CN108616700B - Image processing method and device, electronic equipment and computer readable storage medium - Google Patents
Image processing method and device, electronic equipment and computer readable storage medium Download PDFInfo
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Abstract
The application relates to an image processing method and device, an electronic device and a computer readable storage medium. The method comprises the following steps: the method comprises the steps of obtaining at least two brightening central points in an image to be processed, establishing a light effect model according to the brightening central points, wherein the light effect model is a model simulating light intensity change, and performing light ray adding effect processing on the image to be processed according to the light effect model. Because a plurality of brightening central points of the image to be processed can be obtained to establish the light effect model, the light ray adding effect is carried out on the image to be processed according to the light effect model, and the light ray processing effect can be improved.
Description
Technical Field
The present application relates to the field of computer technologies, and in particular, to an image processing method and apparatus, an electronic device, and a computer-readable storage medium.
Background
Along with the development of computer technology, image processing modes are more and more abundant, and people can adjust the light brightness of a shot object by moving the focus and the light measuring point in the shooting process, and can select the light improving point to add the light effect in the shot image, so that the outline of the shot object is highlighted, and a better shooting effect is achieved.
However, the conventional image processing method has a problem of poor effect of adding light.
Disclosure of Invention
The embodiment of the application provides an image processing method and device, electronic equipment and a computer readable storage medium, which can improve the effect of adding light.
An image processing method comprising:
acquiring at least two brightening central points in an image to be processed;
establishing a light effect model according to the brightening central point, wherein the light effect model is a model for simulating the change of light intensity;
and processing the light adding effect on the image to be processed according to the light effect model.
An image processing apparatus comprising:
the acquisition module is used for acquiring at least two brightening central points in the image to be processed;
the model establishing module is used for establishing a light effect model according to the brightening central point, and the light effect model is a model for simulating the change of light intensity;
and the processing module is used for processing the light ray adding effect on the image to be processed according to the light effect model.
An electronic device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of:
acquiring at least two brightening central points in an image to be processed;
establishing a light effect model according to the brightening central point, wherein the light effect model is a model for simulating the change of light intensity;
and processing the light adding effect on the image to be processed according to the light effect model.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring at least two brightening central points in an image to be processed;
establishing a light effect model according to the brightening central point, wherein the light effect model is a model for simulating the change of light intensity;
and processing the light adding effect on the image to be processed according to the light effect model.
The image processing method and device, the electronic device and the computer readable storage medium can acquire at least two brightening central points in the image to be processed, establish a light effect model according to the brightening central points, and perform light ray adding effect processing on the image to be processed according to the light effect model, wherein the light effect model is a model simulating light ray intensity change. Because a plurality of brightening central points of the image to be processed can be obtained to establish the light effect model, the light ray processing effect can be improved by processing the light ray adding effect on the image to be processed according to the light effect model.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram showing an internal structure of an electronic apparatus according to an embodiment;
FIG. 2 is a flow diagram of a method of image processing in one embodiment;
FIG. 3 is a flow chart of an image processing method in another embodiment;
FIG. 4 is a flowchart of an image processing method in yet another embodiment;
FIG. 5 is a flow diagram of creating a light effect model in one embodiment;
FIG. 6 is a schematic view of a light effect model in an embodiment;
FIG. 7 is a flow diagram of a method of image processing in one embodiment;
FIG. 8 is a block diagram showing the configuration of an image processing apparatus according to an embodiment;
FIG. 9 is a schematic diagram of an image processing circuit in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish one element from another. For example, a first client may be referred to as a second client, and similarly, a second client may be referred to as a first client, without departing from the scope of the present application. Both the first client and the second client are clients, but they are not the same client.
Fig. 1 is a schematic diagram of an internal structure of an electronic device in one embodiment. As shown in fig. 1, the electronic device includes a processor, a memory, and a network interface connected by a system bus. Wherein, the processor is used for providing calculation and control capability and supporting the operation of the whole electronic equipment. The memory is used for storing data, programs and the like, and the memory stores at least one computer program which can be executed by the processor to realize the wireless network communication method suitable for the electronic device provided by the embodiment of the application. The memory may include a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The computer program can be executed by a processor to implement an image processing method provided in the following embodiments. The internal memory provides a cached execution environment for the operating system computer programs in the non-volatile storage medium. The network interface may be an ethernet card or a wireless network card, etc. for communicating with an external electronic device. The electronic device may be a mobile phone, a tablet computer, or a personal digital assistant or a wearable device, etc.
FIG. 2 is a flow diagram of a method of image processing in one embodiment. The image processing method in this embodiment is described by taking the electronic device in fig. 1 as an example. As shown in fig. 2, the image processing method includes steps 202 to 206.
The image to be processed is an image which is composed of a plurality of pixel points and needs to be processed by adding a light effect. The image to be processed may be an image acquired by the electronic device in real time through a camera, or an image stored locally in the electronic device, or an image downloaded by the electronic device from a network. The light effect can be natural light, stage light, film light, contour light and the like. After the light source emits light, the light is diffused around the light source, and the intensity of the light is weakened along with the increase of the distance from the light source. The brightening central point is the pixel point corresponding to the light source center. The number of the highlighted center points may be 2, 3, 4, 5, etc., but is not limited thereto.
The electronic device can acquire the image to be processed and display the image to be processed. The electronic device may identify the image to be processed, determine the at least two brightening central points according to the object to be photographed of the image to be processed, and may also acquire the at least two brightening central points selected by the user according to the displayed image to be processed.
