CN110956589A - Image blurring processing method, device, equipment and storage medium - Google Patents
Image blurring processing method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses an image blurring processing method, which comprises the following steps: identifying a blurred region on the initial image; processing the initial image to obtain an amplified image; processing the amplified image to obtain difference amplified region information and forming a replacement image; the blurred area overlaying the replacement image on the original image forms a new image. The invention also provides an image blurring processing device, processing equipment and a storage medium. The invention processes the image fuzzy area through image zooming and linear difference, has simple algorithm and high image fuzzy processing efficiency, and is beneficial to improving the image processing efficiency on the premise of ensuring the image clearness.
Description
Technical Field
The present invention relates to the field of image processing technologies, and in particular, to an image blur processing method, apparatus, device, and storage medium.
Background
Today, the network application is more and more extensive, and the digital image expression is more intuitive and vivid, and all information in the picture can be clearly conveyed.
However, in the process of playing, the image is easy to generate blur, and the image blur is caused by the distortion of the digital image, and the reason may be the local blur of the electronic image caused by the messy codes, or the local blur of the real image converted into the electronic image caused by image damage, friction, water stain, and the like.
The image module is mainly characterized in that the edge sharpness of the digital image is reduced and the space details are lost, so that the boundary between objects is not obvious, the gray level color change of each object and the digital image cannot be highlighted, certain details are weakened, the image can not be clearly displayed, and the image quality is reduced.
Disclosure of Invention
In view of the above-mentioned deficiencies in the prior art, the present invention provides an image blur processing method, which actually performs restoration processing on an image blur area through image blur processing to improve the picture quality.
The technical scheme adopted by the invention is as follows:
in a first aspect, the present invention provides an image blur processing method, including the steps of:
identifying a blurred region on the initial image;
processing the initial image to obtain an amplified image;
processing the amplified image to obtain difference amplified region information and forming a replacement image;
the blurred area overlaying the replacement image on the original image forms a new image.
In a first possible implementation manner of the first aspect, the processing the initial image to obtain an enlarged image specifically includes:
setting a scale factor, and reducing the initial image according to the scale factor;
and amplifying the reduced initial image through a linear difference algorithm to obtain an amplified image with the same size as the initial image.
In a second possible implementation manner of the first aspect, the processing the enlarged image obtains difference enlarged region information and forms a replacement image; the method specifically comprises the following steps:
identifying a difference amplification area corresponding to the fuzzy area on the amplified image through feature point matching;
acquiring the contrast relation between the difference amplification area and each pixel point on the fuzzy area;
and carrying out weighted average on the fuzzy area and the difference amplification area to obtain a replacement image with the same size as the fuzzy area.
In a third possible implementation manner of the first aspect, the identifying, by feature point matching, a difference enlarged region corresponding to a blurred region on an enlarged image specifically includes:
and overlapping the enlarged image with the original image through matching of at least two feature points, and acquiring a region overlapping with the blurred region on the enlarged image as a difference enlarged region.
In a second aspect, an embodiment of the present invention provides an image blur processing apparatus, including:
a blur area identification unit that identifies a blur area on the initial image;
the amplified image processing unit is used for processing the initial image to obtain an amplified image;
the alternative image processing unit is used for processing the amplified image to obtain the difference amplified region information and form an alternative image;
and the new graphics processing unit is used for overlaying the replacement image on the fuzzy area of the initial image to form a new image.
In a third aspect, an embodiment of the present invention provides an image blur processing apparatus, including a memory, a processor, and a computer program stored in the memory and executable on the processor, where the processor implements the image blur processing method as described above when executing the computer program.
In a fourth aspect, the embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored, where the computer program is executed by a processor to implement the image blur processing method as described above.
The invention has the beneficial effects that:
the method comprises the steps of firstly reducing a fuzzy region of an image to make the blur invisible, thereby eliminating the blur; then, amplifying the image after the blur elimination to the original size through differential amplification, thereby obtaining a differential amplified image with the same size as the original image blur area so as to eliminate the image blur on the premise of ensuring the image size; the image fuzzy area is processed through the image zooming and the linear difference value, the algorithm is simple, the image fuzzy processing efficiency is high, and the image processing efficiency is improved on the premise of ensuring the image clarity.
