CN113781296A - Image watercolor processing method and device, computer equipment and storage medium - Google Patents

Image watercolor processing method and device, computer equipment and storage medium Download PDF

Info

Publication number
CN113781296A
CN113781296A CN202111106055.7A CN202111106055A CN113781296A CN 113781296 A CN113781296 A CN 113781296A CN 202111106055 A CN202111106055 A CN 202111106055A CN 113781296 A CN113781296 A CN 113781296A
Authority
CN
China
Prior art keywords
image
watercolor
edge
pixels
processing method
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111106055.7A
Other languages
Chinese (zh)
Inventor
岳泉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Yitu Software Hunan Co ltd
Original Assignee
Yitu Software Hunan Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Yitu Software Hunan Co ltd filed Critical Yitu Software Hunan Co ltd
Priority to CN202111106055.7A priority Critical patent/CN113781296A/en
Publication of CN113781296A publication Critical patent/CN113781296A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G06T3/04
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/20Image enhancement or restoration by the use of local operators
    • G06T5/30Erosion or dilatation, e.g. thinning
    • G06T5/70
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/13Edge detection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20221Image fusion; Image merging

Abstract

The invention discloses an image watercolor processing method and device, computer equipment and a storage medium. The method comprises the steps of carrying out edge extraction on an original image to obtain an edge image; fusing the original image and the edge image to obtain a fused image; carrying out random diffusion on the pixels of the fused image to obtain a non-true image; opening and closing the non-true image to obtain a smooth image; and carrying out image layer mixing on the smooth image and a preset paper texture to obtain a target image. The method carries out watercolor simulation on the image based on the mathematical morphology to obtain the image processing flow based on the morphological algorithm, and processes the image based on the image processing flow, so that the method has higher execution efficiency and better simulation effect of obtaining the target image.

