WO2018040599A1

WO2018040599A1 - Method and device for processing video frame, and computer-readable storage medium

Info

Publication number: WO2018040599A1
Application number: PCT/CN2017/082524
Authority: WO
Inventors: 文锦松; 顾国华; 徐科
Original assignee: 深圳市中兴微电子技术有限公司
Priority date: 2016-08-31
Filing date: 2017-04-28
Publication date: 2018-03-08
Also published as: CN107786865B; CN107786865A

Abstract

Disclosed in an embodiment of the invention are a method and device for processing a video frame, and a computer-readable storage medium. The method comprises: determining, according to a Y component of a high dynamic range (HDR) video frame, a self-adaptive curve corresponding to the HDR video frame; adjusting, according to the self-adaptive curve, the Y component of the HDR video frame, and outputting a processed Y component; and after performing, according to a preset mapping relationship, conversion on a C component of the HDR video frame, performing, according to a preset color range, color saturation enhancement on the converted C component to obtain a processed C component.

Description

Method, device and computer readable storage medium for processing video frames

Cross-reference to related applications

The present application is filed on the basis of the Chinese Patent Application Serial No. No. No. No. No. No. No. No. No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No No

Technical field

The present invention relates to video processing technologies, and in particular, to a video frame processing method, apparatus, and computer readable storage medium.

Background technique

HDR (High-Dynamic Range) can expand the brightness range of the display, showing more highlights and shadow details, bringing richer colors and more vivid and natural details to the picture, making the picture closer to people. Seeing what you see.

The brightness range that the human eye can feel is about 10 ^-3 -10 ⁶ nits, and the instantaneous contrast range can be as much as 10,000:1; while the brightness of consumer LCDs is generally around 300 to 400 nit. The contrast range is typically 2000:1. It can be seen that the brightness resolution of the human eye is much higher than that of the current mainstream display devices. Therefore, the HDR display technology is to increase the brightness range of the display. In general, it makes the display brightness brighter and makes the black appear darker.

The current display contrast limit is determined by the ITU BT.709 standard issued by the International Telecommunication Union (ITU) in 1990. The Electro-Optical Transfer Function (EOTF) in this standard is based on the characteristics of a cathode ray tube (CRT) display. However, the brightness of CRT monitors generally does not exceed 100 nit. For displays with brightness up to 400 nit or even 1000 nit, the BT.709 standard has bound the best display. Therefore, many organizations in the broadcasting and television industry have proposed new HDR display technology to play through HDR displays. HDR video to achieve a higher dynamic range of display.

However, most of the existing TVs are now based on the Standard Dynamic Range (SDR) display of the ITU BT.709 standard. As a result, users will not be able to experience the effects of HDR when playing HDR content on these displays.

Summary of the invention

In order to solve the above technical problem, embodiments of the present invention are directed to a method and apparatus for processing a video frame and a computer readable storage medium.

The technical solution of the embodiment of the present invention is implemented as follows:

In a first aspect, an embodiment of the present invention provides a method for processing a video frame, where the method includes:

Determining an adaptive curve corresponding to the HDR video frame according to a Y component of the HDR video frame;

Adjusting a Y component of the HDR video frame according to the adaptive curve, and outputting the processed Y component;

After the C component of the HDR video frame is converted according to a preset mapping relationship, the converted C component is further enhanced in color saturation according to a preset color interval to obtain a processed C component.

In the above solution, the determining, according to the Y component of the HDR video frame, the adaptation curve corresponding to the HDR video frame, including:

Obtaining metadata of the HDR video frame according to a Y component of the HDR video frame; wherein the metadata is used to indicate feature information of the HDR video frame;

Obtaining an output value of the upper boundary line and the lower boundary line at the end points of each interval according to the metadata of the HDR video frame and the preset number of intervals;

The upper boundary line and the lower boundary line are determined according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval;

The adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line.

In the above solution, the metadata of the HDR video frame is the luminance average of the HDR frame.

