WO2023174137A1

WO2023174137A1 - Image processing method and apparatus, and computer device and storage medium

Info

Publication number: WO2023174137A1
Application number: PCT/CN2023/080379
Authority: WO
Inventors: 罗汉铭
Original assignee: 北京字跳网络技术有限公司
Priority date: 2022-03-17
Filing date: 2023-03-09
Publication date: 2023-09-21
Also published as: CN114626978A

Abstract

An image processing method and apparatus, and a computer device and a storage medium. The method comprises: acquiring an image to be processed, and determining a central position of said image and a pixel point in a target area of said image, wherein the target area is an area where a radial blur effect is to be generated, and the central position is a generation center of the radial blur effect in said image (S301); determining a radial direction vector of the pixel point relative to the central position, and determining an offset distance of the pixel point on the basis of the radial direction vector, wherein offset distances of pixel points in different radial directions are different (S303); and performing blurring processing on the pixel point on the basis of the offset distance, so as to obtain a blurred image of said image (S305).

Description

An image processing method, device, computer equipment and storage medium

This disclosure requires the priority of the Chinese patent application submitted to the State Intellectual Property Office of China on March 17, 2022, with the application number 202210264780.5 and the invention title "an image processing method, device, computer equipment and storage medium", all of which The contents are incorporated by reference into this disclosure.

Technical field

The present disclosure relates to the technical field of image processing, and specifically, to an image processing method, device, computer equipment, and storage medium.

Background technique

Radial blur technology simulates the radial effect produced when shooting objects when the camera moves back and forth or when the camera rotates. For example, after performing radial blur processing on the original image as shown in Figure 1(a), a radial blurred image as shown in Figure 1(b) can be obtained.

As shown in Figure 1(b), after the image is radially blurred through the existing radial blur technology, the radially blurred image contains obvious ghosting. However, when the camera moves forward or backward or rotates to capture an object, the ghosting effect in the captured image is not obvious. Therefore, the ghost images appearing in the radial blur image will affect the simulation effect of the radial blur technology for the radial effect.

Contents of the invention

Embodiments of the present disclosure provide at least an image processing method, device, computer equipment, and storage medium.

In a first aspect, an embodiment of the present disclosure provides an image processing method, including: acquiring an image to be processed, and determining the center position of the image to be processed and the pixels in a target area of the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is the generation center of the radial blur effect in the image to be processed; determine the radial direction vector of the pixel point relative to the center position, and based on the The radial direction vector determines the offset distance of the pixel point; the offset distance of the pixel point in different radial directions is different; the pixel point is blurred based on the offset distance to obtain the image to be processed blurred image.

In an optional implementation, determining the radial direction vector of the pixel point relative to the center position includes: determining the pixel coordinates of the center position in the image to be processed, and obtaining the first pixel coordinates, and determine the pixel coordinates of the pixel point in the image to be processed to obtain the second pixel coordinates; determine the radial direction vector based on the first pixel coordinates and the second pixel coordinates.

In an optional implementation, determining the offset distance of the pixel point based on the radial direction vector includes: determining target pixels in the pixel point with the same radial direction based on the radial direction vector. point; the radial direction is the direction of the radial direction vector; generate the same random value for the target pixel point through a preset random function; use the same random value as the offset of the target pixel point distance.

In an optional implementation, the radial direction vector includes a vector component in the transverse axis direction and a vector component in the longitudinal axis direction; the offset distance includes: an offset component of the vector component in the transverse axis direction. and the offset component of the vector component in the longitudinal axis direction.

In an optional implementation, blurring the pixels based on the offset distance to obtain a blurred image of the image to be processed includes: obtaining a target blur preset for the pixels. distance; superimpose the target blur distance and the offset distance of the pixel point according to the preset superposition method to obtain the target offset distance; based on the target offset distance, blur the corresponding pixel point to obtain the target offset distance. Describe the blurred image of the image to be processed.

In an optional implementation, superposing the target blur distance and the offset distance of the pixel points according to a preset superposition method to obtain the target offset distance includes: according to a preset calculation method, The target blur distance and the offset distance of each pixel point are calculated to obtain the target offset distance, wherein the preset calculation method includes any of the following: multiplication and addition.

In an optional implementation, the method further includes: determining a target difference result in which the offset distance is within a preset difference range; and adding the target blur distance and the target blur distance in a preset superposition manner. Superposing the offset distances of the pixel points to obtain the target offset distance includes: superimposing the target blur distance and the target difference result according to the preset superposition method to obtain the target offset distance.

In an optional implementation, determining the radial direction vector of the pixel point relative to the center position includes: determining the effect type of the radial blur effect, and based on the effect type in the Determine a target object in the image to be processed; determine the center position based on the target object, and determine the radial direction vector of the pixel point based on the center position.

In an optional implementation, the method further includes: when the effect type is a first type, obtaining a first blur parameter; wherein the first type is used to indicate the blur parameter of the image to be processed. The effect type is a volumetric light and shadow effect; the first blur parameter includes a brightness parameter and/or a color parameter; and the blur processing of the pixel point based on the offset distance is performed to obtain a blurred image of the image to be processed, including : Perform blur processing on the pixel points based on the first blur parameter and the offset distance to obtain a blurred image of the image to be processed.

In an optional implementation, the method further includes: when the effect type is a second type, obtaining a second blur parameter; wherein the second type is used to indicate the blur parameter of the image to be processed. The effect type is an image speed line adding effect. The second blur parameter is used to indicate the adding density of the image speed line and/or the adding direction of the image speed line. The image speed line is used to display the target object in the image to be processed. Movement effect; the blurring of the pixels based on the offset distance to obtain a blurred image of the image to be processed includes: blurring the pixels based on the second blur parameter and the offset distance. Perform blur processing to obtain a blurred image of the image to be processed.

In a second aspect, an embodiment of the present disclosure provides an image processing device, including: an acquisition unit, used to acquire an image to be processed; a first determination unit, used to determine the center position of the image to be processed and the image to be processed. Pixel points in the target area; the target area is the area where the radial blur effect is to be generated; the center position is the generation center of the radial blur effect in the image to be processed; a second determination unit is used to determine the The radial direction vector of the pixel point relative to the center position, and the offset distance of the pixel point is determined based on the radial direction vector; the offset distances of pixel points in different radial directions are different; the blur processing unit , used to blur the pixel points based on the offset distance to obtain a blurred image of the image to be processed.

