CN109698977B - Video image restoration method and device - Google Patents
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- H—ELECTRICITY
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/44008—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
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- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs
- H04N21/4402—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream or rendering scenes according to encoded video stream scene graphs involving reformatting operations of video signals for household redistribution, storage or real-time display
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Abstract
The invention provides a video image restoration method, which comprises the following steps: acquiring a preset ratio of frame rate improvement of a video to be restored; determining an original frame and an inserted frame in a video to be restored according to a preset proportion in a time sequence; judging whether an interpolation frame between every two adjacent original frames is obtained by a linear interpolation condition corresponding to a preset proportion; when the judgment result is yes, all the inserted frames are deleted to obtain the original video. The invention also provides a video image restoration device. According to the method, the original frame and the insertion frame of the video to be restored are determined firstly according to the preset proportion, and when the insertion frame is judged to meet the linear interpolation method corresponding to the preset proportion, all the insertion frames are deleted, so that the video image is restored, the distortion is avoided, meanwhile, the occupied space of the video image is saved, and the video image is convenient to store.
Description
[ technical field ] A method for producing a semiconductor device
The invention belongs to the technical field of image processing, and particularly relates to a method and a device for restoring a video image.
[ background of the invention ]
Video is formed by the continuous projection of a series of images at extremely fast rates, called frames, which are acquired at fixed time intervals, from which a moving scene can be displayed, and frame rate is a measure used to measure the number of display frames, usually in frames per second. Since a high frame rate can result in smoother and more realistic animation effect, a video of 30 frames/second is generally subjected to a linear interpolation process to increase the frame rate, for example, the video is converted into a video of 60 frames/second, wherein an extra 30 frames per second is obtained by adding an intermediate image between every two adjacent frames according to the linear interpolation.
However, the video processed by linear interpolation usually occupies a large space, and if the video can be restored to the original video before processing, a large amount of storage space can be saved, but it is usually difficult to determine which videos are processed by linear interpolation, and the video is easy to distort after restoration. Therefore, it is desirable to provide a method and an apparatus for restoring a video image to overcome the above-mentioned drawbacks.
[ summary of the invention ]
The invention provides a method and a device for restoring a video image, which are used for restoring a video with a frame rate improved by adopting a linear interpolation method, avoiding distortion and reducing the occupied space of the video.
In order to achieve the above object, the present invention provides a method for restoring a video image, comprising the steps of:
acquiring a preset ratio of frame rate improvement of a video to be restored;
determining an original frame and an insertion frame in the video to be restored according to the preset proportion in a time sequence;
judging whether an interpolation frame between every two adjacent original frames is obtained by a linear interpolation condition corresponding to the preset proportion;
when the judgment result is yes, all the inserted frames are deleted to obtain the original video.
In a preferred embodiment, the preset ratio is a frame rate ratio of the video to be restored to the original video, and the preset ratio is n times, where n is a positive integer and n ≧ 2.
In a preferred embodiment, the step of determining the original frame and the inserted frame in the video to be restored according to the preset ratio in time sequence includes:
searching every n-1 frames at intervals from a first frame of the video to be restored according to a time sequence to obtain an original frame in the video to be restored;
determining a frame located between every two adjacent original frames as the insertion frame.
In a preferred embodiment, the step of determining whether the interpolated frame between every two adjacent original frames is obtained by the linear interpolation condition corresponding to the preset ratio includes:
acquiring pixel values of all pixel points in every two adjacent original frames and pixel values of all pixel points in corresponding insertion frames;
calculating the calculation values of the coaxial pixel points in the corresponding insertion frame one by using the pixel values of the coaxial pixel points in every two adjacent original frames;
and judging whether all the calculated values are consistent with the pixel values of the same pixel points in the corresponding insertion frame.
In a preferred embodiment, the pixel values include components of an R channel, a G channel, and a B channel; the step of judging whether the interpolated frame between every two adjacent original frames is obtained by the linear interpolation condition corresponding to the preset proportion comprises: and sequentially and respectively judging whether the components of each pixel point in the inserted frame in the R channel, the G channel and the B channel are consistent with the calculated value obtained according to the linear interpolation condition corresponding to the preset proportion.
In a preferred embodiment, when it is determined that all the calculated values are consistent with the pixel values of the same pixel points in the corresponding interpolated frame, the obtained determination result is that the interpolated frame is obtained by the linear interpolation condition corresponding to the preset ratio.
In a preferred embodiment, when it is determined that the calculated value is inconsistent with the pixel value of the same pixel point in the corresponding interpolated frame, the obtained determination result indicates that the interpolated frame is not obtained from the linear interpolation condition corresponding to the preset ratio.
In a preferred embodiment, the method further comprises: and when the judgment result is that the inserted frame is not obtained by the linear interpolation condition corresponding to the preset proportion, changing and storing the preset proportion, and re-executing the step of obtaining the preset proportion for improving the frame rate of the video to be restored.
In order to achieve the above object, the present invention further provides a video image restoration apparatus, including a processor, a memory, and a computer program stored in the memory and executable on the processor; the processor implements the above-mentioned video image restoration method when executing the computer program.
Compared with the prior art, the invention has the beneficial effects that: the original frame and the insertion frame of the video to be restored are determined firstly according to the preset proportion, and all the insertion frames are deleted when the insertion frames are judged to meet the linear interpolation method corresponding to the preset proportion, so that the video restoration with the frame rate improved by linear interpolation is realized, the distortion is avoided, the occupied space of the video image is saved, and the video image is convenient to store.
[ description of the drawings ]
Fig. 1 is a flowchart illustrating a video image restoration method according to a preferred embodiment of the present invention;
FIG. 2 is a schematic sub-flowchart of step S102 in the video image restoration method shown in FIG. 1;
FIG. 3 is a schematic sub-flowchart of step S103 in the video image restoration method shown in FIG. 1;
fig. 4 is a schematic diagram of establishing a three-dimensional rectangular coordinate system for a video to be restored according to a preferred embodiment of the present invention.
[ detailed description ] embodiments
In order to make the objects, technical solutions and advantageous effects of the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and the detailed description. It should be understood that the detailed description and specific examples, while indicating the preferred embodiment of the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, the present invention provides a method for restoring a video image, which is used for restoring a video with a frame rate being increased by a linear interpolation method, and specifically includes the following steps:
step S101, acquiring a preset ratio of frame rate lifting of a video to be restored.
In step S101, the preset ratio is a frame rate ratio of the video to be restored to the original video, and is n times, where n is a positive integer and n is greater than or equal to 2. The preset ratio is a preset assumed value, in this embodiment, the preset ratio may be set by a user, and before step S101, the method may further include the steps of: and setting a preset proportion. For example, the maximum value of the preset ratio is defined according to the user requirement, and one preset ratio of the frame rate of the video to be restored can be sequentially obtained from n being 2 to n being the maximum value, so as to determine the linear interpolation condition.
Step S102, according to a preset proportion, determining an original frame and an inserted frame in a video to be restored according to a time sequence.
In step S102, when the frame rate is increased according to the linear interpolation, the video to be restored with the high frame rate is obtained by predicting the insertion frame from the original video with the low frame rate by using two adjacent frames, and when the obtained preset ratio is n times, that is, assuming that the video to be restored is obtained by increasing the frame rate of the original video by n times, it can be directly determined that the frame between the two adjacent original frames is the predicted insertion frame, and the number of the insertion frames between the two adjacent original frames is n-1. Thus, referring to fig. 2, step S102 further includes the following sub-steps:
step S201, starting from the first frame of the video to be restored in time sequence, searching every n-1 frames to obtain the original frame in the video to be restored.
In step S201, the insertion frame is located between two adjacent original frames, and it is generally determined that the first frame of the video to be restored is the original frame. In this embodiment, the original frame can be obtained by searching every n-1 frames from the first frame.
In step S202, a frame located between every two adjacent original frames is determined as an insertion frame.
In step S202, after obtaining the original frames, the location of the inserted frame may be determined by searching frame by frame, for example, when the frame rate of the video to be restored is 60 frames/second, and when n is 2, the frame rate of the original video may be determined to be 30 frames/second, that is, the number of inserted frames between every two adjacent original frames is 1.
Step S103, determining whether an interpolated frame between every two adjacent original frames is obtained by a linear interpolation condition corresponding to a preset ratio.
Specifically, referring to fig. 3, step S103 includes the following sub-steps:
step S301, obtaining pixel values of all pixel points in every two adjacent original frames and pixel values of all pixel points in the corresponding insertion frame.
In this embodiment, the components of the pixel values of all the pixels in the original frame and the corresponding interpolated frame in the R channel, the G channel, and the B channel are obtained respectively. For example, the components of the pixel values in the R, G, and B channels are all represented by 8 bits, i.e., taking values in the range of 0-255. In this embodiment, the pixel values include components of an R channel, a G channel, and a B channel, and step S103 further includes: and sequentially and respectively judging whether the components of each pixel point in the inserted frame in the R channel, the G channel and the B channel are consistent with the calculated value obtained according to the linear interpolation condition corresponding to the preset proportion.
