CN114466147A - Video brightness adjusting method and device, electronic equipment and storage medium - Google Patents
Video brightness adjusting method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application provides a method and a device for adjusting video brightness, an electronic device and a storage medium, wherein the method for adjusting the video brightness comprises the following steps: obtaining the brightness of a first video frame of a video frame to be processed; when the brightness of the first video frame is smaller than a preset first brightness threshold value, adopting a preset brightness nonlinear mapping function to adjust the brightness of the video frame to be processed, and obtaining a brightness-adjusted third video frame; when the brightness of the first video frame is between the preset first brightness threshold and the second brightness threshold, obtaining a brightness mixing mapping function matched with the brightness of the first video frame; adopting the brightness mixing mapping function to adjust the brightness of the video frame to be processed to obtain a second video frame after brightness adjustment; and the brightness of the first video frame and the brightness of the video frame of the second video frame after brightness adjustment have a negative correlation data relationship.
Description
Technical Field
The present application relates to the field of image processing, and in particular, to a method and an apparatus for adjusting video brightness, an electronic device, and a storage medium.
Background
With the development of multimedia technology, people have higher and higher requirements on the quality and form of videos, and therefore, the processing of the videos is also important.
In an actual video shooting process, a problem of video unsharpness due to poor shooting scenes of the video may occur, such as: the problem that a subject object in a video cannot be clearly viewed is caused by the problem of the brightness of a shot scene in a video shot in a scene such as dark light or backlight.
Therefore, how to optimize video becomes a technical problem which needs to be solved urgently in the field.
Disclosure of Invention
The application provides a method and a device for adjusting video brightness, an electronic device and a storage medium, so as to solve the technical problems in the prior art.
The application provides a method for adjusting video brightness, which comprises the following steps:
obtaining first video frame brightness of a video frame to be processed;
when the brightness of the first video frame is smaller than a preset first brightness threshold value, adopting a preset brightness nonlinear mapping function to adjust the brightness of the video frame to be processed, and obtaining a brightness-adjusted third video frame;
when the brightness of the first video frame is between the preset first brightness threshold and the second brightness threshold, obtaining a brightness mixing mapping function matched with the brightness of the first video frame; adopting the brightness mixing mapping function to adjust the brightness of the video frame to be processed to obtain a second video frame after brightness adjustment; and the brightness of the first video frame and the brightness of the video frame of the second video frame after brightness adjustment have a negative correlation data relationship.
Optionally, the obtaining the brightness of the first video frame of the video frame to be processed includes:
obtaining the pixel brightness of each pixel point of the video frame to be processed;
and carrying out mean processing on the pixel brightness of each pixel point, and taking the brightness data after the mean processing as the first video frame brightness of the video frame to be processed.
Optionally, the performing brightness adjustment on the video frame to be processed by using a preset brightness nonlinear mapping function to obtain a third video frame after brightness adjustment includes:
determining a brightness nonlinear mapping function for adjusting the brightness of the video frame to be processed;
inputting the pixel brightness of each pixel point of the video frame to be processed into the brightness nonlinear mapping function to obtain the pixel brightness of each pixel point after brightness adjustment output by the brightness nonlinear mapping function;
and obtaining a third video frame after the brightness adjustment according to the pixel brightness of each pixel point after the brightness adjustment.
Optionally, the performing brightness adjustment on the video frame to be processed by using a preset brightness nonlinear mapping function to obtain a third video frame after brightness adjustment includes:
determining the nonlinear mapping brightness corresponding to the pixel brightness of each pixel point according to a brightness value mapping table;
obtaining a third video frame after the brightness is adjusted according to the nonlinear mapping brightness;
the brightness value mapping table is a brightness value mapping table which is obtained according to a preset brightness nonlinear mapping function and is used for mapping the brightness of the video frame pixel points to the nonlinear mapping brightness values.
Optionally, the nonlinear mapping function is a gamma mapping function;
the brightness adjustment of the video frame to be processed by adopting a preset brightness nonlinear mapping function to obtain a third video frame after the brightness adjustment comprises the following steps:
normalizing the pixel brightness of each pixel point;
inputting the pixel brightness of each pixel point after normalization processing into the gamma mapping function to obtain first pixel brightness output by the gamma mapping function and obtained after brightness of each pixel point is improved;
performing inverse normalization processing on the first pixel brightness to obtain second pixel brightness of each pixel point in a displayable range;
and obtaining the third video frame after the brightness adjustment according to the second pixel brightness of each pixel point.
Optionally, the luminance mixing mapping function is obtained by:
according to the brightness of the first video frame, setting first weight data and second weight data for the brightness nonlinear mapping function and the brightness equivalent mapping function respectively, wherein the first weight data has a negative correlation data relationship with the brightness of the first video frame, and the second weight data has a positive correlation data relationship with the brightness of the first video frame;
a luminance mixture mapping function consisting of a sum of the luminance nonlinear mapping function in which the first weight data is set and the equivalence mapping function in which the second weight data is set is obtained.