In the above solution, the obtaining, according to the metadata of the HDR video frame and the preset number of intervals, the output values of the upper boundary and the lower boundary at the end points of each interval, including:

Obtaining a gamma output value according to a luminance average of the HDR frame and a gamma conversion of Equation 1;

Wherein, input is the brightness average of the input HDR frame, output is the gamma output value, and γ is the gamma distortion coefficient;

Obtaining the derivative gradient[n] of the gamma output value according to Equation 2;

Where n is the point number within the interval;

Obtaining an output value at an end point of the low light interval according to a derivative of the gamma output value and a preset low light division threshold;

The output value of the end point of the highlight interval is obtained according to the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval.

In the above solution, the determining the upper boundary line and the lower boundary line according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval, including:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, the curve of the upper boundary line up_line in each interval is obtained according to Equation 3;

Where Δy ₁ represents the difference of the output of the low light interval; Δy ₂ represents the difference of the output of the medium light interval; the midpoint of the medium light interval is the intersection of the upper boundary and the lower boundary;

The lower limit line down_line is set to a straight line with a slope of 1.

In the above solution, the adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line, including:

Obtaining the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and Equation 4;

Where mean_up is 1024; and the expression clip3(mean, 0, mean_up) means: when mean<0, the value of the expression is 0, when mean>mean_up, the value of the expression is mean_up; when 0<mean< When mean_up, the value of the expression is mean.

In the above solution, after converting the C component of the HDR video frame according to a preset mapping relationship, the converted C component is enhanced according to a preset color interval, and the processed C is obtained. Component, including:

Converting the C component from the BT2020 domain to the BT709 domain according to a preset conversion matrix;

The converted C component is subjected to saturation enhancement according to the preset color interval and the enhancement coefficient corresponding to each color interval, and the processed C component is obtained.

In a second aspect, an embodiment of the present invention provides a processing apparatus for a video frame, where the apparatus includes: a determining unit, a Y component adjusting unit, and a C component processing unit;

The determining unit is configured to determine an adaptive curve corresponding to the HDR video frame according to a Y component of the HDR video frame;

The Y component adjustment unit is configured to adjust a Y component of the HDR video frame according to the adaptive curve, and output the processed Y component;

The C component processing unit is configured to convert the C component of the HDR video frame according to a preset mapping relationship, and then perform the color saturation enhancement according to the preset color interval by the converted C component, and obtain the processed C component.

In the foregoing solution, the determining unit is configured to acquire metadata of the HDR video frame according to a Y component of the HDR video frame, where the metadata is used to indicate feature information of the HDR video frame;

And obtaining an upper boundary according to the metadata of the HDR video frame and the preset number of intervals And the output value of the lower boundary at the end of each interval;

And determining an upper boundary line and a lower boundary line according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval;

And acquiring the adaptive curve according to a preset fitting algorithm and the upper boundary line and the lower boundary line.

In the above solution, the determining unit is configured to:

Obtaining a gamma output value according to a brightness average of the HDR frame and a gamma conversion of Equation 5;

And obtaining a derivative of the gamma output value according to Equation 6 gradient[n];

Where n is the point number within the interval;

And obtaining an output value at an end point of the low light interval according to a derivative of the gamma output value and a preset low light division threshold;

And, according to the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval, the output value of the end point of the highlight interval is obtained.

In the above solution, the determining unit is configured to:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, obtaining a curve of the upper boundary line up_line in each interval according to Equation 7;

And, the lower limit line down_line is set to a straight line having a slope of 1.

In the above solution, the determining unit is configured to:

Obtaining the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and Equation 8;

In the above solution, the C component processing unit is configured to:

And performing saturation enhancement on the converted C component according to the preset color interval and the enhancement coefficient corresponding to each color interval, to obtain the processed C component.

In a third aspect, an embodiment of the present invention further provides a processing apparatus for a video frame, including: a processor and a memory configured to store a computer program executable on the processor,

The processor is configured to perform the steps of the processing method of the video frame when the computer program is executed.

In a fourth aspect, an embodiment of the present invention provides a computer readable storage medium having stored thereon a set of instructions that, when executed, cause at least one processor to perform the processing method of the video frame described above.

Embodiments of the present invention provide a method, an apparatus, and a computer readable storage medium for processing a video frame, and the Y component and the C component of the HDR video frame are respectively processed by an adaptive curve and a color saturation enhancement process, so that the processed video frame is processed. The HDR effect is produced when the SDR display is played.

