CN106331427A - Saturation enhancement method and device - Google Patents

Abstract

The present invention discloses a saturation enhancement method and apparatus, belonging to the field of display technologies. The method comprises the steps of acquiring layer feature information of at least one layer corresponding to display content; identifying a layer type of each layer according to the layer feature information; for each layer, selecting a saturation enhancement manner corresponding to the layer type, and enhancing the layer by using the saturation enhancement manner; and displaying display content overlaid by the enhanced layers. When each frame of display content in the terminal is enhanced by using the same saturation enhancement manner, the user interface (UI) layer is less attractive. The method solves the above problem. Each frame of layer in the terminal and different type of layers use different saturation enhancement manners, so that each type of layer has better colors, and the display effect of final display content is improved overall.

Description

Saturation enhancement method and device

technical field

The present disclosure relates to the field of display technology, in particular to a saturation enhancement method and device.

Background technique

Saturation refers to the vividness of color, also known as the purity of color. Saturation depends on the ratio of chromatic and achromatic components in the color. The larger the color component, the greater the saturation; the larger the achromatic component, the smaller the saturation.

There is a saturation enhancement method in the related art, and the saturation enhancement method can enhance the color of an image. After the saturation enhancement method is used for each frame of image displayed in the terminal, the display effect of the terminal can be improved.

Contents of the invention

In order to solve the problem that some pictures are inappropriately enhanced when the same saturation enhancement method is used for each frame display content, the present disclosure provides a saturation enhancement method and device. Described technical scheme is as follows:

According to a first aspect of the present disclosure, a saturation enhancement method is provided, the method comprising:

Obtaining layer feature information of at least one layer corresponding to the displayed content;

identifying the layer type of each of the layers according to the layer feature information;

For each layer, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer;

and displaying the display content formed by superimposing the enhanced layers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

Identify the layer type of each layer based on layer feature information, including:

For each layer, detect whether the change trend of the number of pixels corresponding to the adjacent color scale values in the current layer belongs to the sudden change trend;

If the change trend does not belong to the sudden change trend, the layer type of the determined layer is a natural layer;

If the change trend belongs to the abrupt change feature, then determine that the layer type of the layer is a user interface layer;

Wherein, adjacent color scale values refer to two color scale values whose value difference is smaller than a predetermined value.

In an optional embodiment, the mutation trend includes:

There are n ₁ groups of adjacent color scale values corresponding to a difference in the number of pixels greater than the first threshold;

or,

The ratio of the number of pixels corresponding to n ₂ groups of adjacent color scale values is greater than the second threshold;

Wherein, n ₁ and n ₂ are positive integers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

Identify the layer type of each layer based on layer feature information, including:

For each layer, detect whether the color scale value and/or the number of pixels in the current layer conform to the regularity feature;

If the color scale value and/or the number of pixels have regular characteristics, it is determined that the layer type of the layer is a user interface layer;

If the color scale value and/or the number of pixels do not have regular characteristics, it is determined that the layer type of the layer is a natural layer.

In an optional embodiment, regularity features include:

The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple;

or,

There are n ₄ color scale values corresponding to the same number of pixels in each color channel;

or,

There are n ₅ color scale values corresponding to the number of pixels in each color channel meeting the predetermined ratio, and the predetermined ratio is not equal to 1;

or,

There are n ₆ pixels having the same color scale value in each color channel;

Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers.

In an optional embodiment, the method also includes:

In the pixel distribution correspondence, the color scale values whose number of pixels is lower than the noise threshold are filtered.

In an optional embodiment, acquiring layer feature information of at least one layer corresponding to the display content includes:

According to the stacking order of at least one layer in the display content, mark the effective display area of each layer;

The layer feature information of the effective display area in each layer is extracted.

In an optional embodiment, the saturation enhancement method corresponding to the layer type is selected, and the saturation enhancement method is used to enhance the layer, including:

If the layer type is a natural layer, use the first saturation enhancement method to enhance the layer;

If the layer type is a user interface layer, use the second saturation enhancement method to enhance the layer, or keep the layer data of the layer unchanged;

Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode.

In an optional embodiment, the method also includes:

Detect whether the opening condition of the saturation enhancement function is met;

If the enhancement condition is satisfied, the step of obtaining the layer feature information of the layer is executed.

According to a second aspect of the present disclosure, a saturation enhancement device is provided, the device comprising:

An acquisition module configured to acquire layer feature information of at least one layer corresponding to the displayed content;

An identification module configured to identify the layer type of each layer according to the layer feature information;

The enhancement module is configured to, for each of the layers, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer;

The display module is configured to display the display content formed by superimposing the enhanced layers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

The identification module is configured to, for each layer, detect whether the change trend of the number of pixels corresponding to the adjacent color scale value in the current layer belongs to the sudden change trend; if the change trend does not belong to the sudden change trend, then determine the layer's The layer type is a natural layer; if the change trend belongs to a sudden change feature, then the layer type of the layer is determined to be a user interface layer;

Wherein, adjacent color scale values refer to two color scale values whose value difference is smaller than a predetermined value.

In an optional embodiment, the mutation trend includes:

There are n ₁ groups of adjacent color scale values corresponding to a difference in the number of pixels greater than the first threshold;

or,

The ratio of the number of pixels corresponding to n ₂ groups of adjacent color scale values is greater than the second threshold;

Wherein, n ₁ and n ₂ are positive integers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

The identification module is configured to, for each layer, detect whether the color scale value and/or the number of pixels in the current layer conform to regular characteristics; if the color scale value and/or the number of pixels have regular characteristics, then determine the layer The layer type of the layer is a user interface layer; if the color scale value and/or the number of pixels do not have regular characteristics, the layer type of the layer is determined to be a natural layer.

