CN105430237B - A kind of processing method and system of frame missing image - Google Patents
A kind of processing method and system of frame missing image Download PDFInfo
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- CN105430237B CN105430237B CN201510837951.9A CN201510837951A CN105430237B CN 105430237 B CN105430237 B CN 105430237B CN 201510837951 A CN201510837951 A CN 201510837951A CN 105430237 B CN105430237 B CN 105430237B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
- H04N23/81—Camera processing pipelines; Components thereof for suppressing or minimising disturbance in the image signal generation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/44—Receiver circuitry for the reception of television signals according to analogue transmission standards
- H04N5/4448—Receiver circuitry for the reception of television signals according to analogue transmission standards for frame-grabbing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
- H04N5/915—Television signal processing therefor for field- or frame-skip recording or reproducing
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- Television Signal Processing For Recording (AREA)
Abstract
The present invention discloses the processing method and system of a kind of frame missing image, wherein, method comprising steps of A, when user start camera carry out preview or video recording when, obtain each frame image that camera senses, when there is a frame or continuous several frame images missing, obtain the second data of a later frame image of a frame or continuously the first data of the previous frame image of several frame images and a frame or continuous several frame images；B, according to the frame number of missing, the frame lacked or several frame images are mended out by first data and the second data.The present invention mends out the frame lacked or continuous several frame images by the second data after the first data and frame missing before being lacked by frame, to solve the problems, such as occur contingency frame data missing when user carries out preview, video recording using camera in the prior art, the Caton sense of image is eliminated.
Description
Technical field
The present invention relates to mobile terminal application field more particularly to a kind of processing methods and system of frame missing image.
Background technique
Current camera (such as camera, video camera) has been one of higher function of frequency of use in mobile terminal, is made
When with camera, (such as signal interference, Image Acquisition are unsuccessfully) will appear the case where contingency frame data lack due to various reasons；
When contingency frame data missing, continuous image will generate Caton sense originally, influence user experience, in the prior art still
The scheme of problems is not solved, therefore the existing technology needs further improvement.
Summary of the invention
In view of above-mentioned deficiencies of the prior art, the purpose of the present invention is to provide a kind of processing method of frame missing image and
System, it is intended to solve the problems, such as that frame lacks camera in use in the prior art.
Technical scheme is as follows:
A kind of processing method of frame missing image, wherein comprising steps of
A, when user, which starts camera, carries out preview or video recording, each frame image that camera senses is obtained, when appearance one
When frame or continuous several frame images missing, the first data of the previous frame image of a frame or continuous several frame images are obtained,
And the second data of a later frame image of a frame or continuous several frame images；
B, according to the frame number of missing, the frame lacked or several frame figures are mended out by first data and the second data
Picture.
The processing method of the frame missing image, wherein each frame image is divided into x*y pixel, wherein x, y
It is positive integer.
The processing method of the frame missing image, wherein when the image of missing is continuous N frame, then the company that is lacked
The data of M frame image in continuous N frame image, the data for the pixel that the i-th row, jth arrange are RGB (i, j)+M*(RGB '
(i, j)-RGB (i, j))/(N+1), wherein RGB (i, j) be the first data in the i-th row, jth column pixel data,
RGB ' (i, j) is the data for the pixel that the i-th row, jth arrange in the second data, and i is the nature more than or equal to 1 and less than or equal to x
Number, j are the natural number more than or equal to 1 and less than or equal to y.
The processing method of the frame missing image, wherein when the image of missing is a frame, then the frame figure that is lacked
The data of picture, the data for the pixel that the i-th row, jth arrange are RGB (i, j)+(RGB ' (i, j)-RGB (i, j))/2, wherein
RGB (i, j) is the data for the pixel that the i-th row, jth arrange in the first data, and RGB ' (i, j) is the i-th row, jth in the second data
The data of the pixel of column, i are more than or equal to 1 and to be less than or equal to the natural number of x, j be more than or equal to 1 and less than or equal to y from
So number.
The processing method of the frame missing image, wherein the step A, when detect camera issue a frame synchronization
Signal, but do not receive camera induction image when, then determine lack a frame image；When continuous n times detect that camera issues frame
Synchronization signal, but do not receive camera induction image when, then be judged to lacking continuous N frame image, wherein the N is positive whole
Number.
A kind of processing system of frame missing image, wherein include:
Module is obtained, for obtaining each frame figure that camera senses when user starts camera progress preview or video recording
Picture obtains the previous frame image of a frame or continuous several frame images when there is a frame or continuous several frame images missing
The first data and a frame or continuous several frame images a later frame image the second data；
Compensating module mends out the frame lacked by first data and the second data for the frame number according to missing
Or several frame images.
The processing system of the frame missing image, wherein each frame image is divided into x*y pixel, wherein x, y
It is positive integer.
The processing system of the frame missing image, wherein in the compensating module, when the image of missing is continuous N frame
When, then the data of the M frame image in continuous N frame image lacked, the data for the pixel that the i-th row, jth arrange are RGB
(i, j)+M*(RGB ' (i, j)-RGB (i, j))/(N+1), wherein RGB (i, j) is the i-th row in the first data, jth column
The data of pixel, RGB ' (i, j) are the data for the pixel that the i-th row, jth arrange in the second data, and i is more than or equal to 1 and small
In the natural number for being equal to x, j is the natural number more than or equal to 1 and less than or equal to y.
The processing system of the frame missing image, wherein in the compensating module, when the image of missing is a frame,
The data of the frame image then lacked, the data for the pixel that the i-th row, jth arrange are RGB (i, j)+(RGB ' (i, j)-
RGB (i, j))/2, wherein RGB (i, j) be the i-th row in the first data, jth column pixel data, RGB ' (i, j) is the
I-th row in two data, jth column pixel data, i is more than or equal to 1 and to be less than or equal to the natural number of x, j be more than or equal to
1 and be less than or equal to y natural number.
The processing system of the frame missing image, wherein in the acquisition module, when detect camera issue a frame
Synchronization signal, but do not receive camera induction image when, then determine lack a frame image；When continuous n times detect that camera is sent out
Frame synchronizing signal out, but when not receiving the image of camera induction, then it is judged to lacking continuous N frame image, wherein the N is
Positive integer.
It is lacked the utility model has the advantages that the present invention is mended out by the second data after the first data and frame missing before being lacked by frame
A frame or continuous several frame images, to solve the appearance when user carries out preview, video recording using camera in the prior art
The problem of contingency frame data lack, eliminates the Caton sense of image, improves user experience.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the processing method preferred embodiment of frame missing image of the present invention.
Fig. 2 is the distribution schematic diagram of each pixel of the first data.
Fig. 3 is the distribution schematic diagram of each pixel of the second data.
Fig. 4 is image data transmission time sequence figure in the present invention.
Fig. 5 is a kind of structural block diagram of the processing system preferred embodiment of frame missing image of the present invention.
Specific embodiment
The present invention provides the processing method and system of a kind of frame missing image, for make the purpose of the present invention, technical solution and
Effect is clearer, clear, and the present invention is described in more detail below.It should be appreciated that specific embodiment described herein
It is only used to explain the present invention, be not intended to limit the present invention.
Referring to Fig. 1, Fig. 1 is a kind of flow chart of the processing method preferred embodiment of frame missing image of the present invention, such as scheme
It is shown comprising step:
S101, when user starts camera and carries out preview or video recording, obtain each frame image for sensing of camera, work as appearance
When one frame or continuous several frame images missing, the first number of the previous frame image of a frame or continuous several frame images is obtained
According to and a frame or continuous several frame images a later frame image the second data；
S102, the frame number according to missing are mended out the frame or several frames lacked by first data and the second data
Image.
In the embodiment of the present invention, by obtaining the first data of a frame of missing or the previous frame image of continuous several frames,
And the second data of a later frame image, the frame lacked or several frame images are mended out according to these data, by this hair
Bright scheme can solve the problems, such as occur contingency frame data missing when carrying out preview or video recording using camera, eliminate image
Caton sense, promote the usage experience of user.