And step 204, establishing a light effect model according to the brightening central point, wherein the light effect model is a model for simulating the change of the light intensity.
The light effect model is a model for adding light effect processing to an image to be processed, and can simulate a curve of light intensity change emitted by a light source. And establishing a light effect model according to the brightening center point, namely using the brightening center point as a light source to simulate the light intensity change of the position of each pixel point. The electronic device performs processing of adding light effects to the image to be processed according to the light effect model, which may include brightening the image to be processed, changing the color of the image to be processed, and the like. The light effect reference model can be stored in the electronic device in advance, and the light effect reference model can be a model taking any reference pixel point in an image as a light source. After the brightening central point is obtained, the displacement of the brightening central point relative to the reference pixel point can be obtained, and the light effect model corresponding to the brightening central point is obtained after the light effect reference model is displaced.
For example, a light effect reference model P (x, y) with a reference pixel point with coordinates (0,0) as a light source model may be stored in the electronic device in advance. Suppose the selected highlight center point is (x)0，y0) If so, then the displacement of the brightened center point relative to the reference pixel point is (-x)0，-y0) Then the light effect model corresponding to the brightening central point obtained according to the displacement is P (x-x)0，y-y0). The obtained light effect model P (x-x)0，y-y0) In (1), to brighten the center point (x)0，y0) Is a light effect model of the light source.
The electronic equipment can acquire the environmental parameters of the image to be processed, and the light effect parameters in the light effect model are determined according to the environmental parameters. Alternatively, the light effect parameters may include color adjustment parameters, brightness enhancement coefficients, and the like. The color adjusting parameters may be used to adjust the color of the added light effect, and the color adjusting parameters may include a color conversion matrix, a color saturation, and the like, where the color conversion matrix may be used to adjust the color value of the pixel point, and the saturation refers to the vividness of the color. The color saturation can be used to adjust the color saturation of the pixel points, and the brightness enhancement factor can be used to adjust the intensity of the added light effect.
In an embodiment, the electronic device may determine color adjustment parameters in the light effect model from the collected color temperatures. Optionally, the electronic device may preset color adjustment parameters corresponding to different color temperatures, and after the color temperature of the image to be processed is collected, the color adjustment parameters corresponding to the collected color temperature may be directly obtained. The color adjustment parameters may change the hue and color saturation of the light effects added in the image to be processed. The electronic device may select an additional light effect type according to the color temperature, and the light effect type may include a sunset effect, a cloudy effect, a stage light effect, and the like, but is not limited thereto. Different color adjusting parameters can be set in different light effect types, for example, a sunset effect can set a color adjusting parameter of a warm tone, a value of a pixel point in an image to be processed at a channel R, G is increased, so that a light effect added to the image to be processed is yellow and red, a cloudy effect can set a color adjusting parameter of a cold tone, a value of a pixel point in a channel B in the image to be processed is increased, and a light effect added to the image to be processed is blue and gray, but not limited thereto.
The electronic equipment can construct corresponding light effect models according to the obtained at least two brightening central points, and the number of the light effect models corresponds to the number of the brightening central points one to one.
And step 206, adding light effects to the image to be processed according to the light effect model.
The electronic equipment performs light ray adding effect processing on the image to be processed according to the light effect model, can adjust the color value of a pixel point in the image to be processed, and can perform brightening processing on the image to be processed. Specifically, the electronic device can obtain a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model, and perform processing of adding a light effect on the pixel point according to the pixel enhancement coefficient. The pixel enhancement coefficient of the pixel point can be a pixel enhancement coefficient corresponding to a pixel point in a lighting effect model established by the closest brightening central point of the pixel point, and can also be weighted superposition of at least two pixel enhancement coefficients corresponding to pixel points in at least two lighting effect models in the image. The electronic device can add the light effect to the image to be processed in a mode of overlapping or multiplying the image to be processed by the pixel enhancement coefficient.
For example, assume that the image to be processed is H0(x, y) and the light effect model is P (x, y), the to-be-processed image H (x, y) after the processing of adding the light effect by the superposition method can be represented as H (x, y) ═ 1+ P (x, y)) H0(x, y), and the to-be-processed image after the light effect adding processing is performed by means of multiplication can be represented as H (x, y) ═ P (x, y) H0(x, y). It is understood that the process of adding ray effects can also be implemented in other ways, and is not limited herein.
The image processing method provided by the embodiment of the application can acquire at least two brightening central points in the image to be processed, establish a light effect model simulating light intensity change according to the brightening central points, and perform light adding effect processing on the image to be processed according to the light effect model. The method can acquire at least two brightening central points of the image to be processed to establish at least two corresponding light effect models, and can improve the light adding effect according to the processing of adding the light effect to the image to be processed by establishing the at least two light effect models.
As shown in fig. 3, in one embodiment, an image processing method is provided that further includes steps 302 to 306. Wherein:
The electronic device can identify the shot object area in the image to be processed. Specifically, the electronic device may acquire the focus position of the image to be processed to determine the region of the object to be shot, and may also determine the region of the object to be shot by using an image feature extraction method. Specifically, the image features of the image to be processed include color features, texture features, shape features, spatial relationship features, and the like, and the image feature extraction method may be, but is not limited to, a histogram method, a geometric parameter method, a boundary feature method, and the like. The highlight central points in the target area may be 1, 2, 3, etc. are not limited thereto. After the electronic equipment determines the area of the shot object in the image to be processed, namely the target area, at least one brightening central point in the target area is obtained. In one embodiment, the target area may be other areas where the effect of adding the chief ray is required.