In an optional embodiment, regularity features include:

The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple;

or,

There are n ₄ color scale values corresponding to the same number of pixels in each color channel;

or,

There are n5 color scale values corresponding to the number of pixels in each color channel meeting the predetermined ratio, and the predetermined ratio is not equal to 1;

or,

There are n ₆ pixels having the same color scale value in each color channel;

Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers.

In an optional embodiment, the device also includes:

The filtering module is configured to filter the color scale values whose number of pixels is lower than the noise threshold in the pixel distribution correspondence.

In an optional embodiment, the acquisition module is configured to mark the effective display area of each layer according to the stacking order of at least one layer in the display content; extract the layer features of the effective display area in each layer information.

In an optional embodiment, the enhancement module is configured to use the first saturation enhancement method to enhance the layer when the layer type is a natural layer; when the layer type is a user interface layer, use the first The second saturation enhancement method enhances the layer, or keeps the layer data of the layer unchanged;

Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode.

In an optional embodiment, the device also includes:

An enabling module configured to detect whether a condition for enabling the saturation enhancement function is met;

The acquiring module is configured to execute the step of acquiring the layer feature information of the layer when the enhancement condition is satisfied.

According to a third aspect of the present disclosure, a saturation enhancement device is provided, the device comprising:

processor;

memory for storing processor-executable instructions;

where the processor is configured as:

Obtaining layer feature information of at least one layer corresponding to the displayed content;

Identify the layer type of each layer according to the characteristic information of the layer;

For each layer, select the saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer;

Display the display content formed by superimposing the enhanced layers.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

By obtaining the layer characteristic information of at least one layer corresponding to the displayed content, identify the graphic type of each layer according to the layer characteristic information, select the saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to The layer is enhanced to display the display content formed by the superposition of the enhanced layer; it solves the problem that when the same saturation enhancement method is used for each frame display content in the terminal, the beauty of the UI layer will be reduced; to achieve For each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and layers of each layer type can get better colors, thereby improving the display effect of the final display content as a whole.

It is to be understood that both the foregoing general description and the following detailed description are exemplary only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

Fig. 1A is a flowchart of a saturation enhancement method according to an exemplary embodiment;

Fig. 1B is a schematic structural diagram of display content according to an exemplary embodiment;

Fig. 2A is a schematic diagram of a natural layer and a histogram of "color scale value-number of pixels" of the natural layer according to an exemplary embodiment;

Fig. 2B is a schematic diagram of a UI layer and a histogram of "color scale value-number of pixels" of the UI layer according to an exemplary embodiment;

Fig. 2C is a schematic diagram of a UI layer and a histogram of "color scale value-number of pixels" of the UI layer shown according to another exemplary embodiment;

Fig. 2D is a schematic diagram of a UI layer and a histogram of "color scale value-number of pixels" of the UI layer according to another exemplary embodiment;

Fig. 3 is a flowchart of a saturation enhancement method according to another exemplary embodiment;

Fig. 4 is a flowchart of a method for enhancing saturation according to another exemplary embodiment;

Fig. 5 is a flow chart of a method for enhancing saturation according to another exemplary embodiment;

Fig. 6 is a flowchart of a method for enhancing saturation according to another exemplary embodiment;

Fig. 7 is a block diagram of a device for enhancing saturation according to an exemplary embodiment;

Fig. 8 is a block diagram of a device for enhancing saturation according to another exemplary embodiment.

detailed description

Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

In related technologies, generally, the same saturation enhancement method is used for each frame of display content displayed on the terminal. A frame of display content is usually superimposed by multiple layers (English: layers), but not every frame layer is suitable for saturation enhancement. For example, the lock screen interface of a smart phone includes: a status bar layer, a wallpaper layer and a desktop icon layer, wherein the status bar layer and the desktop icon layer belong to the user interface (User Interface, UI) layer, and the UI layer It is an artificially designed layer. The original readability of the UI layer is already very good, so a large saturation enhancement of the UI layer will reduce the beauty of the UI layer. To this end, the present disclosure provides the following exemplary embodiments.

Fig. 1A is a flow chart of a saturation enhancement method according to an exemplary embodiment. This embodiment is described by taking the method applied to a terminal capable of image processing as an example. The method includes:

In step 102, layer feature information of at least one layer corresponding to the display content is acquired.

In step 104, the layer type of each layer is identified according to the layer feature information.

In step 106, for each layer, select a saturation enhancement mode corresponding to the layer type, and use the saturation enhancement mode to enhance the layer.

In step 108, the display content formed by superimposing the enhanced layers is displayed.

To sum up, the saturation enhancement method provided by this embodiment obtains the layer feature information of at least one layer corresponding to the display content, identifies the graphic type of each layer according to the layer feature information, and selects the graphic type corresponding to the layer type. The corresponding saturation enhancement method uses the saturation enhancement method to enhance each layer, and displays the display content formed by superimposing the enhanced layers; solves the problem of using the same saturation for each frame display content in the terminal When the saturation enhancement method is used, the aesthetics of the UI layer will be reduced; for each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and the layers of each layer type can be better. color, thereby improving the display effect of the final display content as a whole.

Fig. 1B is a schematic structural diagram of a frame of display content 10 according to an exemplary embodiment. The displayed content 10 is a mobile phone home page. The homepage of the mobile phone includes three layers: a status bar (Status bar) layer 12 , a desktop icon layer 14 and a wallpaper layer 16 . Wherein, the status bar layer 12 is at the top layer, the desktop icon layer 14 is at the middle layer, and the wallpaper layer 16 is at the bottom layer. Layers located above have the ability to mask layers located below. The stacking order of each layer is determined by the corresponding z-order value of the layer. Z-order refers to the hierarchical relationship between layers (also called display objects). Typically, layers corresponding to higher z-order values are placed on top of layers corresponding to lower z-order values.