Further, each frame image is divided into x*y pixel, and wherein x, y are positive integer.For in the first data
The data of i-th row, the pixel of jth column are expressed as RGB (i, j), as shown in Figure 2；I-th row in second data, jth are arranged
The data of pixel are expressed as RGB ' (i, j), as shown in Figure 3；Wherein, i is the natural number more than or equal to 1 and less than or equal to x, j
For the natural number more than or equal to 1 and less than or equal to y.
Further, it when the image of missing is continuous N frame, then can obtain being lacked according to the first data and the second data
Continuous N frame image in M frame image data, wherein N be positive integer, M be more than or equal to 1 and be less than or equal to N nature
Number.
Specifically, the data of the M frame image in continuous N frame image lacked, the pixel of the i-th row, jth column
Data be RGB (i, j)+M*(RGB ' (i, j)-RGB (i, j))/(N+1), wherein RGB (i, j) is the in the first data
The data for the pixel that i row, jth arrange, RGB ' (i, j) are the data for the pixel that the i-th row, jth arrange in the second data, and i is big
In being equal to 1 and the natural number less than or equal to x, j is the natural number more than or equal to 1 and less than or equal to y.
For example, when continuous 5 frame image missing, wherein the number for the pixel that the i-th row of previous frame image of missing, jth arrange
Data according to the pixel arranged for RGB (i, j), the i-th row of the 1st frame image of missing, jth are RGB (i, j)+1*(RGB '
(i, j)-RGB (i, j))/6, the i-th row of the 2nd frame image of missing, the data of the pixel of jth column are RGB (i, j)+2*
(RGB ' (i, j)-RGB (i, j))/6, the i-th row of the 3rd frame image of missing, the data of the pixel of jth column are RGB (i, j)
+ 3*(RGB ' (i, j)-RGB (i, j))/6, the i-th row of the 4th frame image of missing, the data of the pixel of jth column are RGB
(i, j)+4*(RGB ' (i, j)-RGB (i, j))/6, the data for the pixel that the i-th row of the 5th frame image of missing, jth arrange
For RGB (i, j)+5*(RGB ' (i, j)-RGB (i, j))/6, the i-th row of a later frame image of missing, the jth pixel arranged
Data are RGB ' (i, j), the data even variation of such consecutive frame image, so Caton sense will not be generated, and image change
It is more smooth.In the present invention, by pixel RGB (i, j) and the i-th row, jth in the second data of the i-th row, jth column in the first data
N parts are divided between the pixel RGB ' (i, j) of column, every part is RGB ' ', then the first frame image in N frame lacked
I-th row, jth column the data of pixel be RGB (i, j)+RGB ' ' (i, j), i-th of the second frame image in the N frame lacked
The data of the pixel of row jth column are RGB (i, j)+2*RGB ' ' (i, j) ... ..., the M frame image in N frame lacked
The point data of the pixel of i-th row jth column is RGB (i, j)+M*RGB ' ' (i, j) ... ..., the nth frame image in N frame lacked
The i-th row jth column pixel data be RGB (i, j)+N*RGB ' ' (i, j)；In addition, it is noted that the second data
In the i-th row jth column pixel data be RGB ' (i, j)=RGB (i, j)+(N+1) * RGB ' ' (i, j).
When the image of missing is a frame, then the data of the frame image lacked, the pixel that the i-th row, jth arrange
Data are RGB (i, j)+(RGB ' (i, j)-RGB (i, j))/2, wherein RGB (i, j) is the i-th row in the first data, jth column
Pixel data, RGB ' (i, j) be the second data in the i-th row, jth column pixel data, i be more than or equal to 1 and
Natural number less than or equal to x, j are the natural number more than or equal to 1 and less than or equal to y.
The detection method of frame missing is as follows: when detecting that camera issues a frame synchronizing signal, but not receiving camera sense
When the image answered, then determine to lack a frame image；When continuous n times detect that camera issues frame synchronizing signal, but phase is not received
When the image of machine induction, then it is judged to lacking continuous N frame image, wherein the N is positive integer.