Description

Image watercolor processing method and device, computer equipment and storage medium
Technical Field
The invention relates to the field of image processing, in particular to an image watercolor processing method, an image watercolor processing device, computer equipment and a storage medium.
Background
At present, the computer non-photorealistic image processing technology can conveniently and quickly create images full of artistic originality and rich in artistic imagination, is widely applied to the media industry, and can create style images with artistic representation power, such as images with oil paintings, cartoons, watercolor paintings or Chinese painting styles.
In the related art, the scheme for performing specific stylization processing on a given image is divided into two categories according to different scenes, one category is an effective simulation effect by analyzing and researching the drawing characteristics of the image according to a specific image style, but the method needs a large amount of characteristic analysis, the selected characteristic processing algorithm and the executed processing flow determine the quality of the final effect to a great extent, and the overall generalization capability is weak. The other type is that through a deep learning method, useful style characteristics are discovered and learned through constructing a learning model and training data, and style migration is carried out, but the method has low importance in early-stage feature analysis, the characteristics are only preprocessed, the model structure is complex, training is troublesome, and the recognition 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 invention aims to realize the following technical scheme: the image watercolor processing method based on the mathematical morphology algorithm is provided, and comprises the following steps:
performing edge extraction on the original image to obtain an edge image;
fusing the original image and the edge image to obtain a fused image;
carrying out random diffusion on the pixels of the fused image to obtain a non-true image;
opening and closing the non-true image to obtain a smooth image;
and carrying out image layer mixing on the smooth image and a preset paper texture to obtain a target image.
In addition, another object of the present invention is to provide an image watercolor processing apparatus based on a mathematical morphology algorithm, including: the edge extraction unit is used for carrying out edge extraction on the image to obtain an edge image;
the edge fusion unit is used for fusing the original image and the edge image to obtain a fused image;
the non-reality unit is used for randomly diffusing the pixels of the fused image to obtain a non-reality image;
the smoothing unit is used for carrying out opening and closing operation on the non-true image to obtain a smooth image;
and the mixing unit is used for carrying out image layer mixing on the smooth image and a 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 on the memory and executable on the processor, where the processor, when executing the computer program, implements the image watercolorization processing method based on the mathematical morphology algorithm according to the first aspect.
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, and the computer program, when executed by a processor, causes the processor to execute the image watercolor processing method based on the mathematical morphology algorithm according to the first aspect.
The embodiment of the invention discloses a method and a device for watercolor processing of images, computer equipment and a storage medium. The method comprises the steps of carrying out edge extraction on an original image to obtain an edge image; fusing the original image and the edge image to obtain a fused image; carrying out random diffusion on the pixels of the fused image to obtain a non-true image; opening and closing the non-true image to obtain a smooth image; and carrying out image layer mixing on the smooth image and a preset paper texture to obtain a target image. The embodiment of the invention carries out watercolor simulation of the image based on the mathematical morphology to obtain the image processing flow based on the morphological algorithm, and the image is processed based on the image processing flow, so that the image processing method has higher execution efficiency and better simulation effect of the obtained target image.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a watercolor process for an image according to an embodiment of the present invention;
FIG. 2 is a schematic view of a sub-flow of image watercolor processing according to an embodiment of the present invention;
FIG. 3 is a schematic view of another sub-flow of the watercolorization process of an image according to an embodiment of the present invention;
FIG. 4 is a schematic block diagram of an image watercolor processing apparatus provided in an embodiment of the present invention;
FIG. 5 is a schematic block diagram of a computer device provided by an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "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 the specification of the present invention 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 this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
Referring to fig. 1, fig. 1 is a schematic flow chart of an image watercolor processing method according to an embodiment of the present invention;
as shown in fig. 1, the method includes steps S101 to S105.
S101, performing edge extraction on 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 the pixels of the fused image to obtain a non-true image;
s104, opening and closing the non-true image to obtain a smooth image;
and S105, carrying out image layer mixing on the smooth image and a preset paper texture to obtain a target image.
In this embodiment, the step of determining the watercolor simulation by analyzing and studying the characteristics of the watercolor and the basic drawing method is as follows: the method comprises the following steps of edge extraction, edge fusion, pixel random diffusion, non-photorealistic processing and paper texture mixing, and is based on mathematical morphology to simulate, so that an image processing flow based on a 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 a target image is better.
In one embodiment, step S101 includes:
s201, performing expansion operation on an object in an original image to obtain an expanded image;
s202, carrying out corrosion operation on an object in the original image to obtain a corrosion image;
and S203, subtracting the expansion image and the erosion image to obtain an edge image.
In this embodiment, the edge of the object in the original image is expanded by performing an expansion operation on the object in the original image, so as to obtain an expanded image; and performing erosion operation on the object in the original image to shrink the edge of the object in the original image, thereby obtaining an erosion image. And comparing the expansion image with the erosion image, and subtracting the edges of the two images to obtain an image which is an edge image because the change areas of the two images only occur at the edges.
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 fused image. The purpose of performing pixel fusion is to deepen the edge feature of the image and facilitate subsequent detection of the edge feature.
In one embodiment, step S103 includes:
carrying out multiple random diffusion on the pixels of the fused image by adopting a Gaussian noise algorithm to obtain a non-realistic image; wherein the random diffusion means: and randomly diffusing the pixels of the fused image to the target pixel points in the 24 neighborhoods.
In this embodiment, a gaussian noise algorithm is used to randomly diffuse pixels of the fused image for multiple times, so as to increase noise points, and perform certain non-realistic processing on the image, so that the color of the image is more uniform and softer. Wherein, the random diffusion means: and randomly diffusing the pixels of the fused image to the target pixel points in the 24 neighborhoods.
Specifically, a source pixel point of the fusion image is randomly diffused to a position of a destination pixel point in a 24-neighborhood region, a pixel value of the source pixel point and a pixel value of the destination pixel point are weighted, and the weighted pixel value and the pixel value of the source pixel point are superposed and assigned to the destination pixel point. For example, the pixel value of the source pixel point is P0, the pixel value of the destination pixel point is P1, and the calculation formula adopted by the pixel value of the final destination pixel point in the scheme is as follows: p0+ | (P0-P1) |/4.
In one embodiment, step S104 includes:
opening and closing the color of each channel of the non-true image for multiple times to obtain a smooth image; the size of the arithmetic core increases each time the switching operation is performed.
In this embodiment, the opening operation is to perform the erosion operation and then perform the dilation operation, and by performing the opening operation on each channel color of the non-true image for a plurality of times, the fine objects in the non-true image can be eliminated, and the function of separating the object at the fine part and smoothing the boundary of the large object can be achieved.
The closing operation is to perform the expansion operation and then perform the corrosion operation, and by closing the color of each channel of the non-true image for multiple times, the small holes in the object in the non-true image can be filled, so that the method has the function of connecting the adjacent object and smoothing the boundary.
In the embodiment, the opening and closing operations are performed on all the channel colors of the non-real image for multiple times, and the size of the operation core for executing the opening and closing operations is gradually increased, so that the effect of expanding and flowing the boundary of the non-real image is realized while randomly increasing noise points and smoothing the boundary of the non-real image is eliminated, and the non-real image has the turbulent effect of watercolor painting.
In one embodiment, as shown in fig. 3, step S105 includes:
s301, multiplying the smooth image by the pixels of the preset paper texture to obtain an image to be adjusted;
s302, adjusting the contrast and brightness of the pixels of the image to be adjusted to obtain a target image with a watercolor painting effect.
In this embodiment, a positive bottom-stacking method is adopted, and a smooth image and a preset paper texture are subjected to layer mixing, that is, the smooth image is multiplied by pixels of the preset paper texture to obtain an image to be adjusted with a low-darkness image, and then contrast and brightness of the pixels of the image to be adjusted are adjusted to highlight a final color effect, so as to obtain a target image with a watercolor image effect.
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-rendering unit 403, a smoothing unit 404, and a blending unit 405.
An edge extraction unit 401, configured to perform edge extraction on an image to obtain an edge image;
an edge blending unit 402, configured to blend the original image and the edge image to obtain a blended image;
the unreal unit 403 is configured to perform random diffusion on pixels of the fused image to obtain an unreal image;
a smoothing unit 404, configured to perform an opening and closing operation on the non-true image to obtain a smooth image;
and a mixing unit 405, configured to perform layer mixing on the smooth image and a preset paper texture to obtain a watercolor target image.
The device determines the simulation steps of the watercolor picture by analyzing and researching the characteristics and the basic drawing method of the watercolor picture: the method comprises the following steps of edge extraction, edge fusion, pixel random diffusion, non-photorealistic processing and paper texture mixing, and is based on mathematical morphology to simulate, so that an image processing flow based on a 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 a target image is better.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
The image watercolor processing apparatus may be implemented in the form of a computer program that 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 an independent server or a server cluster composed of a plurality of servers.
Referring 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, causes the processor 502 to perform an image watercolor processing method.
The processor 502 is used to provide computing and control capabilities that support the operation of the overall computer device 500.
The internal memory 504 provides an environment for running the computer program 5032 in the non-volatile storage medium 503, and when the computer program 5032 is executed by the processor 502, the processor 502 can be caused to execute the image watercolor processing method.
The network interface 505 is used for network communication, such as providing transmission of data information. Those skilled in the art will appreciate that the configuration shown in fig. 5 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing device 500 to which aspects of the present invention may be applied, and that a particular computing device 500 may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
Those skilled in the art will appreciate that the embodiment of a computer device illustrated in fig. 5 does not constitute a limitation on the specific construction of the computer device, and that in other embodiments a computer device may include more or fewer components than those illustrated, or some components may be combined, or a different arrangement of components. For example, in some embodiments, the computer device may only include a memory and a processor, and in such embodiments, the structures and functions of the memory and the processor are consistent with those of the embodiment shown in fig. 5, and are not described herein again.
It should be understood that, in the embodiment of the present invention, the Processor 502 may be a Central Processing Unit (CPU), and the Processor 502 may also be other general purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein a 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 realizes the image watercolor processing method of the embodiment of the present invention when executed by the processor.
The storage medium is a physical and non-transitory storage medium, and may be various physical storage media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a magnetic disk, or an optical disk.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses, devices and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
While the invention has been described with reference to specific embodiments, the invention is not limited thereto, and various equivalent modifications and substitutions can be easily made by those skilled in the art within the technical scope of the invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (10)