DRAWINGS

1 is a comparison diagram of a photoelectric conversion curve of HDR and a photoelectric conversion curve of an SDR display according to an embodiment of the present invention;

2 is a schematic flowchart of a method for processing a video frame according to an embodiment of the present invention;

FIG. 3 is a schematic flowchart of determining an adaptive curve according to an embodiment of the present invention;

4 is a schematic diagram of a curve according to an embodiment of the present invention;

FIG. 5 is a schematic flowchart of obtaining an output value of an upper boundary line and a lower boundary line at an end point of each interval according to an embodiment of the present disclosure;

FIG. 6 is a schematic diagram of a curve base according to an embodiment of the present invention; FIG.

FIG. 7 is a schematic diagram of another curve base according to an embodiment of the present invention; FIG.

FIG. 8 is a schematic flowchart of obtaining a processed C component according to an embodiment of the present disclosure;

FIG. 9 is a schematic structural diagram of a device for processing a video frame according to an embodiment of the present invention.

detailed description

The technical solutions in the embodiments of the present invention will be clearly and completely described in the following with reference to the accompanying drawings.

The embodiment of the invention firstly briefly describes the problems brought by the HDR video playing directly on the SDR display.

As shown in the comparison between the HDR photoelectric conversion curve and the photoelectric conversion curve of the SDR display shown in FIG. 1, it can be seen that the HDR photoelectric conversion curve on the left is taken as an example of the ST2084 standard, and the normalized optical signal is represented by 0 to 1. It is 0nit to 10000nit. It can be seen that the curve is steep in the low light portion and smooth in the middle and high light portions; the SDR photoelectric conversion curve in the right figure is exemplified by the BT709 standard, and the normalized optical signal from 0 to 1 indicates 0 nit to 100 nit. You can see the curve on the right The steepness in the low light portion is lower than that in the left image; and the curve in the right image is also flatter than the left image in the middle and high light portions.

In actual shooting, whether it is HDR device shooting or SDR device shooting; so most of the captured video is concentrated in the middle part, that is, the horizontal axis coordinates are around 0.5.

However, if the HDR video with the horizontal axis coordinate of about 0.5 is interpreted according to the SDR signal, then the value of the electrical signal is significantly higher, and since the left curve is in the middle part of the middle part of the curve. Gentle, causing a significant difference in the difference between optical signals. Therefore, when no HDR video is played directly through the SDR display, the medium light portion will be significantly brighter and the contrast is significantly lower. As a result, HDR video is generally over-bright and whitened on SDR displays.

In addition, since the HDR video content is the BT2020 domain and the SDR display is the BT709 domain, there is a problem that the HDR video is directly played through the SDR display, and the color is not bright enough.

The embodiments of the present invention are directed to the above problems and the causes of the problems. The following embodiments provide a method and a device for processing video frames to implement an HDR effect when an HDR video is played on an SDR display.

Embodiment 1

Referring to FIG. 2, a method for processing a video frame according to an embodiment of the present invention is provided. The method may include:

S201: Determine an adaptation curve corresponding to the HDR video frame according to a Y component of the HDR video frame.

S202: Adjust a Y component of the HDR video frame according to the adaptive curve, and output the processed Y component.

S203: Convert the C component of the HDR video frame according to a preset mapping relationship, and then perform the color saturation enhancement on the converted C component according to a preset color interval to obtain a processed C component.

Through the above scheme, the Y component and the C component of the HDR video frame are respectively subjected to an adaptive curve and color saturation enhancement processing, so that the processed video frame produces an HDR effect when played on the SDR display.

Illustratively, referring to FIG. 3, determining the adaptive curve corresponding to the HDR video frame according to the Y component of the HDR video frame, as described in step S201, may specifically include:

S2011: Acquire metadata of the HDR video frame according to a Y component of the HDR video frame, where the metadata is used to indicate feature information of the HDR video frame;

In this embodiment, the metadata of the HDR video frame is the average value of the brightness of the HDR frame.

S2012: Obtain an output value of an upper boundary line and a lower boundary line at an end point of each interval according to metadata of the HDR video frame and a preset number of intervals;

S2013: determining an upper boundary line and a lower boundary line according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval;

S2014: Acquire the adaptive curve according to a preset fitting algorithm and the upper boundary line and the lower boundary line.