In a third aspect, embodiments of the present disclosure also provide a computer device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processing communicates with the memory through a bus, the machine When the readable instructions are executed by the processor, the steps in the above-mentioned first aspect, or any possible implementation manner of the first aspect, are performed.

In a fourth aspect, embodiments of the present disclosure also provide a computer-readable storage medium. A computer program is stored on the computer-readable storage medium. When the computer program is run by a processor, the computer program executes the above-mentioned first aspect, or any of the first aspects. steps in a possible implementation.

In a fifth aspect, embodiments of the present disclosure also provide a computer program product. When the computer program product is run on a computer, the computer implements the above-mentioned first aspect, or any possible implementation manner of the first aspect. steps in.

In the embodiment of the present disclosure, after acquiring the image to be processed, the pixels in the target area in the image to be processed can be determined. Then, determine the center position of the image to be processed and the radial direction vector of the pixel point relative to the center position, and generate a corresponding offset distance for the pixel point based on the radial direction vector. Since the technical solution of the present disclosure is to generate different offset distances for pixels corresponding to different radial direction vectors, it can be achieved that pixels corresponding to the same abscissa have different offset distances in the horizontal axis direction, and the pixels corresponding to the same vertical coordinate can have different offset distances. The pixel points of the coordinates have different offset distances in the vertical axis direction. This effectively eliminates ghost images in blurred images to improve the blur effect of radial blur.

In order to make the above objects, features and advantages of the present disclosure more obvious and understandable, possible embodiments are listed below and described in detail with reference to the attached drawings.

Description of the drawings

In order to explain the technical solutions of the embodiments of the present disclosure more clearly, the drawings required to be used in the embodiments will be briefly introduced below. The drawings here are incorporated into the specification and constitute a part of this specification. These drawings are The drawings illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the technical solutions of the present disclosure. It should be understood that the following drawings only illustrate certain embodiments of the present disclosure, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, without exerting creative efforts, they can also Other relevant drawings are obtained based on these drawings.

Figure 1(a) shows a schematic diagram of an original image to be processed;

Figure 1(b) shows a schematic diagram of the effect of radial blur processing on the original image shown in Figure 1(a) through existing radial blur technology;

Figure 2 shows another schematic diagram of the effect of existing radial blur technology;

Figure 3 shows a flow chart of an image processing method provided by an embodiment of the present disclosure;

Figure 4 shows a schematic diagram of the technical principle of an existing radial blur technology;

Figure 5 shows a flowchart of a specific method for determining the radial direction + directional vector of each pixel in the image to be processed based on the center position in the image processing method provided by the embodiment of the present disclosure;

Figure 6 shows a schematic diagram of the technical principles of an image processing method provided by an embodiment of the present disclosure;

Figure 7 shows a sampling effect diagram after cyclic sampling processing of the radial blur image processed by the image processing method provided by the embodiment of the present disclosure through different sampling times;

Figure 8 shows a schematic diagram of an image processing device provided by an embodiment of the present disclosure;

FIG. 9 shows a schematic diagram of a computer device provided by an embodiment of the present disclosure.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present disclosure clearer, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are some embodiments of the present disclosure, but not all embodiments. The components of the embodiments of the present disclosure generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of the disclosure provided in the appended drawings is not intended to limit the scope of the claimed disclosure, but rather to represent selected embodiments of the disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without any creative efforts shall fall within the scope of protection of the present disclosure.

It should be noted that similar reference numerals and letters represent similar items in the following figures, therefore, once an item is defined in one figure, it does not need further definition and explanation in subsequent figures.

The term "and/or" in this article only describes an association relationship, indicating that three relationships can exist. For example, A and/or B can mean: A alone exists, A and B exist simultaneously, and B alone exists. situation. In addition, the term "at least one" herein refers to any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, and C, which can mean including from A, Any one or more elements selected from the set composed of B and C.

After research, it was found that radial blur technology simulates the radial effect produced when shooting objects when the camera moves back and forth or when the camera rotates. For example, after performing radial blur processing on the original image as shown in Figure 1(a), a radial blurred image as shown in Figure 1(b) can be obtained.

In order to solve the ghosting problem described above, the radial blur processing process can be repeated multiple times on the image. By repeating the radial blur processing multiple times, the ghosting can be diluted. However, as shown in Figure 2, there are still obvious ghosts in the radial blur image, and repeating the radial blur process multiple times will consume a lot of computing resources.

For each radial blur process in repeated multiple radial blur processes, the blur offset process is usually performed on each pixel in the image using the same offset component. At this time, the offset distance of pixel points corresponding to the same abscissa in the horizontal axis direction will remain consistent, and the offset distance of pixel points corresponding to the same ordinate coordinate in the vertical axis direction will remain consistent, so that the radial A very regular ghosting phenomenon is formed in the blurred image.

In addition, ghosting can be reduced through downsampling and upsampling, combined with multiple radial blurs. By downsampling and upsampling the image, the number of pixels in the image that need to be radially blurred can be reduced to achieve the effect of diluting ghosting. However, this method still consumes a lot of computing resources, and the ghosting problem is still obvious.

Based on the above research, embodiments of the present disclosure provide an image processing method, device, computer equipment, and storage medium. In the embodiment of the present disclosure, after acquiring the image to be processed, the pixel points in the target area in the image to be processed can be determined, and then the radial direction vector corresponding to the center position of the pixel point is determined, and based on the radial direction vector Generate corresponding offset distances for pixels. Since the technical solution of the present disclosure is to generate different offset distances for pixels corresponding to different radial direction vectors, it can be achieved that pixels corresponding to the same abscissa have different offset distances in the horizontal axis direction, and the pixels corresponding to the same vertical coordinate can have different offset distances. The pixel points of the coordinates have different offset distances in the vertical axis direction. This effectively eliminates ghost images in blurred images to improve the blur effect of radial blur.

In order to facilitate understanding of this embodiment, first, an image processing method disclosed in the embodiment of the present disclosure is The method will be introduced in detail. The execution subject of the image processing method provided by the embodiment of the present disclosure is generally a computer device with certain computing capabilities.

Referring to Figure 3, a flow chart of an image processing method provided by an embodiment of the present disclosure is shown. The method includes steps S301 to S305, wherein:

S301: Obtain the image to be processed, and determine the center position of the image to be processed and the pixels in the target area in the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is The center of generation of the radial blur effect in the image to be processed.

In the embodiment of the present disclosure, the generation center of the radial blur effect in the image to be processed is first determined, that is, the center position; then, the pixel points in the target area in the image to be processed are determined.

Here, the generation center (ie, the center position) of the radial blur effect in the image to be processed can be understood as a pixel in the image to be processed.

In an optional implementation, the center position may be a pixel manually marked by the user in advance in the image to be processed.

During specific implementation, the center position may be determined in response to an annotation operation for the image to be processed and based on an annotation position corresponding to the annotation operation.

In another optional implementation, it can also be pixels automatically selected in the image to be processed according to preset selection rules. For example, the above-mentioned center position is determined based on the effect type of the radial blur effect corresponding to the image to be processed.

During specific implementation, a matching target object can be determined in the image to be processed based on the effect type, and then the above-mentioned center position can be determined based on the position of the target object.

If it is detected that a matching target object is included in the image to be processed, the center position of the matching target object is determined as the center position. If the number of matching target objects is detected to be multiple, the target object may be specified among the multiple matching target objects, and the center position of the specified target object may be determined as the above-mentioned center position.

In yet another optional implementation, the image center position of the image to be processed can also be determined as the center position.

In the embodiment of the present disclosure, the target area may be the entire image area in the image to be processed, or may be a partial image area in the image to be processed.

During specific implementation, the target area can be determined in the image to be processed based on the following parameters: effect type, Parameters such as area information (for example, area size and area position), the position (or center position) of the target object in the image to be processed, etc. preset by the user.

For example, if the effect type is a volumetric light and shadow effect, then the target object in the image to be processed is the light source. At this time, the target area is determined in the image to be processed based on the position of the light source and the area size preset by the user.

S303: Determine the radial direction vector of the pixel point relative to the center position, and determine the offset distance of the pixel point based on the radial direction vector; wherein, the offset distance of the pixel point in different radial directions different.

S305: Perform blur processing on each pixel point based on the offset distance to obtain a blurred image of the image to be processed.

In embodiments of the present disclosure, the radial direction vector includes: a direction and a module of the vector. Here, the direction in the radial direction vector is the direction in which the central position points to the corresponding pixel point (that is, the radial direction), and the modulus in the radial direction vector is the distance between the central position and the corresponding pixel point.

Here, different offset distances are set for pixels corresponding to different radial directions, which will be introduced below in conjunction with Figure 1(a) and Figure 4. Assume that for any original image to be processed, as shown in Figure 1(a), it is the radial blur image obtained after blurring the original image using the existing radial blur technology. From Figure 1(a) It can be seen that there is an obvious ghosting problem in the radial blurred image.

As shown in Figure 4, assume that the coordinates of the center position in Figure 1(a) are expressed as: float2(0.5, 0.5), where float2 represents 2 floating point numbers, and float2(0.5, 0.5) represents the coordinates of the center position. contains 2 floating point numbers, 0.5 and 0.5 respectively. After the center position is determined, a rectangular coordinate system can be constructed using the center position as the coordinate origin, in which the horizontal axis of the rectangular coordinate system is marked as the U axis, and the vertical axis of the rectangular coordinate system is marked as the V axis.

In the above original image to be processed, a pixel point P0 (U0, V0), P1 (U1, V1), P2 (U2, V2) can be randomly selected. The positions between P0, P1 and P2 can be as shown in Figure 4 Show. For each pixel, an offset d is set. At this time, the offset distance of each pixel in the U-axis direction and the V-axis direction can be described as:

d*float2(U0V0-0.5), d*float2(U1V1-0.5), d*float2(U2V2-0.5).

Here, d*float2(U0V0-0.5) can be described by the formula as d*(U ₀ -0.5,V ₀ -0.5); d* float2(U1V1-0.5) can be described by the formula as d*(U ₁ -0.5,V ₁ -0.5); d*float2(U2V2-0.5) can be described by the formula as d*(U ₂ -0.5,V ₂ -0.5 ).

If the abscissas of pixels P0, P1 and P2 are the same, then the offset distances of pixels P0, P1 and P2 in the U direction remain the same. If the ordinates of pixels P0, P1 and P2 are the same, then the offset distances of pixels P0, P1 and P2 are the same. The offset distance of P1 and P2 in the V direction remains the same. At this time, the radially blurred image will produce relatively regular ghost images as shown in Figure 1(a).

Based on this, in the embodiment of the present disclosure, different offset distances are determined for pixel points corresponding to different radial directions. For example, for the pixel points P0, P1 and P2, since the radial directions corresponding to the pixel points P0, P1 and P2 are different, different offset distances can be determined for the pixel points P0, P1 and P2 respectively. Based on the offset, When the pixel points P0, P1 and P2 are offset by distance, even if the abscissas of the pixel points P0, P1 and P2 are the same, the offset distances of the pixel points P0, P1 and P2 in the U direction will not be the same. Similarly, even if the ordinates of the pixel points P0, P1 and P2 are the same, the offset distances of the pixel points P0, P1 and P2 in the V direction will not be the same, thus effectively eliminating all the problems in the existing radial blur image. The ghosting phenomenon occurs.

In the embodiment of the present disclosure, after acquiring the image to be processed, the pixel points in the target area in the image to be processed can be determined, and then the radial direction vector of the pixel point relative to the center position is determined, and based on the radial direction vector Generate corresponding offset distance for each pixel. Since the technical solution of the present disclosure is to generate different offset distances for pixels corresponding to different radial direction vectors, it can be achieved that pixels corresponding to the same abscissa have different offset distances in the horizontal axis direction, and the pixels corresponding to the same vertical coordinate can have different offset distances. The pixel points of the coordinates have different offset distances in the vertical axis direction, thereby effectively eliminating ghosts in the blurred image and improving the blur effect of radial blur.