In the terminal, the display content 10 is synthesized by the above three layers. The origin of each layer may or may not be the same. Optionally, the source of the layer includes at least one of a CPU (Central Processing Unit, central processing unit), a GPU (Graphics Processing Unit, graphics processing unit), and a video decoding chip. After these layers are synthesized in an AP (Application Processor, application processor), they are displayed on a display screen.

Optionally, the layer types include: natural layer and UI layer. A natural layer refers to a layer generated according to a naturally existing object, or a layer generated by simulating a naturally existing object. Common natural layers include: layers captured by the camera, layer frames obtained after decoding the video, layer frames in the simulated world rendered in real time by the game rendering engine, etc. The UI layer refers to the layer used for human-computer interaction. The UI layer is manually designed.

Natural layers and UI layers have different layer feature information. Taking the layer adopting the red green blue (RGB) color format as an example, a frame layer includes pixels distributed according to X rows and Y columns, that is, a total of X*Y pixels. Each pixel consists of three color channels: red channel R, green channel G, and blue channel B. For a pixel, each color channel of the pixel has a color scale value, and the value range of the color scale value is [0, 255]. For example, the color scale values of a pixel in the three color channels are (255, 0, 0), that is, the color scale value of the red channel R is 255, the color scale value of the green channel G is 0, and the color scale value of the blue channel B is The color scale value is 0.

It should be noted that the color scale value may also be called: brightness value, gray value, channel value and other names. The embodiment of the present disclosure is described by taking three color channels as an example, but this is not limited thereto. When the layers adopt different color formats, a frame layer may also have 4 color channels or more color channels.

FIG. 2A shows a frame of natural layer and histograms of "color scale value-number of pixels" of the natural layer in three color channels. The natural layer is an outdoor landscape, and the histogram shows the corresponding relationship of pixel distribution in the natural layer in the form of a graph. The corresponding relationship of pixel distribution includes the relationship between each color scale value and the number of pixels with the color scale value corresponding relationship. In the histogram, the abscissa is the color scale value, and the ordinate is the number of pixels with the color scale value in the layer. Usually, the value range of the color scale value is [0, 255]. For example:

For the red channel R of the layer, the number of pixels with a color scale value of 0 is 1, the number of pixels with a color scale value of 1 is 2, the number of pixels with a color scale value of 2 is 2, and the number of pixels with a color scale value of 2 is The number of pixels of 3 is 5, ,,,, the number of pixels with a color scale value of 67 is 130, ,,,, the number of pixels with a color scale value of 255 is 1.

For the green channel G of the layer, the number of pixels with a color scale value of 0 is 0, the number of pixels with a color scale value of 1 is 0, the number of pixels with a color scale value of 2 is 1, and the number of pixels with a color scale value of The number of pixels of 3 is 5, ,,,, the number of pixels with a color scale value of 102 is 130, ,,,, the number of pixels with a color scale value of 255 is 0.

For the blue channel B of the layer, the number of pixels with a color scale value of 0 is 0, ,,,, the number of pixels with a color scale value of 24 is 50, and the number of pixels with a color scale value of 25 is 52 , The number of pixels with a color scale value of 26 is 56, ,,,, the number of pixels with a color scale value of 255 is 1.

It can be seen from the histogram that the change trend of the number of pixels corresponding to adjacent color scale values is a gradual trend, that is, it conforms to the characteristics of a normal distribution, and no sudden change will occur. The number of pixels corresponding to various color scale values is random and scattered. For example, the ratio of the number of pixels corresponding to adjacent color scale values is 0.9907635, which is difficult to divisible data.

FIG. 2B shows a frame of UI layer and histograms of "color scale value-number of pixels" of the UI layer in three color channels. The UI layer includes various color squares that change according to the gradient. In the corresponding histogram, the number of pixels corresponding to each color gradation value is periodically distributed, and a larger value will appear every X color gradation values (the vertical line in the figure).

FIG. 2C shows another UI layer and histograms of "color scale value-number of pixels" of the UI layer in three color channels. The UI layer includes color bands that change in a gradient. In the corresponding histogram, the number of pixels corresponding to each color scale value is periodically distributed, the number of pixels corresponding to one part of the color scale value is Y, the number of pixels corresponding to the other part of the color scale value is 2Y, and the number of pixels corresponding to the two part of the color scale value appear alternately and periodically on the abscissa.

FIG. 2D shows another UI layer and histograms of "color scale value-number of pixels" of the UI layer in three color channels. This UI layer includes a monochrome background and a floral pattern in the center section. Since the color scale value of each pixel in a monochromatic background is exactly the same, in the corresponding histogram, most of the color scale values are 0 or no more than 50, only a small part located in the middle left The color scale value has achieved a large value, and the number of pixels corresponding to this part of the color scale value and the number of pixels corresponding to the adjacent color scale values on both sides show a sudden change, from a large value to a small value. Optionally, the smaller value is a value within (0, 50).

It can be seen from Fig. 2B to Fig. 2D that since the UI layer is an artificially designed layer, it usually adopts a single-color background, or a combination design of several basic colors, or regularly designs patterns; so the UI layer The number of pixels corresponding to adjacent color scale values in the histogram has a sudden change feature, or the color scale value in the UI layer, the number of pixels with a certain color scale value, and the color scale value of some pixels in each color channel are in the Regular features appear in certain dimensions.

In the following embodiments of FIG. 3 to FIG. 5 , how to identify the layer type of the layer in step 104 is described in detail. Wherein, in the embodiment of Fig. 3, the identification of the layer type is carried out by using the abrupt change feature; in the embodiment of Fig. 4, the identification of the layer type is carried out by using the regular feature; in the embodiment of Fig. type identification.

Fig. 3 is a flow chart of a saturation enhancement method according to another exemplary embodiment. This embodiment is described by taking the method applied to a terminal capable of image processing as an example. The method includes:

In step 301, at least one layer corresponding to the display content is acquired.