Referring to Fig. 4, it is the image data transmission time sequence schematic diagram in the present invention, start to send a frame figure when mutually confidential
When as data to central processing unit (central processing unit of mobile terminal), generating a frame synchronizing signal first, (A refers to frame in Fig. 4
Synchronous signal line) and notice central processing unit (it is a high level pulse in Fig. 4 to indicate to generate a frame synchronizing signal, it can also
To be other form, indicate to generate a frame synchronizing signal such as a low level pulse), when central processing unit receives frame
It will start to receive a new frame image data (such as B1 or B2 in Fig. 4) when synchronization signal, and when there is contingency frame missing,
Central processing unit will not receive corresponding image data, so when detecting camera one frame synchronizing signal of sending, but not
When receiving a frame image data of camera generation, illustrate to have lacked a frame image, the case where when consecutive miss multiple image
With it is upper similar, i.e., ought detect that camera issues continuous N number of frame synchronizing signal, but do not receive the continuous N frame image of camera generation
When data, illustrate to have lacked continuous N frame image.
Based on the above method, the present invention also provides a kind of processing system preferred embodiments of frame missing image, such as Fig. 5 institute
Show comprising:
Module 100 is obtained, for obtaining each frame that camera senses when user starts camera progress preview or video recording
Image obtains the former frame figure of a frame or continuous several frame images when there is a frame or continuous several frame images missing
Second data of a later frame image of the first data of picture and a frame or continuous several frame images；
Compensating module 200 mends out lacked one by first data and the second data for the frame number according to missing
Frame or several frame images.
Further, each frame image is divided into x*y pixel, and wherein x, y are positive integer.
Further, in the compensating module, when the image of missing is continuous N frame, then in the continuous N frame image that is lacked
M frame image data, the i-th row, jth column pixel data be RGB (i, j)+M*(RGB ' (i, j)-RGB
(i, j))/(N+1), wherein RGB (i, j) be the i-th row in the first data, jth column pixel data, RGB ' (i, j) is
I-th row in second data, jth column pixel data, i is more than or equal to 1 and to be less than or equal to the natural number of x, j be greater than etc.
In 1 and be less than or equal to y natural number.
Further, in the compensating module, when the image of missing is a frame, then the data of the frame image lacked,
The data for the pixel that its i-th row, jth arrange are RGB (i, j)+(RGB ' (i, j)-RGB (i, j))/2, wherein RGB (i, j)
For the data for the pixel that the i-th row, jth arrange in the first data, RGB ' (i, j) is the pixel of the i-th row in the second data, jth column
The data of point, i are the natural number more than or equal to 1 and less than or equal to x, and j is the natural number more than or equal to 1 and less than or equal to y.
Further, in the acquisition module, when detecting that camera issues a frame synchronizing signal, but camera sense is not received
When the image answered, then determine to lack a frame image；When continuous n times detect that camera issues frame synchronizing signal, but phase is not received
When the image of machine induction, then it is judged to lacking continuous N frame image, wherein the N is positive integer.
It has been described in detail in the method for technical detail in front about above-mentioned module, so it will not be repeated.
It is lacked in conclusion the present invention is mended out by the second data after the first data and frame missing before being lacked by frame
A frame or continuous several frame images, to solve the appearance when user carries out preview, video recording using camera in the prior art
The problem of contingency frame data lack, eliminates the Caton sense of image, improves user experience.
It should be understood that the application of the present invention is not limited to the above for those of ordinary skills can
With improvement or transformation based on the above description, all these modifications and variations all should belong to the guarantor of appended claims of the present invention
Protect range.
