CN109636731B - Image smear elimination method, electronic device and storage medium - Google Patents
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Abstract
The application discloses a method for eliminating image smear, electronic equipment and a storage medium, wherein the method comprises the steps of acquiring a smear region in a first image and a target region corresponding to the smear region; moving the smear image in the smear area to a target area, wherein the target area is provided with a target image; and superposing the smear image and the target image, and processing the superposed image to eliminate the smear image in the first image to obtain a second image. By means of the method, the image processing device and the image processing method, the smear in the image can be eliminated, and the image quality is improved.
Description
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a method for eliminating image smear, an electronic device, and a storage medium.
Background
In the existing digital photography or video shooting, images are collected by a CMOS (Complementary Metal Oxide Semiconductor) or CCD (Charge Coupled Device) sensor, and then are presented on a screen after appropriate data processing; however, when photographing is performed by using a photographing and image capturing apparatus, a problem of smear due to movement of an object may occur to affect a photographing effect, and thus it is necessary to eliminate the smear generated in an image.
Disclosure of Invention
The present application mainly solves the problem of providing an image smear removal method, an electronic device, and a storage medium, which can remove a smear in an image and improve image quality.
In order to solve the above technical problem, a technical solution adopted by the present application is to provide a method for eliminating image smear, including: acquiring a smear region and a target region corresponding to the smear region in a first image; moving the smear image in the smear area to a target area, wherein the target area is provided with a target image; and superposing the smear image and the target image, and processing the superposed image to eliminate the smear image in the first image to obtain a second image.
In order to solve the above technical problem, another technical solution adopted by the present application is to provide an electronic device, including: a memory and a processor connected to each other, the memory being used for storing a computer program, the computer program, when being executed by the processor, being used for implementing the above-mentioned method for eliminating image smear.
In order to solve the above technical problem, another technical solution adopted by the present application is to provide a storage medium for storing a computer program, wherein the computer program is used for implementing the above image smear removal method when being executed by a processor.
Through the scheme, the beneficial effects of the application are that: firstly, acquiring a smear region and a target region corresponding to the smear region in a first image; then moving the smear image in the smear area to a target area where the target image is located; and then, the smear image and the target image are superposed, and the superposed image is processed to eliminate the smear image in the first image to obtain a second image without smear, so that the smear in the image can be eliminated, and the image quality is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only 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. Wherein:
FIG. 1 is a flowchart illustrating an embodiment of a method for eliminating image smear provided in the present application;
FIG. 2 is a schematic diagram of a first image in an embodiment of a method for removing smear in an image provided by the present application;
FIG. 3 is a schematic diagram illustrating an image after moving a smear image according to an embodiment of the method for removing an image smear provided by the present application;
FIG. 4 is a schematic flowchart of another embodiment of a method for eliminating image smear provided in the present application;
FIG. 5 is a schematic flow chart diagram illustrating a method for eliminating image smear according to another embodiment of the present disclosure;
FIG. 6 is a schematic diagram of pixel values of a smear image and a third image in a further embodiment of the method for removing image smear provided by the present application;
FIG. 7 is a diagram of a background region and a smear region in another embodiment of the image smear removal method provided in the present application;
FIG. 8 is a schematic diagram of a distance and an azimuth angle between a smear image and a target area in a further embodiment of the image smear removal method provided by the present application;
FIG. 9 is a schematic structural diagram of an embodiment of an electronic device provided in the present application;
fig. 10 is a schematic structural diagram of an embodiment of a storage medium provided in the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all the embodiments. 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 application.
Referring to fig. 1, fig. 1 is a schematic flowchart of an embodiment of a method for eliminating image smear provided in the present application, where the method includes:
step 11: a smear region and a target region corresponding to the smear region in the first image are acquired.
When the first image has the smear image, in order to eliminate the smear image so as to prevent the smear image from interfering with the first image, a smear region in the first image and a target region corresponding to the smear region may be obtained first, the smear region having the smear image, and the smear image covering a portion of the non-target image.