During normal operation, the terminal will generate frames of display content to be displayed. The displayed content of each frame is usually formed by superimposing several layers. For each layer, the layer is the UI layer generated by the operating system, or the UI layer generated by the application program, or the natural layer played by the video player, or the game program generated Natural layers, or photos taken by camera programs, etc.

Before each layer is superimposed to become the display content, the terminal obtains each layer and the superimposition sequence of each layer.

In step 302, layer feature information of each layer is obtained, and the layer feature information includes pixel distribution correspondences of at least one color channel.

Optionally, the pixel distribution correspondence includes a correspondence between each color scale value and the number of pixels having the color scale value. That is, the corresponding relationship shown in FIG. 2A to FIG. 2D .

For each layer, after obtaining the layer data of the current layer, the terminal calculates the pixel distribution correspondence of at least one color channel of the current layer through the layer data, which is used as the layer feature information of the current layer.

Optionally, the terminal calculates the pixel distribution correspondence of one of the color channels; optionally, the terminal calculates the pixel distribution correspondence of two of the color channels; optionally, the terminal calculates the pixel distribution correspondence of all color channels , depending on factors such as the terminal's computing capability, computing speed, and real-time requirements.

In step 303, in the pixel distribution correspondence, the color scale values whose number of pixels is lower than the noise threshold are filtered.

Due to the corresponding relationship of pixel distribution, there are very few pixels corresponding to some color scale values, which belong to meaningless noise. Optionally, the terminal filters color scale values whose number of pixels is lower than the noise threshold. "Filtering" refers to removing the color scale value whose number of pixels is lower than the noise threshold, or in other words, when the number of pixels corresponding to a certain color scale value is lower than the noise threshold, the number of pixels corresponding to the color scale value is set to 0.

Optionally, the noise threshold is a numerical threshold, for example, the noise threshold is 60; optionally, the noise threshold is a proportional threshold, for example: one ten-thousandth of the total pixels.

In step 304, for each layer, it is detected whether the change trend of the number of pixels corresponding to the adjacent color scale values of the current layer belongs to a sudden change trend.

Optionally, the sudden change trend includes: there are n ₁ groups of adjacent color scale values corresponding to a difference in the number of pixels greater than the first threshold; or, there are n ₂ groups of adjacent color scale values corresponding to a ratio of the number of pixels greater than The second threshold; wherein, n ₁ and n ₂ are positive integers.

Adjacent color gradation values refer to: the i th gradation value and the i+k th gradation value, where i is an integer and k is a preset value. For example: k is 1, the first color scale value and the second color scale value are adjacent color scale values; the 102nd color scale value and the 103rd color scale value are adjacent color scale values; another example , k is 2, the 1st and 3rd color gradation values are adjacent color gradation values, and the 99th and 101st color gradation values are adjacent color gradation values. Optionally, the value of k is predefined by the research and development personnel.

Taking the current layer as an example, the terminal will detect whether the change trend of the number of pixels corresponding to n groups of adjacent color scale values belongs to a sudden change trend. Optionally, the terminal performs detection on all adjacent color scale values, or the terminal performs detection on a group of adjacent color scale values every predetermined number.

If it does not belong to the abrupt change trend, then the layer type of the layer is a natural layer, and proceed to step 305; if it belongs to the abrupt change trend, then the layer type of the layer is a UI layer, and proceed to step 306.

For example, when the difference in the number of pixels corresponding to 4 groups of adjacent color scale values is greater than 80, it is determined that the layer type of the layer is a UI layer; when the difference in the number of pixels corresponding to all adjacent color scale values If the values are all less than 80, or there is only one, two or three groups of adjacent color scale values corresponding to a difference in the number of pixels greater than 80, it is determined that the layer type of the layer is a natural layer.

In step 305, it is determined that the layer type is a natural layer, and the layer is enhanced using the first saturation enhancement method;

Optionally, the first saturation enhancement method refers to: converting each pixel of the image from the original color format to the HSV (Hue, Saturation, Value; hue, saturation, lightness) format, and converting the saturation of each pixel to The value of the S component is increased by a predetermined value A1, and then each pixel in the enhanced image is converted to the HSV format and converted back to the original color format, then the saturation of the image will be enhanced.

In step 306, the layer type is determined to be a UI layer, and the layer is enhanced using the second saturation enhancement method, or the layer data of the layer remains unchanged.

Optionally, the second saturation enhancement method refers to: converting each pixel of the image from the original color format to the HSV format, increasing the value of the saturation S component of each pixel by a predetermined value A2, and then adding the enhanced Each pixel in the image is reconverted from HSV format back to the original color format, then the saturation of the image will be enhanced.

Optionally, the predetermined value A2 is smaller than the predetermined value A1, that is, the saturation enhancement level for natural images is greater than the saturation enhancement level for UI images.

It should be noted that, this embodiment does not limit the manner of enhancing the saturation, and the manner of enhancing the saturation is only a schematic illustration. In addition, since one frame of display content usually corresponds to multiple layers, it is necessary to perform steps 304 to 306 for each layer.

Step 307, displaying the display content formed by superimposing the enhanced layers.

After each layer is enhanced with saturation in different degrees (including no enhancement), the enhanced layers are superimposed and synthesized to obtain a frame of display content. The terminal displays the synthesized display content.

To sum up, the saturation enhancement method provided by this embodiment, for each layer corresponding to the display content, detects whether the change trend of the number of pixels corresponding to the adjacent color scale value in the current layer conforms to the abrupt change feature ; If it does not meet the sudden change feature, identify the layer as a natural layer and use the first saturation enhancement method to enhance it; if it meets the sudden change feature, identify the layer as a UI layer and use the second saturation enhancement Enhanced or not enhanced, display the display content formed by the superposition of the enhanced layer; solve the problem that when the same saturation enhancement method is used for each frame layer in the terminal, the beauty of the UI layer will be reduced ; It is achieved that for each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and layers of each layer type can get better colors, thereby improving the display effect of the terminal as a whole.