1. An image watercolor processing method based on mathematical morphology algorithm is characterized by comprising the following steps:
performing edge extraction on the original image to obtain an edge image;
fusing the original image and the edge image to obtain a fused image;
carrying out random diffusion on the pixels of the fused image to obtain a non-true image;
opening and closing the non-true image to obtain a smooth image;
and carrying out image layer mixing on the smooth image and a preset paper texture to obtain a target image.
2. The image watercolor processing method based on the mathematical morphology algorithm according to claim 1, wherein the edge extracting of the original image to obtain the edge image comprises:
performing expansion operation on the object in the original image to obtain an expanded image;
carrying out corrosion operation on the object in the original image to obtain a corrosion image;
and subtracting the expansion image and the erosion image to obtain an edge image.
3. The image watercolor processing method based on the mathematical morphology algorithm according to claim 1, wherein the fusing the original image and the edge image to obtain a 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 fused image.
4. The image watercolor processing method based on the mathematical morphology algorithm according to claim 1, wherein the randomly diffusing the pixels of the fused image to obtain a non-true image comprises:
carrying out multiple random diffusion on the pixels of the fused image by adopting a Gaussian noise algorithm to obtain a non-realistic image; wherein the random diffusion means: and randomly diffusing the pixels of the fused image to a target pixel point in a 24-neighborhood.
5. The image watercolor processing method based on the mathematical morphology algorithm according to claim 4, wherein the calculation mode of randomly diffusing the pixels of the fusion image to the target pixel points in the 24 neighborhoods is as follows:
and weighting the pixel value of each pixel point of the fused image and the pixel value of the target pixel point, and then superposing the pixel values of the source pixel points.
6. The image watercolor processing method based on the mathematical morphology algorithm according to claim 1, wherein the opening and closing operation of the non-true image to obtain a smooth image comprises:
opening and closing the colors of all channels of the non-true image for multiple times to obtain a smooth image; the size of the arithmetic core increases each time the switching operation is performed.
7. The image watercolor processing method based on the mathematical morphology algorithm according to claim 1, wherein the step of performing layer mixing on the smooth image and a preset paper texture to obtain a target image comprises:
multiplying the smooth image by pixels of a preset paper texture to obtain an image to be adjusted;
and adjusting the contrast and brightness of the pixels of the image to be adjusted to obtain a target image with the watercolor painting effect.
8. An image watercolor processing device based on mathematical morphology algorithm is characterized by comprising:
the edge extraction unit is used for carrying out edge extraction on the image to obtain an edge image;
the edge fusion unit is used for fusing the original image and the edge image to obtain a fused image;
the non-reality unit is used for randomly diffusing the pixels of the fused image to obtain a non-reality image;
the smoothing unit is used for carrying out opening and closing operation on the non-true image to obtain a smooth image;
and the mixing unit is used for carrying out image layer mixing on the smooth image and a preset paper texture to obtain a watercolor target image.
9. 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 image watercolorization processing method based on mathematical morphology algorithm according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, characterized in that it stores a computer program which, when executed by a processor, causes the processor to execute the image watercolor processing method based on mathematical morphology algorithm according to any one of claims 1 to 7.
CN202111106055.7A 2021-09-22 2021-09-22 Image watercolor processing method and device, computer equipment and storage medium Pending CN113781296A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111106055.7A CN113781296A (en) 2021-09-22 2021-09-22 Image watercolor processing method and device, computer equipment and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111106055.7A CN113781296A (en) 2021-09-22 2021-09-22 Image watercolor processing method and device, computer equipment and storage medium