Step 12: and moving the smear image positioned in the smear area to a target area, wherein the target area is provided with a target image.
In order to eliminate the smear image, the smear image located in the smear region may be moved to a target region where the target image is located.
Step 13: and superposing the smear image and the target image, and processing the superposed image to eliminate the smear image in the first image to obtain a second image.
And moving the smear image in the smear region to a target region, overlapping the pixel value of the smear image and the pixel value of the target image, and processing the overlapped image so as to eliminate the smear image in the first image and obtain a second image without smear.
For example, as shown in fig. 2 and 3, the smear image a covers a part of the non-target image (i.e., the background image C), the smear image a is moved to the target area where the target image B is located, so that the smear image a and the target image B are superimposed to form an image D, and then the image D is processed to eliminate the smear image a.
In addition, in order to move the smear image toward the target area, the smear image may be divided into a plurality of images to be moved, and the smear may be divided into a plurality of smaller images by rows or columns and then moved.
Different from the prior art, the embodiment provides a method for eliminating image smear, which includes the steps of firstly, acquiring a smear region and a target region corresponding to the smear region in a first image; then moving the smear image in the smear area to a target area where the target image is located; and then, the smear image and the target image are superposed, and the superposed image is processed to eliminate the smear image in the first image to obtain a second image without smear, so that the smear in the image can be eliminated, and the image quality is improved.
Referring to fig. 4, fig. 4 is a schematic flowchart of another embodiment of a method for eliminating image smear provided in the present application, where the method includes:
step 41: a smear region and a target region corresponding to the smear region in the first image are acquired.
Step 42: and moving the smear image positioned in the smear area to a target area, wherein the target area is provided with a target image.
The pixel value of the smear image is the same as the pixel value of the target image, and the shape and size of the smear image are the same as those of the target image.
Step 43: the displacement between the smear region and the target region is acquired.
In order to move the smear image to the target area where the target image is located, the displacement between the smear area and the target area may be acquired.
Step 44: and moving the smear image into the target area according to the displacement.
The smear image may be moved from the smear region to the target region according to a displacement value between the smear region and the target region.
Step 45: and superposing the smear image and the target image, and acquiring the pixel value of the superposed image.
And correspondingly superposing the pixel value of the target image and the pixel value of the smear image, thereby obtaining the pixel value of the superposed image.
Step 46: and subtracting the pixel value of the smear image from the pixel value of the superposed image so as to eliminate the smear image moved to the target area, thereby obtaining a second image.
And subtracting the pixel value of the smear image from the pixel value of the image after the target area is superposed, so that the smear image moved to the target area can be eliminated, and a second image without smear is obtained.
Different from the prior art, the embodiment provides an image smear elimination method, which includes acquiring displacements of a smear region and a target region in a first image; moving the smear image positioned in the smear region to a target region according to the displacement value; and then, superposing the smear image and the target image, acquiring the pixel value of the superposed image, and eliminating the smear image from the superposed image, thereby obtaining a second image without smear, realizing elimination of smear in the image and improving the image quality.
Referring to fig. 5, fig. 5 is a schematic flowchart of a method for eliminating image smear according to another embodiment of the present application, where the method includes:
step 51: and comparing the first image with the third image to obtain the pixel value of the smear image and the target area.
To obtain pixel values of the smear image, the pixel values of the first image and the third image may be subtracted to obtain pixel values of the smear image; wherein the third image is a smear-free image; since the third image is a smear-free image, the pixel value of the smear image can be obtained by correspondingly subtracting the pixel value of the third image from the pixel value of the first image, and the area where the smear image is located forms a smear area.
The pixel value of the smear image is the same as that of the target image, and the shape and the size of the smear image are the same as those of the target image.
After the pixel value of the smear image is obtained, the target area can be obtained by comparing the smear image with the third image; specifically, the pixel value of the smear image and the pixel value of the third image may be subjected to traversal search and matching, so that the target region where the target image is located may be obtained.