Optionally, the performing brightness adjustment on the video frame to be processed by using the brightness mixing mapping function to obtain a second video frame after brightness adjustment includes:
constructing a hybrid gamma coefficient of the luminance hybrid mapping function according to a first gamma coefficient of the gamma mapping function, the first video frame luminance, a first luminance threshold value, and the second luminance threshold value, wherein the hybrid gamma coefficient approaches 1 when the first luminance data approaches the second luminance threshold value, and the hybrid gamma coefficient approaches the first gamma coefficient when the first luminance data approaches the first luminance threshold value;
and adjusting the pixel brightness of each pixel point according to the brightness mixing mapping function to obtain a second video frame with adjusted brightness.
Optionally, the performing brightness adjustment on the video frame to be processed by using the brightness mixing mapping function to obtain a second video frame after brightness adjustment includes:
dividing the space between the first brightness threshold and the second brightness threshold into at least two brightness subintervals
Determining a brightness nonlinear mapping subfunction corresponding to a brightness subinterval where the brightness of the first video frame is located;
and adjusting the pixel brightness of each pixel point of the video frame to be processed according to the brightness nonlinear mapping sub-function to obtain a brightness-adjusted third video frame.
Starting from the luminance nonlinear mapping sub-function corresponding to the first luminance sub-interval, the luminance nonlinear mapping sub-function sequentially approaches to the luminance equivalent mapping function.
Optionally, the determining a luminance nonlinear mapping sub-function corresponding to a luminance sub-interval where the luminance of the first video frame is located includes:
determining boundary brightness data of a brightness subinterval where the first video frame brightness is located;
and determining a brightness nonlinear mapping subfunction corresponding to the brightness subinterval where the brightness of the first video frame is located according to the average value of the boundary brightness data.
Optionally, before the step of obtaining the first video brightness of the video frame to be processed, the method further includes:
the method comprises the steps that first user equipment obtains a real-time dynamic video of a first user through a camera device, and the real-time dynamic video frame of the first user is used as the video frame to be processed.
Optionally, after obtaining the second video frame after brightness adjustment, the method further includes:
and the first user equipment sends the second video frame to the second user equipment.
The present application also provides an electronic device, comprising:
a processor;
memory for storing a program of a method, which when read run by a processor, performs the method of any of claims 1-11.
Compared with the prior art, the method has the following advantages:
according to the method for adjusting the video brightness, the brightness interval of the video frame is divided through the first brightness threshold and the second brightness threshold, different mapping functions are used for processing the pixel brightness of each pixel of the video frame when the video frame brightness is in different intervals, and meanwhile when the video frame brightness is between the preset first brightness threshold and the second brightness threshold, the brightness mixed mapping function matched with the first brightness threshold is determined according to the position of the first video frame brightness between the first brightness threshold and the second brightness threshold, so that the problem of brightness flicker in the process of lowering the video frame brightness is avoided.
Drawings
Fig. 1a is a schematic view of an application scenario of a video brightness adjustment method according to a first embodiment of the present application;
fig. 1b is a schematic view of another application scenario of a video brightness adjustment method according to a first embodiment of the present application;
fig. 1 is a flowchart of a video brightness adjustment method according to a first embodiment of the present application;
FIG. 2 is a functional graph of a luminance non-linear mapping function and a luminance iso-mapping function provided in a first embodiment of the present application;
fig. 3 is a schematic diagram of a brightness abrupt change curve of a pixel point according to a first embodiment of the present application;
FIG. 4 is a diagram illustrating a brightness ramp obtained by a continuity function according to a first embodiment of the present application;
fig. 5 is a graph of a luminance nonlinear mapping function corresponding to each luminance subinterval according to the first embodiment of the present application;
fig. 6 is a schematic structural diagram of a video brightness adjustment apparatus according to a second embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiments in many different forms than those described herein and is therefore not limited to the specific embodiments disclosed below.
First, in order to facilitate understanding of the method for adjusting video brightness provided in the present application, first, the method is described in conjunction with a specific usage scenario of the video brightness adjustment method.
Please refer to fig. 1a, which is a schematic view illustrating an application scenario of a video brightness adjustment method according to a first embodiment of the present application.
FIG. 1a includes: a first user 101a, a first user terminal 102a, a second user 103a, a second user terminal 104 a. The scenario described herein is a process of a video conference between the first user 101a and the second user 102 through corresponding user terminals. The first user end 104a includes: an obtaining unit 201a and an adjusting unit 202a.
Assuming that the first user 101a is the subject of speaking in the videoconference, when the camera of the first user 102a captures the speaking video of the first user 101a, the first user terminal 102 sends each video frame in the speaking video to the obtaining unit 201a, the obtaining unit 201a takes the video frame as a first video frame after receiving the video frame, and analyzing the first video frame to obtain a first video frame brightness of the video frame, and then, sending the first video frame brightness and the first video frame to the adjusting unit 202a together, the adjusting unit 202a determining a brightness interval where the first video frame brightness is located according to the first video frame brightness, the brightness interval is divided by a first brightness threshold and a second brightness threshold, wherein the first brightness threshold is smaller than the second brightness threshold.
