CN110264546B - Image synthesis method and device, computer-readable storage medium and terminal - Google Patents
Image synthesis method and device, computer-readable storage medium and terminal Download PDFInfo
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/60—Editing figures and text; Combining figures or text
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
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- G06T7/10—Segmentation; Edge detection
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- G—PHYSICS
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- G06T2207/20212—Image combination
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Abstract
The invention relates to a method, a device, a computer readable storage medium and a terminal for image synthesis, wherein the method comprises the following steps: acquiring a first image; acquiring a target image; processing the target image to form a second image; merging the second image into the first image. By utilizing the image synthesis method, the image synthesis device, the computer readable storage medium and the terminal, the content requirement on the original image can be reduced, so that other images to be synthesized can be merged into the original image containing any content, and the application range is expanded; in addition, the coordinate information of at least two pixel points is not required to be acquired in the image at the same time, so that the operation difficulty is reduced, the user operation is facilitated, and the user experience is further improved.
Description
Technical Field
The present invention relates to the field of image synthesis technologies, and in particular, to an image synthesis method, an image synthesis apparatus, a computer-readable storage medium, and a terminal.
Background
In the prior art, image synthesis does not process a target image, and even if the target image is processed, the original image needs to be processed only by a human figure; in addition, the coordinate information of at least two pixel points must be acquired simultaneously when the target image is processed.
Therefore, in order to reduce the requirements on image contents during image merging, merging is more convenient and more convenient, and the requirements of users are better met; meanwhile, the operation of a user is facilitated, and the operation difficulty is reduced; therefore, it is desirable to provide an image synthesis method to solve the above problems.
Disclosure of Invention
The invention aims to provide an image synthesis method, an image synthesis device, a computer readable storage medium and a terminal, which realize the purpose of merging an original image with other images when the original image is a non-human image; meanwhile, the operation difficulty is reduced, the user operation is facilitated, and the user experience is further improved.
The purpose of the invention is realized by adopting the following technical scheme. The image synthesis method provided by the invention comprises the following steps: acquiring a first image; acquiring a target image; processing the target image to form a second image; merging the second image into the first image.
The object of the invention can be further achieved by the following technical measures.
The image synthesis method further includes, before the processing the target image and then forming a second image: and preprocessing the first image.
In the foregoing method for image synthesis, the preprocessing the first image includes: scaling the first image; and/or cropping the first image.
In the foregoing method for image synthesis, the preprocessing the first image further includes: carrying out anti-distortion processing on the first image; and/or performing noise reduction processing on the first image.
In the foregoing method for image synthesis, the processing the target image to form a second image includes: selecting a reference point in the first image; acquiring a first calculation point and a second calculation point in the target image; calculating a target parameter according to the reference point, the first calculation point and the second calculation point; modifying a location attribute associated with the target image in accordance with the target parameter.
In the image synthesis method, when the first image is a rectangle, the intersection point of the diagonals of the first image is selected as a reference point.
The aforementioned method for image synthesis, wherein the target parameter comprises at least one of the following parameters: a displacement amount; rotating the angle; and (4) scaling.
In the foregoing method for image synthesis, when the number of the target images is not less than two, before the second image is merged into the first image, the method further includes: sequencing the target images; or the second image is subjected to sequencing processing.
The object of the present invention is also achieved by the following technical means. The invention provides an image synthesis device, which comprises: module for performing the steps of the method of image synthesis according to any of the preceding claims.
The object of the present invention is also achieved by the following technical means. A computer-readable storage medium according to the invention is proposed, on which a computer program is stored which, when executed, implements the method of image composition of any of the preceding claims.
The object of the present invention is also achieved by the following technical means. The terminal according to the present invention includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the image synthesis method according to any one of the preceding claims when executing the computer program.
Compared with the prior art, the invention has obvious advantages and beneficial effects. By the technical scheme, the image synthesis method, the image synthesis device, the computer readable storage medium and the terminal provided by the invention at least have the following advantages and beneficial effects:
(1) The content requirement on the original image is reduced, so that other images to be synthesized can be merged into the original image containing any content, and the application range is expanded.
(2) The coordinate information of at least two pixel points is not required to be acquired simultaneously, so that the operation difficulty is reduced, the user operation is facilitated, and the user experience is further improved.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical solutions of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following preferred embodiments are specifically described below with reference to the accompanying drawings.