In an optional implementation, as shown in Figure 5, the above-mentioned step S303: determining the radial direction vector of the pixel point relative to the center position specifically includes the following steps:

Step S501: Determine the pixel coordinates of the center position in the image to be processed to obtain the first pixel coordinates, and determine the pixel coordinates of the pixel point in the image to be processed to obtain the second pixel coordinates;

Step S502: Determine the radial direction vector based on the first pixel coordinate and the second pixel coordinate.

In the embodiment of the present disclosure, after the central position is determined, it can be determined that the central position is to be Process the pixel coordinates in the image to obtain the first pixel coordinates. For example, the first pixel coordinates can be recorded as (U1, V1). Then, determine the pixel coordinates of each pixel point in the image to be processed, thereby obtaining the second pixel coordinates. Pixel coordinates, for example, the second pixel coordinates can be recorded as (U2, V2).

After that, the first pixel coordinates and the second pixel coordinates can be calculated to determine the radial direction vector. At this time, assuming that the first pixel coordinate is expressed as A(U1, V1) and the second pixel coordinate is expressed as B(U2, V2), then the vector AB can be determined as the above-mentioned radial direction vector.

At this time, the above-mentioned radial direction vector (that is, vector AB) can be expressed as: float2(U2-U1, V2-V1).

If the first pixel coordinate is (0.5, 0.5) and the second pixel coordinate is (U, V), then the above radial direction vector can also be expressed as: float2dir=float2(UV-0.5), where, float2(UV-0.5 ) can also be expressed as: (U-0.5, V-0.5).

In the above embodiment, by determining the radial direction vector of each pixel based on the pixel coordinates of the center position and the pixel coordinates of each pixel, the amount of data processing can be simplified, and the computing resources of the computer device can be saved. Improve image processing efficiency.

In an optional implementation, the above-mentioned step S303: determining the offset distance of the pixel point based on the radial direction vector specifically includes the following steps:

Step S11: Unitize the radial direction vector;

Step S12: Determine the offset distance of each pixel point according to the radial direction vector of the unitization process.

In an embodiment of the present disclosure, the radial direction vector can be normalized based on a normalization function, where the normalization function can be normalize.

The normalization process of the radial direction vector can be described as: float2dirNormal=normalize(dir), where dir is the above-mentioned radial direction vector, and float2dirNormal is the radial direction vector of the normalization process.

Assume that the radial direction vector is float2(U2-U1, V2-V1), then the unitization process of the radial direction vector can be described as the following process:

Let U2-U1=U, and let V2-V1=Y. Then, through the formula Calculate the module of the radial direction vector; after that, calculate as well as Thus, the unitized radial direction vector is obtained

After unitizing the radial direction vector, we can use the unitized radial direction vector to Determine the offset distance of the corresponding pixel.

In the above embodiment, by unitizing the radial direction vector corresponding to each pixel point, and then determining the offset distance of the pixel point based on the radial direction vector after the unitization process, it can be ensured that the corresponding radial direction vector is the same. The continuity of pixels in the direction to improve the quality of radial blur processing.

Step S21: Determine target pixel points with the same radial direction among the pixel points based on the radial direction vector; the radial direction is the direction of the radial direction vector;

Step S22: Generate the same random value for the target pixel through a preset random function;

Step S23: Use the same random value as the offset distance of the target pixel point.

The inventor found that in order to solve the ghosting problem existing in the existing radial blur technology, an optional solution is to perform radial blur processing on the image through a dithering algorithm. The processing process can be described as:

An offset value is randomly generated for each pixel in the image, where the offset values corresponding to different pixels are different. At this time, the offset processing can be performed pixel by pixel, that is, the offset processing of each pixel is achieved by superimposing the offset value of each pixel. Through this processing method, the ghosting problem existing in the existing radial blur technology can be effectively alleviated to avoid the repetitive feeling in the left picture. However, this method can better avoid ghosting because the offset values are different pixel by pixel, but it also leads to the occurrence of a lot of noise because of the offset pixel by pixel. Therefore, it is necessary to cooperate with the TAA denoising algorithm to denoise the radial blurred image. However, the radial blur processing of images by combining the dithering algorithm and the TAA noise reduction algorithm consumes a large amount of computing resources and is not conducive to the stable operation of computer equipment.

Based on this, in the embodiment of the present disclosure, after the radial direction vector of each pixel point is determined in the above-described manner, the corresponding same radial direction vector can be determined among multiple pixel points based on the determined radial direction vector. For example, multiple groups of pixels can be determined, and each group of pixels corresponds to target pixels in the same radial direction.

After obtaining the above multiple groups of pixels, the same random value can be generated for each group of pixels through the preset random function random.

In this embodiment of the present disclosure, generating a random value can be implemented based on the following formula:

float2ditherDir=random(dirNormal).

Here, dirNormal represents the radial direction vector (or the radial direction vector of the above-mentioned unitization process). float2ditherDir represents a random value generated based on the radial direction vector.

After determining the random value, the random value can be determined as the offset distance of the target pixel point.

In the embodiment of the present disclosure, at least one numerical region can be determined first, and then the same random numerical value can be generated for each group of pixels within the numerical interval through a preset random function.

During specific implementation, the above-mentioned at least one numerical area can be determined based on the effect type, or the user can set at least one numerical area in advance. This disclosure does not specifically limit the setting method of the numerical area.

In the above embodiment, by generating different offset distances for pixels corresponding to different radial direction vectors, it is possible to achieve different offset distances in the horizontal axis direction for pixels corresponding to the same abscissa, and result in pixels corresponding to the same ordinate. The offset distances of pixels in the vertical axis direction are different, thereby effectively eliminating ghost images in blurred images and improving the blurring effect of radial blur.

It can be seen from the above description that the above-mentioned radial direction vector includes a vector component in the horizontal axis direction and a vector component in the longitudinal axis direction. For example, the radial direction vector (the above vector AB) float2(U2-U1, V2-V1), in this radial direction vector, contains the vector component "U2-U1" in the horizontal axis direction, and the vector containing the vertical axis direction Component "V2-V1".