Drawings
FIG. 1 is a flow chart of an image blur processing method according to the present invention;
fig. 2 is a structural diagram of an image blur processing apparatus according to the present invention.
Detailed Description
The invention provides an image blurring processing method, which comprises the steps of reducing an image blurring area, and then amplifying the image blurring area through a linear difference algorithm to obtain an interpolation amplification area with the same size as the image blurring area; and comparing the image blurring region with the interpolation amplification region through feature point matching, and updating the image blurring region according to the feature values of the mapping points on the difference amplification region and the image blurring region.
The foregoing is the core idea of the present application, and in order to make those skilled in the art better understand the scheme of the present application, the present application will be further described in detail with reference to the accompanying drawings. It should be understood that the specific features in the embodiments and examples of the present application are detailed description of the technical solutions of the present application, and are not limited to the technical solutions of the present application, and the technical features in the embodiments and examples of the present application may be combined with each other without conflict.
Example one
As shown in fig. 1, it is a flowchart of an image blurring processing method proposed by the present invention.
Referring to fig. 1, an image blur processing method includes the steps of:
102, processing an initial image to obtain an amplified image;
103, processing the amplified image to obtain difference amplified region information and forming a replacement image;
and 104, overlaying the replacement image on the fuzzy area of the initial image to form a new image.
In the embodiment of the invention, firstly, the image fuzzy area is reduced to make the fuzzy invisible, thereby eliminating the fuzzy; and then amplifying the image after the blurring is eliminated to the original size through differential value amplification, thereby obtaining a differential value amplified image with the same size as the blurring area of the original image, and eliminating the blurring on the premise of ensuring the size of the image.
In step 102, the processing the initial image to obtain an enlarged image specifically includes:
setting a scale factor, and reducing the initial image according to the scale factor;
and amplifying the reduced initial image through a linear difference algorithm to obtain an amplified image with the same size as the initial image.
And setting a scale factor, and reducing the initial image according to the scale factor until the image is blurred and invisible. In the present embodiment, when the original image is reduced, the scaling factor used for the length and width of the original image is the same.
And amplifying the reduced initial image through a linear difference algorithm to obtain an amplified image with the same size as the initial image. In the step, the image is amplified through a linear difference algorithm, so that the distortion rate of the image is reduced, and the definition of the amplified image is ensured.
In the embodiment of the invention, the image fuzzy area is processed through image scaling and linear difference, the algorithm is simple, the image fuzzy processing efficiency is high, and the image processing efficiency is improved on the premise of ensuring the image clearness.
In step 103, processing the amplified image to obtain difference amplified region information and forming a replacement image; the method specifically comprises the following steps:
identifying a difference amplification area corresponding to the fuzzy area on the amplified image through feature point matching;
acquiring the contrast relation between the difference amplification area and each pixel point on the fuzzy area;
and carrying out weighted average on the fuzzy area and the difference amplification area to obtain a replacement image with the same size as the fuzzy area.
The identifying of the difference amplification area corresponding to the fuzzy area on the amplified image through feature point matching specifically includes:
and overlapping the enlarged image with the original image through matching of at least two feature points, and acquiring a region overlapping with the blurred region on the enlarged image as a difference enlarged region.
Specifically, the enlarged image is overlapped with the original image through feature point matching, and a region overlapping with the blurred region on the enlarged image is acquired as a difference enlarged region. Therefore, the overlap ratio of the obtained difference amplification area and the fuzzy area is ensured through image overlapping, and the problem of image size incompatibility is avoided.
In the embodiment of the invention, the characteristic value of each pixel point on the replacement image is obtained according to the following model:
wherein, a (xn, yn) is a characteristic value of a pixel point (xn, yn) on the original image, B (xn, yn) is a characteristic value of a pixel point (xn, yn) on the enlarged image, C (xn, yn) is a characteristic value of a pixel point (xn, yn) on the replacement image, and e0 and f0 are both calculation constants.
In the embodiment of the invention, the characteristic value of each pixel point on the replacement image refers to the fuzzy region and the difference amplification region at the same time, the difference amplification region is referred, the definition of the replacement image is ensured, the fuzzy region is referred, and the consistency degree of the replacement image and the original image is further ensured.
In the embodiment of the invention, in order to avoid the blurring of the replacement image, e0 < f 0.
