CN113674241B - Frame selection method, device, computer equipment and storage medium - Google Patents

Frame selection method, device, computer equipment and storage medium Download PDF

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CN113674241B
CN113674241B CN202110942557.7A CN202110942557A CN113674241B CN 113674241 B CN113674241 B CN 113674241B CN 202110942557 A CN202110942557 A CN 202110942557A CN 113674241 B CN113674241 B CN 113674241B
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image frame
image
image frames
value
frame
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CN113674241A (en
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黄佳骏
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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Guangdong Oppo Mobile Telecommunications Corp Ltd
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    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/90—Determination of colour characteristics
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10016—Video; Image sequence
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30168—Image quality inspection

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  • Computer Vision & Pattern Recognition (AREA)
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Abstract

The application relates to a frame selection method, a frame selection device, computer equipment and a storage medium. The method comprises the following steps: the method comprises the steps of obtaining brightness values of each image frame in a plurality of image frames, determining brightness difference degrees between each image frame and other image frames in the plurality of image frames according to the brightness values of each image frame, determining candidate image frames from the plurality of image frames according to the brightness difference degrees corresponding to each image frame, and determining reference image frames from the candidate image frames based on sharpness values of the candidate image frames. The method can be adopted to select the reference image frame according to the brightness value and the sharpness value of the image frame because the brightness value and the sharpness value of the image frame are considered at the same time, so that the probability of taking the image frame acquired under more sufficient light as the reference image frame can be improved under more complex environments, and the clearer reference image frame can be conveniently selected from a plurality of image frames.

Description

Frame selection method, device, computer equipment and storage medium
Technical Field
The present application relates to the field of image processing technologies, and in particular, to a frame selection method, a frame selection device, a computer device, and a storage medium.
Background
With the development of image processing technology, multi-frame image algorithms are used for processing images, for example, when an electronic device shoots in a night scene or dim light environment, a plurality of image frames can be processed through multi-frame noise reduction, multi-frame super-resolution reconstruction and the like, so that a relatively pure clear image is obtained. In many multi-frame image algorithms, an image frame needs to be designated as a reference image frame.
In the conventional technology, the sharpness of each image frame in a plurality of frames of images needs to be calculated, the image frame with the highest sharpness is selected as a reference image frame, and a purer clear image is further obtained based on the reference image frame.
However, in some more complex environments, it is difficult to obtain a clearer reference frame image. For example, when the light is sufficiently suddenly changed to dark light, it is difficult to select a clearer reference frame image from a plurality of frame images.
Disclosure of Invention
In view of the foregoing, it is desirable to provide a frame selection method, apparatus, computer device, and storage medium that can facilitate obtaining a clearer reference frame image in some more complex environments.
A method of selecting frames, the method comprising:
acquiring a brightness value of each image frame in a plurality of image frames;
determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame;
And determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame.
In one embodiment, the determining a reference image frame from the candidate image frames based on the sharpness values of the candidate image frames includes:
If the number of candidate image frames is a plurality, the reference image frame is determined from the plurality of candidate image frames based on the sharpness value of each of the candidate image frames.
In one embodiment, the method further comprises:
And if the number of the candidate image frames is one, taking the candidate image frames as the reference image frames.
In one embodiment, the determining, according to the brightness value of each image frame, the brightness difference degree between each image frame and other image frames in the plurality of image frames includes:
Determining a target number of image frames with a difference from the brightness value of each image frame being less than a first difference threshold according to the brightness value of each image frame;
and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
In one embodiment, the determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame includes:
and taking the image frames corresponding to the maximum target number as the candidate image frames.
In one embodiment, the method further comprises:
Taking the image frames with the difference of the brightness value from the reference image frame smaller than a second difference threshold value in the rest image frames as reserved image frames;
Processing the reference image frame according to the reserved image frame to obtain a target reference image frame;
Wherein the remaining image frames include image frames of the plurality of image frames other than the reference image frame.
In one embodiment, the acquiring the brightness value of each of the plurality of image frames includes:
dividing each image frame into a plurality of image blocks with target sizes;
for each of the image frames, determining a center region of a plurality of image blocks of the image frame, wherein the center region includes a target number of pixels;
determining a brightness value of each image block according to the pixel value of the central area of each image block;
and acquiring the brightness value of each image frame according to the brightness value of each image block.
In one embodiment, the method further comprises:
For each image frame, determining a sharpness value of each image block according to a pixel value of a central area of each image block of the image frame and a pixel value of a target pixel in the image block, wherein the target pixel comprises a pixel with a target distance from the central area;
And obtaining the sharpness value of each image frame according to the sharpness values of all the image blocks of each image frame.