For the above example, it should be noted that, as indicated in FIG. 4, the dotted line is an adaptive curve, and it can be seen that the adaptive curve adaptively changes between the upper boundary line up_line and the lower boundary line down_line. The abscissa in Fig. 4 represents the input value of HDR 10bit, which can be regarded as the value of the Y component of the current HDR video frame; the ordinate is the output value, which can be regarded as the adjusted Y component value.

Since the video frame can include three regions of low light, medium light, and high light. The end point B of the low-light area of the upper line up_line determines an increase in the low-light contrast pull-up point. The position of the B point determines the low-light pull-up range and the pull-down amplitude of the light between the BCs; the start point D of the highlight area of the upper line up_line It can be directly set to the symmetry point of point B for the promotion of highlights and determines the extent of the light increase between points C and D.

The adjustment of the low-light area and the highlight area of the video frame at points B and D is the focus of realizing the effect of generating HDR when the HDR video frame is played in the SDR display. Therefore, referring to FIG. 5, according to the HDR video described in step S2012 The metadata of the frame and the preset number of intervals obtain the output values of the upper and lower bounds at the endpoints of each interval, including:

S20121: performing gamma conversion according to the brightness average value of the HDR frame and Equation 1, to obtain a gamma output value;

It should be noted that, referring to FIG. 6, the curve base of gamma conversion when γ is traversed from 1.0 to 2.2, and the curve base of upper line up_line shown in FIG. 6; it can be seen that γ is 1.0 when indicating 1:1. Output, do not do any compression; the larger γ, the more obvious the compression of low light, the more inclined the effect will be blacker and darker. At the same time, the detail contrast of the sub-low light part will be more obvious.

Correspondingly, when γ is traversed from 1.0 to 2.2, the reciprocal of γ is used as the curve base of the gamma conversion of the gamma distortion coefficient, which can be used as the curve base of the lower limit line down_line, as shown in FIG.

S20122: Obtain a derivative of a gamma output value according to Equation 2;

Where gradient[n] is the derivative of the gamma output value and n is the point number within the interval;

S20123: obtaining an output value at an end point of the low light interval according to a derivative of the gamma output value and a preset low light division threshold;

S20124: The output value of the end point of the highlight section is obtained according to the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval.

It should be noted that, for the derivative according to the gamma output value and the preset low light division threshold described in S20123, the output value at the end point of the low light interval is obtained, which can be obtained by using Equation 3:

Where B_split is the output value of B at the end of the low-light interval; g_thr is the B-point division threshold, and the larger the g_thr, the more the value is set to low light; the B-point is the first derivative with the derivative greater than g_thr a point.

For the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval described in S20124, the output value of the end point of the highlight interval is obtained, and in the specific implementation process, the calculation can be performed by Equation 4. :

The output value at the end of the interval is obtained, and accordingly, the upper boundary and the lower boundary are determined according to the preset number of intervals and the output values of the upper and lower boundaries at the end points of the intervals, as described in step S2013, and may include:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, obtaining a curve of the upper boundary line up_line in each interval according to Equation 5;

Specifically, referring to FIG. 4, the upper boundary line up_line and the lower boundary line down_line each include four intervals, as shown in Equation 6:

Each segment can be designed using a curve, a quadratic curve, or even an N-time curve, but it must be ensured that the derivative is positive.

In this embodiment, the lower boundary line down_line is designed as a gamma curve with a gamma value equal to 1.0, that is, a straight line with a slope of 1, so the A-E segment is an expression: y=x;

The upper boundary line up_line is designed as a curve base with a γ value equal to 1.5 and a g_thr of 0.66, and the coordinates of points B and D are determined. Therefore, the AB segment, the BC segment and the CD segment are straight lines, and the DE segment is a curve. As shown in Equation 6. Point C is the intersection of the upper boundary line up_line and the lower boundary line down_line, which is 512 in this embodiment.