Drawings
FIG. 1 is a block flow diagram of a method of image composition according to one embodiment of the invention;
FIG. 2 is a block flow diagram of a method of image composition according to one embodiment of the invention;
FIG. 3 is a block flow diagram of a method of image composition according to one embodiment of the invention;
FIG. 4 is a block flow diagram of a method of image composition according to one embodiment of the invention;
FIG. 5 is a block flow diagram of a method of image composition according to one embodiment of the invention;
FIG. 6 is a block flow diagram of a method of image composition according to one embodiment of the invention;
fig. 7 is a block diagram of a terminal according to an embodiment of the present invention.
Wherein, the correspondence between the reference numbers and names in fig. 1 to 7 is:
terminal 10000, memory 11000, computer program 11100, processor 12000.
Detailed Description
To further illustrate the technical means and effects of the present invention adopted to achieve the predetermined objects, the following detailed description will be given of embodiments, structures, features and effects of the image synthesis method, apparatus, computer-readable storage medium and terminal according to the present invention, with reference to the accompanying drawings and preferred embodiments.
Although each embodiment represents a single combination of claimed steps, the steps of different embodiments of the invention can be substituted or combined and the invention is thus deemed to encompass all possible combinations of steps of the same and/or different embodiments described. Thus, if one embodiment comprises step A, B, C and another embodiment comprises a combination of steps B and D, then the invention is also considered to include embodiments that include all other possible combinations of one or more steps of A, B, C, D, although this embodiment may not be explicitly recited in text below.
The terms referred to in the embodiments of the present invention will be explained and explained below:
it will be understood by those skilled in the art that the file format of the image is not limited by the present invention, and may be any one of conventional image formats, such as jpg, bmp, jpg, png, tif, gif, cdr, ai, wmf, psd, etc.
It should be understood by those skilled in the art that the obtaining in the present invention may be active obtaining, obtaining in response to a request instruction, obtaining within a preset time range, obtaining in real time or in other manners, and the obtaining is not explained and described in detail herein because it is not the main inventive point of the present invention.
An image synthesis method according to an embodiment of the present invention will be described in detail below with reference to the accompanying drawings.
FIG. 1 is a block diagram of a method for image synthesis according to an embodiment of the present invention. Referring to fig. 1, the method for image synthesis according to the embodiment of the present invention mainly includes the following steps:
s100, acquiring a first image.
The first image is an image that is a base layer of the composite image, and may also be called a base layer or a background layer, and it should be understood by those skilled in the art that the scope of the present invention is intended to be within the scope of the present invention as long as the composite image is superimposed on the first image.
And S200, acquiring a target image.
The target image is an image different from the first image.
In some embodiments, the number of target images is one. Because the number of the target images is only one, the acquisition speed is high, the occupied time of the bandwidth is reduced, and the efficiency is improved; meanwhile, the processing speed in the later period is convenient to increase.
In other embodiments, referring to fig. 5, when the number of the target images is not less than two, before the merging of the second image into the first image, the method further includes:
s210: and carrying out sequencing processing on the target images.
The sorting process may be automatically sorting according to a preset sorting rule, or sorting in response to a sorting request of a user.
In some embodiments, the ranking process may add or delete target images as desired by the user. In other embodiments, the sorting process may sort in the order in which the user specified the target images.
The embodiment of the invention adds the ordering step aiming at the condition that the number of the target images is multiple, so that the target images can be obtained completely according to the preset sequence or the intention of a user, thereby avoiding the adverse effect on the final picture synthesis effect caused by the change of the obtaining sequence and further improving the user experience; meanwhile, the efficient utilization of the transmission path is guaranteed, so that resource waste is avoided, the use cost is saved, and the market competitiveness is further improved.
And S400, processing the target image to form a second image.
Those skilled in the art will appreciate that the second image is formed from the target image after processing.
The processing refers to processing the target image according to a preset method. Optionally, the preset method may be to check the target image, determine whether the check index parameter of the target image meets a preset condition, and determine the target image as the second image if the check index parameter meets the preset condition. Optionally, if the inspection index parameter is found not to satisfy the preset condition after the inspection, the target image is corrected or the related inspection index parameter is updated until the related condition is satisfied, and then the target image is determined as the second image.
In some embodiments, referring to fig. 4, the step S400 specifically includes:
s410 selects a reference point in the target image.
