet the visual requirement of the user.

In an image adaptive method provided by the embodiment of the present application, the brightness information in the current environment can be obtained; the target transparency of the mask layer corresponding to the to-be-displayed image is determined according to the brightness information, wherein the to-be-displayed image includes a background layer and a foreground layer layer, the mask layer is located between the background layer and the foreground layer; adjust the opacity of the mask layer to the target opacity. Among them, after the target transparency of the mask layer is adjusted through the brightness information, the brightness that meets the user's visual needs can be obtained, thereby improving the matching between the brightness adjustment result and the user's needs, and improving the user's sense of experience, so that the user can experience different Obtain a display image with suitable screen brightness under the environment of light intensity.

Optionally, determining the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information includes: determining the target transparency of the mask layer according to a first functional relationship between the brightness information and the transparency of the mask layer and the brightness information.

Optionally, the first functional relationship may be a logical relationship obtained through pre-calculation, and after the logical relationship is acquired, the logical relationship may be stored in the electronic device. The first functional relationship may specifically be a corresponding relationship between the luminance information and the transparency of the mask layer. For example, after the electronic device obtains the brightness information within any preset range, it can determine the transparency of the mask layer corresponding to the brightness information according to the first functional relationship.

Another specific implementation process of the image adaptive method provided in the embodiment of the present application will be explained in detail below.

FIG. 3 is a second schematic flowchart of an image adaptive method provided by an embodiment of the present application. Referring to FIG. 3 , before determining the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information , the method also includes:

S310: Obtain multiple sets of brightness information and appropriate picture brightness data corresponding to the brightness information.

Optionally, the screen brightness data may be the brightness value displayed by the image to be displayed, and may specifically refer to the brightness of the image to be displayed. The brightness refers to the brightness of a surface, that is, the luminous flux reflected from a surface, in units of for nits.

The specific sets of data used are shown in Table 1 below:

Table 1

环境亮度Ambient brightness	小于1luxless than 1lux	14lux14lux	23lux23lux
投影流明Projection lumens	470lm470lm	1200lm1200lm	1800lm1800lm
适宜画面亮度Appropriate screen brightness	50nit50nit	130nit130nit	200nit200nit

Among them, the projected lumens can be the luminous flux during projection, and the luminous flux is the light power emitted by the light source in all directions, that is, the light energy emitted per unit time, and the unit is lumens (lumen, lm for short). The ambient brightness is the aforementioned brightness information, and the suitable picture brightness is the suitable picture brightness data corresponding to the brightness information. The above data can be obtained by taking a 100-inch (221cm×125cm) screen as an example.

In Table 1, when the ambient brightness is less than 1lux and the projected lumen is 470lm, the corresponding suitable screen brightness is 50nit; when the ambient brightness is 14lux and the projected lumen is 1200lm, the corresponding suitable screen brightness is 130nit; when the ambient brightness is 23lux, the corresponding suitable screen brightness is 130nit. When the projected lumen is 1800lm, the corresponding suitable screen brightness is 200nit. It should be noted that the ambient brightness refers to the ambient brightness sensed when the projection screen is turned off, the above data is only a part of the pre-acquired data, and multiple sets of data can also be obtained during the actual pre-calculation process.

Among them, there is a functional relationship between projected lumens and suitable screen brightness, and the specific relationship formula is as follows:

T=(M×X)/(π×S);

Among them, M is the projected lumens, X is the screen gain, which can be 1.0, T is the suitable screen brightness, and S is the projected area of the screen. For example, if a 100-inch screen is projected, the projected size is about 3m ² . Then S is 3m ² ; if a 120-inch screen is projected, the projected size is about 4m ² , then S is 4m ² ; if a 70-inch screen is projected, the projected size is about 1.7m ² , then S is 1.7m ² .

S320: Establish a second functional relationship according to multiple sets of brightness information and appropriate picture brightness data corresponding to the brightness information.

Optionally, after obtaining the suitable picture brightness data corresponding to the above-mentioned multiple sets of brightness information and brightness information, a second functional relationship can be established based on these data, wherein the second functional relationship can be the suitable picture brightness data corresponding to the brightness information and the brightness information. The linear data relationship between the two, through the second functional relationship, after the electronic device obtains any value of the brightness information, it can obtain suitable screen brightness data corresponding to the brightness information.