The brightening central point outside the target area refers to at least one brightening central point which can be acquired by the electronic equipment from other areas outside the target area in the image to be processed after the target area is determined. The brightness enhancement coefficient can be associated with the distribution amplitude in the light effect model, and the larger the brightness enhancement coefficient is, the larger the distribution amplitude can be, and the larger the intensity of the added light effect is; the smaller the brightness enhancement factor, the smaller the distribution amplitude can be, and the less the intensity of the added light effect.
The electronic equipment is used for processing the first light effect on the brightening central point in the target area, namely the electronic equipment determines a light effect model corresponding to the brightening central point in the target area according to the brightening central point in the target area and a brightness enhancement coefficient of the first light effect, so that a pixel enhancement coefficient corresponding to a pixel point in the light effect model is obtained, and the processing of adding the first light effect to the pixel point in the target area is carried out according to the pixel enhancement coefficient. The method for processing the brightening central point outside the target area by the electronic device to perform the second light effect is similar to the method for processing the brightening central point outside the target area to perform the first light effect, and details are not repeated here.
Because the brightness enhancement coefficient of the second light effect is lower than that of the first light effect, after the electronic equipment finishes the processing of the first light effect and the second light effect of the image to be processed, the target area in the image to be processed can be highlighted, the outline of the shot object is better highlighted, and the effect of adding light is improved.
As shown in fig. 4, an image processing method provided in one embodiment further includes steps 402 to 408. Wherein:
The electronic equipment can detect the face of the image to be processed, judge whether the image to be processed contains the face, and if so, can determine the face area of the image to be processed. The electronic equipment can extract the image characteristics of the image to be processed, analyze the image characteristics through a preset human face detection model and judge whether the image to be processed contains a human face. In one embodiment, the face detection model may be a decision model constructed in advance through machine learning, when the face detection model is constructed, a large number of sample images may be obtained, the sample images include face images and unmanned images, the sample images may be labeled according to whether each sample image includes a face, the labeled sample images are used as input of the face detection model, and the face detection model is obtained through machine learning and training.
The electronic equipment carries out processing of the first light effect on the brightening central point in the face area, namely the electronic equipment obtains the brightening central point of the face area, a light effect model is established according to the brightening central point of the face area and parameters of the first light effect, a pixel enhancement coefficient corresponding to a pixel point in the face area is obtained according to the light effect model, and processing of adding the first light effect to the face area is carried out. The parameters of the light effect include a brightness enhancement factor, a color adjustment parameter, and the like. The electronic device may acquire at least one highlight center point of the face region. Specifically, the number of the highlighted central points may be associated with a proportion of the face region in the image to be processed, the larger the proportion is, the larger the number of the highlighted central points of the face region is, and the smaller the proportion is, the smaller the number of the highlighted central points of the face region is.
And 406, acquiring a human image area corresponding to the human face area in the image to be processed.
After the electronic equipment detects the face region in the image to be processed, the face region in the image to be processed can be obtained according to the face region and the depth information. The portrait and the face are generally on the same vertical plane, and the value of the depth information from the portrait to the image acquisition device and the value of the depth information from the face to the image acquisition device are in the same range. Therefore, after the face region is obtained, the depth information corresponding to the face region can be obtained from the depth map obtained by the electronic device, then the depth information corresponding to the portrait region can be obtained according to the depth information corresponding to the face region, and then the portrait region in the image to be processed can be obtained according to the depth information corresponding to the portrait region. It is understood that the portrait area may also be obtained by other methods, which are not limited in this embodiment. For example, the portrait area may be obtained by artificial intelligence, a region growing method, or the like.
The electronic equipment determines a portrait area according to the face area in the image to be processed, then can acquire at least one brightening central point of the portrait area, establishes a light effect model according to the brightening central point of the portrait area and parameters of a second light effect, acquires a pixel enhancement coefficient corresponding to a pixel point in the portrait area according to the light effect model of the portrait area, and adds the second light effect to the portrait area. Optionally, the electronic device may obtain a plurality of face regions and a plurality of portrait regions in the image to be processed, perform processing of a first light effect on the plurality of face regions, and perform processing of a second light effect on the plurality of portrait regions, where a brightness enhancement coefficient of the second light effect is lower than a brightness enhancement coefficient of the first light effect.
The electronic equipment carries out the processing of first light effect and second light effect to face region and portrait region respectively, and the luminance enhancement coefficient of second light effect is less than the luminance enhancement coefficient of first light effect, can stand out the portrait in the pending image, and it is stronger to make the face in the pending image add the light effect to better stand out the personage profile of pending image, make the light effect of adding better.
In one embodiment, an image processing method is provided in which a light effect model is built according to a highlight center point, as shown in fig. 5, including steps 502 to 506. Wherein:
Specifically, the light effect model may be constructed according to a two-dimensional gaussian distribution function. First, a two-dimensional gaussian distribution function is obtained as follows:
the function is a two-dimensional Gaussian distribution function with (0,0) as a maximum value point, wherein (x, y) represents pixel points in the image to be processed; p (x, y) represents a pixel enhancement coefficient when the pixel is subjected to brightening treatment; d is a standard deviation, the brightness enhancement coefficient can influence the size of d, the larger the brightness enhancement coefficient, the smaller d can be, and the smaller the brightness enhancement coefficient, the larger d can be. In the light effect model, pixel points at different positions of an image to be processed have different corresponding pixel enhancement coefficients, and the closer the pixel points are to the maximum value point, the stronger the pixel enhancement coefficient is, and the farther the pixel points are from the maximum value point, the smaller the pixel enhancement coefficient is.