For example, as shown in fig. 6, the first image is processed so that the pixel value of the first image except the smear region a is the pixel value of the smear image, the pixel values of other regions are all 0, then each pixel value of the smear region a is matched with each pixel value of the third image, the first pixel value a5 in the smear region a is matched with each pixel value of the third image, the position of the same pixel value as the pixel value a5 in the third image is recorded, the next pixel value a6 in the smear region a is matched with the next pixel value of the marked position in the third image, and the operation is repeatedly performed, so that the target region B can be detected.
Step 52: and subtracting the pixel value of the smear image from the pixel value of the image in the smear area to obtain the pixel value of the background image, and storing the pixel value of the background image.
Wherein, the background image is an image covered by the smear image.
After the pixel value of the smear image is acquired, in order to restore the background image covered by the smear image, the pixel value of the background image may be obtained by subtracting the pixel value of the smear image from the pixel value of the image located in the smear region, and the pixel value of the background image may be stored.
For example, as shown in fig. 7, the smear image is located in the smear region a, the pixel value of the smear image and the pixel value of the background image are superimposed in the background region B, and the pixel value of the background region B and the pixel value of the smear image may be subtracted to obtain the pixel value of the background image in order to eliminate the smear in the background region B.
Step 53: and acquiring the distance and the azimuth angle between the smear image and the target image.
After the pixel values of the background image are acquired, since the smear image located in the smear region is to be moved to the target region, the distance and the azimuth angle between the smear image and the target image may be acquired first.
Step 54: the smear image is moved a distance in the direction of the azimuth angle so that the smear image moves into the target area.
After the distance and the azimuth angle between the smear image and the target image are acquired, the smear image is moved along the direction of the azimuth angle for the acquired distance, and the smear image is removed from the smear area, specifically, the background image is restored according to the pixel values of the background image, that is, the background area is filled with the stored pixel values of the background image to restore the background image.
For example, as shown in fig. 8, by moving the smear image a along the direction angle α by the distance L, the smear image a can be moved to the target area B while the pixel values of the background area covered by the smear image a are set as the pixel values of the stored background image.
Step 55: and superposing the smear image and the target image to obtain the pixel value of the superposed image.
Step 56: and subtracting the pixel value of the smear image from the pixel value of the superposed image so as to eliminate the smear image moved to the target area, thereby obtaining a second image.
After the smear image is moved along the direction angle to obtain a long distance, moving the smear image to a target area, superposing the smear image and the target image, and obtaining a pixel value of the superposed image; in order to eliminate the smear image of the target area, the pixel value of the smear image may be subtracted from the pixel value of the superimposed image to obtain a second image without smear, and the smear image in the first image is eliminated.
When a camera is used for shooting, a smear image may be generated, light rays enter the camera from a lens, the CCD performs color filtering and light sensing, a shot object is decomposed into a plurality of pixel points according to a certain arrangement mode, the pixel points are transferred to an analog-to-digital converter in the form of analog image signals, converted into digital signals, transmitted to an image processor, processed into a real image, and then compressed and stored in a storage medium; in order to prevent stroboflash during photographing, when the smear image is moved, a method of decreasing the pixel value may be adopted, and the pixel value of the smear image is gradually decreased in the process of moving the smear image toward the target area along the direction angle, so as to prevent screen flash caused by suddenly removing the smear image.
Different from the prior art, the embodiment provides an image smear elimination method, which includes acquiring a distance and a direction angle between a smear region and a target region in a first image; moving the smear image positioned in the smear area to a target area according to the distance length and the direction angle; and then, superposing the smear image and the target image, acquiring the pixel value of the superposed image, and eliminating the smear image from the superposed image, thereby obtaining a second image without smear, realizing elimination of smear in the image and improving the image quality.
Referring to fig. 9, fig. 9 is a schematic structural diagram of an embodiment of an electronic device 90 provided in the present application, where the electronic device includes: a memory 91 and a processor 92 connected to each other, the memory 91 being used for storing a computer program, which when executed by the processor 92, is used for implementing the method for eliminating image smear in the above-described embodiment.