The reference point is a coordinate point calculated according to the acquired attribute information of the target image. For example, when the target image is a rectangle, the intersection of the diagonal lines of the corresponding rectangle may be selected as the reference point, or another point of the corresponding rectangular region may be used as the reference point. When the target image is in other shapes, the center of the corresponding graph can be selected as a reference point; other geometric centers of the corresponding figures may also be used as reference points.
It should be understood by those skilled in the art that the reference point is calculated according to the shape attribute of the target image, and is not related to the specific content in the target image, so that any method for determining the reference point in the same way is within the scope of the present invention.
S420 acquires a first calculation point and a second calculation point in the target image.
The first calculation point and the second calculation point can be obtained after user input; or automatically calculated according to the relevant attributes of the target graph. In some embodiments, the user input refers to a user determining by touching a coordinate point within the target graphic. In some embodiments, the user input refers to a user determining by mouse clicking on a coordinate point within the target graphic. In some embodiments, the user input refers to a user determination by a location of a coordinate point within the voice control target graphic. In other embodiments, the user operation is prompted when the user performs the input operation. The prompt can be a voice prompt, a graphic prompt, an animation prompt or the like.
S430 calculates the target parameter according to the reference point, the first calculation point, and the second calculation point.
The target parameters refer to preset parameters, and the parameters are key parameters for adjusting the target image into the second image.
In some embodiments, the first calculation point is an indicator point, the second calculation point is a touch point, and the target parameter is a deviation between the touch point and the indicator point.
Specifically, the coordinates of the indicating point (relative to the reference point) can be calculated by using the following formula:
const real_x＝r*(Math.cos(theta)*v.x-Math.sin(theta)*v.y)；
const real_y＝r*(Math.sin(theta)*v.x+Math.cos(theta)*v.y)；
the parameters of the above formula are illustrated below:
r is the expansion ratio, theta is the rotation angle, and v is the connecting line vector of the target image contact point and the target image reference point.
The deviation amount may be calculated by calculating the difference between the coordinates of the contact point and the coordinates of the indicating point, i.e., (delta _ x, delta _ y).
S440 modifies the position attribute associated with the target image according to the target parameter.
In some embodiments, the target-image-related location attribute is the same as the target parameter, in some embodiments the target-image-related location attribute is a factor directly affecting the target parameter, and in other embodiments the target-image-related location attribute is a factor directly affecting the target parameter.
In some embodiments, the target parameter is a rotation angle. According to the method and the device, after the rotation angle is calculated, the position attribute related to the target image is modified or updated, so that the obtained second image meets the requirement of a user on image combination.
Specifically, a connecting line between the reference point and the first calculating point forms a first vector, and a connecting line between the reference point and the second calculating point forms a second vector, wherein the starting points of the first vector and the second vector are the reference points; and then calculating the rotation angle according to the two vectors.
Of course, the person skilled in the art may also calculate the rotation angle in other ways, and any method that utilizes the reference point, the first calculation point and the second calculation point should be within the scope of the present invention.
In some embodiments, the target parameter is scaling. According to the method and the device, after the scaling is calculated, the position attribute related to the target image is modified or updated, so that the obtained second image meets the requirement of a user on image combination.
Specifically, the scaling ratio can be calculated by using the following formula: scale = math.sqrt (v1. X × v1.X + v1.Y × v1. Y)/L0. Wherein scale is a scaling, V1 is a second calculation point, its coordinate values are (v1. X, v1. Y), and L0 is a half of the diagonal distance of the first image.
In some embodiments, the target parameter is an amount of displacement. According to the method and the device, after the displacement amount is calculated, the position attribute related to the target image is modified or updated, so that the obtained second image meets the requirement of a user on image combination.
Specifically, the displacement amount may be obtained by calculating an offset amount.
In some embodiments, referring to fig. 6, when the number of the target images is not less than two, before the merging of the second image into the first image, the method further includes:
s450: and carrying out sequencing processing on the second image.
The sorting process may be automatically sorting according to a preset sorting rule, or sorting in response to a sorting request of a user.
In some embodiments, the ranking process may add or delete target images as desired by the user. In other embodiments, the sorting process may sort in the order in which the user specified the target images.