Publications (1)

Publication Number Publication Date
CN113781296A true CN113781296A (en) 2021-12-10

Family

ID=78852531

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111106055.7A Pending CN113781296A (en) 2021-09-22 2021-09-22 Image watercolor processing method and device, computer equipment and storage medium

Country Status (1)

Country Link
CN (1) CN113781296A (en)

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2034442A1 (en) * 2007-09-06 2009-03-11 Thomson Licensing Method for non-photorealistic rendering of an image frame sequence
EP2144200A1 (en) * 2008-07-07 2010-01-13 Thomson Licensing Method and device for video processing to obtain watercolor effect
US20110229029A1 (en) * 2010-01-19 2011-09-22 Pixar Selective diffusion of filtered edges in images
CN102663788A (en) * 2012-04-12 2012-09-12 云南大学 Pen light-colored artistic effect drawing method based on unreality feeling
CN103914863A (en) * 2014-03-10 2014-07-09 西藏民族学院 Method for abstractly drawing color image
CN105303598A (en) * 2015-10-23 2016-02-03 浙江工业大学 Multi-style video artistic processing method based on texture transfer
CN105574834A (en) * 2015-12-23 2016-05-11 小米科技有限责任公司 Image processing method and apparatus
CN106157313A (en) * 2016-07-13 2016-11-23 云南大学 A kind of lines drawing with coloured chalk artistic style analogy method
US10008011B1 (en) * 2014-11-26 2018-06-26 John Balestrieri Methods for creating a simulated watercolor-painted image from a source image
CN110675339A (en) * 2019-09-16 2020-01-10 山东师范大学 Image restoration method and system based on edge restoration and content restoration

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2034442A1 (en) * 2007-09-06 2009-03-11 Thomson Licensing Method for non-photorealistic rendering of an image frame sequence
EP2144200A1 (en) * 2008-07-07 2010-01-13 Thomson Licensing Method and device for video processing to obtain watercolor effect
US20110229029A1 (en) * 2010-01-19 2011-09-22 Pixar Selective diffusion of filtered edges in images
CN102663788A (en) * 2012-04-12 2012-09-12 云南大学 Pen light-colored artistic effect drawing method based on unreality feeling
CN103914863A (en) * 2014-03-10 2014-07-09 西藏民族学院 Method for abstractly drawing color image
US10008011B1 (en) * 2014-11-26 2018-06-26 John Balestrieri Methods for creating a simulated watercolor-painted image from a source image
CN105303598A (en) * 2015-10-23 2016-02-03 浙江工业大学 Multi-style video artistic processing method based on texture transfer
CN105574834A (en) * 2015-12-23 2016-05-11 小米科技有限责任公司 Image processing method and apparatus
CN106157313A (en) * 2016-07-13 2016-11-23 云南大学 A kind of lines drawing with coloured chalk artistic style analogy method
CN110675339A (en) * 2019-09-16 2020-01-10 山东师范大学 Image restoration method and system based on edge restoration and content restoration

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
WENHUA QIAN等: "《Simulating Chalk Art Style Painting》", 《INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTI¯CIAL INTELLIGENCE》, vol. 31, no. 12, pages 20 *
康丽锋 等: "《基于彩色形态学的水彩画模拟》", 《计算机工程与应用》, vol. 46, no. 5, pages 157 - 159 *

Similar Documents

Publication Publication Date Title
CN107749077B (en) Card ventilation grid shadow rendering method, device, equipment and medium
US8879835B2 (en) Fast adaptive edge-aware matting
US10489946B1 (en) Generalized primitives for smooth coloring of vector graphics artwork in constant time
US20130141439A1 (en) Method and system for generating animated art effects on static images
US10922852B2 (en) Oil painting stroke simulation using neural network
Yang et al. A stylized approach for pencil drawing from photographs
Vergne et al. Implicit Brushes for Stylized Line‐based Rendering
US7460129B2 (en) Manipulating text and graphic appearance
CN108960012B (en) Feature point detection method and device and electronic equipment
CN110363837B (en) Method and device for processing texture image in game, electronic equipment and storage medium
CN111383191A (en) Image processing method and device for repairing blood vessel fracture
CN113827958B (en) Magma rendering method, device, equipment and storage medium
Cong et al. Selective image abstraction
US20220222791A1 (en) Generating image masks from digital images utilizing color density estimation and deep learning models
CN116957917B (en) Image beautifying method and device based on near-end policy optimization
Wong et al. Abstracting images into continuous-line artistic styles
CN113781296A (en) Image watercolor processing method and device, computer equipment and storage medium
CN101799931B (en) Painting rendering method based on colour feature study
US20220230388A1 (en) Modifying voxel resolutions within three-dimensional representations
CN113538647B (en) Ink image rendering method
TW201503056A (en) Method and device for processing a picture
Lee et al. A multi-level depiction method for painterly rendering based on visual perception cue
Rosin et al. Watercolour rendering of portraits
Arroyo et al. Stochastic generation of dots for computer aided stippling
AU2015271935A1 (en) Measure of image region visual information

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination