CN107786865A - A kind for the treatment of method and apparatus of frame of video - Google Patents

Abstract

Embodiments of the present invention disclose a video frame processing method and device; the method may include: determining an adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame; The Y component of the HDR video frame is adjusted, and the processed Y component is output; after the C component of the HDR video frame is converted according to the preset mapping relationship, the converted C component is then converted according to the preset color interval. Perform color saturation enhancement to obtain the processed C component.

Description

Method and device for processing video frames

technical field

The present invention relates to video processing technology, in particular to a video frame processing method and device.

Background technique

High-Dynamic Range (HDR, High-Dynamic Range) can expand the brightness range of the display, show more details in bright and dark parts, bring richer colors and more vivid and natural details to the picture, so that the picture is closer to human Seeing.

The brightness range that the human eye can feel is about 10 ^-3 -10 ⁶ nits, and the instantaneous contrast ratio that can be felt can reach 10000:1; while the brightness of current consumer-grade LCDs is generally around 300 to 400 nits, the contrast ratio The range is generally 2000:1. It can be seen that the brightness resolution capability of the human eye is much higher than that of current mainstream display devices. Therefore, HDR display technology is to increase the brightness range of the display. Generally speaking, it is to make the display brightness brighter and at the same time make the displayed black blacker.

Currently, the limitation of display contrast is determined by the ITU BT.709 standard issued by the International Telecommunication Union (ITU, International Telecommunication Union) in 1990. The Electro-Optical Transfer Function (EOTF, Electro-Optical Transfer Function) in this standard is set based on the characteristics of the past cathode ray tube (CRT, Cathode RayTube) display. However, the brightness of CRT monitors generally does not exceed 100nit. For the monitors whose brightness can reach 400nit or even 1000nit, the BT.709 standard has restricted the presentation of the best display effect. Therefore, many institutions and organizations in the radio and television industry have proposed new HDR display technologies, and HDR videos are played through HDR displays to achieve a display with a higher dynamic range.

But now most of the stock TVs are standard dynamic range (SDR, Standard Dynamic Range) displays based on the ITU BT.709 standard. Therefore, when these displays play HDR content, users cannot experience the effect of HDR.

Contents of the invention

In order to solve the above technical problems, the embodiments of the present invention expect to provide a method and device for processing video frames, which can realize HDR effect when playing HDR video on an SDR display.

Technical scheme of the present invention is realized like this:

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

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

adjusting the 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 color saturation of the converted C component is enhanced according to a preset color range to obtain a processed C component.

In the above solution, the determination of the adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame specifically includes:

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

Acquire the output values of the upper boundary line and the lower boundary line at the endpoints of each interval according to the metadata of the HDR video frame and the preset interval number;

Determine 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 endpoints 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 average brightness value of the HDR frame.

In the above solution, the output values of the upper boundary line and the lower boundary line at the endpoints of each interval are obtained according to the metadata of the HDR video frame and the preset number of intervals, specifically including:

Perform gamma gamma conversion according to the brightness mean value of the HDR frame and formula 1 to obtain a gamma output value;

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

Obtain the derivative gradient[n] of the gamma output value according to formula 2;

Among them, n is the point number in the interval;

Obtain the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold;

According to the symmetrical relationship between the high-light interval and the low-light interval and the output value at the end point of the low-light interval, the output value at the end point of the high-light interval is obtained.

In the above scheme, the determination of 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 endpoints of each interval, specifically includes:

After obtaining the output value at the end point of the low-light interval and the output value at the end point of the high-light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 3;

Among them, Δy ₁ represents the output difference in the low-light interval; Δy ₂ represents the output difference in the medium-light interval; the midpoint of the medium-light interval is the intersection point of the upper boundary line and the lower boundary line;

The lower boundary line down_line is set as 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, specifically including:

Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 4;

Among them, 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 scheme, after the C component of the HDR video frame is converted according to a preset mapping relationship, the converted C component is then enhanced in color saturation according to a preset color range to obtain the processed C component. Servings, including:

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

Saturation enhancement is performed on the converted C component according to preset color intervals and enhancement coefficients corresponding to each color interval to obtain a processed C component.

In a second aspect, an embodiment of the present invention provides a video frame processing device, the device comprising: a determination unit, a Y component adjustment 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 the Y component of the high dynamic range HDR video frame;

The Y component adjustment unit is configured to adjust the 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 enhance the color saturation of the converted C component according to a preset color interval, and obtain the processed The C component.

In the above solution, the determining unit is configured to obtain metadata of the HDR video frame according to the Y component of the HDR video frame; wherein the metadata is used to indicate feature information of the HDR video frame;

And, according to the metadata of the HDR video frame and the preset number of intervals, the output values of the upper boundary line and the lower boundary line at the endpoints of each interval are obtained;

And, determine 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 endpoints of each interval;

And, the adaptive curve is acquired 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 average brightness value of the HDR frame.

In the above solution, the determination unit is used for:

Carry out gamma gamma conversion according to the brightness mean value of the HDR frame and formula 5, and obtain the gamma output value;

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

And, obtain the derivative gradient[n] of the gamma output value according to formula 6;

Among them, n is the point number in the interval;

And, obtain the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold;

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

In the above solution, the determination unit is used for:

After obtaining the output value at the end point of the low light interval and the output value at the end point of the high light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 7;

Among them, Δy ₁ represents the output difference in the low-light interval; Δy ₂ represents the output difference in the medium-light interval; the midpoint of the medium-light interval is the intersection point of the upper boundary line and the lower boundary line;

And, the lower boundary line down_line is set as a straight line with a slope of 1.

In the above solution, the determination unit is used for:

Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 8;

Among them, 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, the C component processing unit is used for:

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

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

Embodiments of the present invention provide a video frame processing method and device; the Y component and the C component of the HDR video frame are respectively processed through an adaptive curve and color saturation enhancement, so that when the processed video frame is played on an SDR display, Produces the effect of HDR.

Description of drawings

Fig. 1 is the comparison chart of the photoelectric conversion curve of HDR provided by the embodiment of the present invention and the photoelectric conversion curve of SDR display;

FIG. 2 is a schematic flowchart of a video frame processing method provided by an embodiment of the present invention;

FIG. 3 is a schematic flow chart of determining an adaptive curve provided by an embodiment of the present invention;

FIG. 4 is a schematic diagram of a curve provided by an embodiment of the present invention;

Fig. 5 is a schematic flow chart of obtaining the output values of the upper boundary line and the lower boundary line at the endpoints of each interval provided by the embodiment of the present invention;

Fig. 6 is a schematic diagram of a curve base provided by an embodiment of the present invention;

Fig. 7 is a schematic diagram of another curve base provided by an embodiment of the present invention;

FIG. 8 is a schematic flowchart of obtaining a processed C component provided by an embodiment of the present invention;

FIG. 9 is a schematic structural diagram of a device for processing video frames provided by an embodiment of the present invention.

Detailed ways

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

In the embodiment of the present invention, firstly, a problem caused by directly playing an HDR video on an SDR display is briefly described.

As shown in Figure 1, the photoelectric conversion curve of HDR and the photoelectric conversion curve of SDR display are compared. It can be seen that the HDR photoelectric conversion curve on the left is based on the ST2084 standard as an example, and the normalized optical signal is expressed from 0 to 1. The range is 0nit to 10000nit. It can be seen that the curve is very steep in the low-light part, and very gentle in the middle-light and high-light parts; the SDR photoelectric conversion curve on the right takes the BT709 standard as an example, and the normalized optical signal from 0 to 1 represents 0nit to 100nit, It can be seen that the curve on the right is steeper in the low-light part than the left picture; and the curve on the right is also gentler than the left picture in the mid-light and high-light parts.

In the actual shooting, whether it is shooting with HDR equipment or SDR equipment; so most of the captured videos are still concentrated in the mid-light part, that is, the range around the horizontal axis coordinate is 0.5.

However, if the HDR video whose abscissa coordinate is about 0.5 is interpreted according to the SDR signal, then the value of the electrical signal will be obviously higher, and because the curve on the left is in the middle light part compared to the curve in the right picture. Flattening, resulting in significantly lower differences between optical signals. So when we play the HDR video directly through the SDR display without any processing, the mid-light part will be obviously too bright, and the contrast will be obviously low. As a result, HDR videos generally appear too bright and white when played on SDR displays.

In addition, since the HDR video content is in the BT2020 domain, and the SDR display is in the BT709 domain, the problem of not being bright enough to play the HDR video directly through the SDR display will also occur.

Aiming at the above problems and the causes of the problems, the embodiments of the present invention propose a video frame processing method and device through the following embodiments, so as to realize the HDR effect when playing the HDR video on the SDR display.

Embodiment one

Referring to FIG. 2, it shows a method for processing a video frame provided by an embodiment of the present invention, the method may include:

S201: Determine an adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame;

S202: Adjust the 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 color saturation enhancement on the converted C component according to a preset color interval to obtain a processed C component.

Through the above solution, the Y component and the C component of the HDR video frame are respectively processed through the adaptive curve and the color saturation enhancement, so that the processed video frame can produce the effect of HDR when played on the SDR display.

Exemplarily, referring to FIG. 3, the determination of the adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame in step S201 may specifically include:

S2011: Obtain metadata of the HDR video frame according to the Y component of the HDR video frame; wherein 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 brightness value of the HDR frame.

S2012: Obtain the output values of the upper boundary line and the lower boundary line at the endpoints of each interval according to the metadata of the HDR video frame and the preset interval number;

S2013: Determine 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 endpoints of each interval;

S2014: Obtain 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 marked in FIG. 4 , the dotted line is an adaptive curve. It can be seen that the adaptive curve changes adaptively between the upper boundary line up_line and the lower boundary line down_line. The abscissa in Figure 4 represents the input value of HDR10bit, which can be considered as the value of the Y component of the current HDR video frame; the ordinate is the output value, which can be considered as the adjusted Y component value.

Since a video frame may include three areas of low light, medium light and high light. The end point B of the low-light area of the upper boundary line up_line determines a point to increase the low-light contrast. The position of point B determines the low-light pull-up range and the pull-down range of mid-light between BC; the starting point D of the high-light area of the upper boundary line up_line It can be directly set as the symmetrical point of point B, which is used to enhance the highlights, and determines the enhancement range of the middle light between CDs.

The adjustment of point B and point D for the low light area and high light area of the video frame is the focus of realizing the HDR video frame to produce the effect of HDR when the SDR display is played, therefore, referring to Fig. 5, for 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 boundaries at the endpoints of each interval, including:

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

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

It should be noted that, referring to Figure 6, it shows the curve base of gamma conversion when γ traverses from 1.0 to 2.2, and Figure 6 shows the curve base of the upper boundary line up_line; it can be seen that when γ is 1.0, it means 1 :1 output, without any compression; the larger the γ, the more obvious the compression of low light, and the effect will be more black and blacker. At the same time, the contrast of details in sub-low light parts will be more obvious.

Correspondingly, when γ traverses from 1.0 to 2.2, the gamma-gamma conversion curve base with the reciprocal of γ as the gamma distortion coefficient can be used as the curve base of the lower boundary line down_line, as shown in Figure 7.

S20122: Obtain the derivative of the gamma output value according to formula 2;

Among them, gradient[n] is the derivative of the gamma output value, and n is the point number in the interval;

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

S20124: According to the symmetrical relationship between the high-light interval and the low-light interval and the output value at the end point of the low-light interval, acquire the output value at the end point of the high-light interval.

It should be noted that, for obtaining the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold described in S20123, it can be specifically obtained by formula 3:

Among them, B_split is the output value of B at the end point of the low-light interval; g_thr is the threshold value of B point division, the larger g_thr is, then there will be more values as low light; B point is the first one whose derivative is greater than g_thr points.

For S20124, according to the symmetrical relationship between the high-light interval and the low-light interval and the output value at the end point of the low-light interval, the output value at the end point of the high-light interval is obtained. In the specific implementation process, it can be calculated by formula 4 :

The output value at the endpoint of the interval has thus been obtained. Correspondingly, determining the upper boundary and the lower boundary according to the preset interval number and the output value of the upper boundary and the lower boundary at each interval endpoint described in step S2013 may include:

After obtaining the output value at the end point of the low-light interval and the output value at the end point of the high-light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 5;

And, the lower boundary line down_line is set as a straight line with a slope of 1.

Specifically, referring to Fig. 4, both the upper boundary line up_line and the lower boundary line down_line contain four intervals, as shown in formula 6:

Each segment can be designed using a curve of degree one, degree two, or even degree N, 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 sections are all an expression: y=x;

The upper boundary line up_line is designed as a curve base with γ value equal to 1.5 and g_thr as 0.66, and the B and D coordinates are determined. Therefore, segments AB, BC, and CD are straight lines, and segment DE is curved. 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 boundary line up_line and the lower boundary 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:

Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 7;

Among them, 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.

Understandably, the adaptive curve LUT here is the dotted line shown in Figure 4, which is used to represent the correspondence between the Y component of the HDR video frame and the processed Y component, therefore, the Y component of the HDR video frame can be As the input value of the dotted line, the corresponding output value is the step S102 of adjusting the Y component of the HDR video frame according to the adaptive curve, and outputting the processed Y component.

For example, referring to FIG. 8, after converting the C component of the HDR video frame according to the preset mapping relationship described in S203, the color saturation of the converted C component is enhanced according to the preset color interval. , to obtain the processed C component, which can 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 preset color intervals and enhancement coefficients corresponding to each color interval, to obtain a processed C component.

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

In this example, the transformation matrix can be It can be understood that those skilled in the art may select different transformation matrices according to actual conditions and requirements, and details are not described in this embodiment.

For step S2032, the preset color range can be 6 color ranges, including red, yellow, green, blue-green, blue, and magenta; the saturation enhancement coefficients corresponding to different color ranges are respectively: 164 , 164, 196, 164, 196, 164.

Therefore, saturation enhancement is performed on the converted C component according to Equation 9 to obtain a processed C component.

Among them, cb_in is cb converted by formula 8; cr_in is cr converted by formula 8.

This embodiment provides a method for processing a video frame. The Y component and the C component of the HDR video frame are respectively processed through an adaptive curve and color saturation enhancement, so that when the processed video frame is played on an SDR display, an HDR image is produced. Effect.

Embodiment two

Based on the same technical idea of the previous embodiments, see FIG. 9 , which shows a video frame processing device 90 provided by an embodiment of the present invention. The device 90 includes: a determination unit 901, a Y component adjustment 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 the Y component of the high dynamic range HDR video frame;

The Y component adjustment unit 902 is configured to adjust the 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 enhance the color saturation of the converted C component according to a preset color interval, and obtain the processed After the C component.

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

And, according to the metadata of the HDR video frame and the preset number of intervals, the output values of the upper boundary line and the lower boundary line at the endpoints of each interval are obtained;

And, determine 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 endpoints of each interval;

And, the adaptive curve is acquired 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 average brightness value of the HDR frame.

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

Perform gamma gamma conversion according to the brightness mean value of the HDR frame and formula 10 to obtain a gamma output value;

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

And, obtain the derivative gradient[n] of the gamma output value according to formula 11;

Among them, n is the point number in the interval;

And, obtain the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold;

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

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

After obtaining the output value at the end point of the low-light interval and the output value at the end point of the high-light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 12;

Among them, Δy ₁ represents the output difference in the low-light interval; Δy ₂ represents the output difference in the medium-light interval; the midpoint of the medium-light interval is the intersection point of the upper boundary line and the lower boundary line;

And, the lower boundary line down_line is set as a straight line with a slope of 1.

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

Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 13;

Among them, 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, the C component processing unit 903 is configured to:

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

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

This embodiment provides a video frame processing device 90, which processes the Y component and the C component of the HDR video frame through an adaptive curve and color saturation enhancement processing respectively, so that when the processed video frame is played on an SDR display, HDR Effect.

Those skilled in the art should understand that the embodiments of the present invention may be provided as methods, systems, or computer program products. Accordingly, the present invention can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention 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 and optical storage, etc.) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the protection scope of the present invention.

Claims (14)

1. a processing method of video frame, is characterized in that, described method comprises: Determine the adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame; adjusting the 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 color saturation of the converted C component is enhanced according to a preset color range to obtain a processed C component. 2. The method according to claim 1, wherein said determining the adaptive curve corresponding to the HDR video frame according to the Y component of the high dynamic range HDR video frame specifically includes: Obtain metadata of the HDR video frame according to the Y component of the HDR video frame; wherein the metadata is used to indicate feature information of the HDR video frame; Acquire the output values of the upper boundary line and the lower boundary line at the endpoints of each interval according to the metadata of the HDR video frame and the preset interval number; Determine 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 endpoints of each interval; The adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line. 3. The method according to claim 2, wherein the metadata of the HDR video frame is an average brightness value of the HDR frame. 4. The method according to claim 3, wherein said obtaining the output value of the upper boundary line and the lower boundary line at each interval endpoint according to the metadata of the HDR video frame and the preset interval number, specifically comprises: Perform gamma gamma conversion according to the brightness mean value of the HDR frame and formula 1 to obtain a gamma output value; <mrow><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>=</mo><msup><mrow><mo>(</mo><mfrac><mrow><mi>i</mi><mi>n</mi><mi>p</mi><mi>u</mi><mi>t</mi></mrow><mrow><mi>max</mi><mrow><mo>(</mo><mi>i</mi><mi>n</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>)</mo></mrow></mrow></mfrac><mo>)</mo></mrow><mi>&amp;gamma;</mi></msup><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>1</mn><mo>)</mo></mrow></mrow> Among them, input is the average brightness value of the input HDR frame, output is the gamma output value, and γ is the gamma distortion coefficient; Obtain the derivative gradient[n] of the gamma output value according to formula 2; <mrow><mtable><mtr><mtd><mrow><mi>g</mi><mi>r</mi><mi>a</mi><mi>d</mi><mi>i</mi><mi>e</mi><mi>n</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>n</mi><mo>&amp;rsqb;</mo><mo>=</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>n</mi><mo>&amp;rsqb;</mo><mo>-</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi>><mo>&amp;lsqb;</mo><mi>n</mi><mo>-</mo><mn>1</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><mn>1</mn><mo><</mo><mo>=</mo><mi>n</mi><mo><</mo><mo>=</mo><mn>1023</mn></mrow></mtd></mtr></mtable><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>2</mn><mo>)</mo></mrow></mrow> Among them, n is the point number in the interval; Obtain the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold; According to the symmetrical relationship between the high-light interval and the low-light interval and the output value at the end point of the low-light interval, the output value at the end point of the high-light interval is obtained. 5. The method according to claim 4, characterized in that, determining the upper boundary line and the lower boundary line according to the preset interval number and the output value of the upper boundary line and the lower boundary line at the endpoints of each interval, specifically comprising: After obtaining the output value at the end point of the low-light interval and the output value at the end point of the high-light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 3; <mrow><mi>u</mi><mi>p</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi><mo>=</mo><mfenced open = "{" close = ""><mtable><mtr><mtd><mrow><mi>n</mi><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub></mrow><mrow><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>0</mn><mo>,</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub><mo>+</mo><mrow><mo>(</mo><mi>n</mi><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>2</mn></msub></mrow><mrow><mn>1024</mn><mo>-</mo><mn>2</mn><mo>*</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>+</mo><mn>1</mn><mo>,</mo><mn>512</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub><mo>+</mo><mrow><mo>(</mo><mi>n</mi><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>2</mn></msub></mrow><mrow><mn>1024</mn><mo>-</mo><mn>2</mn><mo>*</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mo>mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>513</mn><mo>,</mo><mn>1024</mn><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mn>mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow></mtd></mtr><mtr><mtd><mrow><mn>1</mn><mo>-</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>&amp;rsqb;</mo></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>1024</mn><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>,</mo><mn>1023</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr></mtable></mfenced><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>3</mn><mo>)</mo></mrow></mrow> Among them, Δy ₁ represents the output difference in the low-light interval; Δy ₂ represents the output difference in the medium-light interval; the midpoint of the medium-light interval is the intersection point of the upper boundary line and the lower boundary line; The lower boundary line down_line is set as a straight line with a slope of 1. 