In the embodiment of the invention, at least two or three characteristic points are selected in the process of overlapping the amplified image and the original image so as to avoid the deflection of the amplified image relative to the original image.
Example two
Based on the same inventive concept as the image blurring processing method in the foregoing embodiment, the present invention also provides an image blurring processing device based on feature matching and weighted average.
Referring to fig. 2, a structure diagram of an image blur processing apparatus according to the present invention is shown.
As shown in fig. 2, an image blur processing apparatus includes:
a blur area identification unit 201 that identifies a blur area on the initial image;
an enlarged image processing unit 202 that processes the initial image to obtain an enlarged image;
a replacement image processing unit 203 for processing the enlarged image to obtain the difference enlarged region information and forming a replacement image;
and the new graphics processing unit 204 overlays the replacement image on the blurred area of the initial image to form a new image.
Various changes and specific examples of an image blurring processing method in the first embodiment are also applicable to an image blurring processing method in the present embodiment, and a person skilled in the art can clearly know an image blurring processing method in the present embodiment through the foregoing detailed description of an image blurring processing method, so that details are not described here for the sake of brevity of the description.
EXAMPLE III
An image blur processing device based on feature matching and weighted averaging, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements an image blur processing method as described when executing the computer program.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, the processor being the control center for the one image blurring method, with various interfaces and lines connecting the various parts of the entire one image blurring method.
The memory can be used for storing the computer program and/or the module, and the processor can realize various functions of the video structuring storage device based on edge computing by operating or executing the computer program and/or the module stored in the memory and calling the data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, a text conversion function, etc.), and the like; the storage data area may store data (such as audio data, text message data, etc.) created according to the use of the cellular phone, etc. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
Example four
A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out an image blur processing method as described.
Wherein, the module integrated by the image blurring processing method can be stored in a computer readable storage medium if the module is implemented in the form of a software functional unit and sold or used as a stand-alone product. Based on such understanding, all or part of the flow of the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium, and when the computer program is executed by a processor, the steps of the method embodiments may be implemented. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
The above examples are typical examples of the present invention, but the embodiments of the present invention are not limited to the above examples. Other changes, modifications, substitutions, combinations, and simplifications which do not depart from the spirit and principles of the invention are intended to be included within the scope of the invention.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and a person of ordinary skill in the art can make modifications or equivalents to the specific embodiments of the present invention with reference to the above embodiments, and such modifications or equivalents without departing from the spirit and scope of the present invention are within the scope of the claims of the present invention as set forth in the claims.
Claims (7)
1. An image blur processing method is characterized by comprising the following steps:
identifying a blurred region on the initial image;
processing the initial image to obtain an amplified image;
processing the amplified image to obtain difference amplified region information and forming a replacement image;
the blurred area overlaying the replacement image on the original image forms a new image.
2. The method according to claim 1, wherein the processing the initial image to obtain the enlarged image specifically comprises:
setting a scale factor, and reducing the initial image according to the scale factor;
and amplifying the reduced initial image through a linear difference algorithm to obtain an amplified image with the same size as the initial image.
3. The method according to claim 1, wherein the processing of the magnified image obtains difference magnified region information and forms a replacement image; the method specifically comprises the following steps:
identifying a difference amplification area corresponding to the fuzzy area on the amplified image through feature point matching;
acquiring the contrast relation between the difference amplification area and each pixel point on the fuzzy area;
and carrying out weighted average on the fuzzy area and the difference amplification area to obtain a replacement image with the same size as the fuzzy area.
4. The method according to claim 3, wherein the identifying of the difference enlarged region corresponding to the blurred region on the enlarged image through feature point matching specifically comprises:
and overlapping the enlarged image with the original image through matching of at least two feature points, and acquiring a region overlapping with the blurred region on the enlarged image as a difference enlarged region.
5. An image blur processing apparatus characterized by comprising:
a blur area identification unit that identifies a blur area on the initial image;
the amplified image processing unit is used for processing the initial image to obtain an amplified image;
the alternative image processing unit is used for processing the amplified image to obtain the difference amplified region information and form an alternative image;
and the new graphics processing unit is used for overlaying the replacement image on the fuzzy area of the initial image to form a new image.
6. An image blur processing device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements an image blur processing method according to claims 1-4 when executing the computer program.
7. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out an image blur processing method according to claims 1-4.
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