If the brightness of the first video frame is smaller than a first brightness threshold value, the brightness of the video frame is considered to be dark, at the moment, the pixel brightness of each pixel point in the first video frame is adjusted through a preset nonlinear mapping function, the brightness of each pixel point in the first video frame is improved, and a third video frame with adjusted brightness is obtained based on the pixel brightness of the pixel point after adjustment;
and if the brightness of the first video frame is greater than or equal to the first brightness threshold and smaller than the second brightness threshold, performing brightness adjustment on the video frame to be processed according to the position of the brightness of the first video frame between the first brightness threshold and the second brightness threshold, and obtaining a brightness-adjusted second video frame.
And if the brightness of the first video frame is greater than or equal to the second brightness threshold, the brightness of the first video frame is considered to be normal brightness, and at the moment, the first video frame is not processed.
After the first user 101a processes the acquired video frames through the obtaining unit 201a and the adjusting unit 202a, the processed video frames are sequentially sent to the second user 102a so that the second user 102a can display the speaking video of the first user 101 a.
It should be noted that the application scenario of the video brightness adjustment method provided in the embodiment is not limited in the present application, and the video brightness adjustment method may also be applied to the fields of live video, short video, and the like. For example: in this application, a first user 101a in fig. 1a may be a network anchor, a corresponding first user 102a may be a live end used by the anchor to start live broadcasting, a second user 103a may be a user watching live broadcasting, and a corresponding second user 104a may be a terminal device used by the user to watch live broadcasting.
For another example: please refer to fig. 1b, which is a schematic view of another application scenario of the video brightness adjustment method according to the first embodiment of the present application. FIG. 1b includes: a third user 105b and a third user 106b, wherein the third user 106b is used to show the third user 105b short videos shot by the user or other users. The third client 106b also includes an obtaining unit 201a and an adjusting unit 202a, when a user shoots a short video or obtains a short video shot by another user, the short video is firstly sent to the obtaining unit 201a, the obtaining unit 201a determines first video brightness of a short video frame, and then the adjusting unit 202a determines a brightness interval of the first video frame brightness according to the first video frame brightness, and adjusts the video frame to be processed.
Corresponding to the above-mentioned scene embodiments, a first embodiment of the present application provides a method for adjusting video brightness, please refer to fig. 1, which is a flowchart of the method for adjusting video brightness according to the first embodiment of the present application. The method comprises the following steps: step S101 to step S103.
Step S101, obtaining the brightness of a first video frame of a video frame to be processed.
The video frame to be processed can be understood as a video frame in a whole video. For example: when a video conference is carried out, video frames of real-time videos sent among different clients, or video frames of short videos acquired from a network, or video frames of live videos when a user watches live videos, and the like are broadcasted.
In an optional embodiment of the present application, the first video frame brightness of the to-be-processed video frame may be an average brightness of the to-be-processed video frame, and specifically, the first video frame brightness may be obtained through the following steps S101-1 to S101-2:
s101-1, obtaining the pixel brightness of each pixel of the video frame to be processed;
and S101-2, carrying out mean processing on the brightness of each pixel point, and taking the brightness data after the mean processing as the first video frame brightness of the video frame to be processed.
It should be understood that the above-mentioned manner of obtaining the mean value of the brightness of each pixel of the video frame is only an optional implementation manner of obtaining the brightness of the first video frame in the present application, and the brightness of the first video frame may also be obtained in different manners in other embodiments of the present application, for example: after the pixel brightness of each pixel of the video frame to be processed is determined, determining the normal distribution of the pixel brightness, and determining the pixel brightness with the highest occurrence probability as the first video frame brightness, which is not limited in this application.
And S102, when the brightness of the first video frame is smaller than a preset first brightness threshold value, adopting a preset brightness nonlinear mapping function to adjust the brightness of the video frame to be processed, and obtaining a brightness-adjusted third video frame.
Step S103, when the brightness of the first video frame is between a preset first brightness threshold and a preset second brightness threshold, obtaining a brightness mixing mapping function matched with the brightness of the first video frame; adopting the brightness mixing mapping function to adjust the brightness of the video frame to be processed to obtain a second video frame after brightness adjustment; and the brightness of the first video frame and the brightness of the video frame of the second video frame after brightness adjustment have a negative correlation data relationship.
In the first embodiment of the present application, the first luminance threshold and the second luminance threshold are boundary values dividing a light and dark interval of a video frame, and the first luminance threshold is smaller than the second luminance threshold.
If the brightness of the first video frame is smaller than the first brightness threshold, the brightness of the video frame to be processed is considered to be dark, and the brightness of the video frame needs to be improved; if the brightness of the first video frame is greater than or equal to the second brightness threshold, the brightness of the video frame to be processed is considered to be normal brightness, and the video frame to be processed does not need to be processed at the moment; and if the brightness of the first video frame is greater than or equal to the first brightness threshold and less than the second brightness threshold, the brightness of the video frame to be processed is considered to be in a transition interval from the darker brightness to the normal brightness.