And step 506, taking the brightened central point as a maximum value point of a two-dimensional Gaussian distribution function, and constructing a light effect model according to the maximum value point and the distribution amplitude.
In this embodiment, the lighting effect model is a two-dimensional gaussian distribution function, and the electronic device may determine the maximum point of the lighting effect model according to the position of the brightening center point, and determine the distribution amplitude according to the brightness enhancement coefficient. The maximum point of the light effect model can be used for determining the position of the light effect model, and the electronic device can take the brightening center point as the maximum point of the light effect model. The magnitude of the distribution of the light effect model can be used to describe the shape of the two-dimensional gaussian distribution function. The shape of the light effect model may be "thin and tall" the larger the brightness enhancement factor, and the shape of the light effect model may be "thin and small" the smaller the brightness enhancement factor.
And the electronic equipment establishes a light effect model according to the brightening central point, namely, the two-dimensional Gaussian distribution function is displaced, and the maximum value point of the two-dimensional Gaussian distribution function is moved to the position of the brightening central point to obtain the light effect model. Suppose the location of the brightened center point is (x)0,y0) Then, the resulting light effect model can be expressed as:
in the obtained light effect model, a central point (x) is highlighted0,y0) It is the maximum point, i.e. at the brightened center point (x)0,y0) Resulting pixel enhancement factor Po(x, y) max.
FIG. 6 is a schematic view of a light effect model in an embodiment. As shown in fig. 6, the resolution of the to-be-processed image in the light effect model is 50 × 50, and the coordinate value of the highlight center 602 is (25, 25). It can be seen that the pixel enhancement coefficient corresponding to the brightening central point 602 is the largest, the pixel enhancement coefficients corresponding to other pixel points in the image to be processed decrease with the increase of the distance from the brightening central point 602, and the pixel enhancement coefficients corresponding to the pixel points farther away from the brightening central point 602 are smaller.
In one embodiment, an image processing method is provided, further comprising: and determining a brightness enhancement coefficient in the optical model according to the brightness information of the image to be processed, wherein the brightness enhancement coefficient is used for adjusting the intensity of light intensity change in the light effect model.
The electronic device may set a standard brightness threshold value representing an ideal ratio of the brightness value of the photographed object to the brightness value of the image to be processed. When the brightness value of the shot object and the brightness value of the image to be processed reach an ideal ratio, a more ideal effect can be determined. After the electronic equipment collects the brightness information of the image to be processed, whether the ratio of the brightness value of the shot object to the brightness value of the image to be processed is smaller than a standard brightness threshold value or not can be judged. When the ratio is greater than the standard brightness threshold, the image to be processed may not be processed for adding the light effect. When the ratio is smaller than the standard brightness threshold, the brightness enhancement coefficient in the optical model can be determined according to the size of the ratio. The brightness enhancement coefficient in the optical model is in negative correlation with the ratio, and is increased when the ratio of the brightness value of the photographed object to the brightness value of the image to be processed is small, and is decreased when the ratio of the brightness value of the photographed object to the brightness value of the image to be processed is large. The brightness enhancement coefficient may also be adjusted according to the brightness value of the image to be processed, and the like, which is not limited herein.
As shown in fig. 7, in one embodiment, an image processing method is provided that further includes steps 702 to 704. Wherein:
and 702, acquiring a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model.
It can be understood that the image to be processed is a two-dimensional pixel matrix, a coordinate system can be established by using the leftmost lower pixel point of the image to be processed as the origin, and the pixel points in the image to be processed can be represented by one two-dimensional coordinate. The pixel enhancement coefficient of each pixel point in the image to be processed can be obtained according to the light effect model, and the coordinates corresponding to each pixel point can be directly brought into the light effect model to obtain the pixel enhancement coefficient of the pixel point. The electronic equipment can obtain the pixel enhancement coefficients of the pixels in the optical model established by the brightening central point closest to the pixels as the pixel enhancement coefficients corresponding to the pixels, can also obtain at least two pixel enhancement coefficients of the pixels in at least two light effect models in the image to be processed, and weights the at least two pixel enhancement coefficients to obtain the pixel enhancement coefficients corresponding to the pixels.
The electronic equipment adds the light effect to the pixel points according to the pixel enhancement coefficients corresponding to the pixel points, can add the light effect to all the pixel points in the image to be processed, can add the light effect to the target area, and can add the light effect to the face area and the portrait area. The area except the portrait area or the target area in the image to be processed can be not processed or can be weakened.
In one embodiment, an image processing method is provided, further comprising: when a plurality of pixel enhancement coefficients exist in a pixel point, weighting the plurality of pixel enhancement coefficients of the pixel point to obtain a pixel enhancement coefficient corresponding to the pixel point, and processing the pixel point according to the pixel enhancement coefficient corresponding to the pixel point.