A frame selection apparatus, the apparatus comprising:
acquiring a brightness value of each image frame in a plurality of image frames;
determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame;
And determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame.
A computer device comprising a memory storing a computer program and a processor implementing the steps of any of the methods described above when the processor executes the computer program.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of any of the methods described above.
The frame selecting method, the frame selecting device, the computer equipment and the storage medium acquire the brightness value of each image frame in the plurality of image frames, determine the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame, determine candidate image frames from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determine reference image frames from the candidate image frames based on the sharpness value of the candidate image frames. According to the embodiment of the application, the brightness difference degree corresponding to each image frame is determined according to the brightness value of each image frame, the candidate image frame is determined according to the brightness difference degree corresponding to each image frame, and then the reference image frame is determined from the candidate image frames based on the sharpness value of the candidate image frame, namely, the reference image frame is determined according to the brightness value and the sharpness value of the image frame at the same time, so that the problem that in the traditional technology, when the reference image frame is selected only based on the sharpness value of the image frame, the image frame with larger noise acquired in dark light is possibly used as the reference image frame, and the selected reference image frame is not clear is avoided. That is, in the embodiment of the present application, the reference image frame is determined according to the brightness value and the sharpness value according to the image frame, so that in some more complex environments, the probability of using the image frame collected under more sufficient light as the reference image frame can be improved, thereby facilitating the selection of a clearer reference image frame from a plurality of image frames.
Drawings
Fig. 1 is a schematic flow chart of a frame selecting method according to an embodiment of the present application;
fig. 2 is a flowchart of a brightness difference degree determining method according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for obtaining a target reference image frame according to an embodiment of the present application;
fig. 4 is a flowchart of a method for obtaining a luminance value of an image frame according to an embodiment of the present application;
fig. 5 is a flowchart of a method for obtaining a luminance value of an image frame according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a pixel in a center region of an image block and a target pixel according to an embodiment of the present application;
Fig. 7 is a schematic structural diagram of a frame selecting device according to an embodiment of the present application;
fig. 8 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
In the conventional technology, the sharpness of each image frame in a plurality of frames of images needs to be calculated, the image frame with the highest sharpness is selected as a reference image frame, and a purer clear image is further obtained based on the reference image frame.
However, in some more complex environments, it is difficult to obtain a clearer reference frame image. For example, when the light is enough and suddenly changed into the dark light, in the process, if the plurality of image frames collected by the electronic device include the image frame collected when the light is enough and the image frame collected when the light is dark, in this case, the noise of a certain image frame collected when the light is dark is larger, so that the sharpness value of the image frame is larger, therefore, the image frame with the largest sharpness value is taken as the reference image frame by the traditional method, that is, the image frame with the larger noise is taken as the reference image frame, and the quality of the selected reference image frame is affected, that is, the clearer reference frame image is difficult to select.
In order to solve the technical problems, the embodiment of the application provides a frame selection method. Referring to fig. 1, fig. 1 is a schematic flow chart of a frame selection method according to an embodiment of the present application, where the method may be applied to electronic devices such as a mobile terminal, a notebook computer, and a tablet computer, and includes the following steps:
S101, acquiring brightness values of each image frame in a plurality of image frames.
In this embodiment, the plurality of image frames may be image frames in YUV format, or may be image frames in Y channel, where Y represents brightness, and U and V represent chromaticity. Or the plurality of image frames are image frames in an RGB color mode, and RGB represents colors of three channels of red (R), green (G), and blue (B).
S102, determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame.
The brightness difference degree between each image frame and other image frames in the plurality of image frames is determined according to the brightness value of each image frame, and the brightness difference degree can be realized in the following manner;
For each image frame, a difference between the luminance value of the image frame and the luminance value of each of the other image frames is determined, and a sum of absolute values of the differences is taken as a degree of luminance difference between the image frame and the other image frames of the plurality of image frames. The positive correlation between the brightness difference degree and the sum of the absolute values of the differences, that is, the greater the sum of the absolute values of the differences corresponding to a certain image frame, means that the greater the brightness difference degree between the image frame and other image frames in the plurality of image frames.
S103, determining candidate image frames from a plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining reference image frames from the candidate image frames based on the sharpness values of the candidate image frames.
Wherein the image frame corresponding to the smallest brightness difference degree can be used as the candidate image frame. It should be noted that there may be a plurality of minimum brightness difference degrees, and thus, the number of the determined candidate image frames may be a plurality.
For example, if the plurality of image frames includes image frame 1, image frame 2, image frame 3, image frame 4, image frame 5, and image frame 6, the degree of brightness difference corresponding to image frame 1, the degree of brightness difference corresponding to image frame 2, the degree of brightness difference corresponding to image frame 3, and the degree of brightness difference corresponding to image frame 4 are the same, and are the minimum value of the 6 degrees of brightness difference corresponding to the 6 image frames, then image frame 1, image frame 2, image frame 3, and image frame 4 are each determined as candidate image frames.