The saturation enhancement method provided in this embodiment can also reduce the interference of the noise data to the subsequent detection process by filtering the noise data in the pixel distribution correspondence relationship, and improve the calculation accuracy.

In the embodiment in FIG. 3, the terminal uses the "sudden change feature" to detect the layer type. As an alternative implementation, the terminal uses "regularity features" to detect layer types. In this case, steps 304 to 306 can be replaced by steps 304 a to 306 a, as shown in FIG. 4 .

In step 304a, for each layer, it is detected whether the color scale value and/or the number of pixels in the current layer conform to the regularity feature.

Since the UI layer is an artificially designed layer, the corresponding relationship between the color scale value, the number of pixels with certain color scale values, the color scale value and the number of pixels corresponding to the color scale value, and the number of pixels that some pixel values have Dimensions such as the color scale value of , have regular characteristics.

Optionally, the regular features of the UI layer include but are not limited to at least one of the following features:

1. The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple.

Taking FIG. 2B as an example, the number of pixels corresponding to the i-th color scale value is X, and the number of pixels corresponding to the i+k-th color scale value is X. The ratio of the number of pixels corresponding to many groups of adjacent color scale values is 1;

Taking FIG. 2C as an example, the number of pixels corresponding to the i-th color scale value is Y, and the number of pixels corresponding to the i+k-th color scale value is 2Y. The ratio of the number of pixels corresponding to many sets of adjacent color scale values is 2.

2. There are n ₄ color scale values corresponding to the same number of pixels in each color channel.

Taking FIG. 2B or FIG. 2C or FIG. 2D as an example, each color scale value corresponds to the same number of pixels in the red channel R, the green channel G, and the blue channel B.

3. There are n ₅ color scale values, the number of pixels corresponding to each color channel meets a predetermined ratio, and the predetermined ratio is not equal to 1.

For example, there is a UI layer that only includes the first type of pixels with a color scale value of (255,0,0) and the second type of pixels with a color scale value of (0,255,0), and the first type of pixels occupies the total pixels 1/3 of the number, and the second type of pixels occupies 2/3 of the total number of pixels. Assuming that for a color scale value of 0, the number of pixels corresponding to the red channel R is 200, the number of pixels corresponding to the green channel G is 100, and the number of pixels corresponding to the blue channel B is 200, then the color scale value 0 is in the red channel The ratio of the number of pixels to the green channel is 2, and the ratio of the number of pixels in the green and blue channels is 1/2.

4. There are n ₆ pixels having the same color scale value in each color channel.

For example, for a monochromatic layer or the layer shown in Figure 2D, there are more than 100 pixels with exactly the same color scale value (a, b, c).

Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers.

For each layer, the terminal will detect whether the color scale value and/or the number of pixels in the current layer conform to the regularity feature. Optionally, the terminal performs the detection on all the color scale values and/or the number of pixels, or the terminal performs the detection on a part of the color scale values and/or the number of pixels by sampling.

If the color scale value and/or the number of pixels do not have regular characteristics, then determine that the layer type of the layer is a natural layer, and enter step 305a; if the color scale value and/or the number of pixels have regular characteristics, then determine the If the layer type of the layer is UI layer, go to step 306a.

In step 305a, it is determined that the layer type is a natural layer, and the layer is enhanced using the first saturation enhancement method;

In step 306a, it is determined that the layer type is a UI layer, and the layer is enhanced using the second saturation enhancement method, or the layer data of the layer remains unchanged.

Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode.

To sum up, the saturation enhancement method provided by this embodiment detects whether the color scale value and/or the number of pixels conform to the regularity feature; if there is no regularity feature, the layer is identified as a natural layer, and the first layer is used The first saturation enhancement method is used for enhancement. If there are regular characteristics, the layer is recognized as a UI layer, and the second saturation enhancement method is used for enhancement or not; it solves the problem of using the same method for each frame layer in the terminal. When the saturation enhancement method is used, it will reduce the aesthetics of the UI layer; for each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and the layers of each layer type can be obtained. Better color, thereby improving the display effect of the terminal as a whole.

In the embodiment in FIG. 3 , the terminal uses the “sudden change feature” to detect the layer type; in the embodiment in FIG. 4 , the terminal uses the “regularity feature” to detect the layer type. In an optional embodiment, the terminal uses both the "sudden change feature" and the "regular feature" to detect the layer type. At this time, step 304 to step 307 can be replaced by implementing step 304b, step 305b, step 306b, step 307b and step 308, as shown in FIG. 5 .

In step 304b, for each layer, it is detected whether the color scale value and/or the number of pixels of the current layer conform to the regularity feature.

Optionally, the regular features of the UI layer include but are not limited to at least one of the following features:

1. The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple.

2. There are n ₄ color scale values corresponding to the same number of pixels in each color channel.

3. There are n ₅ color scale values, the number of pixels corresponding to each color channel meets a predetermined ratio, and the predetermined ratio is not equal to 1.

4. There are n ₆ pixels having the same color scale value in each color channel.

Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers.

If the color scale value and/or the number of pixels do not have regular characteristics, then enter step 305b to continue detection; if the color scale value and/or the number of pixels have regular characteristics, then determine that the layer type of the layer is a UI layer, Go to step 307b.

In step 305b, it is detected whether the change trend of the number of pixels corresponding to the adjacent color scale values of the current layer belongs to the sudden change trend.