Specifically, the electronic device may weight the plurality of pixel enhancement coefficients of the pixel point by taking an average value of all pixel enhancement coefficients of the pixel point as a pixel enhancement coefficient corresponding to the pixel point, or by taking an average value of the plurality of pixel enhancement coefficients of the pixel point in the light effect model established by the brightening central point of the region where the pixel point is located in the image to be processed as a pixel enhancement coefficient corresponding to the pixel point, or by taking a maximum pixel enhancement coefficient of the plurality of pixel enhancement coefficients of the pixel point as a pixel enhancement coefficient corresponding to the pixel point, and the weighting modes of the pixel enhancement coefficients may be various, which is not limited herein. The area where the pixel points are located can be a target area, an area outside the target area, a face area, a portrait area and the like.
The electronic device can perform ray adding effect processing on the pixel points according to the pixel enhancement coefficients corresponding to the weighted pixel points. Therefore, the shot object in the image to be processed is more prominent, and the light processing effect is improved.
In one embodiment, an image processing method is provided, and the specific steps for implementing the method are as follows:
first, the electronic device may acquire at least two highlighted central points in the image to be processed. The image to be processed is an image which is composed of a plurality of pixel points and needs to be processed by adding a light effect. The image to be processed can be an image acquired by the electronic equipment in real time through a camera, and can also be an image stored in the local part of the electronic equipment. The light effect can be natural light, stage light, film light, contour light and the like. The brightening central point is the pixel point corresponding to the light source center. The electronic device can acquire the image to be processed and display the image to be processed. The electronic device may identify the image to be processed, determine the at least two brightening central points according to the object to be photographed of the image to be processed, and may also acquire the at least two brightening central points selected by the user according to the displayed image to be processed.
And then, the electronic equipment establishes a light effect model according to the brightening central point, wherein the light effect model is a model for simulating the change of the light intensity. The light effect model is a model for adding light effect processing to an image to be processed, and can simulate a curve of light intensity change emitted by a light source. And establishing a light effect model according to the brightening center point, namely using the brightening center point as a light source to simulate the light intensity change of the position of each pixel point. The electronic device performs processing of adding light effects to the image to be processed according to the light effect model, which may include brightening the image to be processed, changing the color of the image to be processed, and the like. The light effect reference model can be stored in the electronic device in advance, and the light effect reference model can be a model taking any reference pixel point in an image as a light source. After the brightening central point is obtained, the displacement of the brightening central point relative to the reference pixel point can be obtained, and the light effect model corresponding to the brightening central point is obtained after the light effect reference model is displaced.
Optionally, the electronic device obtains a two-dimensional gaussian distribution function, determines a distribution amplitude according to the brightness enhancement coefficient, uses the brightening center point as a maximum value point of the two-dimensional gaussian distribution function, and constructs a light effect model according to the maximum value point and the distribution amplitude. The lighting effect model is a two-dimensional Gaussian distribution function, and the electronic equipment can determine a maximum value point of the lighting effect model according to the position of the brightening central point and determine the distribution amplitude according to the brightness enhancement coefficient. The maximum point of the light effect model can be used for determining the position of the light effect model, and the electronic device can take the brightening center point as the maximum point of the light effect model. The magnitude of the distribution of the light effect model can be used to describe the shape of the two-dimensional gaussian distribution function. And the electronic equipment establishes a light effect model according to the brightening central point, namely, the two-dimensional Gaussian distribution function is displaced, and the maximum value point of the two-dimensional Gaussian distribution function is moved to the position of the brightening central point to obtain the light effect model.
Optionally, a brightness enhancement coefficient in the light effect model is determined according to brightness information of the image to be processed, and the brightness enhancement coefficient is used for adjusting the intensity of light intensity change in the light effect model. The electronic device may set a standard brightness threshold value representing an ideal ratio of the brightness value of the photographed object to the brightness value of the image to be processed. When the ratio of the brightness value of the shot object to the brightness value of the image to be processed is smaller than the standard brightness threshold, the brightness enhancement coefficient in the optical model can be determined according to the size of the ratio. The brightness enhancement coefficient in the optical model is in negative correlation with the ratio, and is increased when the ratio of the brightness value of the photographed object to the brightness value of the image to be processed is small, and is decreased when the ratio of the brightness value of the photographed object to the brightness value of the image to be processed is large. The brightness enhancement coefficient may also be adjusted according to the brightness value of the image to be processed, and the like, which is not limited herein.
And then, the electronic equipment carries out processing of adding light effect on the image to be processed according to the light effect model. The electronic equipment performs light ray adding effect processing on the image to be processed according to the light effect model, can adjust the color value of a pixel point in the image to be processed, and can perform brightening processing on the image to be processed. Specifically, the electronic device can obtain a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model, and perform processing of adding a light effect on the pixel point according to the pixel enhancement coefficient. The electronic device can add the light effect to the image to be processed in a mode of overlapping or multiplying the image to be processed by the pixel enhancement coefficient.