For example, suppose the video to be processed is a real-time dynamic video of a certain anchor in a live broadcast scene, limited by factors such as lighting and weather of the live broadcast site of the anchor, the video frame brightness of the anchor real-time motion video may be caused to be less than the first brightness threshold, and, at this time, considering that the brightness of the video frame to be processed is relatively dark, at this time, the overall brightness of the video frame needs to be increased, further, along with the change of light, weather or the position of the anchor, the brightness of the video frame of the anchor real-time dynamic video may also be caused to be between a first brightness threshold and a second brightness threshold, at this time, considering that the brightness of the video frame of the video is in a transition interval from the dark to a normal, at this time, a transitional way is needed to adjust the video frame brightness so that the adjusted video frame brightness is not higher than the normal level of the video frame brightness.
The brightness adjustment is performed on each video frame in a video frame brightness interval mode, so that the problem of video over-explosion possibly caused by forced adjustment of video brightness in part of video scenes is avoided.
Specifically, if the luminance of the first video frame is smaller than the first luminance threshold, the pixel luminance of each pixel point of the first video frame may be increased according to a preset luminance nonlinear mapping function.
It can be understood that, if a brightness value mapping table obtained based on the brightness nonlinear mapping function and used for mapping the brightness of the pixels of the video frame to the nonlinear mapping brightness value is stored in advance, the brightness of the pixels of the first video frame after the brightness of each pixel is increased may also be obtained in a table lookup manner.
If the brightness of the first video frame is greater than or equal to the first brightness threshold, then the first brightness threshold does not need to be processed. For ease of description, the first video frame luminance is processed when it is between the first luminance threshold and the second luminance threshold. In the first embodiment of the present application, when the luminance of the first video frame is greater than or equal to the first luminance threshold, the luminance of the first video frame is processed by using the luminance equivalence mapping function.
The luminance equivalence mapping function is one of mapping functions, after the pixel luminance of each pixel of a video frame to be processed is input into the luminance equivalence mapping function, the luminance value of the pixel output by the luminance equivalence mapping function is the same as the luminance value of the pixel input before, namely, y is x, wherein y is the pixel luminance output by the luminance equivalence mapping function, and x is the pixel luminance input by the luminance equivalence mapping function.
To facilitate understanding of the above-mentioned non-linear luminance mapping function and equal luminance mapping function, please refer to fig. 2, which is a function graph of the non-linear luminance mapping function and equal luminance mapping function provided in the first embodiment of the present application.
As shown in fig. 2, the horizontal axis in fig. 2 represents the pixel brightness of each pixel of the input function, and the vertical axis represents the mapping value of the pixel brightness output by the function. As can be seen from fig. 2, the luminance nonlinear mapping function is used to improve the luminance of each pixel in the video frame, and the luminance of each pixel processed by the luminance equivalent mapping function is unchanged.
In a prior art, usually, a dark state and a normal state of a video are distinguished only by a brightness threshold, as shown in fig. 2, if the brightness of a first video frame of a video frame to be processed is transited from the dark state to the normal state at a certain time point, at this time, a function for processing the video frame to be processed is suddenly changed by a brightness nonlinear mapping function, so as to pass through a brightness equivalent mapping function, the brightness of each pixel point of the video frame to be processed may suddenly change at a brightness sudden change position in fig. 2, resulting in a brightness flicker problem.
Please refer to fig. 3, which is a schematic diagram of a brightness abrupt change curve of a pixel according to a first embodiment of the present application. The positions of the abrupt changes in brightness shown in fig. 3 correspond to the abrupt change in brightness positions in fig. 2. The horizontal axis of fig. 3 represents the luminance of the first video frame, and the vertical axis represents the pixel luminance of a pixel point in the video.
Specifically, as shown in fig. 3, it is assumed that a luminance threshold for distinguishing a video offset dark state from a normal state is 75, and the luminance of a certain pixel in a video frame is 100, when the luminance of the video frame is less than the luminance threshold 75, the luminance of the pixel is mapped to 145 by a luminance nonlinear mapping function, and when the luminance of the video frame is gradually greater than or equal to 75, the luminance of the pixel is suddenly changed to 100, so that an obvious flicker phenomenon that human eyes can perceive can occur.
In order to avoid the problem of brightness flicker, step S102 mentioned above in the first embodiment of the present application sets a transition state between the dark state and the normal state of the video frame, that is, when the brightness of the first video frame is between the first brightness threshold and the second brightness threshold, the brightness of the video frame is in the transition state.
Specifically, when the luminance of the first video frame is between the first luminance threshold and the second luminance threshold, the luminance mixture mapping function for transitioning from the luminance nonlinear mapping function to the luminance equivalence mapping function may be determined according to the position of the luminance of the first video frame between the first luminance threshold and the second luminance threshold; and then adjusting the pixel brightness of each pixel point according to the brightness mixing mapping function to obtain a second video frame with adjusted brightness.
