CN113781296B - Image watercolor processing method, device, computer equipment and storage medium - Google Patents
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/04—Context-preserving transformations, e.g. by using an importance map
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/20—Image enhancement or restoration using local operators
- G06T5/30—Erosion or dilatation, e.g. thinning
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20212—Image combination
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Abstract
The invention discloses an image watercolor processing method, an image watercolor processing device, computer equipment and a storage medium. The method comprises the steps of extracting edges of an original image to obtain an edge image; fusing the original image and the edge image to obtain a fused image; randomly diffusing pixels of the fusion image to obtain a non-true image; carrying out opening and closing operation on the non-real image to obtain a smooth image; and carrying out layer mixing on the smooth image and a preset paper texture to obtain a target image. The invention carries out image watercolor simulation based on mathematical morphology to obtain the image processing flow based on morphological algorithm, processes the image based on the image processing flow, has higher execution efficiency and better simulation effect of obtaining the target image.
Description
Technical Field
The present invention relates to the field of image processing, and in particular, to a method and apparatus for processing image watercolor, a computer device, and a storage medium.
Background
At present, the computer non-realistic image processing technology can conveniently and quickly create images full of artistic originality and rich in artistic imagination, and the technology is also widely applied to the media industry, and can create style images with artistic characterizations, such as images with oil painting, cartoon, watercolor painting or traditional Chinese painting styles.
In the related art, the scheme of performing specific stylization processing on a given image is roughly divided into two types according to different implementation schemes of different scenes, one type is that according to specific image styles, effective simulation effects are achieved by analyzing and researching drawing characteristics of the specific image styles, but a large number of characteristic analysis needs to be performed in the method, the selected characteristic processing algorithm and the executed processing flow can determine the advantages and disadvantages of the final effects to a great extent, and the overall generalization capability is weak. The other is that through the deep learning method, through constructing learning model and training data, useful style characteristics are found and learned and style migration is carried out, but the method has low importance in the earlier stage of characteristic analysis, the characteristics are only preprocessed, the model structure is complex, the training is troublesome, and the knowledge of the characteristics is lost.
Disclosure of Invention
The invention aims to provide an image watercolor processing method, an image watercolor processing device, computer equipment and a storage medium, and aims to solve the problems of poor simulation effect and low execution efficiency of watercolor processing on a given image in the prior art.
In order to solve the technical problems, the aim of the invention is realized by the following technical scheme: the image watercolor processing method based on the mathematical morphology algorithm comprises the following steps:
extracting the edges of the original image to obtain an edge image;
Fusing the original image and the edge image to obtain a fused image;
Randomly diffusing pixels of the fusion image to obtain a non-true image;
Carrying out opening and closing operation on the non-real image to obtain a smooth image;
and carrying out layer mixing on the smooth image and a preset paper texture to obtain a target image.
In addition, the technical problem to be solved by the invention is to provide an image watercolor processing device based on mathematical morphology algorithm, which comprises: the edge extraction unit is used for extracting edges of the images to obtain edge images;
The edge fusion unit is used for fusing the original image and the edge image to obtain a fused image;
The non-realisation unit is used for randomly diffusing pixels of the fusion image to obtain a non-real image;
The smoothing unit is used for carrying out opening and closing operations on the non-true images to obtain smoothed images;
and the mixing unit is used for carrying out layer mixing on the smooth image and the preset paper texture to obtain a watercolor target image.
In addition, an embodiment of the present invention further provides a computer device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the image watercolor processing method based on the mathematical morphology algorithm according to the first aspect when executing the computer program.
In addition, an embodiment of the present invention further provides a computer readable storage medium, where the computer readable storage medium stores a computer program, where the computer program when executed by a processor causes the processor to execute the image watercolor processing method based on the mathematical morphology algorithm described in the first aspect.
The embodiment of the invention discloses an image watercolor processing method, an image watercolor processing device, computer equipment and a storage medium. The method comprises the steps of extracting edges of an original image to obtain an edge image; fusing the original image and the edge image to obtain a fused image; randomly diffusing pixels of the fusion image to obtain a non-true image; carrying out opening and closing operation on the non-real image to obtain a smooth image; and carrying out layer mixing on the smooth image and a preset paper texture to obtain a target image. According to the embodiment of the invention, the image watercolor simulation is performed based on mathematical morphology, the image processing flow based on morphological algorithm is obtained, the image is processed based on the image processing flow, the execution efficiency is higher, and the simulation effect of obtaining the target image is better.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of an image watercolor process according to an embodiment of the present invention;
FIG. 2 is a schematic view of a sub-flowchart of the image watercolor process according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a sub-flowchart of the image watercolor process according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of an image watercolor processing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the terms "comprises" and "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in this specification and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in the present specification and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes such combinations.