Based on this, generating the same offset distance for the target pixel point through a preset random function includes: an offset component of the vector component in the horizontal axis direction and an offset component of the vector component in the vertical axis direction. Here, the random value can be determined as an offset component of the vector component in the horizontal axis direction and an offset component of the vector component in the vertical axis direction respectively.

In the embodiment of the present disclosure, after determining the offset distance of each pixel point in the manner described above, offset processing can be performed on each pixel point based on the offset distance. After the processing, the to-be-used pixel point is obtained. Process blurry images of images.

In an optional implementation, the above step S305: blurring the pixel points based on the offset distance to obtain a blurred image of the image to be processed, specifically includes the following steps:

Step S3051: Obtain the target blur distance set in advance for the pixel;

Step S3052: Superimpose the target blur distance and the offset distance of the pixel point according to a preset superposition method to obtain the target offset distance;

Step S3053: Based on the target offset distance, blur the corresponding pixel points to obtain to the blurred image of the image to be processed.

In the embodiment of the present disclosure, the same target blur distance can be set in advance for each pixel in the target area. The target blur distance here includes the blur distance component of the vector component in the horizontal axis direction and the vector in the vertical axis direction. The fuzzy distance component of the component. For example, the target blur distance may be the offset distance d*float2(U1-U0, V1-V0) in the above embodiment.

After the above-mentioned target blur distance is determined, the target blur distance and the offset distance can be superimposed according to the preset superposition method to obtain the target offset distance, and the corresponding pixel points can be offset according to the target offset distance. After the processing, a blurred image of the image to be processed is obtained. For example, a blurred image as shown in Figure 6 can be obtained.

After processing in the above manner, it is possible to realize that pixel points corresponding to the same abscissa have different offset distances in the horizontal axis direction, and pixel points corresponding to the same ordinate coordinate have different offset distances in the vertical axis direction, thus effectively Eliminate ghosting in blurred images to improve the blur effect of radial blur.

In an optional implementation, the above step: superimpose the target blur distance and the offset distance of the pixel point according to a preset superposition method to obtain the target offset distance, which specifically includes the following steps:

According to a preset calculation method, the target blur distance and the offset distance of each pixel point are calculated to obtain the target offset distance, wherein the preset calculation method includes any of the following: multiplication, addition.

In the embodiment of the present disclosure, the target blur distance and the offset distance of each pixel can be multiplied or added to obtain the target offset distance.

For example, assume that the blur distance of the above target is: d*float2(U1-U0, V1-V0), and the offset distance of each pixel above is float2ditherDir.

At this time, the target blur distance and the offset distance of each pixel can be calculated through the following formula:

ditherDir+d*float2(U1-U0, V1-V0);

ditherDir*d*float2(U1-U0,V1-V0).

Among them, (U1, V1) is the pixel coordinate of each pixel point, and (U0, V0) is the pixel coordinate of the center position.

In the embodiment of the present disclosure, the target blur distance and each of the Before the offset distances of pixels are superimposed, the offset distance of each pixel can also be difference processed through the difference function. The specific difference processing process can be described as follows:

Determine the target difference result where the offset distance is within a preset difference range.

The above difference processing process can be expressed by the following formula: lerp (1, 1.5, ditherDir).

Among them, lerp is the above-mentioned preset difference function. The conventional expression of lerp is: lerp (from, to, value). The preset difference function lerp can be understood as being within the preset difference range (from, to). Perform difference processing on the value value, where the value value is "ditherDir" and the preset difference range (from, to) is (1, 1.5).

After the target difference result is determined, the target blur distance and the offset distance of the pixel are superimposed according to the preset superposition method. When the target offset distance is obtained, the target blur distance can be superimposed according to the preset superposition method. The target blur distance and the target difference result are superimposed to obtain the target offset distance.

During specific implementation, the target fuzzy distance and target difference results can be multiplied, and the multiplication result is determined as the target offset distance. The specific calculation formula can be described as:

float2shift=dir*lerp(1, 1.5, ditherDir).

After obtaining the above target offset distance, each pixel point can be offset based on the target offset distance, and after the processing, a blurred image of the image to be processed is obtained.

As can be seen from the above description, in the embodiment of the present disclosure, the same offset distance is determined for pixel points corresponding to the same radial direction, and different offset distances are determined for pixel points corresponding to different radial directions. Not only can it effectively alleviate the ghosting problem of existing radial blur technology, it can also ensure the continuity of pixels in the same direction, and can also reduce noise reduction steps.

In the embodiment of the present disclosure, the offset distance in each radial direction can be set randomly. Therefore, when an appropriate offset distance is set, a good image quality can be generated with a very small number of radial blur samplings. The radial blur effect greatly improves the image processing performance and enhances the applicability of radial blur technology. For example, as shown in Figure 7, from left to right are the effects of radially cyclic sampling 10 times, 5 times and 3 times on the radial blur image, completely avoiding the sense of repetition.

In an optional implementation, the above-mentioned step S303 determines the radial direction vector of the pixel point relative to the center position, specifically including the following steps:

S31: Determine the effect type of the radial blur effect, and based on the effect type, perform Determine the target object in the processed image;

S32: Determine the center position based on the target object, and determine the radial direction vector of the pixel point based on the center position.

In the embodiment of the present disclosure, the effect type of the radial blur effect of the image to be processed may be a type preset by the user. For example, a user can enter an effect type through a computer device.

Here, the effect type of the radial blur effect can include any of the following: volumetric light and shadow effects, image speed line addition effects.

Radial blur effects for different effect types can correspond to different target objects in the image to be processed. For example, for volumetric light and shadow effects, the corresponding target object in the image to be processed can be a light source, such as the sun, a lamp, etc. To add effects to the image speed line, the corresponding target object in the image to be processed can be any object that needs to express a movement effect. Here, the image speed line can also be called a line. The image speed line is used to express the movement effect of the target object in the image to be processed, for example, movement trajectory and/or movement direction and other information.

After the effect type is determined, the target object can be determined based on the effect type, and the center position can be determined based on the target object. For example, the center point of the target object can be determined as the center position. Afterwards, the radial direction vector of the pixel point can be determined based on the center position. The specific determination process is as described in the above embodiment and will not be described in detail here.