In an alternative embodiment of the present application, the luminance blending mapping function is composed of both the luminance nonlinear mapping function and the luminance iso-mapping function.
Specifically, the luminance nonlinear mapping function is obtained through the following steps S102-1 to S102-2:
step S102-1, according to the brightness of the first video frame, setting first weight data and second weight data for the brightness nonlinear mapping function and the brightness equivalent mapping function respectively, wherein the first weight data has a negative correlation data relationship with the brightness of the first video frame, and the second weight data has a positive correlation data relationship with the brightness of the first video frame;
step S102-2, a brightness mixing mapping function composed of the sum of the brightness nonlinear mapping function for setting the first weight data and the equivalence mapping function for setting the second weight data is obtained.
Specifically, the first weight data may be
The second weight data may be
Among them, Thresh1Represents a first brightness threshold, Thresh2Representing a second brightness threshold and Aveluma representing the first video frame brightness.
Further, the luminance blending mapping function is specifically:
wherein x represents the video frame pixel brightness, and y represents the adjusted video frame pixel brightness obtained according to the video frame pixel brightness mapping.
As can be seen from the above formula, when the first video frame luminance Aveluma approaches the second luminance threshold, the first weight data gradually decreases until the first weight data is 0, and the luminance blend mapping function is equivalent to y-x, that is, equivalent to the luminance equivalent mapping function; when the first video frame luminance Aveluma approaches the first luminance threshold, the second weight data gradually decreases until the second weight data is 0, and the luminance blending mapping function is equivalent to y ═ f (x), that is, equivalent to the luminance nonlinear mapping function.
It can be seen that when the first video frame luminance is at different positions between the first luminance threshold and the second luminance threshold, the luminance blending mapping function also varies with the position.
Specifically, combining the luminance nonlinear mapping function, the luminance mixture mapping function, and the luminance equivalence mapping function, the formula for adjusting the pixel luminance of each pixel of the first video frame can be represented by the following continuous function formula (1):
wherein x represents video frame pixel brightness, y represents adjusted video frame pixel brightness, Thresh, obtained from the video frame pixel brightness mapping1Represents a first luminance threshold value, Thresh2Representing a second brightness threshold and Aveluma representing the first video frame brightness.
Please refer to fig. 4, which is a schematic diagram of a brightness ramp obtained by a continuity function according to a first embodiment of the present application. The horizontal axis in fig. 4 represents the brightness (Aveluma) of the first video frame, the vertical axis represents the pixel brightness of a pixel point in the video, the first brightness change point in fig. 4 corresponds to the first brightness threshold, and the second brightness change point corresponds to the second brightness threshold.
Assuming that a first brightness threshold for distinguishing a video frequency from a dark state is 50, a second brightness threshold for distinguishing a transition state from a normal state is 100, and assuming that the brightness of a certain pixel in the video is 100, when the brightness of a first video frame is less than the first brightness threshold 50, the brightness of the pixel of the certain pixel is mapped to 145 by the mapping function, when the brightness of the first video frame is greater than or equal to 100, the brightness of the pixel of the certain pixel is unchanged, and when the brightness of the first video frame is between the first brightness threshold and the second brightness threshold, the brightness of the certain pixel is gradually reduced from 145 until 100 is reduced.
As can be seen from comparing fig. 4 and fig. 3, in the method for adjusting video brightness according to the first embodiment of the present application, the brightness interval of the video frame is divided by the first brightness threshold and the second brightness threshold, and when the brightness of the video frame is in different intervals, different mapping functions are used to process the pixel brightness of each pixel of the video frame, and when the brightness of the video frame is between the preset first brightness threshold and the preset second brightness threshold, the mixed mapping function for processing the brightness of each pixel is determined according to the position of the brightness of the first video frame between the first brightness threshold and the second brightness threshold, so that the problem of brightness flicker in the process of decreasing the brightness of the video frame is avoided.
Further, in another alternative embodiment of the present application, the luminance blending mapping function mentioned in step S102-2 may also be obtained in other manners.
In another alternative embodiment of the present application, the non-linear mapping function of luminance is assumed to be a gamma function, i.e. y ═ xa(0 < a < 1), wherein a is the gamma coefficient of the gamma function, x is the pixel brightness of the video frame, and y is the pixel brightness obtained after the gamma function mapping adjustment.
Specifically, the luminance blending mapping function may be obtained according to the following manner:
that is, a hybrid gamma coefficient of the luminance hybrid mapping function is constructed according to a first gamma coefficient of the gamma mapping function, the first video frame luminance, a first luminance threshold value, and the second luminance threshold value, wherein the hybrid gamma coefficient approaches 1 when the first luminance data approaches the second luminance threshold value, and the hybrid gamma coefficient approaches the first gamma coefficient when the first luminance data approaches the first luminance threshold value;
wherein the first gamma coefficient is a mentioned above.
The brightness mixing mapping function is specifically
Wherein x represents video frame pixel brightness, y represents adjusted video frame pixel brightness, Thresh, obtained from the video frame pixel brightness mapping1Represents a first brightness threshold, Thresh2Representing a second brightness threshold and Aveluma representing the first video frame brightness.
Based on the above formula, the blending mapping function is close to y ═ x when the brightness of the first video frame approaches the second brightness threshold, that is, the blending mapping function is close to the brightness equivalent mapping function, and when the brightness of the first video frame approaches the first brightness threshold, the blending mapping function is close to y ═ xaI.e. approaching the gamma mapping function.
It follows that the luminance blend mapping function can also be obtained by the above method.
It should be noted that, if the non-linear mapping function adopts the gamma function, when the luminance of the first video frame is smaller than the first luminance threshold, the luminance of the pixel of each pixel of the video frame to be processed is processed through the gamma function, and the luminance of the pixel of each pixel of the video frame is also normalized, in an actual application process, the normalization process is to divide the luminance value of each pixel by the maximum pixel luminance value, and normalize the input luminance of the pixel to the range of [0, 1 ].
Then, inputting the pixel brightness of each pixel point after normalization processing into the gamma mapping function to obtain first pixel brightness output by the gamma mapping function after brightness of each pixel point is improved; and finally, adjusting the pixel brightness of each pixel point of the video frame to be processed according to the brightness nonlinear mapping sub-function to obtain a third video frame with the brightness adjusted and within a visual range.
In another alternative embodiment of the present application, the luminance blending mapping function mentioned in step S102-2 can also be obtained by using the following steps S201 to S203:
step S201, dividing the space between the first brightness threshold and the second brightness threshold into at least two brightness subintervals;
assuming that the first brightness threshold is Thresh1The second brightness threshold is Thresh2Then, the value between the first brightness threshold and the second brightness threshold can be set to [ Thresh [ ]1，Thresh11]，[Thresh1，Thresh12]，[Thresh1，Thresh13]And a number of luminance sub-intervals.
Step S202, determining a brightness nonlinear mapping subfunction corresponding to a brightness subinterval where the brightness of the first video frame is located;
step S203, adjusting the pixel brightness of each pixel point of the video frame to be processed according to the brightness nonlinear mapping sub-function, and obtaining a third video frame after brightness adjustment.
For one of the cells, a fixed non-linear mapping function may be selected to process the pixel intensities in the video frame to be processed. Specifically, the non-linear mapping function of each subinterval may be a gamma function, and the corresponding gamma coefficient may be an average value of boundaries of each brightness subinterval.
Further, in order to obtain the non-linear mapping function of each subinterval, the non-linear mapping function of each subinterval may be stored in a table in advance.
Please refer to fig. 5, which is a graph illustrating a luminance non-linear mapping function corresponding to each luminance sub-interval according to a first embodiment of the present application. As can be seen from fig. 5, the degree of the nonlinear mapping function corresponding to each subinterval gradually decreases, that is, as the brightness of the first video frame continuously increases, the nonlinear mapping function adopted by each subinterval gradually approaches to the brightness equivalent mapping function. And processing the pixel brightness based on the nonlinear mapping function corresponding to each subinterval, so that the effect of gradual change of the pixel brightness can be realized, and the problem of brightness flicker generated in the process of reducing the video frame brightness is avoided.
Corresponding to the first embodiment, the second embodiment of the present application also provides an apparatus for adjusting video brightness, which is substantially similar to the method embodiment described above, so that the description is relatively simple, and please refer to the partial description of the first embodiment, and the description of the apparatus in the second embodiment of the present application is only schematic.
Please refer to fig. 6, which is a schematic structural diagram of a video brightness adjusting apparatus according to a second embodiment of the present application.
The device comprises:
an obtaining unit 601, configured to obtain a first video frame brightness of a video frame to be processed;
a first adjusting unit 602, configured to, when the brightness of the first video frame is smaller than a preset first brightness threshold, perform brightness adjustment on the video frame to be processed by using a preset brightness nonlinear mapping function, to obtain a brightness-adjusted third video frame;
a second adjusting unit 603, configured to obtain a luminance mixing mapping function matched with the luminance of the first video frame when the luminance of the first video frame is between the preset first luminance threshold and a second luminance threshold; adopting the brightness mixing mapping function to adjust the brightness of the video frame to be processed to obtain a second video frame after brightness adjustment; and the brightness of the first video frame and the brightness of the video frame of the second video frame after brightness adjustment have a negative correlation data relationship.
Optionally, the performing brightness adjustment on the video frame to be processed by using a preset brightness nonlinear mapping function to obtain a third video frame after brightness adjustment includes:
determining a brightness nonlinear mapping function for adjusting the brightness of the video frame to be processed;
inputting the pixel brightness of each pixel point of the video frame to be processed into the brightness nonlinear mapping function to obtain the pixel brightness of each pixel point after brightness adjustment output by the brightness nonlinear mapping function;
and obtaining a third video frame after the brightness adjustment according to the pixel brightness of each pixel point after the brightness adjustment.