After obtaining the upper bound line up_line and the lower bound line down_line, obtaining the adaptive curve according to the preset fitting algorithm and the upper boundary line and the lower boundary line described in step S2014 may include:

Obtaining the self-adaptation according to the upper boundary line up_line and the lower boundary line down_line and Equation 7 Should curve LUT;

It can be understood that the adaptive curve LUT here is a broken line shown in FIG. 4 for indicating the correspondence between the Y component of the HDR video frame and the Y component after processing, and therefore, the Y component of the HDR video frame can be As the input value of the broken line, the corresponding output value is the Y component of the HDR video frame adjusted according to the adaptive curve described in step S102, and the processed Y component is output.

For example, referring to FIG. 8, after converting the C component of the HDR video frame according to a preset mapping relationship, the converted C component is enhanced according to a preset color interval. And obtaining the processed C component, which may specifically include:

S2031: Convert the C component from the BT2020 domain to the BT709 domain according to a preset conversion matrix;

S2032: Perform saturation enhancement on the converted C component according to a preset color interval and an enhancement coefficient corresponding to each color interval, to obtain a processed C component.

Specifically, for step S2031, the conversion of the YUV BT2020 domain to the BT709 domain can be performed by Equation 8:

In this embodiment, the conversion matrix

Can be

It can be understood that a person skilled in the art can select different conversion matrices according to the actual situation and needs, and this embodiment does not describe the details.

For the step S2032, the preset color interval may be 6 color intervals, which may include red, yellow, green, blue-green, blue, and magenta; the saturation enhancement coefficients corresponding to different color intervals are respectively corresponding to: 164 , 164, 196, 164, 196, 164.

Therefore, the converted C component is enhanced in accordance with Equation 9, and the processed C component is obtained.

Where cb_in is cb after the conversion of Equation 8, and cr_in is cr after the conversion of Equation 8.

The embodiment provides a method for processing a video frame, which adopts an adaptive curve and a color saturation enhancement process for the Y component and the C component of the HDR video frame, respectively, so that the processed video frame generates HDR when played on the SDR display. effect.

Embodiment 2

Based on the same technical concept of the foregoing embodiment, referring to FIG. 9, a processing device 90 for a video frame according to an embodiment of the present invention is shown. The device 90 includes: a determining unit 901, a Y component adjusting unit 902, and a C component. Processing unit 903; wherein

The determining unit 901 is configured to determine an adaptive curve corresponding to the HDR video frame according to a Y component of the high dynamic range HDR video frame;

The Y component adjustment unit 902 is configured to adjust a Y component of the HDR video frame according to the adaptive curve, and output the processed Y component;

The C component processing unit 903 is configured to convert the C component of the HDR video frame according to a preset mapping relationship, and then perform the color saturation enhancement according to the preset color interval to obtain the processed C component. The latter C component.

In the foregoing solution, the determining unit 901 is configured to acquire metadata of the HDR video frame according to a Y component of the HDR video frame, where the metadata is used to indicate feature information of the HDR video frame;

And obtaining an output value of the upper boundary line and the lower boundary line at the end points of each interval according to the metadata of the HDR video frame and the preset number of intervals;

And, according to the preset number of intervals and the upper and lower bounds at the end of each interval The out value determines the upper and lower boundaries;

In the above solution, the determining unit 901 is configured to:

Obtaining a gamma output value according to a luminance average of the HDR frame and a gamma conversion of Equation 10;

And obtaining a derivative of the gamma output value according to Equation 11 gradient[n];

Where n is the point number within the interval;

In the above solution, the determining unit 901 is configured to:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, obtaining a curve of the upper boundary line up_line in each interval according to Equation 12;

In the above solution, the determining unit 901 is configured to:

Obtaining the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and Equation 13;

In the above solution, the C component processing unit 903 is configured to:

In practical applications, the determining unit 901, the Y component adjusting unit 902, and the C component processing unit 903 may be processed by a processor (such as a central processing unit (CPU), a microprocessor (MCU) in the processing device 90 of the video frame. , Micro Control Unit), digital signal processor (DSP, Digital Signal Processor) or programmable logic array (FPGA, Field-Programmable Gate Array), etc.

Based on this, the processing device for a video frame provided by the embodiment of the present invention includes: a processor and a memory configured to store a computer program capable of running on a processor, wherein the processor is configured to run the computer program, carried out:

Converting the C component of the HDR video frame according to a preset mapping relationship, and then turning The changed C component is subjected to color saturation enhancement according to a preset color interval to obtain a processed C component.