In an optional implementation, when the effect type is a first type, the method can also obtain a first blur parameter; wherein the first type is used to indicate the effect type of the image to be processed. It is a volumetric light and shadow effect; the first blur parameter includes a brightness parameter and/or a color parameter.

In this case, performing blur processing on the pixels based on the offset distance in step S305 to obtain a blurred image of the image to be processed includes: based on the first blur parameter and the offset distance The pixel points are blurred to obtain a blurred image of the image to be processed.

In the embodiment of the present disclosure, the above-mentioned first type is used to indicate that the effect type of the image to be processed is a volumetric light and shadow effect. Under the volumetric light and shadow effect, the volumetric light and shadow effect can be reflected by combining the light and dark threshold (ie, brightness parameter) and color adjustment (ie, color parameter), as well as the image processing method provided by the embodiment of the present disclosure.

In the case where the effect type is the first type, the light source may be determined in the image to be processed. If multiple light sources (for example, multiple light bulbs) are determined, at this time, the location in the foreground area can be determined among the multiple light sources. The light source of the domain is the target object; or, the user can specify one or more light sources among multiple light sources as the above target object according to actual needs.

After determining the light source as the target object, the center point of the light source can be determined as the center position. Then, the radial direction vector of each pixel in the target area relative to the center position can be determined based on the center position. Then the corresponding offset distance is determined based on the radial direction vector.

Here, corresponding offset distances can be randomly generated in the numerical area for target pixels corresponding to the same radial direction.

After that, the pixel points can be blurred based on the first blur parameter and the offset distance to obtain a blurred image of the image to be processed.

During specific implementation, the pixel points can be blurred in the manner described in the above steps S3051 to S3053, thereby obtaining an initial blurred image. Afterwards, brightness adjustment and/or color adjustment can also be performed on the initial blurred image based on the first blur parameter, thereby obtaining a blurred image of the image to be processed.

In an optional implementation, when the effect type is a second type, the method can also obtain a second blur parameter; wherein the second type is used to indicate the effect type of the image to be processed. To add an effect to the image speed line, the second blur parameter is used to indicate the adding density and/or the adding direction of the image speed line, which is used to display the movement effect of the target object in the image to be processed.

In this case, performing blur processing on the pixels based on the offset distance in the above step S305 to obtain a blurred image of the image to be processed includes: based on the second blur parameter and the offset distance The pixel points are blurred to obtain a blurred image of the image to be processed.

In the embodiment of the present disclosure, the above-mentioned second type is used to indicate that the effect type of the image to be processed is the image speed line adding effect, which can also be called: cartoon style screen line (speed line) simulation effect. In the embodiments of the present disclosure, effects such as line arrangement (speed lines) in comic style can be simulated through open line density (directional random density) and the image processing method provided by the embodiments of the present disclosure.

When the effect type is the second type, the target object that needs to display the movement effect can be determined in the image to be processed. If multiple target objects are determined, the target object located in the foreground area can be determined among the multiple target objects; or, the user can specify one or more target objects among the multiple target objects according to actual needs.

After the target object is determined, the center point of the target object can be determined as the center position. After that, the target area can be determined in the image to be processed based on the second blur parameter, and the pixel points to be shifted can be determined in the target area. Here, the pixels to be shifted can be all the pixels in the target area, or some of the pixels. Next, a radial direction vector of the pixel point to be offset relative to the center position may be determined based on the central position, and then a corresponding offset distance may be determined based on the radial direction vector.

Here, corresponding offset distances can be generated in the numerical area for pixel points to be offset corresponding to the same radial direction. After that, the pixels to be offset can be offset based on the offset distance to obtain a blurred image of the image to be processed.

During specific implementation, the pixel points can be offset in the manner described in the above steps S3051 to S3053, thereby obtaining an initial blurred image.

Those skilled in the art can understand that in the above-mentioned methods of specific embodiments, the writing order of each step does not mean a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be based on its function and possible The internal logic is determined.

Based on the same inventive concept, the embodiments of the present disclosure also provide an image processing device corresponding to the image processing method. Since the principle of solving the problem of the device in the embodiment of the present disclosure is similar to the above-mentioned image processing method in the embodiment of the present disclosure, the implementation of the device Please refer to the implementation of the method, and the repeated parts will not be repeated.

Referring to Figure 8 , which is a schematic diagram of an image processing device provided by an embodiment of the present disclosure, the device includes: an acquisition unit 10, a first determination unit 20, a second determination unit 30, and an offset processing 40; wherein,

Acquisition unit 10, used to acquire images to be processed;

The first determination unit 20 is used to determine the center position of the image to be processed and the pixel points in the target area of the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is the Describes the generation center of the radial blur effect in the image to be processed;

The second determination unit 30 is used to determine the radial direction vector of the pixel point relative to the center position, and determine the offset distance of the pixel point based on the radial direction vector; pixel points in different radial directions The offset distance is different;

The blur processing unit 40 is configured to perform blur processing on the pixel points based on the offset distance to obtain a blurred image of the image to be processed.

In the embodiment of the present disclosure, after obtaining the image to be processed, the pixel points in the target area in the image to be processed can be determined, and then the radial direction vector of the pixel point relative to the center position is determined, and based on A corresponding offset distance is generated for each pixel based on the radial direction vector. Since the technical solution of the present disclosure is to generate different offset distances for pixels corresponding to different radial direction vectors, it can be achieved that pixels corresponding to the same abscissa have different offset distances in the horizontal axis direction, and the pixels corresponding to the same vertical coordinate can have different offset distances. The pixel points of the coordinates have different offset distances in the vertical axis direction, thereby effectively eliminating ghosts in the blurred image and improving the blur effect of radial blur.

In a possible implementation, the second determination unit is further configured to: determine the pixel coordinates of the center position in the image to be processed, obtain the first pixel coordinates, and determine the position of the pixel point in the image to be processed. The pixel coordinates in the image are used to obtain the second pixel coordinates; based on the first pixel coordinates and the second pixel coordinates, the radial direction vector is determined.