Referring to fig. 10, a schematic structural diagram of an embodiment of a storage medium provided in the present application is shown, where the storage medium 100 is used to store a computer program 101, and the computer program 101 is used to implement the method for eliminating image smear in the foregoing embodiment when being executed by a processor.
The storage medium 100 may be a server, a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In the several embodiments provided in the present application, it should be understood that the disclosed method and apparatus may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of modules or units is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The above embodiments are merely examples, and not intended to limit the scope of the present application, and all modifications, equivalents, and flow charts using the contents of the specification and drawings of the present application, or those directly or indirectly applied to other related arts, are included in the scope of the present application.
Claims (5)
1. A method for eliminating image smear, comprising:
the method comprises the steps of obtaining a pixel value of a smear image by subtracting the pixel value of a first image and the pixel value of a third image, wherein the third image is an image without smear;
traversing, searching and matching the pixel value of the smear image and the pixel value of the third image to obtain a target area, wherein the target area is the area where the target image is located, the pixel value of the smear image is the same as the pixel value of the target image, and the shape and the size of the smear image are the same as those of the target image;
subtracting the pixel value of the smear image from the pixel value of the image in the smear region to obtain the pixel value of a background image, and storing the pixel value of the background image, wherein the background image is an image covered by the smear image;
acquiring the distance and the azimuth angle between the smear image and the target image;
moving the smear image a distance in the direction of the azimuth angle such that the smear image moves into the target area;
and superposing the smear image and the target image, acquiring a pixel value of the superposed image, and subtracting the pixel value of the smear image from the pixel value of the superposed image to eliminate the smear image in the first image to obtain a second image.
2. The method of eliminating image smear according to claim 1,
before the step of superimposing the smear image and the target image, the method includes:
acquiring displacement between the smear region and the target region;
and moving the smear image into the target area according to the displacement.
3. The method of eliminating image smear according to claim 1, further comprising:
and restoring the background image according to the pixel value of the background image.
4. An electronic device, comprising a memory and a processor connected to each other, the memory being configured to store a computer program, which, when executed by the processor, is configured to implement the method of eliminating image smear of any one of claims 1-3.
5. A storage medium storing a computer program for implementing the method of eliminating image smear according to any one of claims 1 to 3 when the computer program is executed by a processor.
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| CN110166710A (en) * | 2019-06-21 | 2019-08-23 | 上海闻泰电子科技有限公司 | Image composition method, device, equipment and medium |
| CN112487946A (en) * | 2020-11-26 | 2021-03-12 | 努比亚技术有限公司 | Human body moving target removing method and device, mobile terminal and storage medium |
| US11704777B2 (en) | 2021-08-27 | 2023-07-18 | Raytheon Company | Arbitrary motion smear modeling and removal |
| CN114923629A (en) * | 2022-04-29 | 2022-08-19 | 海门市苏洋机械制造有限公司 | Method for detecting vibration amplitude of spinning high-speed spindle during rotation |
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| JP4106874B2 (en) * | 2001-02-05 | 2008-06-25 | ソニー株式会社 | Image processing apparatus and method, and recording medium |
| JP4561845B2 (en) * | 2008-02-29 | 2010-10-13 | カシオ計算機株式会社 | Imaging apparatus and image processing program |
| US8508606B2 (en) * | 2009-11-20 | 2013-08-13 | Hon Hai Precision Industry Co., Ltd. | System and method for deblurring motion blurred images |
| CN102629969A (en) * | 2012-03-30 | 2012-08-08 | 邓晓波 | Smear eliminating method during shooting of plane objects |
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| CN104182940A (en) * | 2014-08-20 | 2014-12-03 | 苏州阔地网络科技有限公司 | Blurred image restoration method and system |
| CN105389780A (en) * | 2015-10-28 | 2016-03-09 | 维沃移动通信有限公司 | Image processing method and mobile terminal |
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