Step S302, calculating the calculation values of the coaxial pixels in the corresponding interpolated frame one by one using the pixel values of the coaxial pixels in each two adjacent original frames.
In step S302, each pixel point in the general insertion frame is a weighted average of pixel points at the same positions of two previous and next original frames of the frame. According to the principle of linear interpolation algorithm, the following formula can be obtained:
wherein, X0、X1Temporal data, Y, in the video to be restored for two adjacent original frames0、Y1The pixel values of the pixel points respectively located at the same position in two adjacent original frames are represented, X is time data of the corresponding insertion frame in the video to be restored, and Y is the pixel value of the pixel point located at the same position in the corresponding insertion frame.
In step S302, the same axis refers to the same X axis or the same Y axis, and according to the above formula (1), the pixel values of the pixels located on the same axis in each two adjacent original frames and the time data of the corresponding insertion frame in the two adjacent original frames are known, that is, the calculated values satisfying the principle of the linear interpolation algorithm of the pixels located on the same axis in the insertion frame can be calculated.
Referring to fig. 4, a coordinate system is established with a lower left-hand pixel point of a first frame image in a video to be restored as an origin, a positive right-hand pixel point of an X-axis in the first frame image, a positive upward Y-axis in the first frame image, and a positive Z-axis time of a plurality of frame images in the video to be restored, where the units of the X-axis and the Y-axis are pixels, that is, the numerical values of the X-axis and the Y-axis respectively represent the number of columns and rows of a pixel point in the video to be restored, and the unit of the Z-axis is time, that is, the numerical value of the Z-axis represents the time position of the pixel point in the video to be restored. When the preset proportion is 3 times, it may be determined that the number of inserted frames between every two adjacent original frames is 2, that is, the image with the Z-axis values of t0 and t3 is the original frame, the image with the Z-axis values of t1 and t2 is the inserted frame, the resolution of the known video is 720x480, 345600 pixels in each image are provided, taking the component of the pixel value in the R channel as an example, and the pixel point Q in the t0 image is provided0(X-axis takingValue 0, Y-axis value 479) is 100, pixel point Q in the t3 image3The pixel value of (X-axis value is 0, Y-axis value is 479) is 85, and the pixel point Q in the t1 image can be calculated by the formula (1)1The calculated value of (a) is 95, and a pixel point Q in the t2 image2The calculated value of (2) is 90, and calculated values of the same pixel points (namely X, Y with the same value) in all the insertion frames can be obtained through sequential calculation.
Step S303, determine whether all calculated values are consistent with the pixel values of the same pixel points in the corresponding interpolated frame.
In step S303, the same pixel point refers to a pixel point located on the same X axis and the same Y axis in the original frame and the insertion frame, the obtained pixel value of the same pixel point in the insertion frame is an actual value of a pixel point in the video to be restored, and if the actual value is consistent with the calculated value, the preset ratio can be determined as the actual lifting ratio. As shown in fig. 4, the pixel point Q in the t1 image is obtained according to the above calculation1The calculated value of (a) is 95, and a pixel point Q in the t2 image2If the calculated value of (2) is 90, the pixel point Q is obtained1And pixel point Q2If the pixel values are consistent, it can be determined that the video to be restored is obtained by increasing the frame rate of the original video by 3 times.
Further, referring to fig. 3, the step S103 further includes:
step S304, when all the calculated values are determined to be consistent with the pixel values of the same pixel points in the corresponding insertion frame, the obtained determination result is that the insertion frame is obtained by the linear interpolation condition corresponding to the preset ratio.
Step S305, when it is determined that the calculated value is inconsistent with the pixel value of the same pixel point in the corresponding interpolated frame, that is, as long as one calculated value is inconsistent with the pixel value of the same pixel point in the corresponding interpolated frame, the obtained determination result is that the interpolated frame is not obtained from the linear interpolation condition corresponding to the preset ratio.
In step S305, the method further includes: and if the judgment result is that the inserted frame is not obtained by the linear interpolation condition corresponding to the preset proportion, changing and storing the preset proportion, and executing the step S101 again. For example, the preset ratio is 2 times, and when the determination result is that the linear interpolation condition when the preset ratio is 2 times is not satisfied, the preset ratio may be changed to 3 times and stored, so that the preset ratio for increasing the frame rate of the video to be restored obtained in step S101 is 3 times, which is convenient for entering the next round of determination.
And step S104, deleting all the inserted frames to obtain the original video when the judgment result is yes.