In a possible implementation, the second determination unit is further configured to: determine target pixel points in the pixel points with the same radial direction based on the radial direction vector; the radial direction is the radial direction The direction of the vector; generate the same random value for the target pixel point through a preset random function; use the same random value as the offset distance of the target pixel point.

In a possible implementation, the radial direction vector includes a vector component in the transverse axis direction and a vector component in the longitudinal axis direction; the offset distance includes: an offset component of the vector component in the transverse axis direction and The offset component of the vector component in the longitudinal axis direction.

In a possible implementation, the blur processing unit is further configured to: obtain a target blur distance preset for the pixel; and combine the target blur distance and the offset distance of the pixel according to a preset superposition method. Superposition is performed to obtain the target offset distance; based on the target offset distance, the corresponding pixel points are blurred to obtain a blurred image of the image to be processed.

In a possible implementation, the blur processing unit is further configured to: calculate the target blur distance and the offset distance of each pixel point according to a preset calculation method to obtain the target offset distance, Wherein, the preset calculation method includes any of the following: multiplication and addition.

In a possible implementation, the device is further configured to: determine a target difference result in which the offset distance is within a preset difference range; and the offset unit is further configured to: add all the offset values according to the preset superposition method. The target fuzzy distance and the target difference result are superimposed to obtain the target offset distance.

In a possible implementation, the first determination unit is further configured to: determine the effect type of the radial blur effect, and determine the target object in the image to be processed based on the effect type; based on the target object Determine the center position, and determine the radial direction of the pixel based on the center position to vector.

In a possible implementation, the device is further configured to: obtain a first blur parameter when the effect type is a first type; wherein the first type is used to indicate the effect of the image to be processed The type is volumetric light and shadow effect; the first blur parameter includes a brightness parameter and/or a color parameter; a blur processing unit, further configured to: blur the pixel based on the first blur parameter and the offset distance , obtain the blurred image of the image to be processed.

In a possible implementation, the device is further configured to: obtain a second blur parameter when the effect type is a second type; wherein the second type is used to indicate the effect of the image to be processed. The type is image speed line adding effect. The second blur parameter is used to indicate the adding density and/or the adding direction of the image speed line. The image speed line is used to display the movement of the target object in the image to be processed. Effect; a blur processing unit, further configured to: blur the pixel points based on the second blur parameter and the offset distance to obtain a blurred image of the image to be processed.

For a description of the processing flow of each module in the device and the interaction flow between the modules, please refer to the relevant descriptions in the above method embodiments, and will not be described in detail here.

Corresponding to the image processing method in Figure 1, an embodiment of the present disclosure also provides a computer device 900. As shown in Figure 9, which is a schematic structural diagram of the computer device 900 provided by an embodiment of the present disclosure, it includes:

Processor 91, memory 92, and bus 93; memory 92 is used to store execution instructions, including memory 921 and external memory 922; memory 921 here is also called internal memory, and is used to temporarily store operation data in the processor 91, and with The processor 91 exchanges data with the external memory 922 such as a hard disk through the memory 921 and the external memory 922. When the computer device 900 is running, the processor 91 and the memory 92 communicate through the bus 93, so that The processor 91 executes the following instructions:

Obtain the image to be processed, and determine the center position of the image to be processed and the pixels in the target area of the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is the area to be processed. Processing the generation center of the radial blur effect in the image; determining the radial direction vector of the pixel point relative to the center position, and determining the offset distance of the pixel point based on the radial direction vector; different radial directions The offset distances of the pixel points are different; the pixel points are blurred based on the offset distance to obtain a blurred image of the image to be processed.

In a possible implementation, the instructions of the processor 91 also include:

Determine the pixel coordinates of the center position in the image to be processed to obtain the first pixel coordinates, and determine the pixel coordinates of the pixel point in the image to be processed to obtain the second pixel coordinates;

The radial direction vector is determined based on the first pixel coordinate and the second pixel coordinate.

Target pixel points with the same radial direction among the pixel points are determined based on the radial direction vector; the radial direction is the direction of the radial direction vector;

Generate the same random value for the target pixel using a preset random function;

The same random value is used as the offset distance of the target pixel point.

The radial direction vector includes a vector component in the transverse axis direction and a vector component in the longitudinal axis direction; the offset distance includes: an offset component of the vector component in the transverse axis direction and a vector component in the longitudinal axis direction. offset component.

Obtain the target blur distance set in advance for the pixel;

Superimpose the target blur distance and the offset distance of the pixel point according to a preset superposition method to obtain the target offset distance;

Based on the target offset distance, the corresponding pixel points are blurred to obtain a blurred image of the image to be processed.

Determine the target difference result with the offset distance within a preset difference range;

The target blur distance and the target difference result are superimposed according to the preset superposition method to obtain the target offset distance.

Determine an effect type of the radial blur effect, and determine a target object in the image to be processed based on the effect type;

The center position is determined based on the target object, and the radial direction vector of the pixel point is determined based on the center position.

When the effect type is the first type, a first blur parameter is obtained; wherein the first type is used to indicate that the effect type of the image to be processed is a volumetric light and shadow effect; the first blur parameter includes brightness parameters and/or color parameters; perform blur processing on the pixel points based on the first blur parameter and the offset distance to obtain a blurred image of the image to be processed.

When the effect type is the second type, obtain a second blur parameter; wherein the second type is used to indicate that the effect type of the image to be processed is an image speed line adding effect, and the second blur parameter Used to indicate the added density of the image speed line and/or the added direction of the image speed line, which is used to display the movement effect of the target object in the image to be processed; based on the second blur parameter and the offset The distance is used to blur the pixel points to obtain a blurred image of the image to be processed.

Embodiments of the present disclosure also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is run by a processor, the steps of the image processing method described in the above method embodiment are executed. Wherein, the storage medium may be a volatile or non-volatile computer-readable storage medium.

Embodiments of the present disclosure also provide a computer program product. The computer program product carries program code. The instructions included in the program code can be used to execute the steps of the image processing method described in the above method embodiment. For details, please refer to the above method. The embodiments will not be described again here.

Among them, the above-mentioned computer program product can be specifically implemented by hardware, software or a combination thereof. In an optional embodiment, the computer program product is embodied as a computer storage medium. In another optional embodiment, the computer program product is embodied as a software product, such as a Software Development Kit (SDK), etc. wait.

Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be described again here. In the several embodiments provided in this disclosure, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are only illustrative For example, the division of units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be Ignore, or do not execute. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some communication interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical, mechanical or other forms.

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

In addition, each functional unit in various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.

If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a non-volatile computer-readable storage medium that is executable by a processor. Based on this understanding, the technical solution of the embodiments of the present disclosure is essentially or contributes to the existing technology or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present disclosure. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM), random access memory (Random Access Memory, RAM), magnetic disk or optical disk and other media that can store program code. .

Finally, it should be noted that the above-mentioned embodiments are only specific implementations of the present disclosure and are used to illustrate the technical solutions of the present disclosure rather than to limit them. The protection scope of the present disclosure is not limited thereto. Although refer to the foregoing The embodiments describe the present disclosure in detail. Those of ordinary skill in the art should understand that any person familiar with the technical field can still modify the technical solutions recorded in the foregoing embodiments within the technical scope disclosed in the present disclosure. Changes may be easily imagined, or equivalent substitutions may be made to some of the technical features; and these modifications, changes or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present disclosure, and shall be included in the present disclosure. within the scope of protection. Therefore, the protection scope of the present disclosure should be determined by the protection scope of the claims.

Claims

An image processing method including:

Obtain the image to be processed, and determine the center position of the image to be processed and the pixels in the target area of the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is the area to be processed. Processes the center of generation of radial blur effects in images;

Determine the radial direction vector of the pixel point relative to the center position, and determine the offset distance of the pixel point based on the radial direction vector; the offset distances of pixel points in different radial directions are different;

The pixel points are blurred based on the offset distance to obtain a blurred image of the image to be processed.
The method according to claim 1, wherein determining the radial direction vector of the pixel relative to the center position includes:

Determine the pixel coordinates of the center position in the image to be processed to obtain the first pixel coordinates, and determine the pixel coordinates of the pixel point in the image to be processed to obtain the second pixel coordinates;

The radial direction vector is determined based on the first pixel coordinate and the second pixel coordinate.
The method according to claim 1, wherein determining the offset distance of the pixel point based on the radial direction vector includes:

Target pixel points with the same radial direction among the pixel points are determined based on the radial direction vector; the radial direction is the direction of the radial direction vector;

Generate the same random value for the target pixel using a preset random function;

The same random value is used as the offset distance of the target pixel point.
The method according to claim 3, wherein the radial direction vector includes a vector component in the transverse axis direction and a vector component in the longitudinal axis direction; the offset distance includes: an offset of the vector component in the transverse axis direction. The shift component and the offset component of the vector component in the longitudinal axis direction.
The method according to claim 1, wherein the blurring of the pixels based on the offset distance to obtain the blurred image of the image to be processed includes:

Obtain the target blur distance set in advance for the pixel;

The target blur distance and the offset distance of the pixel are calculated according to a preset superposition method. Superimpose to get the target offset distance;

Based on the target offset distance, the corresponding pixel points are blurred to obtain a blurred image of the image to be processed.
The method according to claim 5, wherein the step of superimposing the target blur distance and the offset distance of the pixel point according to a preset superposition method to obtain the target offset distance includes:

According to a preset calculation method, the target blur distance and the offset distance of each pixel point are calculated to obtain the target offset distance, wherein the preset calculation method includes any of the following: multiplication, addition.
The method according to claim 5, wherein the method further comprises: determining a target difference result where the offset distance is within a preset difference range;

Superposing the target blur distance and the offset distance of the pixel point according to the preset superposition method to obtain the target offset distance includes: adding the target blur distance and the target offset distance according to the preset superposition method. The difference results are superimposed to obtain the target offset distance.
The method according to claim 1, wherein determining the radial direction vector of the pixel relative to the center position includes:

Determine an effect type of the radial blur effect, and determine a target object in the image to be processed based on the effect type;

The center position is determined based on the target object, and the radial direction vector of the pixel point is determined based on the center position.
The method of claim 8, further comprising:

When the effect type is the first type, a first blur parameter is obtained; wherein the first type is used to indicate that the effect type of the image to be processed is a volumetric light and shadow effect; the first blur parameter includes brightness parameters and/or color parameters;

The step of blurring the pixel points based on the offset distance to obtain a blurred image of the image to be processed includes:

The pixel points are blurred based on the first blur parameter and the offset distance to obtain a blurred image of the image to be processed.
The method of claim 8, further comprising:

When the effect type is the second type, obtain a second blur parameter; wherein the second type is used to indicate that the effect type of the image to be processed is an image speed line adding effect, and the second blur parameter Used to indicate the added density of image speed lines and/or the added direction of image speed lines, which are used to display the movement effect of the target object in the image to be processed;

The step of blurring the pixel points based on the offset distance to obtain a blurred image of the image to be processed includes:

The pixel points are blurred based on the second blur parameter and the offset distance to obtain a blurred image of the image to be processed.
An image processing device, including:

Acquisition unit, used to obtain images to be processed;

The first determination unit is used to determine the center position of the image to be processed and the pixel points in the target area of the image to be processed; the target area is the area where the radial blur effect is to be generated; the center position is the The center of generation of the radial blur effect in the image to be processed;

The second determination unit is used to determine the radial direction vector of the pixel point relative to the center position, and determine the offset distance of the pixel point based on the radial direction vector; the radial direction vector of the pixel point in different radial directions The offset distances are different;

A blur processing unit is configured to blur the pixel points based on the offset distance to obtain a blurred image of the image to be processed.
A computer device, including: a processor, a memory, and a bus. The memory stores machine-readable instructions executable by the processor. When the computer device is running, the processor communicates with the memory through the bus. , when the machine-readable instructions are executed by the processor, the steps of the image processing method according to any one of claims 1 to 10 are performed.
A computer-readable storage medium has a computer program stored on the computer-readable storage medium, and the computer program executes the steps of the image processing method according to any one of claims 1 to 10 when run by a processor.
A computer program product, when the computer program product is run on a computer, causes the computer to implement the steps of the image processing method according to any one of claims 1 to 10.