Optionally, the adjusting the brightness of the video frame to be processed by using a preset brightness nonlinear mapping function to obtain a third video frame after brightness adjustment includes:
determining the nonlinear mapping brightness corresponding to the pixel brightness of each pixel point according to a brightness value mapping table;
obtaining a third video frame after the brightness is adjusted according to the nonlinear mapping brightness;
the brightness value mapping table is obtained according to a preset brightness nonlinear mapping function and is used for mapping brightness of the video frame pixel points to nonlinear mapping brightness values.
Optionally, the nonlinear mapping function is a gamma mapping function;
the brightness adjustment of the video frame to be processed by adopting a preset brightness nonlinear mapping function to obtain a third video frame after the brightness adjustment comprises the following steps:
normalizing the pixel brightness of each pixel point;
inputting the pixel brightness of each pixel point after normalization processing into the gamma mapping function to obtain first pixel brightness output by the gamma mapping function and obtained after brightness of each pixel point is improved;
performing inverse normalization processing on the first pixel brightness to obtain second pixel brightness of each pixel point in a displayable range;
and obtaining the third video frame after the brightness adjustment according to the second pixel brightness of each pixel point.
Optionally, the luminance mixing mapping function is obtained by:
according to the brightness of the first video frame, setting first weight data and second weight data for the brightness nonlinear mapping function and the brightness equivalent mapping function respectively, wherein the first weight data has a negative correlation data relationship with the brightness of the first video frame, and the second weight data has a positive correlation data relationship with the brightness of the first video frame;
a luminance blend mapping function consisting of the sum of the luminance nonlinear mapping function setting the first weight data and the equivalence mapping function setting the second weight data is obtained.
Optionally, the performing brightness adjustment on the video frame to be processed by using the brightness mixing mapping function to obtain a second video frame after brightness adjustment includes:
constructing a hybrid gamma coefficient of the luminance hybrid mapping function according to a first gamma coefficient of the gamma mapping function, the first video frame luminance, a first luminance threshold value, and the second luminance threshold value, wherein the hybrid gamma coefficient approaches 1 when the first luminance data approaches the second luminance threshold value, and the hybrid gamma coefficient approaches the first gamma coefficient when the first luminance data approaches the first luminance threshold value;
and adjusting the pixel brightness of each pixel point according to the brightness mixing mapping function to obtain a second video frame with adjusted brightness.
Optionally, the performing brightness adjustment on the video frame to be processed by using the brightness mixing mapping function to obtain a second video frame after brightness adjustment includes:
dividing the space between the first brightness threshold and the second brightness threshold into at least two brightness subintervals
Determining a brightness nonlinear mapping subfunction corresponding to a brightness subinterval where the brightness of the first video frame is located;
and adjusting the pixel brightness of each pixel point of the video frame to be processed according to the brightness nonlinear mapping sub-function to obtain a brightness-adjusted third video frame.
Starting from the luminance nonlinear mapping sub-function corresponding to the first luminance sub-interval, the luminance nonlinear mapping sub-function sequentially approaches to the luminance equivalent mapping function.
Optionally, the determining a luminance nonlinear mapping subfunction corresponding to a luminance subinterval where the luminance of the first video frame is located includes:
determining boundary brightness data of a brightness subinterval where the first video frame brightness is located;
and determining a brightness nonlinear mapping subfunction corresponding to the brightness subinterval where the brightness of the first video frame is located according to the average value of the boundary brightness data.
Please refer to fig. 7, which is a schematic structural diagram of an electronic device according to a third embodiment of the present application.
The electronic device includes: a processor 701;
a memory 702 for storing a program of the method, which when read and executed by the processor 701 performs any one of the methods of the first embodiment of the present application.
Another embodiment of the present application also provides a computer storage medium storing a computer program, which when executed performs any one of the above methods.
It should be noted that, for the detailed description of the electronic device and the computer storage medium provided in the embodiments of the present application, reference may be made to the related description of the foregoing method embodiments provided in the present application, and details are not repeated herein.
Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application, therefore, the scope of the present application should be determined by the claims that follow.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
1. Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include non-transitory computer readable media (transient media), such as modulated data signals and carrier waves.
2. It will be apparent to those skilled in the art that embodiments of the present application may be provided as a system or an electronic device. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Claims (12)
1. A method for adjusting video brightness, comprising:
obtaining first video frame brightness of a video frame to be processed;
when the brightness of the first video frame is smaller than a preset first brightness threshold value, adopting a preset brightness nonlinear mapping function to adjust the brightness of the video frame to be processed, and obtaining a brightness-adjusted third video frame;
when the brightness of the first video frame is between the preset first brightness threshold value and a second brightness threshold value, obtaining a brightness mixing mapping function matched with the brightness of the first video frame; adopting the brightness mixing mapping function to adjust the brightness of the video frame to be processed to obtain a second video frame after brightness adjustment; and the brightness of the first video frame and the brightness of the video frame of the second video frame after brightness adjustment have a negative correlation data relationship.