The embodiment of the invention adds the ordering step aiming at the condition that the second image is multiple, which is convenient for ensuring that the second image is completely obtained according to the preset sequence or the intention of the user when being obtained, thereby avoiding the adverse effect on the final picture synthesis effect caused by the change of the obtaining sequence and further improving the user experience; meanwhile, the efficient utilization of the transmission path is guaranteed, so that resource waste is avoided, the use cost is saved, and the market competitiveness is further improved.
And S500, merging the second image into the first image.
It should be understood by those skilled in the art that the merged image may be a single image with a unique format, or may be a superimposed effect of several images with the same format, and it is within the scope of the present invention to consider the merged image as a whole visually.
FIG. 2 is a block diagram of a method for image synthesis according to an embodiment of the present invention. Referring to fig. 2, the method for image synthesis according to the example of the present invention further includes, before forming the second image after processing the target image:
and S300, preprocessing the first image.
It will be appreciated by those skilled in the art that after the first image is preprocessed, the subsequent steps can be performed more conveniently and quickly, and the occurrence of calculation errors is avoided.
In some embodiments, referring to fig. 3, the step S300 specifically includes:
s310: scaling the first image; and/or cropping the first image.
Specifically, in some embodiments, after the first image is scaled, a portion of the first image that is desired by the user may be determined as the composite base map.
After the first image is cropped in some embodiments, the first image may be resized according to the user's needs and determined to be a composite base map.
In some embodiments, the first image is scaled and cropped before the portion of the first image that is desired by the user is resized to be the composite base map.
In some embodiments, referring to fig. 3, the aforementioned step S300 further includes:
s320: carrying out anti-distortion processing on the first image; and/or noise reduction processing is performed on the first image.
Specifically, in some embodiments, after the distortion prevention processing is performed on the first image, the problem that the first image is distorted due to other operations can be prevented from being processed in time, and the definition and the color saturation of the image can be ensured to meet the user requirements.
In some embodiments, after the first image is subjected to noise reduction processing, the problem that noise is generated on the first image due to other operations can be prevented from being processed in time, and the attributes of the image, such as definition, chroma and the like, can meet the requirements of a user.
In some embodiments, after the first image is subjected to distortion prevention processing and noise reduction processing, the problem that noise and distortion are generated on the first image due to other operations can be prevented from being processed in time, and the definition, the color saturation and other attributes of the image can meet the requirements of users.
In other embodiments, the preprocessing further includes establishing a uniform coordinate system in the first image, so that reference systems for subsequent operations are the same, thereby avoiding the situations that the calculation result is inaccurate and the synthesized image does not meet the requirement due to different reference system selections.
Embodiments of the present invention further provide an apparatus for image synthesis, and in some embodiments, the apparatus includes a module for performing the steps of the image synthesis method in any one of the above embodiments. It will be appreciated by those skilled in the art that the present invention provides the same advantages as those of the above embodiments, and will not be described herein in detail.
An embodiment of the present invention further provides a computer-readable storage medium, on which a computer program 11100 is stored, and the program, when executed by the processor 12000, implements the steps of the method according to any of the foregoing embodiments. The computer-readable storage medium may include, but is not limited to, any type of disk including floppy disks, optical disks, DVD, CD-ROMs, microdrive, and magneto-optical disks, ROMs, RAMs, EPROMs, EEPROMs, DRAMs, VRAMs, flash memory 11000 devices, magnetic or optical cards, nanosystems (including molecular memory 11000 ICs), or any type of media or device suitable for storing instructions and/or data. For a specific implementation process, reference may be made to the specific description of the above method embodiment, which is not described herein again.
An embodiment of the present invention further provides a terminal 10000, which includes a memory 11000, a processor 12000, and a computer program 11100 stored in the memory 11000 and capable of running on the processor 12000. Wherein the processor 12000, when executing the computer program 11100, implements the method of any of the above embodiments.
In some embodiments the processor 12000, when executing the computer program 11100, implements the method of image composition of any of the above embodiments. For a specific implementation process, reference may be made to the specific description of the method embodiment described above, which is not described herein again.
In this embodiment of the present invention, the processor 12000 is a control center of a computer system, and may be the processor 12000 of a physical machine or the processor 12000 of a virtual machine. In the embodiment of the present invention, the memory 11000 stores at least one instruction, and the instruction is loaded and executed by the processor 12000 to implement the method in the embodiments described above.