Referring to fig. 1, fig. 1 is a schematic flow chart of an image watercolor processing method according to an embodiment of the invention;
as shown in fig. 1, the method includes steps S101 to S105.
S101, extracting edges of an original image to obtain an edge image;
s102, fusing the original image and the edge image to obtain a fused image;
s103, randomly diffusing pixels of the fusion image to obtain a non-true image;
S104, carrying out opening and closing operation on the non-true image to obtain a smooth image;
s105, carrying out layer mixing on the smooth image and a preset paper texture to obtain a target image.
The method for simulating the watercolor is characterized by analyzing and researching the characteristics and the basic drawing method of the watercolor, and comprises the following steps: edge extraction, edge fusion, pixel random diffusion, unrealistic processing and paper texture mixing, and simulation is carried out based on mathematical morphology to obtain an image processing flow based on a morphological algorithm, and the image is processed based on the image processing flow, so that the method has higher execution efficiency and better simulation effect of obtaining a target image.
In one embodiment, step S101 includes:
s201, performing expansion operation on an object in an original image to obtain an expanded image;
S202, performing corrosion operation on an object in an original image to obtain a corrosion image;
s203, subtracting the expansion image and the corrosion image to obtain an edge image.
In the embodiment, the edge of the object in the original image is expanded by performing expansion operation on the object in the original image, so that an expanded image is obtained; and (3) performing corrosion operation on the object in the original image to shrink the edge of the object in the original image, so as to obtain a corrosion image. And comparing the expansion image with the corrosion image, wherein the change area of the two images only occurs at the edge, so that the edges of the two images are subtracted, and the obtained image is an edge image.
In one embodiment, step S102 includes:
and carrying out pixel fusion on the pixels of the original image and the pixels of the edge image to obtain a fusion image. The purpose of the pixel fusion is to deepen the edge characteristics of the image, so that the subsequent detection of the edge characteristics is facilitated.
In one embodiment, step S103 includes:
Carrying out random diffusion on pixels of the fusion image for a plurality of times by adopting a Gaussian noise algorithm to obtain a non-real image which is not real; wherein random diffusion refers to: and randomly diffusing the pixels of the fused image to target pixel points in the 24 neighborhood.
In this embodiment, the gaussian noise algorithm is used to randomly diffuse the pixels of the fused image multiple times, so as to increase noise points, so that certain unrealistic processing is performed on the image, and the color of the image is more uniform and softer. Wherein, random diffusion refers to: and randomly diffusing the pixels of the fused image to target pixel points in the 24 neighborhood.
Specifically, the source pixel point of the fusion image is randomly diffused to the position of a target pixel point in the 24 neighborhood, the pixel value of the source pixel point and the pixel value of the target pixel point are subjected to weighting, the pixel value after the weighting is overlapped with the pixel value of the source pixel point, and the target pixel point is given. For example, the pixel value of the source pixel is P0, the pixel value of the destination pixel is P1, and the calculation formula adopted by the pixel value of the final destination pixel in the scheme is as follows: p0+| (P0-P1) |/4.
In one embodiment, step S104 includes:
Carrying out multiple opening and closing operations on each channel color of the non-real image to obtain a smooth image; wherein the size of the operation core is gradually increased during each opening and closing operation.
In this embodiment, the opening operation refers to performing the expansion operation after the etching operation, and by performing the opening operation for each channel color of the non-genuine image multiple times, the fine objects in the non-genuine image can be eliminated, and the effect of separating the objects at the fine positions and smoothing the boundaries of the larger objects can be achieved.
The closing operation means that the etching operation is performed after the expansion operation is performed, and the tiny holes in the object in the non-real image can be filled through the repeated closing operation on each channel color of the non-real image, so that the effect of connecting adjacent objects and smooth boundaries is achieved.
According to the embodiment, the opening and closing operations are carried out for a plurality of times on each channel color of the non-real image, the size of the operation core for executing the opening and closing operations is gradually increased, the randomly increased noise points are eliminated, the boundary of the non-real image is smoothed, and meanwhile the effect of expanding flow of the boundary of the non-real image is achieved, so that the non-real image has the turbulent flow effect of the watercolor picture.
In one embodiment, as shown in fig. 3, step S105 includes:
s301, multiplying the smooth image with pixels of a preset paper texture to obtain an image to be adjusted;
S302, adjusting the contrast and brightness of pixels of the image to be adjusted to obtain a target image with the watercolor effect.
In the embodiment, a positive film bottom stacking method is adopted, and the smooth image and the preset paper texture are subjected to layer mixing, namely the smooth image is multiplied by the pixels of the preset paper texture, so that an image to be adjusted of a low darkness picture can be obtained, and the contrast and the brightness of the pixels of the image to be adjusted are adjusted to highlight the final color effect, so that a target image with the watercolor effect is obtained.
The embodiment of the invention also provides an image watercolor processing device which is used for executing any embodiment of the image watercolor processing method. Specifically, referring to fig. 4, fig. 4 is a schematic block diagram of an image watercolor processing apparatus according to an embodiment of the present invention.
As shown in fig. 4, the image watercolor processing apparatus 400 includes: an edge extraction unit 401, an edge fusion unit 402, a non-realisation unit 403, a smoothing unit 404, and a mixing unit 405.
An edge extraction unit 401, configured to perform edge extraction on an image to obtain an edge image;
An edge fusion unit 402, configured to fuse the original image with the edge image to obtain a fused image;
the non-realisation unit 403 is configured to randomly diffuse pixels of the fused image to obtain a non-real image;
a smoothing unit 404, configured to perform an opening and closing operation on the non-true image to obtain a smoothed image;
And the mixing unit 405 is used for performing layer mixing on the smooth image and the preset paper texture to obtain a watercolor target image.
The device determines the simulation steps of the watercolor by analyzing and researching the characteristics and the basic drawing method of the watercolor: edge extraction, edge fusion, pixel random diffusion, unrealistic processing and paper texture mixing, and simulation is carried out based on mathematical morphology to obtain an image processing flow based on a morphological algorithm, and the image is processed based on the image processing flow, so that the method has higher execution efficiency and better simulation effect of obtaining a target image.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus and units described above may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
The image watercolour processing device described above may be implemented in the form of a computer program which can be run on a computer device as shown in fig. 5.
Referring to fig. 5, fig. 5 is a schematic block diagram of a computer device according to an embodiment of the present invention. The computer device 500 is a server, and the server may be a stand-alone server or a server cluster formed by a plurality of servers.
With reference to FIG. 5, the computer device 500 includes a processor 502, memory, and a network interface 505 connected by a system bus 501, where the memory may include a non-volatile storage medium 503 and an internal memory 504.
The non-volatile storage medium 503 may store an operating system 5031 and a computer program 5032. The computer program 5032, when executed, may cause the processor 502 to perform an image watercolor processing method.
The processor 502 is used to provide computing and control capabilities to support the operation of the overall computer device 500.
The internal memory 504 provides an environment for the execution of a computer program 5032 in the non-volatile storage medium 503, which computer program 5032, when executed by the processor 502, causes the processor 502 to perform the image watercolour processing method.
The network interface 505 is used for network communication, such as providing for transmission of data information, etc. It will be appreciated by those skilled in the art that the architecture shown in fig. 5 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting of the computer device 500 to which the present inventive arrangements may be implemented, as a particular computer device 500 may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
Those skilled in the art will appreciate that the embodiment of the computer device shown in fig. 5 is not limiting of the specific construction of the computer device, and in other embodiments, the computer device may include more or less components than those shown, or certain components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may include only a memory and a processor, and in such embodiments, the structure and function of the memory and the processor are consistent with the embodiment shown in fig. 5, and will not be described again.
It should be appreciated that in embodiments of the present invention, the Processor 502 may be a central processing unit (Central Processing Unit, CPU), the Processor 502 may also be other general purpose processors, digital signal processors (DIGITAL SIGNAL processors, DSPs), application SPECIFIC INTEGRATED Circuits (ASICs), off-the-shelf Programmable gate arrays (Field-Programmable GATEARRAY, FPGA) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. Wherein the general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
In another embodiment of the invention, a computer-readable storage medium is provided. The computer readable storage medium may be a non-volatile computer readable storage medium. The computer readable storage medium stores a computer program, wherein the computer program when executed by a processor implements the image watercolor processing method of the embodiment of the invention.