Optionally, the sudden change trend includes: there are n ₁ groups of adjacent color scale values corresponding to a difference in the number of pixels greater than the first threshold; or, there are n ₂ groups of adjacent color scale values corresponding to a ratio of the number of pixels greater than The second threshold; wherein, n ₁ and n ₂ are positive integers.

If it does not belong to the abrupt change trend, then the layer type of the layer is a natural layer, and proceed to step 506; if it belongs to the abrupt change trend, then the layer type of the layer is a UI layer, and proceed to step 507.

In step 306b, if the layer type is a natural layer, then use the first saturation enhancement method to enhance the layer;

In step 307b, if the layer type is a UI layer, the layer is enhanced using the second saturation enhancement method, or the layer data of the layer remains unchanged.

Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode.

In step 308, the display content formed by superimposing the enhanced layers is displayed.

To sum up, the saturation enhancement method provided by this embodiment can identify the layer type of the layer very accurately through the double detection mechanism of "regularity feature" and "mutant change feature", and then the natural image The first saturation enhancement is performed on the layer, and the second saturation enhancement or no enhancement is performed on the UI layer, so that each layer corresponding to the display content can be reasonably enhanced; it solves the problem of adopting each frame layer in the terminal The same saturation enhancement method will reduce the aesthetics of the UI layer; for each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and each layer type layer can be A better color is obtained, thereby improving the display effect of the terminal as a whole.

The saturation enhancement method provided in this embodiment can also reduce the interference of the noise data to the subsequent detection process by filtering the noise data in the pixel distribution correspondence relationship, and improve the calculation accuracy.

Since the non-transparent pixels in the upper layer will cover the pixels in the lower layer, some areas in the lower layer will actually not be displayed to the user. In other words, a layer may all be valid display areas, or a layer may include valid display areas and invalid display areas. The effective display area is an area that will eventually appear in the display content, and the invalid display area is an area that will not appear in the display area. In order to reduce the amount of calculation, step 302 can be replaced by step 302a and step 302b, as shown in Figure 6:

Step 302a, according to the stacking sequence of at least one layer in the display content, mark the effective display area of each layer.

Optionally, the stacking order between layers is determined by the corresponding z-order value of the layers. The layer corresponding to the higher z-order value is placed on the upper layer of the layer corresponding to the lower z-order value Step 302b, the layer feature information of the effective display area in each layer is extracted.

Pixels in each layer can be divided into: transparent pixels and non-transparent pixels. Transparent pixels include fully transparent pixels and semi-transparent pixels. The terminal calculates the first area where the non-transparent pixels in the upper layer are located, and subtracts the first area from the overall area of the lower layer to obtain the second area. The second area is the effective display area of the lower layer.

Step 302b, extracting the layer feature information of the effective display area in each layer.

To sum up, the saturation enhancement device provided in this embodiment can reduce the calculation amount of the terminal and increase the calculation speed of the terminal when the saturation is enhanced by marking the effective display area of each layer. Optionally, when the terminal enhances the saturation, it only needs to perform saturation enhancement on the effective display area in the layer.

The following are device embodiments of the present disclosure, which can be used to implement the method embodiments of the present disclosure. For details not disclosed in the disclosed device embodiments, please refer to the disclosed method embodiments.

Fig. 7 is a structural block diagram of a device for enhancing saturation according to an exemplary embodiment. The saturation enhancing device can be implemented as all or part of a terminal with image processing capabilities through a dedicated hardware circuit, and/or a combination of software and hardware. The unit includes:

The obtaining module 720 is configured to obtain layer feature information of at least one layer corresponding to the display content;

The identification module 740 is configured to identify the layer type of each layer according to the layer characteristic information;

The enhancement module 760 is configured to, for each of the layers, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer;

The display module 780 is configured to display the display content formed by superimposing the enhanced layers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

The identification module 740 is configured to, for each layer, detect whether the change trend of the number of pixels corresponding to the adjacent color scale value in the current layer belongs to the sudden change trend; if the change trend does not belong to the sudden change trend, then determine the layer The layer type of the layer is a natural layer; if the change trend belongs to a sudden change feature, then the layer type of the determined layer is a user interface layer;

Wherein, adjacent color scale values refer to two color scale values whose value difference is smaller than a predetermined value.

In an optional embodiment, the abrupt change trend includes: there are n ₁ groups of adjacent color scale values corresponding to a difference in the number of pixels greater than the first threshold; or, there are n ₂ groups of pixels corresponding to adjacent color scale values The ratio of the numbers is greater than the second threshold; wherein, n ₁ and n ₂ are positive integers.

In an optional embodiment, the layer characteristic information includes the pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes the correspondence between the color scale value and the number of pixels with the color scale value;

The identification module 740 is configured to, for each layer, detect whether the color scale value and/or the number of pixels in the current layer conform to the regularity feature; if the color scale value and/or the number of pixels have the regularity feature, then determine The layer type of the layer is a user interface layer; if the color scale value and/or the number of pixels do not have regular characteristics, the layer type of the layer is determined to be a natural layer.

In an optional embodiment, the regularity features include: there are n ₃ groups of adjacent color scale values corresponding to which the ratio of the number of pixels is an integer multiple; or, there are n ₄ color scale values corresponding to each color channel The number of pixels is equal; or, there are n ₅ color scale values corresponding to the number of pixels in each color channel that meet the predetermined ratio, and the predetermined ratio is not equal to 1; or, there are n ₆ pixels in each color channel that have The same color scale value; wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers.

In an optional embodiment, the device also includes:

The filtering module is configured to filter the color scale values whose number of pixels is lower than the noise threshold in the pixel distribution correspondence.

In an optional embodiment, the acquisition module 720 is configured to mark the effective display area of each layer according to the stacking order of at least one layer in the display content; extract the layers of the effective display area in each layer characteristic information.