In a specific embodiment, the processor is configured to execute the computer program, executing:

The metadata of the HDR video frame is a luminance average of the HDR frame.

Obtaining a gamma output value according to a luminance mean value of the HDR frame and a gamma gamma conversion of Equation 1;

Where n is the point number within the interval;

The lower limit line down_line is set to a straight line with a slope of 1.

The present embodiment provides a video frame processing apparatus 90 that passes the Y component and the C component of the HDR video frame through adaptive curve and color saturation enhancement processing, respectively, so that the processed video frame generates HDR when played on the SDR display. Effect.

Those skilled in the art will appreciate that embodiments of the present invention can be provided as a method, system, or computer program product. Accordingly, the present invention may employ hardware embodiments, software embodiments, or junctions. In the form of an embodiment of the software and hardware aspects. Moreover, the invention can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage and optical storage, etc.) including computer usable program code.

The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (system), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flowchart illustrations and/or FIG. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing device to produce a machine for the execution of instructions for execution by a processor of a computer or other programmable data processing device. Means for implementing the functions specified in one or more of the flow or in a block or blocks of the flow chart.

The computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture comprising the instruction device. The apparatus implements the functions specified in one or more blocks of a flow or a flow and/or block diagram of the flowchart.

These computer program instructions can also be loaded onto a computer or other programmable data processing device such that a series of operational steps are performed on a computer or other programmable device to produce computer-implemented processing for execution on a computer or other programmable device. The instructions provide steps for implementing the functions specified in one or more of the flow or in a block or blocks of a flow diagram.

Based on this, an embodiment of the present invention further provides a computer readable storage medium, where a set of instructions are stored, and when executed, at least one processor is caused to perform a processing method of a video frame according to an embodiment of the present invention.

The above is only the preferred embodiment of the present invention and is not intended to limit the scope of the present invention.

Industrial applicability

According to the solution provided by the embodiment of the present invention, the Y component and the C component of the HDR video frame are respectively processed by an adaptive curve and a color saturation enhancement process, so that the processed video frame is in the SDR display. When playing, it produces an HDR effect.

Claims

A method for processing a video frame, the method comprising:

Determining an adaptive curve corresponding to the HDR video frame according to a Y component of the high dynamic range HDR video frame;

Adjusting a Y component of the HDR video frame according to the adaptive curve, and outputting the processed Y component;

After the C component of the HDR video frame is converted according to a preset mapping relationship, the converted C component is further enhanced in color saturation according to a preset color interval to obtain a processed C component.
The method of claim 1, wherein the determining an adaptation curve corresponding to the HDR video frame according to a Y component of the HDR video frame comprises:

Obtaining metadata of the HDR video frame according to a Y component of the HDR video frame; wherein the metadata is used to indicate feature information of the HDR video frame;

Obtaining an output value of the upper boundary line and the lower boundary line at the end points of each interval according to the metadata of the HDR video frame and the preset number of intervals;

The upper boundary line and the lower boundary line are determined according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval;

The adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line.
The method of claim 2 wherein the metadata of the HDR video frame is a luminance mean of the HDR frame.
The method according to claim 3, wherein the obtaining the output values of the upper and lower boundaries at the endpoints of the intervals according to the metadata of the HDR video frame and the preset number of intervals comprises:

Obtaining a gamma output value according to a luminance mean value of the HDR frame and a gamma gamma conversion of Equation 1;

Wherein, input is the brightness average of the input HDR frame, output is the gamma output value, and γ is the gamma distortion coefficient;

Obtaining the derivative gradient[n] of the gamma output value according to Equation 2;

Where n is the point number within the interval;

Obtaining an output value at an end point of the low light interval according to a derivative of the gamma output value and a preset low light division threshold;

The output value of the end point of the highlight interval is obtained according to the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval.
The method according to claim 4, wherein said determining an upper boundary and a lower boundary according to a preset number of intervals and an output value of an upper boundary and a lower boundary at each end of each interval, comprising:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, the curve of the upper boundary line up_line in each interval is obtained according to Equation 3;

Where Δy 1 represents the difference of the output of the low light interval; Δy 2 represents the difference of the output of the medium light interval; the midpoint of the medium light interval is the intersection of the upper boundary and the lower boundary;