The storage medium is a physical, non-transitory storage medium, and may be, for example, a U-disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the apparatus, device and unit described above may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
While the invention has been described with reference to certain preferred embodiments, it will be understood by those skilled in the art that various changes and substitutions of equivalents may be made and equivalents will be apparent to those skilled in the art without departing from the scope of the invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (6)
1. An image watercolor processing method based on a mathematical morphology algorithm is characterized by comprising the following steps:
extracting the edges of the original image to obtain an edge image;
Fusing the original image and the edge image to obtain a fused image;
Randomly diffusing pixels of the fusion image to obtain a non-true image;
Carrying out opening and closing operation on the non-real image to obtain a smooth image;
carrying out layer mixing on the smooth image and a preset paper texture to obtain a target image;
the random diffusion is carried out on the pixels of the fusion image to obtain a non-true image, which comprises the following steps: carrying out random diffusion on pixels of the fusion image for a plurality of times by adopting a Gaussian noise algorithm to obtain a non-real image which is not real; wherein random diffusion refers to: randomly diffusing the pixels of the fusion image to target pixel points in a 24 neighborhood;
The calculation mode of randomly diffusing the pixels of the fusion image to the target pixel points in 24 neighborhoods is as follows: and carrying out weighting treatment on the pixel values of each pixel point of the fusion image and the pixel values of the target pixel point, and then superposing the pixel values of the source pixel points, wherein the specific calculation formula is as follows: p0+| (P0-P1) |/4, P0 is the source pixel value, and P1 is the destination pixel value;
The step of performing an opening and closing operation on the non-true image to obtain a smooth image includes: carrying out multiple opening and closing operations on each channel color of the non-true image to obtain a smooth image; the size of the operation core is gradually increased during each opening and closing operation;
The step of performing layer mixing on the smooth image and a preset paper texture to obtain a target image includes: multiplying the smooth image with pixels of a preset paper texture by adopting a positive film overlapping method to obtain an image to be adjusted of a low darkness picture; and adjusting the contrast and brightness of the pixels of the image to be adjusted so as to highlight the final color effect and obtain the target image with the watercolor effect.
2. The method for processing the watercolor of the image based on the mathematical morphology algorithm according to claim 1, wherein the performing edge extraction on the original image to obtain an edge image comprises:
performing expansion operation on the object in the original image to obtain an expanded image;
Performing corrosion operation on the object in the original image to obtain a corrosion image;
and subtracting the expansion image and the corrosion image to obtain an edge image.
3. The method for processing the image watercolor based on the mathematical morphology algorithm according to claim 1, wherein the fusing the original image and the edge image to obtain the fused image comprises:
and carrying out pixel fusion on the pixels of the original image and the pixels of the edge image to obtain a fusion image.
4. An image watercolor processing device based on a mathematical morphology algorithm, which is characterized by comprising:
The edge extraction unit is used for extracting edges of the images to obtain edge images;
The edge fusion unit is used for fusing the original image and the edge image to obtain a fused image;
The non-realisation unit is used for randomly diffusing pixels of the fusion image to obtain a non-real image;
The smoothing unit is used for carrying out opening and closing operations on the non-true images to obtain smoothed images;
the mixing unit is used for carrying out layer mixing on the smooth image and a preset paper texture to obtain a watercolor target image;
the non-materialization unit includes: carrying out random diffusion on pixels of the fusion image for a plurality of times by adopting a Gaussian noise algorithm to obtain a non-real image which is not real; wherein random diffusion refers to: randomly diffusing the pixels of the fusion image to target pixel points in a 24 neighborhood;
The calculation mode of randomly diffusing the pixels of the fusion image to the target pixel points in 24 neighborhoods is as follows: and carrying out weighting treatment on the pixel values of each pixel point of the fusion image and the pixel values of the target pixel point, and then superposing the pixel values of the source pixel points, wherein the specific calculation formula is as follows: p0+| (P0-P1) |/4, P0 is the source pixel value, and P1 is the destination pixel value;
The step of performing an opening and closing operation on the non-true image to obtain a smooth image includes: carrying out multiple opening and closing operations on each channel color of the non-true image to obtain a smooth image; the size of the operation core is gradually increased during each opening and closing operation;
The step of performing layer mixing on the smooth image and a preset paper texture to obtain a target image includes: multiplying the smooth image with pixels of a preset paper texture by adopting a positive film overlapping method to obtain an image to be adjusted of a low darkness picture; and adjusting the contrast and brightness of the pixels of the image to be adjusted so as to highlight the final color effect and obtain the target image with the watercolor effect.
5. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the mathematical morphological algorithm-based image watercolour processing method according to any one of claims 1 to 3 when the computer program is executed.
6. A computer readable storage medium, characterized in that it stores a computer program which, when executed by a processor, causes the processor to perform the image watercolour processing method based on a mathematical morphology algorithm according to any one of claims 1 to 3.
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