Optionally, the electronic device obtains a target area of the image to be processed, the target area is an area of the object to be shot, the brightening central point in the target area is processed with a first light effect, the brightening central point outside the target area is processed with a second light effect, and a brightness enhancement coefficient of the second light effect is lower than that of the first light effect. The electronic device can identify the shot object area in the image to be processed. After the electronic equipment determines the area of the shot object in the image to be processed, namely the target area, at least one brightening central point in the target area is obtained. The electronic equipment is used for processing the first light effect on the brightening central point in the target area, namely the electronic equipment determines a light effect model corresponding to the brightening central point in the target area according to the brightening central point in the target area and a brightness enhancement coefficient of the first light effect, so that a pixel enhancement coefficient corresponding to a pixel point in the light effect model is obtained, and the processing of adding the first light effect to the pixel point in the target area is carried out according to the pixel enhancement coefficient. The method for processing the brightening central point outside the target area by the electronic equipment to perform the second light effect is similar to the method for processing the first light effect on the target area. Because the brightness enhancement coefficient of the second light effect is lower than that of the first light effect, after the electronic equipment finishes the processing of the first light effect and the second light effect of the image to be processed, the target area in the image to be processed can be highlighted, the outline of the shot object is better highlighted, and the effect of adding light is improved.
Optionally, the electronic device determines a face region of the image to be processed, performs processing of a first light effect on the brightening central point in the face region, obtains a portrait region corresponding to the face region in the image to be processed, and performs processing of a second light effect on the brightening central point in the portrait region, where a brightness enhancement coefficient of the second light effect is lower than that of the first light effect. The electronic equipment can detect the face of the image to be processed, judge whether the image to be processed contains the face, and if so, can determine the face area of the image to be processed. After the electronic equipment detects the face region in the image to be processed, the face region in the image to be processed can be obtained according to the face region and the depth information. The electronic equipment carries out the processing of first light effect and second light effect to face region and portrait region respectively, and the luminance enhancement coefficient of second light effect is less than the luminance enhancement coefficient of first light effect, can stand out the portrait in the pending image, and it is stronger to make the face in the pending image add the light effect to better stand out the personage profile of pending image, make the light effect of adding better.
Optionally, the electronic device obtains a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model, and performs processing of adding a light effect to the pixel point according to the pixel enhancement coefficient corresponding to the pixel point. The image to be processed is a two-dimensional pixel matrix, a coordinate system can be established by taking the leftmost lower pixel point of the image to be processed as an original point, and the pixel points in the image to be processed can be represented by one two-dimensional coordinate. The pixel enhancement coefficient of each pixel point in the image to be processed can be obtained according to the light effect model, and the coordinates corresponding to each pixel point can be directly brought into the light effect model to obtain the pixel enhancement coefficient of the pixel point. The electronic equipment adds the light effect to the pixel points according to the pixel enhancement coefficients corresponding to the pixel points, can add the light effect to all the pixel points in the image to be processed, can add the light effect to the target area, and can add the light effect to the face area and the portrait area.
Optionally, when the pixel point has a plurality of pixel enhancement coefficients, the electronic device weights the plurality of pixel enhancement coefficients of the pixel point to obtain a pixel enhancement coefficient corresponding to the pixel point, and processes the pixel point according to the pixel enhancement coefficient corresponding to the pixel point. The electronic device can weight the multiple pixel enhancement coefficients of the pixel point by taking an average value of all the pixel enhancement coefficients of the pixel point as a pixel enhancement coefficient corresponding to the pixel point, or taking an average value of the multiple pixel enhancement coefficients of the pixel point in a light effect model established by a brightening central point of a region where the pixel point is located in an image to be processed as a pixel enhancement coefficient corresponding to the pixel point, or taking a maximum pixel enhancement coefficient of the multiple pixel enhancement coefficients of the pixel point as a pixel enhancement coefficient corresponding to the pixel point, wherein the weighting modes of the pixel enhancement coefficients can be various, and are not limited herein.
It should be understood that although the various steps in the flowcharts of fig. 2-5, 7 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 2-5, 7 may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed in turn or alternately with other steps or at least some of the sub-steps or stages of other steps.
Fig. 8 is a block diagram showing the configuration of an image processing apparatus according to an embodiment. As shown in fig. 8, the apparatus includes an obtaining module 820, a model building module 840, and a processing module 860, wherein:
an obtaining module 820 is configured to obtain at least two highlighted central points in the image to be processed.
And the model establishing model 840 is used for establishing a light effect model according to the brightening central point, and the light effect model is a model for simulating the change of the light intensity.
And the processing module 860 is configured to perform processing for adding a light effect to the image to be processed according to the light effect model.
In one embodiment, the processing module 860 may be further configured to obtain a target area of the image to be processed, where the target area is an area of the object to be photographed; and processing a first light effect on the brightening central point of the target area, and processing a second light effect on the brightening central point outside the target area, wherein the brightness enhancement coefficient of the second light effect is lower than that of the first light effect.
In an embodiment, the processing module 860 may be further configured to determine a face region of the image to be processed, perform a first light effect on the brightening center point in the face region, obtain a portrait region corresponding to the face region in the image to be processed, and perform a second light effect on the brightening center point in the portrait region, where a brightness enhancement coefficient of the second light effect is lower than a brightness enhancement coefficient of the first light effect.
In an embodiment, the model establishing module 840 may further be configured to determine a brightness enhancement coefficient in the light effect model according to the brightness information of the image to be processed, where the brightness enhancement coefficient is used to adjust the intensity of the light intensity change in the light effect model.
In an embodiment, the model establishing module 840 may further be configured to obtain a two-dimensional gaussian distribution function, determine a distribution amplitude according to the brightness enhancement coefficient, use the lifted center point as a maximum point of the two-dimensional gaussian distribution function, and establish the light effect model according to the maximum point and the distribution amplitude.
In an embodiment, the processing module 860 may be further configured to obtain a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model, and perform processing of adding a light effect to the pixel point according to the pixel enhancement coefficient corresponding to the pixel point.