The lower limit line down_line is set to a straight line with a slope of 1.
The method of claim 2, wherein the adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line, comprising:

Obtaining the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and Equation 4;

Where mean_up is 1024; and the expression clip3(mean, 0, mean_up) means: when mean<0, the value of the expression is 0, when mean>mean_up, the value of the expression is mean_up; when 0<mean< When mean_up, the value of the expression is mean.
The method according to claim 1, wherein the C component of the HDR video frame is converted according to a preset mapping relationship, and then the converted C component is subjected to color saturation enhancement according to a preset color interval. , get the processed C component, including:

Converting the C component from the BT2020 domain to the BT709 domain according to a preset conversion matrix;

The converted C component is subjected to saturation enhancement according to the preset color interval and the enhancement coefficient corresponding to each color interval, and the processed C component is obtained.
A processing device for a video frame, the device comprising: a determining unit, a Y component adjusting unit, and a C component processing unit; wherein

The determining unit is configured to determine an adaptive curve corresponding to the HDR video frame according to a Y component of the high dynamic range HDR video frame;

The Y component adjustment unit is configured to adjust a Y component of the HDR video frame according to the adaptive curve, and output the processed Y component;

The C component processing unit is configured to convert the C component of the HDR video frame according to a preset mapping relationship, and then perform the color saturation enhancement according to the preset color interval by the converted C component, and obtain the processed C component.
The apparatus according to claim 8, wherein the determining unit is configured to acquire metadata of the HDR video frame according to a Y component of the HDR video frame; wherein the metadata is used to indicate the HDR video Characteristic information of the frame;

And obtaining an output value of the upper boundary line and the lower boundary line at the end points of each interval according to the metadata of the HDR video frame and the preset number of intervals;

And determining an upper boundary line and a lower boundary line according to the preset number of intervals and the output values of the upper boundary line and the lower boundary line at the end points of each interval;

And acquiring the self according to a preset fitting algorithm and the upper boundary line and the lower boundary line Adapt to the curve.
The apparatus of claim 9, wherein the metadata of the HDR video frame is a luminance mean of the HDR frame.
The apparatus according to claim 10, wherein the determining unit is configured to:

Obtaining a gamma output value according to a luminance average of the HDR frame and a gamma gamma conversion of Equation 5;

Wherein, input is the brightness average of the input HDR frame, output is the gamma output value, and γ is the gamma distortion coefficient;

And obtaining a derivative of the gamma output value according to Equation 6 gradient[n];

Where n is the point number within the interval;

And obtaining an output value at an end point of the low light interval according to a derivative of the gamma output value and a preset low light division threshold;

And, according to the symmetrical relationship between the highlight interval and the low light interval and the output value at the end of the low light interval, the output value of the end point of the highlight interval is obtained.
The apparatus according to claim 11, wherein the determining unit is configured to:

After acquiring the output value at the end point of the low light interval and the output value at the end point of the highlight interval, obtaining a curve of the upper boundary line up_line in each interval according to Equation 7;

Where Δy 1 represents the difference of the output of the low light interval; Δy 2 represents the difference of the output of the medium light interval; the midpoint of the medium light interval is the intersection of the upper boundary and the lower boundary;

And, the lower limit line down_line is set to a straight line having a slope of 1.
The apparatus according to claim 9, wherein the determining unit is configured to:

Obtaining the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and Equation 8;

Where mean_up is 1024; and the expression clip3(mean, 0, mean_up) means: when mean<0, the value of the expression is 0, when mean>mean_up, the value of the expression is mean_up; when 0<mean< When mean_up, the value of the expression is mean.
The apparatus of claim 8, wherein the C component processing unit is configured to:

Converting the C component from the BT2020 domain to the BT709 domain according to a preset conversion matrix;

And performing saturation enhancement on the converted C component according to the preset color interval and the enhancement coefficient corresponding to each color interval, to obtain the processed C component.
A processing device for a video frame, comprising: a processor and a memory configured to store a computer program executable on the processor,

Wherein the processor is configured to perform the steps of the method of any one of claims 1 to 7 when the computer program is run.
A computer readable storage medium having stored thereon a set of instructions which, when executed, cause at least one processor to perform a method of processing a video frame as claimed in any one of claims 1 to 7.