2. The method of claim 1, wherein obtaining the first video frame luminance of the video frame to be processed comprises:
obtaining the pixel brightness of each pixel point of the video frame to be processed;
and carrying out mean processing on the pixel brightness of each pixel point, and taking the brightness data after the mean processing as the first video frame brightness of the video frame to be processed.
3. The method according to claim 2, wherein the performing brightness adjustment on the video frame to be processed by using a preset brightness non-linear mapping function to obtain a brightness-adjusted third video frame comprises:
determining a brightness nonlinear mapping function for adjusting the brightness of the video frame to be processed;
inputting the pixel brightness of each pixel point of the video frame to be processed into the brightness nonlinear mapping function to obtain the pixel brightness of each pixel point after brightness adjustment output by the brightness nonlinear mapping function;
and obtaining a third video frame after the brightness adjustment according to the pixel brightness of each pixel point after the brightness adjustment.
4. The method according to claim 2, wherein the performing brightness adjustment on the video frame to be processed by using a preset brightness non-linear mapping function to obtain a brightness-adjusted third video frame comprises:
determining the nonlinear mapping brightness corresponding to the pixel brightness of each pixel point according to a brightness value mapping table;
obtaining a third video frame after the brightness is adjusted according to the nonlinear mapping brightness;
the brightness value mapping table is a brightness value mapping table which is obtained according to a preset brightness nonlinear mapping function and is used for mapping the brightness of the video frame pixel points to the nonlinear mapping brightness values.
5. The method of claim 2, wherein the non-linear mapping function is a gamma mapping function;
the brightness adjustment of the video frame to be processed by adopting a preset brightness nonlinear mapping function to obtain a third video frame after the brightness adjustment comprises the following steps:
normalizing the pixel brightness of each pixel point;
inputting the pixel brightness of each pixel point after normalization processing into the gamma mapping function to obtain first pixel brightness output by the gamma mapping function and obtained after brightness of each pixel point is improved;
performing inverse normalization processing on the first pixel brightness to obtain second pixel brightness of each pixel point in a displayable range;
and obtaining the third video frame after the brightness adjustment according to the second pixel brightness of each pixel point.
6. The method of claim 1, wherein the luminance blending mapping function is obtained by:
according to the brightness of the first video frame, setting first weight data and second weight data for the brightness nonlinear mapping function and the brightness equivalent mapping function respectively, wherein the first weight data has a negative correlation data relationship with the brightness of the first video frame, and the second weight data has a positive correlation data relationship with the brightness of the first video frame;
a luminance blend mapping function consisting of the sum of the luminance nonlinear mapping function setting the first weight data and the equivalence mapping function setting the second weight data is obtained.
7. The method according to claim 5, wherein said performing brightness adjustment on the video frame to be processed by using the brightness blending mapping function to obtain a second video frame with adjusted brightness comprises:
constructing a hybrid gamma coefficient of the luminance hybrid mapping function according to a first gamma coefficient of the gamma mapping function, the first video frame luminance, a first luminance threshold value, and the second luminance threshold value, wherein the hybrid gamma coefficient approaches 1 when the first luminance data approaches the second luminance threshold value, and the hybrid gamma coefficient approaches the first gamma coefficient when the first luminance data approaches the first luminance threshold value;
and adjusting the pixel brightness of each pixel point according to the brightness mixing mapping function to obtain a second video frame with adjusted brightness.
8. The method according to claim 1, wherein said performing brightness adjustment on the video frame to be processed by using the brightness blending mapping function to obtain a second video frame with adjusted brightness comprises:
dividing the space between the first brightness threshold and the second brightness threshold into at least two brightness subintervals
Determining a brightness nonlinear mapping subfunction corresponding to a brightness subinterval where the brightness of the first video frame is located;
and adjusting the pixel brightness of each pixel point of the video frame to be processed according to the brightness nonlinear mapping sub-function to obtain a brightness-adjusted third video frame.
Starting from the luminance nonlinear mapping sub-function corresponding to the first luminance sub-interval, the luminance nonlinear mapping sub-function sequentially approaches to the luminance equivalent mapping function.
9. The method of claim 8, wherein the determining a luminance non-linear mapping sub-function corresponding to a luminance sub-interval in which the luminance of the first video frame is located comprises:
determining boundary brightness data of a brightness subinterval where the first video frame brightness is located;
and determining a brightness nonlinear mapping subfunction corresponding to the brightness subinterval where the brightness of the first video frame is located according to the average value of the boundary brightness data.
10. The method of claim 1, wherein prior to the step of obtaining the first video luminance of the video frame to be processed, the method further comprises:
the method comprises the steps that first user equipment obtains a real-time dynamic video of a first user through a camera device, and the real-time dynamic video frame of the first user is used as the video frame to be processed.
11. The method of claim 10, wherein after obtaining the second video frame after brightness adjustment, the method further comprises:
and the first user equipment sends the second video frame to the second user equipment.
12. An electronic device, comprising:
a processor;
memory for storing a program of a method, which when read run by a processor, performs the method of any of claims 1-11.
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