6. The method according to claim 2, wherein the adaptive curve is obtained according to a preset fitting algorithm and the upper boundary line and the lower boundary line, specifically comprising: Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 4; <mrow><mtable><mtr><mtd><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>=</mo><mi>c</mi><mi>l</mi><mi>i</mi><mi>p</mi><mn>3</mn><mrow><mo>(</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>,</mo><mn>0</mn><mo>,</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mo>mi><mo>_</mo><mi>u</mi><mi>p</mi><mo>)</mo></mrow></mrow></mtd></mtr><mtr><mtd><mrow><mi>L</mi><mi>U</mi><mi>T</mi><mo>=</mo><mfrac><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>*</mo><mi>u</mi><mi>p</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi><mo>+</mo><mrow><mo>(</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>u</mi><mi>p</mi><mo>-</mo><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>)</mo></mrow><mo>*</mo><mi>d</mi><mi>o</mi><mi>w</mi><mi>n</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi></mrow><mrow><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>u</mi><mi>p</mi></mrow></mfrac></mrow></mtd></mtr></mtable><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>4</mn><mo>)</mo></mrow></mrow> Among them, 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. 7. The method according to claim 1, wherein after converting the C component of the HDR video frame according to a preset mapping relationship, the converted C component is then converted according to a preset color interval. The color saturation is enhanced, and the processed C component is obtained, including: Convert the C component from the BT2020 domain to the BT709 domain according to the preset conversion matrix; Saturation enhancement is performed on the converted C component according to preset color intervals and enhancement coefficients corresponding to each color interval to obtain a processed C component. 8. A processing device for a video frame, characterized in that the device comprises: a determination unit, a Y component adjustment 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 the Y component of the high dynamic range HDR video frame; The Y component adjustment unit is configured to adjust the 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 enhance the color saturation of the converted C component according to a preset color interval, and obtain the processed The C component. 9. The device according to claim 8, wherein the determining unit is configured to obtain metadata of the HDR video frame according to the Y component of the HDR video frame; wherein the metadata is used to indicate Feature information of the HDR video frame; And, according to the metadata of the HDR video frame and the preset number of intervals, the output values of the upper boundary line and the lower boundary line at the endpoints of each interval are obtained; And, determine 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 endpoints of each interval; And, the adaptive curve is acquired according to a preset fitting algorithm and the upper boundary line and the lower boundary line. 10. The device according to claim 9, wherein the metadata of the HDR video frame is an average brightness value of the HDR frame. 11. The device according to claim 10, wherein the determining unit is configured to: Carry out gamma gamma conversion according to the brightness mean value of the HDR frame and formula 5, and obtain the gamma output value; <mrow><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>=</mo><msup><mrow><mo>(</mo><mfrac><mrow><mi>i</mi><mi>n</mi><mi>p</mi><mi>u</mi><mi>t</mi></mrow><mrow><mi>max</mi><mrow><mo>(</mo><mi>i</mi><mi>n</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>)</mo></mrow></mrow></mfrac><mo>)</mo></mrow><mi>&amp;gamma;</mi></msup><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>5</mn><mo>)</mo></mrow></mrow> Among them, input is the average brightness value of the input HDR frame, output is the gamma output value, and γ is the gamma distortion coefficient; And, obtain the derivative gradient[n] of the gamma output value