In an embodiment, the processing module 860 may be further configured to, when the pixel point has a plurality of pixel enhancement coefficients, weight the plurality of pixel enhancement coefficients of the pixel point to obtain a pixel enhancement coefficient corresponding to the pixel point, and process the pixel point according to the pixel enhancement coefficient corresponding to the pixel point.
The division of the modules in the image processing apparatus is only for illustration, and in other embodiments, the image processing apparatus may be divided into different modules as needed to complete all or part of the functions of the image processing apparatus.
For specific limitations of the image processing apparatus, reference may be made to the above limitations of the image processing method, which are not described herein again. The respective modules in the image processing apparatus described above may be wholly or partially implemented by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
The implementation of each module in the image processing apparatus provided in the embodiment of the present application may be in the form of a computer program. The computer program may be run on a terminal or a server. The program modules constituted by the computer program may be stored on the memory of the terminal or the server. Which when executed by a processor, performs the steps of the method described in the embodiments of the present application.
The embodiment of the application also provides a computer readable storage medium. One or more non-transitory computer-readable storage media containing computer-executable instructions that, when executed by one or more processors, cause the processors to perform the steps of the image processing method.
A computer program product comprising instructions which, when run on a computer, cause the computer to perform an image processing method.
The embodiment of the application also provides the electronic equipment. The electronic device includes therein an Image Processing circuit, which may be implemented using hardware and/or software components, and may include various Processing units defining an ISP (Image Signal Processing) pipeline. FIG. 9 is a schematic diagram of an image processing circuit in one embodiment. As shown in fig. 9, for convenience of explanation, only aspects of the image processing technique related to the embodiments of the present application are shown.
As shown in fig. 9, the image processing circuit includes an ISP processor 940 and a control logic 950. The image data captured by the imaging device 910 is first processed by the ISP processor 940, and the ISP processor 940 analyzes the image data to capture image statistics that may be used to determine and/or control one or more parameters of the imaging device 910. The imaging device 910 may include a camera having one or more lenses 912 and an image sensor 914. Image sensor 914 may include an array of color filters (e.g., Bayer filters), and image sensor 914 may acquire light intensity and wavelength information captured with each imaging pixel of image sensor 914 and provide a set of raw image data that may be processed by ISP processor 940. The sensor 920 (e.g., a gyroscope) may provide parameters of the acquired image processing (e.g., anti-shake parameters) to the ISP processor 940 based on the type of interface of the sensor 920. The sensor 920 interface may utilize an SMIA (Standard Mobile Imaging Architecture) interface, other serial or parallel camera interfaces, or a combination of the above.
In addition, image sensor 914 may also send raw image data to sensor 920, sensor 920 may provide raw image data to ISP processor 940 based on the type of interface of sensor 920, or sensor 920 may store raw image data in image memory 930.
The ISP processor 940 processes the raw image data pixel by pixel in a variety of formats. For example, each image pixel may have a bit depth of 8, 10, 12, or 14 bits, and the ISP processor 940 may perform one or more image processing operations on the raw image data, collecting statistical information about the image data. Wherein the image processing operations may be performed with the same or different bit depth precision.
Upon receiving raw image data from image sensor 914 interface or from sensor 920 interface or from image memory 930, ISP processor 940 may perform one or more image processing operations, such as temporal filtering. The processed image data may be sent to image memory 930 for additional processing before being displayed. ISP processor 940 receives processed data from image memory 930 and performs image data processing on the processed data in the raw domain and in the RGB and YCbCr color spaces. The image data processed by ISP processor 940 may be output to display 970 for viewing by a user and/or further processed by a Graphics Processing Unit (GPU). Further, the output of ISP processor 940 may also be sent to image memory 930 and display 970 may read image data from image memory 930. In one embodiment, image memory 930 may be configured to implement one or more frame buffers. In addition, the output of the ISP processor 940 may be transmitted to an encoder/decoder 960 for encoding/decoding the image data. The encoded image data may be saved and decompressed before being displayed on a display 970 device. The encoder/decoder 960 may be implemented by a CPU or GPU or coprocessor.
The statistical data determined by the ISP processor 940 may be transmitted to the control logic 950 unit. For example, the statistical data may include image sensor 914 statistics such as auto-exposure, auto-white balance, auto-focus, flicker detection, black level compensation, lens 912 shading correction, and the like. The control logic 950 may include a processor and/or microcontroller that executes one or more routines (e.g., firmware) that may determine control parameters of the imaging device 910 and control parameters of the ISP processor 940 based on the received statistical data. For example, the control parameters of imaging device 910 may include sensor 920 control parameters (e.g., gain, integration time for exposure control, anti-shake parameters, etc.), camera flash control parameters, lens 912 control parameters (e.g., focal length for focusing or zooming), or a combination of these parameters. The ISP control parameters may include gain levels and color correction matrices for automatic white balance and color adjustment (e.g., during RGB processing), as well as lens 912 shading correction parameters.
The image processing method described above can be implemented in this embodiment using the image processing technique of fig. 9.
Any reference to memory, storage, database, or other medium used herein may include non-volatile and/or volatile memory. Suitable non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM), which acts as external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), Enhanced SDRAM (ESDRAM), synchronous Link (Synchlink) DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and bus dynamic RAM (RDRAM).