It should be noted that, in some more complex environments, for example, when the light is more abundant and suddenly changes into the dim light, if the number of the image frames collected when the light is more abundant is greater than the number of the image frames collected when the dim light is more abundant in this process, the step S102 is adopted to determine the brightness difference degree between each image frame and other image frames in the plurality of image frames, when the brightness difference degree corresponding to each image frame collected when the light is more abundant is often the same, the brightness difference degree corresponding to each image frame collected when the dim light is often the same, and the brightness difference degree corresponding to each image frame collected when the light is more abundant is less than the brightness difference degree corresponding to the image frame collected when the dim light, so that in this step, the candidate image frame can be determined from the plurality of image frames according to the brightness difference degree corresponding to each image frame, for example, the image frame corresponding to the minimum brightness difference degree is selected as the candidate image frame.
After the candidate image frames are determined, reference image frames may be determined from the candidate image frames based on sharpness values of the candidate image frames. For example, a candidate image frame corresponding to the largest sharpness value among sharpness values of the candidate image frames is taken as the reference image frame. Therefore, the image frames acquired under more sufficient light are used as the reference image frames in more complex environments such as the change of the light intensity of the ambient light or the change of the light intensity of a shot object such as a light source, and the like, so that clearer reference image frames can be selected.
According to the frame selection method provided by the embodiment, the brightness value of each image frame in the plurality of image frames is obtained, the brightness difference degree between each image frame and other image frames in the plurality of image frames is determined according to the brightness value of each image frame, the candidate image frame is determined from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and the reference image frame is determined from the candidate image frames based on the sharpness value of the candidate image frame. According to the embodiment of the application, the brightness difference degree corresponding to each image frame is determined according to the brightness value of each image frame, the candidate image frame is determined according to the brightness difference degree corresponding to each image frame, and then the reference image frame is determined from the candidate image frames based on the sharpness value of the candidate image frame, namely, the reference image frame is determined according to the brightness value and the sharpness value of the image frame at the same time, so that the problem that in the traditional technology, when the reference image frame is selected only based on the sharpness value of the image frame, the image frame with larger noise acquired in dark light is possibly used as the reference image frame, and the selected reference image frame is not clear is avoided. That is, in the embodiment of the present application, the reference image frame is determined according to the brightness value and the sharpness value according to the image frame, so that in some more complex environments, the probability of using the image frame collected under more sufficient light as the reference image frame can be improved, thereby facilitating the selection of a clearer reference image frame from a plurality of image frames.
Alternatively, the determining the reference image frame from the candidate image frames based on the sharpness values of the candidate image frames in S103 may be implemented as follows:
If the number of candidate image frames is plural, a reference image frame is determined from the plural candidate image frames based on the sharpness value of each candidate image frame.
In connection with the above example, if image frame 1, image frame 2, image frame 3, and image frame 4 are all determined as candidate image frames, the sharpness value of image frame 1 is the largest of the sharpness values of the 4 image frames, then image frame 1 is taken as the reference image frame.
In this embodiment, any one of the candidate image frames may be used as the reference image frame, or the candidate image frame corresponding to the largest sharpness value may be used as the reference image frame. When the candidate image frame corresponding to the largest sharpness value is selected as the reference image frame, the probability of acquiring the clearer reference image frame can be further improved, so that the clearer reference image frame can be acquired as much as possible.
Optionally, on the basis of the above example embodiment, the following implementation manner may be further included:
if the number of candidate image frames is one, the candidate image frames are taken as reference image frames.
Referring to fig. 2, fig. 2 is a flowchart of a method for determining a brightness difference degree according to an embodiment of the present application, which relates to an alternative implementation manner of determining a brightness difference degree between each image frame and other image frames in a plurality of image frames according to brightness values of each image frame. Based on the above embodiment, the step S102 specifically includes the following steps:
s201, determining the target number of the image frames with the difference smaller than a first difference threshold value from the brightness value of each image frame according to the brightness value of each image frame.
In this step, for any one image frame, a difference between the luminance value of the other image frame and the luminance value of the image frame is determined, and the target number of image frames having a difference from the luminance value of the image frame smaller than the first difference threshold is determined.
As described in connection with the above example, for image frame 1, the difference between the luminance value of image frame 2 and the luminance value of image frame 1, the difference between the luminance value of image frame 3 and the luminance value of image frame 1, the difference between the luminance value of image frame 4 and the luminance value of image frame 1, the difference between the luminance value of image frame 5 and the luminance value of image frame 1, and the difference between the luminance value of image frame 6 and the luminance value of image frame 1 are determined. If the difference between the luminance value of the image frame 2 and the luminance value of the image frame 1, the difference between the luminance value of the image frame 3 and the luminance value of the image frame 1, and the difference between the luminance value of the image frame 4 and the luminance value of the image frame 1 are all smaller than the first difference threshold, the target number of image frames whose difference from the luminance value of the image frame 1 is smaller than the first difference threshold is equal to 3.
For image frame 2, the difference between the luminance value of image frame 1 and the luminance value of image frame 2, the difference between the luminance value of image frame 3 and the luminance value of image frame 2, the difference between the luminance value of image frame 4 and the luminance value of image frame 2, the difference between the luminance value of image frame 5 and the luminance value of image frame 2, and the difference between the luminance value of image frame 6 and the luminance value of image frame 2 are determined. If the difference between the luminance value of the image frame 1 and the luminance value of the image frame 2, the difference between the luminance value of the image frame 3 and the luminance value of the image frame 2, and the difference between the luminance value of the image frame 4 and the luminance value of the image frame 2 are all smaller than the first difference threshold, the target number of image frames whose difference between the luminance value of the image frame 2 and the luminance value of the image frame 2 is smaller than the first difference threshold is also equal to 3.
Also, for image frame 3, image frame 4, image frame 5, and image frame 6, the target number of image frames having a difference from the luminance value of image frame 3 less than the first difference threshold is determined, the target number of image frames having a difference from the luminance value of image frame 4 less than the first difference threshold is determined, the target number of image frames having a difference from the luminance value of image frame 5 less than the first difference threshold is determined, and the target number of image frames having a difference from the luminance value of image frame 6 less than the first difference threshold is determined, respectively.
It should be noted that, according to the brightness value of each image frame, determining the difference from the brightness value of each image frame may be achieved as follows:
For each image frame, the absolute value of the difference between the luminance value of the image frame and the luminance value of any other image frame is taken as the difference between the luminance value of the image frame and the luminance value of any other image frame. The smaller the absolute value of the difference value means that the smaller the difference between the luminance values of the two image frames.
Optionally, determining the difference from the luminance value of each image frame according to the luminance value of each image frame may also be implemented by:
For each image frame, the ratio of the absolute value of the difference between the brightness value of the image frame and the brightness value of any other image frame to the brightness value of the image frame is taken as the difference between the brightness value of the image frame and the brightness value of any other image frame.
When comparing the difference between the luminance values of two image frames, the ratio of the larger luminance value to the smaller luminance value of the two luminance values may be used as the difference between the luminance value of the image frame and the luminance value of any other image frame. The smaller the ratio means that the smaller the difference between the luminance values of the two image frames.
S202, taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
In this embodiment, the greater the number of targets corresponding to an image frame, the lower the degree of brightness difference between the brightness value of the image frame and the brightness values of other image frames, and therefore, the number of targets corresponding to an image frame may be regarded as the degree of brightness difference corresponding to an image frame.
According to the method provided by the embodiment, the target number of the image frames, which is smaller than the first difference threshold value according to the brightness value of each image frame, is determined, the target number corresponding to each image frame is taken as the brightness difference degree corresponding to each image frame, so that the brightness difference degree corresponding to each image frame is determined, the candidate image frames are determined from a plurality of image frames according to the brightness difference degree corresponding to each image frame, and further the reference image frames are selected from the candidate image frames according to the sharpness value of the candidate image frames, so that the probability of taking the image frames acquired under more sufficient light as the reference image frames can be improved under more complex environments, and the selection of the clearer reference image frames from the plurality of image frames is facilitated.
Alternatively, on the basis of the above embodiment, determining the candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame may be implemented as follows:
And taking the image frames corresponding to the maximum target number as candidate image frames.
In connection with the above illustration, if the target number of image frames whose luminance value differs from the image frame 1 by less than the first difference threshold, the target number of image frames whose luminance value differs from the image frame 2 by less than the first difference threshold, the target number of image frames whose luminance value differs from the image frame 3 by less than the first difference threshold, and the target number of image frames whose luminance value differs from the image frame 4 by less than the first difference threshold are the largest and equal, then the image frame 1, the image frame 2, the image frame 3, and the image frame 4 are all taken as candidate image frames.
Referring to fig. 3, fig. 3 is a flowchart of a method for obtaining a target reference image frame according to an embodiment of the present application. The present embodiment relates to how to determine a retained image frame according to a luminance value of a reference image frame and process the reference image frame according to the retained image frame to obtain an alternative implementation manner of a target reference image frame. On the basis of the embodiment, the method comprises the following steps:
And S301, taking the image frames with the difference of the brightness value from the reference image frame smaller than a second difference threshold value in the rest image frames as reserved image frames.
Wherein the remaining image frames include image frames other than the reference image frame among the plurality of image frames.
And determining the difference between the brightness value of each image frame in the rest image frames and the brightness value of the reference image frame, and taking the image frame with the difference smaller than the second difference threshold value as the reserved image frame.
In this embodiment, determining the difference between the luminance value of each of the remaining image frames and the luminance value of the reference image frame may be achieved by:
the absolute value of the difference between the brightness value of each of the remaining image frames and the brightness value of the reference image frame is used as the difference between the brightness value of each of the remaining image frames and the brightness value of the reference image frame.
Alternatively, after determining the absolute value of the difference between the luminance value of one of the remaining image frames and the luminance value of the reference image frame, the ratio of the absolute value to the luminance value of the reference image frame may also be determined, and the ratio may be used as the difference between the luminance value of one of the remaining image frames and the luminance value of the reference image frame.
S302, processing the reference image frame according to the reserved image frame to obtain a target reference image frame.
The remaining image frames can be adopted to register, fuse and the like the reference image frames, so that missing information in the reference image frames is compensated, and the target reference image frames are obtained.
In this embodiment, since the image frame with the difference between the brightness value of the remaining image frame and the brightness value of the reference image frame being smaller than the second difference threshold is used as the remaining image frame, the difference between the brightness value of the obtained remaining image frame and the brightness value of the reference image frame is smaller, so that the registration, fusion and other processes are performed on the reference image frame based on the remaining image frame, and a clearer target reference image frame is obtained.
Referring to fig. 4, fig. 4 is a flowchart illustrating a method for obtaining a luminance value of an image frame according to an embodiment of the present application. This embodiment relates to an alternative implementation of how the luminance value of each of a plurality of image frames is obtained. On the basis of the embodiment, the method comprises the following steps:
S401, cutting each image frame into a plurality of image blocks with target sizes.
For example, for a 64 x 64 image frame, the target size is, for example, 8x8 pixels, then the image frame may be segmented into a plurality of image blocks in units of 8x8 pixels. Thus, 64 image blocks in units of 8×8 pixels can be obtained.
S402, for each image frame, determining a central area of a plurality of image blocks of the image frame, wherein the central area comprises a target number of pixels.
In this embodiment, the center area may be 4 pixels located at the center of the image block or 2 pixels located at the center of the image block. The present embodiment does not limit the number of pixels included in the center region.
S403, determining the brightness value of each image block according to the pixel value of the central area of each image block.
For example, if the center area includes 4 pixels, an average value of the pixel values of the 4 pixels is taken as the luminance value of the image block. Or multiplying the average value by a certain coefficient to obtain the brightness value of the image block.
S404, acquiring the brightness value of each image frame according to the brightness value of each image block.
The sum of the luminance values of the image blocks may be taken as the luminance value of the image frame, or the sum of the luminance values of the image blocks may be averaged, and the average value may be taken as the luminance value of the image frame.
In the conventional art, the sum of pixel values of respective pixels of an image frame is generally taken as a luminance value of the image frame, and thus the larger the number of pixels of the image frame is, the larger the calculation amount of the luminance value of the image frame is calculated.
In the method provided by the embodiment, since each image frame is segmented into a plurality of image blocks with target sizes, for each image frame, the central areas of the plurality of image blocks of the image frame are determined, and the brightness value of each image block is determined according to the pixel value of the central area of each image block, and then the brightness value of the image frame is determined according to the brightness value of each image block, the calculation amount of the brightness value of the image frame is reduced, the calculation efficiency of the brightness value of the image frame is improved, and further the time required for selecting the reference image frame can be saved.
Referring to fig. 5, fig. 5 is a flowchart illustrating a method for obtaining a luminance value of an image frame according to an embodiment of the present application. This embodiment relates to an alternative implementation of how sharpness values for image frames are obtained. On the basis of the embodiment, the method comprises the following steps:
s501, for each image frame, determining a sharpness value of each image block according to a pixel value of a central area of each image block of the image frame and a pixel value of a target pixel in the image block, wherein the target pixel includes a pixel having a target distance from the central area.
Wherein S501 may be implemented as follows:
Differences between the pixel values of the respective target pixels and the pixel values of the pixels of the central region corresponding to the target pixels are determined, and the sum of absolute values of the respective differences is taken as a sharpness value of the image block. The pixels of the central region corresponding to the target pixel may be pixels aligned with the target pixel in the vertical axis direction or pixels aligned in the horizontal axis direction.