In step S104, once the determination result is that the above-mentioned inserted frame is obtained from the linear interpolation condition corresponding to the preset proportion, the preset proportion may be determined as the actual proportion of the frame rate enhancement of the video to be restored, all the inserted frames are deleted, and the original frame is retained, thereby obtaining the original video. For example, the frame rate of the video to be restored is 90 frames/second, and when it is determined that the frame rate satisfies the linear interpolation condition corresponding to the preset proportion of 3 times, all the interpolated frames are deleted, so that the original video with the frame rate of 30 frames/second is obtained, the occupied space is small, and the storage is convenient for a user.
According to the video image restoration method provided by the embodiment of the invention, the original frame and the inserted frame of the video to be restored are determined firstly according to the preset proportion, and when the pixel values of the pixel points in the inserted frame are judged to meet the linear interpolation method corresponding to the preset proportion, all the inserted frames are deleted, so that the video with the frame rate improved by adopting the linear interpolation is restored, the distortion is avoided, meanwhile, the occupied space of the video image is saved, and the video image is convenient to store.
Based on the above method embodiments, the present invention further provides a video image restoration apparatus, which includes a processor, a memory, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the method for restoring the video image according to the embodiment can be implemented.
Those skilled in the art will appreciate that all or part of the steps in the methods of the above embodiments may be implemented by associated hardware instructed by a program, which may be stored in a computer-readable storage medium, and the storage medium may include: read Only Memory (ROM), Random Access Memory (RAM), magnetic or optical disks, and the like.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (5)
1. A method for restoring a video image, the method comprising the steps of:
acquiring a preset ratio of frame rate improvement of a video to be restored; the preset proportion is the frame rate ratio of the video to be restored to the original video and is n times, wherein n is a positive integer and is more than or equal to 2; the preset proportion is a preset assumed value;
determining an original frame and an insertion frame in the video to be restored according to the preset proportion in a time sequence;
judging whether an interpolation frame between every two adjacent original frames is obtained by a linear interpolation condition corresponding to the preset proportion;
when the judgment result is yes, deleting all the inserted frames to obtain the original video;
wherein, the step of determining the original frame and the inserted frame in the video to be restored according to the preset proportion in time sequence comprises the following steps: searching every n-1 frames at intervals from a first frame of the video to be restored according to a time sequence to obtain an original frame in the video to be restored; determining a frame located between every two adjacent original frames as the insertion frame;
wherein, the step of judging whether the interpolated frame between every two adjacent original frames is obtained by the linear interpolation condition corresponding to the preset proportion comprises: acquiring pixel values of all pixel points in every two adjacent original frames and pixel values of all pixel points in corresponding insertion frames; calculating the calculation values of the coaxial pixel points in the corresponding insertion frame one by one according to the principle of a linear interpolation algorithm by utilizing the pixel values of the coaxial pixel points in every two adjacent original frames; judging whether all the calculated values are consistent with the pixel values of the same pixel points in the corresponding insertion frame; when all the calculated values are judged to be consistent with the pixel values of the same pixel points in the corresponding insertion frame, the obtained judgment result is that the insertion frame is obtained by the linear interpolation condition corresponding to the preset proportion.
2. The method for restoring a video image according to claim 1, wherein the pixel values include components of an R channel, a G channel, and a B channel; the step of judging whether the interpolated frame between every two adjacent original frames is obtained by the linear interpolation condition corresponding to the preset proportion comprises: and sequentially and respectively judging whether the components of each pixel point in the inserted frame in the R channel, the G channel and the B channel are consistent with the calculated value obtained according to the linear interpolation condition corresponding to the preset proportion.
3. The method for restoring a video image according to claim 1, wherein when it is determined that the calculated value is inconsistent with the pixel value of the same pixel in the corresponding interpolated frame, the determination result is obtained that the interpolated frame is not obtained from the linear interpolation condition corresponding to the preset ratio.
4. A method for restoring a video image according to claim 3, said method further comprising: and when the judgment result is that the inserted frame is not obtained by the linear interpolation condition corresponding to the preset proportion, changing and storing the preset proportion, and re-executing the step of obtaining the preset proportion for improving the frame rate of the video to be restored.
5. A video image restoration device is characterized by comprising a processor, a memory and a computer program which is stored on the memory and can run on the processor; the processor, when executing the computer program, implements a method of restoring a video image as claimed in any one of claims 1 to 4.
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| EP2330818A4 (en) * | 2008-09-04 | 2013-06-19 | Japan Science & Tech Agency | Frame rate converting apparatus and corresponding point estimating apparatus, corresponding point estimating method and corresponding point estimating program |
| CN103248950A (en) * | 2013-04-28 | 2013-08-14 | 天脉聚源(北京)传媒科技有限公司 | System and method for customizing video frame rate |
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