Claims (6)
1. a kind of processing method of frame missing image, which is characterized in that comprising steps of
A, when user, which starts camera, carries out preview or video recording, obtain each frame image for sensing of camera, when occur a frame or
When continuous several frame images missing, the first data and the institute of the previous frame image of a frame or continuous several frame images are obtained
State the second data of a later frame image of a frame or continuous several frame images；
B, according to the frame number of missing, the frame lacked or several frame images are mended out by first data and the second data；
Each frame image is divided into x*y pixel, and wherein x, y are positive integer；
When the image of missing is continuous N frame, then the data of the M frame image in continuous N frame image lacked, the i-th row,
The data of the pixel of jth column are RGB (i, j)+M*(RGB ' (i, j)-RGB (i, j))/(N+1), wherein RGB (i, j)
For the data for the pixel that the i-th row, jth arrange in the first data, RGB ' (i, j) is the pixel of the i-th row in the second data, jth column
The data of point, i are the natural number more than or equal to 1 and less than or equal to x, and j is the natural number more than or equal to 1 and less than or equal to y.
2. the processing method of frame missing image according to claim 1, which is characterized in that when the image of missing is a frame
When, then the data of the frame image lacked, the i-th row, jth column pixel data be RGB (i, j)+(RGB ' (i,
J)-RGB (i, j))/2, wherein data of the RGB (i, j) for the pixel that the i-th row, jth arrange in the first data, RGB ' (i, j)
For the data of the i-th row in the second data, the pixel of jth column, i is more than or equal to 1 and to be less than or equal to the natural number of x, j be greater than
Natural number equal to 1 and less than or equal to y.
3. the processing method of frame missing image according to claim 1, which is characterized in that the step A, when detecting phase
Machine issue a frame synchronizing signal, but do not receive camera induction image when, then determine lack a frame image；When continuous n times
When detecting that camera issues frame synchronizing signal, but not receiving the image of camera induction, then it is judged to lacking continuous N frame image,
Wherein, the N is positive integer.
4. a kind of processing system of frame missing image characterized by comprising
Module is obtained, for obtaining each frame image that camera senses when user starts camera progress preview or video recording, when
When there is a frame or continuous several frame images missing, the first of the previous frame image of a frame or continuous several frame images is obtained
Second data of a later frame image of data and a frame or continuous several frame images；
Compensating module, for the frame number according to missing, if by first data and the second data mend out the frame lacked or
Dry frame image；
Each frame image is divided into x*y pixel, and wherein x, y are positive integer；
In the compensating module, when the image of missing is continuous N frame, then the M frame image in continuous N frame image that is lacked
Data, the i-th row, jth column pixel data be RGB (i, j)+M*(RGB ' (i, j)-RGB (i, j))/(N+
1), wherein RGB (i, j) be the i-th row in the first data, jth column pixel data, RGB ' (i, j) is the in the second data
I row, jth column pixel data, i be more than or equal to 1 and be less than or equal to x natural number, j be more than or equal to 1 and be less than etc.
In the natural number of y.
5. the processing system of frame missing image according to claim 4, which is characterized in that in the compensating module, when scarce
The image of mistake be a frame when, then the data of the frame image lacked, the i-th row, jth column pixel data be RGB (i,
J)+(RGB ' (i, j)-RGB (i, j))/2, wherein RGB (i, j) be the first data in the i-th row, jth column pixel number
According to, RGB ' (i, j) be the i-th row in the second data, jth column pixel data, i be more than or equal to 1 and less than or equal to x from
So number, j are the natural number more than or equal to 1 and less than or equal to y.
6. the processing system of frame missing image according to claim 4, which is characterized in that in the acquisition module, work as inspection
When measuring camera and issue a frame synchronizing signal, but not receiving the image of camera induction, then determine to lack a frame image；When even
Continuous n times detect camera issue frame synchronizing signal, but do not receive camera induction image when, then be judged to lacking continuous N frame
Image, wherein the N is positive integer.
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| CN109686286A (en) * | 2018-12-24 | 2019-04-26 | 武汉华星光电半导体显示技术有限公司 | Image-signal processing method and device, OLED display |
| CN110490161B (en) * | 2019-08-23 | 2022-01-07 | 安徽农业大学 | Captive animal behavior analysis method based on deep learning |
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