In an optional embodiment, the enhancement module 760 is configured to use the first saturation enhancement method to enhance the layer when the layer type is a natural layer; when the layer type is a user interface layer, use The second saturation enhancement method enhances the layer, or keeps the layer data of the layer unchanged;

Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode.

In an optional embodiment, the device also includes:

An enabling module configured to detect whether a condition for enabling the saturation enhancement function is met;

The acquiring module is configured to execute the step of acquiring the layer feature information of the layer when the enhancement condition is satisfied.

To sum up, the saturation enhancement device provided in this embodiment uses at least one detection mechanism among the two detection mechanisms of "regularity feature" and "abrupt change feature", and identifies each layer according to the feature information of the layer. Graphics type, select the saturation enhancement method corresponding to the layer type, use the saturation enhancement method to enhance each layer, and display the display content formed by the superposition of the enhanced layers; solve the problem of each terminal in the terminal When the frame display content adopts the same saturation enhancement method, the beauty of the UI layer will be reduced; for each frame layer in the terminal, different layer types adopt different saturation enhancement methods, and each layer type All the layers can get better colors, so as to improve the display effect of the final display content as a whole.

The saturation enhancement device provided in this embodiment can also reduce the interference of the noise data to the subsequent detection process by filtering the noise data in the pixel distribution correspondence relationship, and improve the calculation accuracy.

Regarding the apparatus in the foregoing embodiments, the specific manner in which each module executes operations has been described in detail in the embodiments related to the method, and will not be described in detail here.

An exemplary embodiment of the present disclosure provides a saturation enhancement device capable of implementing the saturation enhancement method provided in the present disclosure. The saturation enhancement device includes: a processor and a memory for storing processor-executable instructions; wherein, The processor is configured as:

Obtain layer feature information of at least one layer corresponding to the displayed content.

Identify the layer type of each layer based on the layer feature information.

For each layer, select the saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer.

Display the display content formed by superimposing the enhanced layers.

Fig. 8 is a block diagram of a device for enhancing saturation according to an exemplary embodiment. For example, the apparatus 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, and the like.

8, apparatus 800 may include one or more of the following components: processing component 802, memory 804, power supply component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816 .

The processing component 802 generally controls the overall operations of the device 800, such as those associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 802 may include one or more processors 818 to execute instructions to complete all or part of the steps of the above method. Additionally, processing component 802 may include one or more modules that facilitate interaction between processing component 802 and other components. For example, processing component 802 may include a multimedia module to facilitate interaction between multimedia component 808 and processing component 802 .

The memory 804 is configured to store various types of data to support operations at the device 800 . Examples of such data include instructions for any application or method operating on device 800, contact data, phonebook data, messages, pictures, videos, and the like. The memory 804 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk.

The power supply component 806 provides power to the various components of the device 800 . Power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for device 800 .

The multimedia component 808 includes a screen that provides an output interface between the device 800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense a boundary of a touch or a swipe action, but also detect duration and pressure associated with the touch or swipe operation. In some embodiments, the multimedia component 808 includes a front camera and/or a rear camera. When the device 800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capability.

The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a microphone (MIC) configured to receive external audio signals when the device 800 is in operation modes, such as call mode, recording mode and voice recognition mode. Received audio signals may be further stored in memory 804 or sent via communication component 816 . In some embodiments, the audio component 810 also includes a speaker for outputting audio signals.

The I/O interface 812 provides an interface between the processing component 802 and a peripheral interface module, which may be a keyboard, a click wheel, a button, and the like. These buttons may include, but are not limited to: a home button, volume buttons, start button, and lock button.

Sensor assembly 814 includes one or more sensors for providing status assessments of various aspects of device 800 . For example, the sensor component 814 can detect the open/closed state of the device 800, the relative positioning of components, such as the display and keypad of the device 800, the sensor component 814 can also detect a change in the position of the device 800 or a component of the device 800, the user Presence or absence of contact with device 800 , device 800 orientation or acceleration/deceleration and temperature change of device 800 . Sensor assembly 814 may include a proximity sensor configured to detect the presence of nearby objects in the absence of any physical contact. The sensor assembly 814 may also include optical sensors, such as CMOS or CCD layered sensors, for use in imaging applications. In some embodiments, the sensor component 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.

The communication component 816 is configured to facilitate wired or wireless communication between the apparatus 800 and other devices. The device 800 can access wireless networks based on communication standards, such as Wi-Fi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 also includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, Infrared Data Association (IrDA) technology, Ultra Wide Band (UWB) technology, Bluetooth (BT) technology and other technologies.

In an exemplary embodiment, apparatus 800 may be programmed by one or more application specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic component implementation for performing the saturation enhancement method described above.

In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as the memory 804 including instructions, which can be executed by the processor 818 of the device 800 to implement the aforementioned saturation enhancement method. For example, the non-transitory computer readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, and the like.

Other embodiments of the present disclosure will be readily apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any modification, use or adaptation of the present disclosure, and these modifications, uses or adaptations follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure . The specification and examples are to be considered exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It should be understood that the present disclosure is not limited to the precise constructions which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (17)