Referring to fig. 6 in conjunction with the above description, fig. 6 is a schematic diagram of a pixel in a central area of an image block and a target pixel according to an embodiment of the present application. Referring to fig. 6, the image block shown in fig. 6 includes 8 rows and 8 columns of pixels, and one square indicates one pixel. In the present embodiment, the center area includes the pixel 601, the pixel 602, the pixel 603, and the pixel 604, and the target pixel includes the pixel 605, the pixel 606, the pixel 607, the pixel 608, the pixel 609, the pixel 610, the pixel 611, and the pixel 612. Wherein pixel 605 is directly above pixel 601, pixel 606 is directly above pixel 602, pixel 607 is directly to the left of pixel 601, pixel 608 is directly to the left of pixel 603, pixel 611 is directly below pixel 603, pixel 612 is directly below pixel 604, pixel 609 is directly to the right of pixel 602, and pixel 610 is directly to the right of pixel 604.
In this embodiment, when the target pixel is the pixel 605, the pixel in the central area corresponding to the pixel 605 is the pixel 601, and the difference between the pixel value of the pixel 605 and the pixel value of the pixel 601 in the central area corresponding to the pixel 605 is determined. When the target pixel is the pixel 606, the pixel in the central area corresponding to the pixel 606 is the pixel 602, and a difference between the pixel value of the pixel 606 and the pixel value of the pixel 602 in the central area corresponding to the pixel 606 needs to be determined. Also, the difference between the pixel value of pixel 601 and the pixel value of pixel 607, the difference between the pixel value of pixel 603 and the pixel value of pixel 608, the difference between the pixel value of pixel 603 and the pixel value of pixel 611, the difference between the pixel value of pixel 604 and the pixel value of pixel 612, the difference between the pixel value of pixel 602 and the pixel value of pixel 609, the difference between the pixel value of pixel 604 and the pixel value of pixel 610, and finally the sum of the absolute values of the respective differences is taken as the sharpness value of the image block.
Since in the conventional art, it is necessary to calculate a difference value of a pixel value of each pixel in the image frame and a pixel value of a pixel adjacent to the pixel, a sharpness value of the image frame is determined based on each calculated difference value, and thus the calculation amount is relatively large. In this embodiment, the sharpness value of the image block can be calculated only based on the pixel value of the pixel in the center region and the pixel value of the target pixel without depending on the pixel values of the pixels in the whole image frame, so that the number of pixels on which the sharpness value is calculated is reduced, the calculation speed of the sharpness value of the image block can be increased, the time required for calculating the sharpness value of the image block can be shortened, and the time required for calculating the sharpness value of the image frame based on the sharpness value of each image block can be shortened.
S502, obtaining the sharpness value of each image frame according to the sharpness values of all image blocks of each image frame.
The method provided by the embodiment determines the sharpness value of each image block according to the pixel value of the central area of each image block and the pixel value of the target pixel in the image block for each image frame, and obtains the sharpness value of each image frame according to the sharpness values of all the image blocks of each image frame. The number of pixels from which the sharpness values are calculated is reduced, so that the calculation speed of the sharpness values of the image blocks can be increased, the time required for calculating the sharpness values of the image blocks is shortened, and the time required for calculating the sharpness values of the image frames based on the sharpness values of the image blocks is shortened.
It should be understood that, although the steps in the flowcharts of fig. 1-5 are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in fig. 1-5 may include multiple steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the steps or stages in other steps or other steps.
Referring to fig. 7, fig. 7 is a schematic structural diagram of a frame selecting device according to an embodiment of the present application, where the device 700 includes: the device comprises a first acquisition module, a first determination module and a second determination module, wherein:
a first obtaining module 701, configured to obtain a luminance value of each of a plurality of image frames;
a first determining module 702, configured to determine, according to the luminance value of each of the image frames, a degree of luminance difference between each of the image frames and other image frames in the plurality of image frames;
A second determining module 703, configured to determine a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each of the image frames, and determine a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame.
The frame selecting device provided in this embodiment determines, by acquiring the luminance value of each image frame in the plurality of image frames, the degree of luminance difference between each image frame and other image frames in the plurality of image frames according to the luminance value of each image frame, determines a candidate image frame from the plurality of image frames according to the degree of luminance difference corresponding to each image frame, and determines a reference image frame from the candidate image frame based on the sharpness value of the candidate image frame. According to the embodiment of the application, the brightness difference degree corresponding to each image frame is determined according to the brightness value of each image frame, the candidate image frame is determined according to the brightness difference degree corresponding to each image frame, and then the reference image frame is determined from the candidate image frames based on the sharpness value of the candidate image frame, namely, the reference image frame is determined according to the brightness value and the sharpness value of the image frame at the same time, so that the problem that in the traditional technology, when the reference image frame is selected only based on the sharpness value of the image frame, the image frame with larger noise acquired in dark light is possibly used as the reference image frame, and the selected reference image frame is not clear is avoided. That is, in the embodiment of the present application, the reference image frame is determined according to the brightness value and the sharpness value according to the image frame, so that in some more complex environments, the probability of using the image frame collected under more sufficient light as the reference image frame can be improved, thereby facilitating the selection of a clearer reference image frame from a plurality of image frames.
Optionally, the second determining module 703 is specifically configured to determine, if the number of the candidate image frames is plural, the reference image frame from the plural candidate image frames based on the sharpness value of each of the candidate image frames.
Optionally, if the number of candidate image frames is one, the candidate image frames are taken as the reference image frames.
Optionally, the first determining module 702 determines, according to the luminance value of each of the image frames, a target number of image frames having a difference from the luminance value of each of the image frames that is less than a first difference threshold;
and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
Optionally, the second determining module 703 is specifically configured to take, as the candidate image frame, an image frame corresponding to the maximum target number.
Optionally, taking the image frame with the difference of the brightness value from the reference image frame smaller than a second difference threshold value as the reserved image frame;
Processing the reference image frame according to the reserved image frame to obtain a target reference image frame;
Wherein the remaining image frames include image frames of the plurality of image frames other than the reference image frame.
Optionally, the first obtaining module 701 is specifically configured to segment each of the image frames into image blocks with multiple target sizes; for each of the image frames, determining a center region of a plurality of image blocks of the image frame, wherein the center region includes a target number of pixels; determining a brightness value of each image block according to the pixel value of the central area of each image block; and acquiring the brightness value of each image frame according to the brightness value of each image block.
Optionally, the method may further include:
A third determining module, configured to determine, for each of the image frames, a sharpness value of each of the image blocks according to a pixel value of a center region of each of the image blocks of the image frame and a pixel value of a target pixel in the image block, where the target pixel includes a pixel whose distance from the center region is a target distance;
And the second acquisition module is used for acquiring the sharpness values of the image frames according to the sharpness values of all the image blocks of the image frames.
The specific limitation of the frame selecting device can be referred to the limitation of the frame selecting method hereinabove, and will not be repeated herein. The above-mentioned individual modules in the frame selecting device may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and an internal structure diagram thereof may be shown in fig. 8, and fig. 8 is an internal structure diagram of the computer device in one embodiment. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, an operator network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a frame selection method. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in FIG. 8 is merely a block diagram of some of the structures associated with the present inventive arrangements and is not limiting of the computer device to which the present inventive arrangements may be applied, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
acquiring a brightness value of each image frame in a plurality of image frames;
determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame;
And determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame.
In one embodiment, the processor when executing the computer program further performs the steps of:
If the number of candidate image frames is a plurality, the reference image frame is determined from the plurality of candidate image frames based on the sharpness value of each of the candidate image frames.
In one embodiment, the processor when executing the computer program further performs the steps of:
And if the number of the candidate image frames is one, taking the candidate image frames as the reference image frames.
In one embodiment, the processor when executing the computer program further performs the steps of:
Determining a target number of image frames with a difference from the brightness value of each image frame being less than a first difference threshold according to the brightness value of each image frame;
and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
In one embodiment, the processor when executing the computer program further performs the steps of:
and taking the image frames corresponding to the maximum target number as the candidate image frames.
In one embodiment, the processor when executing the computer program further performs the steps of:
Taking the image frames with the difference of the brightness value from the reference image frame smaller than a second difference threshold value in the rest image frames as reserved image frames;
Processing the reference image frame according to the reserved image frame to obtain a target reference image frame;
Wherein the remaining image frames include image frames of the plurality of image frames other than the reference image frame.
In one embodiment, the processor when executing the computer program further performs the steps of:
Dividing each image frame into a plurality of image blocks with target sizes; for each of the image frames, determining a center region of a plurality of image blocks of the image frame, wherein the center region includes a target number of pixels; determining a brightness value of each image block according to the pixel value of the central area of each image block; and acquiring the brightness value of each image frame according to the brightness value of each image block.
In one embodiment, the processor when executing the computer program further performs the steps of:
For each image frame, determining a sharpness value of each image block according to a pixel value of a central area of each image block of the image frame and a pixel value of a target pixel in the image block, wherein the target pixel comprises a pixel with a target distance from the central area; and obtaining the sharpness value of each image frame according to the sharpness values of all the image blocks of each image frame.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring a brightness value of each image frame in a plurality of image frames;
determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame;
And determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame.
In one embodiment, the computer program when executed by the processor further performs the steps of:
If the number of candidate image frames is a plurality, the reference image frame is determined from the plurality of candidate image frames based on the sharpness value of each of the candidate image frames.
In one embodiment, the computer program when executed by the processor further performs the steps of:
And if the number of the candidate image frames is one, taking the candidate image frames as the reference image frames.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Determining a target number of image frames with a difference from the brightness value of each image frame being less than a first difference threshold according to the brightness value of each image frame; and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
In one embodiment, the computer program when executed by the processor further performs the steps of:
and taking the image frames corresponding to the maximum target number as the candidate image frames.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Taking the image frames with the difference of the brightness value from the reference image frame smaller than a second difference threshold value in the rest image frames as reserved image frames; processing the reference image frame according to the reserved image frame to obtain a target reference image frame; wherein the remaining image frames include image frames of the plurality of image frames other than the reference image frame.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Dividing each image frame into a plurality of image blocks with target sizes; for each of the image frames, determining a center region of a plurality of image blocks of the image frame, wherein the center region includes a target number of pixels; determining a brightness value of each image block according to the pixel value of the central area of each image block; and acquiring the brightness value of each image frame according to the brightness value of each image block.
In one embodiment, the computer program when executed by the processor further performs the steps of:
For each image frame, determining a sharpness value of each image block according to a pixel value of a central area of each image block of the image frame and a pixel value of a target pixel in the image block, wherein the target pixel comprises a pixel with a target distance from the central area; and obtaining the sharpness value of each image frame according to the sharpness values of all the image blocks of each image frame.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in various forms such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), etc.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples illustrate only a few embodiments of the application, which are described in detail and are not to be construed as limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of protection of the present application is to be determined by the appended claims.

Claims (10)

1. A method of selecting frames, the method comprising:
acquiring a brightness value of each image frame in a plurality of image frames;
determining the brightness difference degree between each image frame and other image frames in the plurality of image frames according to the brightness value of each image frame;
Determining a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determining a reference image frame from the candidate image frames based on the sharpness value of the candidate image frame;
the determining, according to the brightness value of each image frame, the brightness difference degree between each image frame and other image frames in the plurality of image frames includes:
Determining a target number of image frames with a difference from the brightness value of each image frame being less than a first difference threshold according to the brightness value of each image frame;
and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
2. The method of claim 1, wherein the determining a reference image frame from the candidate image frames based on sharpness values of the candidate image frames comprises:
If the number of candidate image frames is a plurality, the reference image frame is determined from the plurality of candidate image frames based on the sharpness value of each of the candidate image frames.
3. The method according to claim 2, wherein the method further comprises:
And if the number of the candidate image frames is one, taking the candidate image frames as the reference image frames.
4. The method of claim 1, wherein said determining a candidate image frame from said plurality of image frames based on said degree of brightness difference for each of said image frames comprises:
and taking the image frames corresponding to the maximum target number as the candidate image frames.
5. A method according to any one of claims 1-3, wherein the method further comprises:
Taking the image frames with the difference of the brightness value from the reference image frame smaller than a second difference threshold value in the rest image frames as reserved image frames;
Processing the reference image frame according to the reserved image frame to obtain a target reference image frame;
Wherein the remaining image frames include image frames of the plurality of image frames other than the reference image frame.
6. A method according to any one of claims 1-3, wherein said obtaining a luminance value for each of a plurality of image frames comprises:
dividing each image frame into a plurality of image blocks with target sizes;
for each of the image frames, determining a center region of a plurality of image blocks of the image frame, wherein the center region includes a target number of pixels;
determining a brightness value of each image block according to the pixel value of the central area of each image block;
and acquiring the brightness value of each image frame according to the brightness value of each image block.
7. A method according to any one of claims 1-3, wherein the method further comprises:
dividing each image frame into a plurality of image blocks with target sizes;
For each image frame, determining a sharpness value of each image block according to a pixel value of a central area of each image block of the image frame and a pixel value of a target pixel in the image block, wherein the target pixel comprises a pixel with a target distance from the central area;
And obtaining the sharpness value of each image frame according to the sharpness values of all the image blocks of each image frame.
8. A frame selection apparatus, the apparatus comprising:
a first acquisition module, configured to acquire a luminance value of each of a plurality of image frames;
a first determining module, configured to determine, according to a luminance value of each of the image frames, a degree of luminance difference between each of the image frames and other image frames in the plurality of image frames;
A second determining module, configured to determine a candidate image frame from the plurality of image frames according to the brightness difference degree corresponding to each image frame, and determine a reference image frame from the candidate image frames based on a sharpness value of the candidate image frame;
The first determining module is specifically configured to determine, according to the luminance value of each image frame, a target number of image frames whose differences from the luminance value of each image frame are smaller than a first difference threshold; and taking the target quantity corresponding to each image frame as the brightness difference degree corresponding to each image frame.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 7.
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