The terminal in the embodiment of the present invention may include, but is not limited to, a smart phone, a tablet computer, a palmtop computer, a Personal Digital Assistant (PAD), an interactive smart tablet, and other devices having a display function, and augmented reality glasses (or referred to as AR glasses, smart glasses) or other augmented reality devices (or referred to as AR devices), a virtual reality device (or referred to as VR devices), a mobile computer, a smart phone, a smart watch or other wearable devices, a navigation device, or other devices capable of performing an interactive operation with a user.
In another embodiment of the invention, the processor 12000 may include one or more processing cores, such as a 4-core processor 12000, an 8-core processor 12000, or the like. The processor 12000 may be implemented in at least one hardware form of DSP (Digital Signal Processing), FPGA (Field-Programmable Gate Array), PLA (Programmable Logic Array). The processor 12000 may also include a main processor 12000 and a coprocessor 12000, where the main processor 12000 is the processor 12000, also called a CPU (Central Processing Unit, central Processing Unit 12000), for Processing data in the wake-up state; the coprocessor 12000 is a low-power processor 12000 for processing data in a standby state.
The memory 11000 may include one or more computer-readable storage media, which may be non-transitory. Memory 11000 may also include high-speed random access memory 11000 and non-volatile memory 11000, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments of the invention, a non-transitory computer readable storage medium in the memory 11000 is used to store at least one instruction for execution by the processor 12000 to implement a method in embodiments of the invention.
Although the present invention has been described with reference to a preferred embodiment, it should be understood that various changes, substitutions and alterations can be made herein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method of image synthesis, the method comprising the steps of:
acquiring a first image;
acquiring a target image;
acquiring a first calculation point and a second calculation point in the target image; wherein the first calculation point is an indication point, and the second calculation point is a contact point;
acquiring a preset reference point, and respectively calculating the coordinate of the indicating point of the first calculation point and the coordinate of the contact point of the second calculation point according to the reference point; wherein the reference point is a geometric center of the target image;
calculating to obtain target parameters according to the coordinates of the indicating points and the coordinates of the contact points; wherein the target parameter is a deviation between the pointer parameter and the contact point parameter;
modifying the position attribute associated with the target image in accordance with the deviation to form a second image from the modified target image;
merging the second image into the first image.
2. The method of image synthesis according to claim 1, further comprising, before the processing the target image to form a second image:
and preprocessing the first image.
3. The method of image synthesis according to claim 2, wherein the pre-processing the first image comprises:
scaling the first image; and/or
And cutting the first image.
4. The method of image synthesis according to claim 3, wherein the pre-processing the first image further comprises:
carrying out anti-distortion processing on the first image; and/or
And carrying out noise reduction processing on the first image.
5. The method of image synthesis according to claim 1,
and when the first image is rectangular, selecting the intersection point of the diagonals of the first image as a reference point.
6. The method of image synthesis according to claim 1,
the target parameter comprises at least one of the following parameters:
a displacement amount;
rotating the angle;
and (4) scaling.
7. The method of image synthesis according to claim 1,
when the number of the target images is not less than two, before the second image is merged into the first image, the method further includes:
sequencing the target images; or
And carrying out sequencing processing on the second image.
8. An apparatus for image synthesis, the apparatus comprising:
module for performing the steps of the method for image synthesis according to any one of claims 1 to 7.
9. A computer-readable storage medium having stored thereon a computer program, characterized in that,
the program when executed implements a method of image composition as claimed in any one of claims 1 to 7.
10. A terminal comprising a memory, a processor, and a computer program stored on the memory and executable on the processor,
the processor, when executing the computer program, implements a method of image synthesis as claimed in any of claims 1-7.
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| CN105096354A (en) * | 2014-05-05 | 2015-11-25 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN106303225A (en) * | 2016-07-29 | 2017-01-04 | 努比亚技术有限公司 | A kind of image processing method and electronic equipment |
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| CN102324093A (en) * | 2011-09-06 | 2012-01-18 | 清华大学 | Image synthesis method based on grouped object mixing |
| CN105096354A (en) * | 2014-05-05 | 2015-11-25 | 腾讯科技（深圳）有限公司 | Image processing method and device |
| CN106303225A (en) * | 2016-07-29 | 2017-01-04 | 努比亚技术有限公司 | A kind of image processing method and electronic equipment |
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