S330: Adjust the second functional relationship to obtain the first functional relationship.

Optionally, the first functional relationship is the corresponding relationship between the brightness information and the transparency of the mask layer, and the second functional relationship is the corresponding relationship between the brightness information and the appropriate screen brightness, and the second function can be based on preset adjustment rules. The relationship is adjusted to obtain the first functional relationship.

S340: Determine a relationship formula between the luminance information and the transparency of the mask layer according to the first functional relationship.

Optionally, after the first functional relationship is obtained, the first functional relationship may be represented in the form of a relationship formula, that is, the luminance information and the transparency of the mask layer are represented by a mathematical functional relationship.

S350: Calculate the target transparency of the mask layer based on the relational formula and the luminance information.

Optionally, after the above-mentioned relational formula is obtained, the specific value of the luminance information may be brought into the relational formula for calculation, thereby obtaining the target transparency of the mask layer.

FIG. 4 is a schematic flowchart diagram 3 of an image adaptive method provided by an embodiment of the present application. Referring to FIG. 4 , the second functional relationship is adjusted to obtain the first functional relationship, including:

S410: Acquire a preset bright vision curve and a preset dark vision curve.

Optionally, the photopic curve and the scotopic curve can be used to reflect the functional relationship curve between people's subjective brightness perception and light intensity in bright environment and dark environment respectively, wherein, human subjective brightness perception can be the difference between human vision and brightness. The perception of information, the light intensity can be specifically expressed in the form of its logarithm, which can be the logarithm of the light intensity corresponding to the appropriate screen brightness data.

S420: In response to the user's operation, perform fitting and adjustment processing on the preset photopic curve and the preset scotopic curve and the second functional relationship to obtain the first functional relationship.

Optionally, the user can perform fitting adjustment through a preset software program, and specifically can adjust the curve corresponding to the second functional relationship through a specific software program, and compare the curve corresponding to the second functional relationship with the preset bright vision curve, preset The scotopic curve is fitted and adjusted, for example: for a certain brightness information in the curve of the second functional relationship, it is determined that the preset fitting is satisfied in combination with the corresponding relationship in the preset photopic curve and the preset scotopic curve. According to the condition, the brightness information is adjusted in the curve of the second functional relationship, and so on, each brightness information in the second functional relationship curve is adjusted accordingly, and finally the first functional relationship is obtained.

The above process will be explained below through the schematic diagram of the second function curve, the schematic diagrams of the photopic and scotopic curves, respectively.

FIG. 5 is a schematic diagram of a second function curve provided by an embodiment of the present application. Please refer to FIG. 5. In the second function curve, the horizontal axis is the brightness information, and the specific range can be 2lux-23lux; the vertical axis is the mask layer. The transparency, the specific range can be 50nit-200nit.

Fig. 6 is the curve schematic diagram of photopic vision and scotopic vision provided by the embodiment of the application, please refer to Fig. 6, in the curve of photopic vision and scotopic vision, the horizontal axis is the logarithm of the light intensity, specifically can be -6mL-4mL, The vertical axis is the subjective brightness of human vision, and the specific unit can be lux. The scotopic curve may be two separate curves, and the photopic curve may be one continuous curve.

Optionally, the human eye's adaptation and discrimination of brightness is non-linear, because digital images are displayed as a discrete grayscale set, so it is important to study the human eye's ability to discriminate between different brightness levels. The human visual system is capable of adapting to light intensities on the order of 10^10 from the dark threshold to strong flashes. Experimental data indicate that subjective brightness (brightness as perceived by the human visual system) is a logarithmic function of the light intensity entering the human eye.

Optionally, the first functional relationship is a first functional curve conforming to the Bezier curve rule, and the first functional curve indicates the first functional relationship; according to the first functional relationship and the brightness information, determining the target transparency of the mask layer, including:

Optionally, according to the Bezier curve rules, a smooth curve can be drawn according to the coordinates of any point at the four positions, and through the adjustment of the second function curve by the user, the first function that satisfies the Bezier curve rules can be obtained. curve.

Optionally, after the first function curve is determined, the brightness information may be brought into the curve for calculation to obtain the target transparency of the mask layer corresponding to the brightness information.

Optionally, the above relational formula is:

N=(1-L/A);

Among them, N is the transparency of the mask layer, L is the brightness information, and A is a preset conversion coefficient.

In the actual calculation process, A can specifically obtain its specific value according to multiple data calculations, that is to say, A is a constant, for example, it can take a value of 23.

The following will explain the logical relationship formula of the first function curve in the above process through the schematic diagram of the first function curve.

FIG. 7 is a schematic diagram of a first function curve provided by an embodiment of the present application. Please refer to FIG. 7. In the first function curve, the horizontal axis may be brightness information, and the specific range may be 2lux-23lux; the vertical axis may be the mask layer. Transparency, the specific range can be 50nit-200nit.

According to the curve relationship in Figure 7, it can be obtained that the transparency between the brightness information and the mask layer can be positively correlated. When the value of the brightness information is higher, the transparency of the mask layer is higher, and accordingly, the background brightness is brighter; when The lower the value of the brightness information, the lower the transparency of the mask layer, and accordingly, the darker the background brightness, so as to realize the human eye perception comfort function.

Optionally, only the background layer and the foreground layer are usually included in the image to be displayed. In order to realize the method for adjusting the transparency of the mask layer adopted in the embodiments of the present application to realize the brightness adjustment, a pre-insertion can be performed between the background layer and the foreground layer. A mask layer.

Optionally, the UI display effect presented to the user is as follows: the background layer is dimmed by the mask layer located in the middle due to the change of pure black transparency, and the foreground layer located on the top layer is highlighted because it is not blocked.

Optionally, the light-sensing device is the light-sensing device described above, specifically, a photoelectric sensor or other types of photoelectric conversion devices. The light-sensing device can be installed on the electronic device, or can be communicated and connected to the electronic device. In the same environment, there is no restriction here.

The following describes the apparatus, equipment, storage medium, etc. corresponding to the image self-adaptation method provided by the present application, and the specific implementation process and technical effect thereof are referred to above, and will not be repeated below.

FIG. 8 is a schematic structural diagram of an image adaptive device provided by an embodiment of the present application. Please refer to FIG. 8 , which provides an image adaptive brightness adjustment device. The device includes: an acquisition module 10, a processing module 20, and an adjustment module 30;

an acquisition module 10, used for acquiring brightness information in the current environment;

The processing module 20 is configured to determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, wherein the image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer;

The adjustment module 30 is used for adjusting the transparency of the mask layer to the target transparency.

Optionally, the processing module 20 is specifically configured to determine the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information.

Optionally, the obtaining module 10 is further configured to obtain multiple sets of brightness information and suitable screen brightness data corresponding to the brightness information; establish a second functional relationship according to the multiple sets of brightness information and the suitable screen brightness data corresponding to the brightness information; The relationship is adjusted to obtain a first functional relationship; the processing module 20 is specifically configured to determine a relationship formula between the brightness information and the transparency of the mask layer according to the first functional relationship; and calculate the target transparency of the mask layer based on the relationship formula and the brightness information.

Optionally, the processing module 20 is specifically configured to obtain a preset photopic curve and a preset scotopic curve; in response to a user's operation, the preset photopic curve and the preset scotopic curve are fitted with the second functional relationship. The adjustment process is performed to obtain the first functional relationship.

Optionally, the first functional relationship is a first functional curve conforming to the Bezier curve rule, and the first functional curve indicates the first functional relationship; the processing module 20 is specifically configured to, according to the position of the brightness information in the first functional curve, Determines the target transparency of the mask layer.

Optionally, the acquiring module 10 is further configured to acquire the background layer and the foreground layer of the image to be displayed, and add a mask layer between the background layer and the foreground layer.

Optionally, the obtaining module 10 is specifically configured to obtain the brightness information in the current environment in real time through the light sensing device.

The foregoing apparatus is used to execute the method provided by the foregoing embodiment, and the implementation principle and technical effect thereof are similar, which will not be repeated here.

The above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more specific integrated circuits (Application Specific Integrated Circuit, ASIC for short), or one or more microprocessors (digital singnal) processor, referred to as DSP), or, one or more Field Programmable Gate Array (Field Programmable Gate Array, referred to as FPGA) and the like. For another example, when one of the above modules is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a central processing unit (Central Processing Unit, CPU for short) or other processors that can call program codes. For another example, these modules can be integrated together and implemented in the form of a system-on-a-chip (SOC for short).

FIG. 9 is a schematic structural diagram of a computer device provided by an embodiment of the present application. Please refer to FIG. 9. The computer device includes: a memory 400 and a processor 500. The memory 400 stores a computer program that can run on the processor 500, and the processor 500 When a computer program is executed, the steps of the above-mentioned image adaptation method are implemented.

Another aspect of the embodiments of the present application further provides a computer-readable storage medium, where a computer program is stored on the storage medium, and when the computer program is executed by a processor, implements the steps of the above-mentioned image adaptation method.

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of units is only a logical function division. In actual implementation, there may be other division methods, for example, multiple units or components may be combined or integrated. to another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

Units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional units.

The above-mentioned integrated units implemented in the form of software functional units can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, and includes several instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to execute the methods of the various embodiments of the present invention. some steps. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, referred to as: ROM), random access memory (English: Random Access Memory, referred to as: RAM), magnetic disk or optical disk, etc. Various media that can store program code.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. Any person skilled in the art who is familiar with the technical scope disclosed in the present application can easily think of changes or replacements, which should be covered within the scope of the present application. within the scope of protection of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

The above descriptions are only preferred embodiments of the present application, and are not intended to limit the present application. For those skilled in the art, the present application may have various modifications and changes. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of this application shall be included within the protection scope of this application.

Claims

An image adaptive method, characterized in that the method comprises:

Get the brightness information in the current environment;

Determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, wherein the image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer;

Adjust the transparency of the mask layer to the target transparency.
The method of claim 1, wherein the determining, according to the brightness information, the target transparency of the mask layer corresponding to the image to be displayed comprises:

The target transparency of the mask layer is determined according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information.
The method according to claim 2, wherein, before determining the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information, The method also includes:

Obtain multiple sets of brightness information and appropriate picture brightness data corresponding to the brightness information;

establishing a second functional relationship according to a plurality of sets of the brightness information and suitable picture brightness data corresponding to the brightness information;

Adjusting the second functional relationship to obtain the first functional relationship;

The determining the target transparency of the mask layer according to the first functional relationship between the brightness information and the transparency of the mask layer and the brightness information includes:

According to the first functional relationship, determine the relationship formula between the brightness information and the transparency of the mask layer;

The target transparency of the mask layer is calculated based on the relational formula and the luminance information.
The method of claim 3, wherein adjusting the second functional relationship to obtain the first functional relationship comprises:

Obtain the preset bright vision curve and the preset dark vision curve;

In response to the user's operation, the preset photopic curve and the preset scotopic curve are fitted and adjusted with the second functional relationship to obtain a first functional relationship.
The method according to any one of claims 2-4, wherein the first functional relationship is a first functional curve conforming to a Bezier curve rule, and the first functional curve indicates the first functional relationship ;

The determining the target transparency of the mask layer according to the first functional relationship and the brightness information includes:

The target transparency of the mask layer is determined according to the position of the luminance information in the first function curve.
The method of claim 3, wherein the relational formula is:

N=(1-L/A); wherein, N is the transparency of the mask layer, L is the brightness information, and A is a preset conversion coefficient.
The method according to claim 1, wherein before determining the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, the method further comprises:

The background layer and the foreground layer of the image to be displayed are acquired, and the mask layer is added between the background layer and the foreground layer.
The method of claim 1, wherein the acquiring the brightness information in the current environment comprises:

The brightness information in the current environment is acquired in real time through the photosensitive device.
An image adaptive device, characterized in that the device comprises: an acquisition module, a processing module, and an adjustment module;

The obtaining module is used to obtain the brightness information in the current environment;

The processing module is configured to determine the target transparency of the mask layer corresponding to the image to be displayed according to the brightness information, wherein the image to be displayed includes a background layer and a foreground layer, and the mask layer is located between the background layer and the foreground layer. between the foreground layers;

The adjustment module is configured to adjust the transparency of the mask layer to the target transparency.
A computer device, characterized by comprising: a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and when the processor executes the computer program, the above claim 1 is realized to the steps of any one of 8.
A computer-readable storage medium, characterized in that, a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.