1. A method for enhancing saturation, characterized in that the method comprises: Obtaining layer feature information of at least one layer corresponding to the displayed content; identifying the layer type of each of the layers according to the layer feature information; For each layer, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer; and displaying the display content formed by superimposing the enhanced layers. 2. The method according to claim 1, wherein the feature information of the layer includes a pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes a color scale value and a color scale value having the color scale value The correspondence between the number of pixels; The identifying the layer type of each layer according to the layer feature information includes: For each of the layers, detecting whether the change trend of the number of pixels corresponding to the adjacent color scale values in the current layer belongs to a sudden change trend; If the change trend does not belong to the sudden change trend, then determine that the layer type of the layer is a natural layer; If the change trend belongs to the abrupt change feature, then determine that the layer type of the layer is a user interface layer; Wherein, the adjacent color scale values refer to two color scale values whose value difference is smaller than a predetermined value. 3. method according to claim 2, is characterized in that, described sudden change trend comprises: There are n ₁ groups of adjacent color scale values corresponding to the difference in the number of pixels greater than the first threshold; or, There are n ₂ groups of adjacent color scale values corresponding to the ratio of the number of pixels greater than the second threshold; Wherein, n ₁ and n ₂ are positive integers. 4. The method according to claim 1, wherein the feature information of the layer includes a pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes a color scale value and a color scale value having the color scale value The correspondence between the number of pixels; Identifying the layer type of each layer according to the layer feature information includes: For each of the layers, detecting whether the color scale value and/or the number of pixels in the current layer conform to the regularity feature; If the color scale value and/or the number of pixels has the regularity feature, then determine that the layer type of the layer is a user interface layer; If the color scale value and/or the number of pixels do not have the regularity feature, it is determined that the layer type of the layer is a natural layer. 5. The method according to claim 4, wherein the regularity feature comprises: The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple; or, There are n ₄ said color scale values corresponding to the same number of pixels in each color channel; or, There are n ₅ said color scale values corresponding to the number of pixels in each color channel meeting the predetermined ratio, and the predetermined ratio is not equal to 1; or, There are n ₆ pixels having the same color scale value in each color channel; Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers. 6. The method according to any one of claims 2 to 5, characterized in that the method further comprises: In the pixel distribution correspondence, the color scale values whose number of pixels is lower than a noise threshold are filtered. 7. The method according to any one of claims 1 to 5, wherein said acquiring layer feature information of at least one layer corresponding to the display content comprises: According to the stacking order of at least one layer in the display content, mark the effective display area of each layer; The layer feature information of the effective display area in each layer is extracted. 8. The method according to any one of claims 1 to 5, characterized in that, selecting a saturation enhancement method corresponding to the layer type, and using the saturation enhancement method to enhance the layer ,include: If the layer type is a natural layer, then use the first saturation enhancement method to enhance the layer; If the layer type is a user interface layer, then use the second saturation enhancement method to enhance the layer, or keep the layer data of the layer unchanged; Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode. 9. A saturation enhancement device, characterized in that the device comprises: An acquisition module configured to acquire layer feature information of at least one layer corresponding to the displayed content; An identification module configured to identify the layer type of each of the layers according to the layer feature information; The enhancement module is configured to, for each of the layers, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer; The display module is configured to display the display content formed by superimposing the enhanced layers. 10. The device according to claim 9, wherein the layer feature information includes a pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes a color scale value and a color scale value having the color scale value The correspondence between the number of pixels; The identification module is configured to, for each of the layers, detect whether the change trend of the number of pixels corresponding to the adjacent color scale values in the current layer belongs to a sudden change trend; if the change trend is not If it belongs to the sudden change trend, it is determined that the layer type of the layer is a natural layer; if the change trend belongs to the sudden change feature, then it is determined that the layer type of the layer is a user interface layer; Wherein, the adjacent color scale values refer to two color scale values whose value difference is smaller than a predetermined value. 11. The device according to claim 9, wherein the sudden change trend comprises: There are n ₁ groups of adjacent color scale values corresponding to the difference in the number of pixels greater than the first threshold; or, There are n ₂ groups of adjacent color scale values corresponding to the ratio of the number of pixels greater than the second threshold; Wherein, n ₁ and n ₂ are positive integers. 12. The device according to claim 9, wherein the layer feature information includes a pixel distribution correspondence of at least one color channel, and the pixel distribution correspondence includes a color scale value and a color scale value having the color scale value Correspondence between the number of pixels; The identification module is configured to, for each of the layers, detect whether the color scale value and/or the number of pixels in the current layer conform to a regular feature; if the color scale value and/or the If the number of pixels has the regularity feature, it is determined that the layer type of the layer is a user interface layer; if the color scale value and/or the number of pixels does not have the regularity feature, it is determined that the layer type is a user interface layer; The layer type of the above layer is natural layer. 13. The device according to claim 12, wherein the regularity feature comprises: The ratio of the number of pixels corresponding to n ₃ groups of adjacent color scale values is an integer multiple; or, There are n ₄ said color scale values corresponding to the same number of pixels in each color channel; or, There are n ₅ said color scale values corresponding to the number of pixels in each color channel meeting the predetermined ratio, and the predetermined ratio is not equal to 1; or, There are n ₆ pixels having the same color scale value in each color channel; Wherein, n ₃ , n ₄ , n ₅ , and n ₆ are positive integers. 14. The device according to any one of claims 10 to 13, further comprising: The filtering module is configured to, in the pixel distribution correspondence, filter the color scale values whose number of pixels is lower than a noise threshold. 15. The device according to any one of claims 9 to 13, wherein the acquisition module is configured to mark the effective display area of each layer according to the superposition order of at least one layer in the display content ; Extract layer feature information of the effective display area in each layer. 16. The device according to any one of claims 9 to 13, wherein the enhancement module is configured to use the first saturation enhancement method for the image when the layer type is a natural layer Enhance the layer; when the layer type is a user interface layer, use the second saturation enhancement method to enhance the layer, or keep the layer data of the layer unchanged; Wherein, the enhancement level of the second saturation enhancement mode is lower than the enhancement level of the first saturation enhancement mode. 17. A saturation enhancement device, characterized in that the device comprises: processor; memory for storing said processor-executable instructions; Wherein, the processor is configured as: Obtaining layer feature information of at least one layer corresponding to the displayed content; identifying the layer type of each of the layers according to the layer feature information; For each of the layers, select a saturation enhancement method corresponding to the layer type, and use the saturation enhancement method to enhance the layer; and displaying the display content formed by superimposing the enhanced layers.