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (12)
1. An image processing method, comprising:
acquiring at least two brightening central points in an image to be processed; the brightening central point is a pixel point corresponding to the light source center;
establishing a light effect model according to the brightening central point, wherein the light effect model is a model which takes the brightening central point as a light source so as to simulate the light intensity change of the position of each pixel point;
processing the light adding effect on the image to be processed according to the light effect model;
the method further comprises the following steps: acquiring a target area of an image to be processed, wherein the target area is an area of a shot object; the at least two brightening central points comprise a brightening central point in the target area and a brightening central point outside the target area;
processing a first light effect on the brightening central point in the target area;
processing a second light effect on the brightening central point outside the target area, wherein the brightness enhancement coefficient of the second light effect is lower than that of the first light effect;
the method further comprises the following steps:
and determining a brightness enhancement coefficient in a light effect model according to the brightness information of the image to be processed, wherein the brightness enhancement coefficient is used for adjusting the intensity of light intensity change in the light effect model.
2. The method of claim 1, further comprising:
determining a face region of the image to be processed;
processing a first light effect on the brightening central point in the face area;
acquiring a portrait area corresponding to the face area in the image to be processed;
and processing a second light effect on the brightening central point in the portrait area, wherein the brightness enhancement coefficient of the second light effect is lower than that of the first light effect.
3. The method of claim 1, wherein said modeling light effects from said brightened center points comprises:
acquiring a two-dimensional Gaussian distribution function;
determining distribution amplitude according to the brightness enhancement coefficient;
and taking the brightening central point as a maximum value point of a two-dimensional Gaussian distribution function, and constructing a light effect model according to the maximum value point and the distribution amplitude.
4. The method according to any one of claims 1 to 3, further comprising:
acquiring a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model;
and carrying out light adding effect processing on the pixel points according to the pixel enhancement coefficients corresponding to the pixel points.
5. The method of claim 4, further comprising:
when the pixel point has a plurality of pixel enhancement coefficients, weighting the plurality of pixel enhancement coefficients of the pixel point to obtain the pixel enhancement coefficients corresponding to the pixel point, and processing the pixel point according to the pixel enhancement coefficients corresponding to the pixel point.
6. An image processing apparatus characterized by comprising:
the acquisition module is used for acquiring at least two brightening central points in the image to be processed; the brightening central point is a pixel point corresponding to the light source center;
the model establishing module is used for establishing a light effect model according to the brightening central point, and the light effect model is a model which takes the brightening central point as a light source so as to simulate the light intensity change of the position of each pixel point;
the processing module is used for processing the light adding effect of the image to be processed according to the light effect model;
the processing module is further used for acquiring a target area of the image to be processed, wherein the target area is an area of a shot object; the at least two brightening central points comprise a brightening central point in the target area and a brightening central point outside the target area;
processing a first light effect on the brightening central point in the target area; processing a second light effect on the brightening central point outside the target area, wherein the brightness enhancement coefficient of the second light effect is lower than that of the first light effect;
the model establishing module is further used for determining a brightness enhancement coefficient in the light effect model according to the brightness information of the image to be processed, and the brightness enhancement coefficient is used for adjusting the intensity of light intensity change in the light effect model.
7. The apparatus of claim 6,
the processing module is further used for determining a face area of the image to be processed; processing a first light effect on the brightening central point in the face area; acquiring a portrait area corresponding to the face area in the image to be processed; and processing a second light effect on the brightening central point in the portrait area, wherein the brightness enhancement coefficient of the second light effect is lower than that of the first light effect.
8. The apparatus of claim 6,
the model establishing module is also used for acquiring a two-dimensional Gaussian distribution function; determining distribution amplitude according to the brightness enhancement coefficient; and taking the brightening central point as a maximum value point of a two-dimensional Gaussian distribution function, and constructing a light effect model according to the maximum value point and the distribution amplitude.
9. The apparatus according to any one of claims 6 to 8,
the processing module is further used for obtaining a pixel enhancement coefficient corresponding to each pixel point in the image to be processed according to the light effect model; and carrying out light adding effect processing on the pixel points according to the pixel enhancement coefficients corresponding to the pixel points.
10. The apparatus of claim 9,
the processing module is further configured to, when the pixel point has a plurality of pixel enhancement coefficients, weight the plurality of pixel enhancement coefficients of the pixel point to obtain a pixel enhancement coefficient corresponding to the pixel point, and process the pixel point according to the pixel enhancement coefficient corresponding to the pixel point.
11. An electronic device comprising a memory and a processor, the memory having stored therein a computer program that, when executed by the processor, causes the processor to perform the steps of the image processing method according to any one of claims 1 to 5.
12. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 5.
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| CN109167935A (en) * | 2018-10-15 | 2019-01-08 | Oppo广东移动通信有限公司 | Method for processing video frequency and device, electronic equipment, computer readable storage medium |
| CN109461186A (en) * | 2018-10-15 | 2019-03-12 | Oppo广东移动通信有限公司 | Image processing method, device, computer readable storage medium and electronic equipment |
| CN112417930B (en) * | 2019-08-23 | 2023-10-13 | 深圳市优必选科技股份有限公司 | Image processing method and robot |
| CN112153303B (en) * | 2020-09-28 | 2021-09-21 | 广州虎牙科技有限公司 | Visual data processing method and device, image processing equipment and storage medium |
| CN112969088A (en) * | 2021-02-01 | 2021-06-15 | 维沃移动通信有限公司 | Screen projection control method and device, electronic equipment and readable storage medium |
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