according to formula 6; <mrow><mtable><mtr><mtd><mrow><mi>g</mi><mi>r</mi><mi>a</mi><mi>d</mi><mi>i</mi><mi>e</mi><mi>n</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>n</mi><mo>&amp;rsqb;</mo><mo>=</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>n</mi><mo>&amp;rsqb;</mo><mo>-</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi>><mo>&amp;lsqb;</mo><mi>n</mi><mo>-</mo><mn>1</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><mn>1</mn><mo><</mo><mo>=</mo><mi>n</mi><mo><</mo><mo>=</mo><mn>1023</mn></mrow></mtd></mtr></mtable><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>6</mn><mo>)</mo></mrow></mrow> Among them, n is the point number in the interval; And, obtain the output value at the end point of the low-light interval according to the derivative of the gamma output value and the preset low-light division threshold; And, according to the symmetrical relationship between the high light interval and the low light interval and the output value at the end point of the low light interval, the output value at the end point of the high light interval is acquired. 12. The device according to claim 11, wherein the determining unit is configured to: After obtaining the output value at the end point of the low light interval and the output value at the end point of the high light interval, obtain the curve of the upper boundary line up_line in each interval according to formula 7; <mrow><mi>u</mi><mi>p</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi><mo>=</mo><mfenced open = "{" close = ""><mtable><mtr><mtd><mrow><mi>n</mi><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub></mrow><mrow><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>0</mn><mo>,</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub><mo>+</mo><mrow><mo>(</mo><mi>n</mi><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>2</mn></msub></mrow><mrow><mn>1024</mn><mo>-</mo><mn>2</mn><mo>*</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>+</mo><mn>1</mn><mo>,</mo><mn>512</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr><mtr><mtd><mrow><msub><mi>&amp;Delta;y</mi><mn>1</mn></msub><mo>+</mo><mrow><mo>(</mo><mi>n</mi><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow><mo>*</mo><mfrac><mrow><msub><mi>&amp;Delta;y</mi><mn>2</mn></msub></mrow><mrow><mn>1024</mn><mo>-</mo><mn>2</mn><mo>*</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi></mrow></mo>mfrac></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>513</mn><mo>,</mo><mn>1024</mn><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mn>mi><mi>e</mi><mi>x</mi><mo>)</mo></mrow></mtd></mtr><mtr><mtd><mrow><mn>1</mn><mo>-</mo><mi>o</mi><mi>u</mi><mi>t</mi><mi>p</mi><mi>u</mi><mi>t</mi><mo>&amp;lsqb;</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>&amp;rsqb;</mo></mrow></mtd><mtd><mrow><mi>n</mi><mo>&amp;Element;</mo><mo>&amp;lsqb;</mo><mn>1024</mn><mo>-</mo><mi>i</mi><mi>n</mi><mi>d</mi><mi>e</mi><mi>x</mi><mo>,</mo><mn>1023</mn><mo>&amp;rsqb;</mo></mrow></mtd></mtr></mtable></mfenced><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>7</mn><mo>)</mo></mrow></mrow> Among them, Δy ₁ represents the output difference in the low-light interval; Δy ₂ represents the output difference in the medium-light interval; the midpoint of the medium-light interval is the intersection point of the upper boundary line and the lower boundary line; And, the lower boundary line down_line is set as a straight line with a slope of 1. 13. The device according to claim 9, wherein the determining unit is configured to: Obtain the adaptive curve LUT according to the upper boundary line up_line and the lower boundary line down_line and formula 8; <mrow><mtable><mtr><mtd><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>=</mo><mi>c</mi><mi>l</mi><mi>i</mi><mi>p</mi><mn>3</mn><mrow><mo>(</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>,</mo><mn>0</mn><mo>,</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mo>mi><mo>_</mo><mi>u</mi><mi>p</mi><mo>)</mo></mrow></mrow></mtd></mtr><mtr><mtd><mrow><mi>L</mi><mi>U</mi><mi>T</mi><mo>=</mo><mfrac><mrow><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>*</mo><mi>u</mi><mi>p</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi><mo>+</mo><mrow><mo>(</mo><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>u</mi><mi>p</mi><mo>-</mo><mi>a</mi><mi>l</mi><mi>p</mi><mi>h</mi><mi>a</mi><mo>)</mo></mrow><mo>*</mo><mi>d</mi><mi>o</mi><mi>w</mi><mi>n</mi><mo>_</mo><mi>l</mi><mi>i</mi><mi>n</mi><mi>e</mi></mrow><mrow><mi>m</mi><mi>e</mi><mi>a</mi><mi>n</mi><mo>_</mo><mi>u</mi><mi>p</mi></mrow></mfrac></mrow></mtd></mtr></mtable><mo>-</mo><mo>-</mo><mo>-</mo><mrow><mo>(</mo><mn>8</mn><mo>)</mo></mrow></mrow> Among them, 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. 14. The device according to claim 8, wherein the C component processing unit is configured to: Convert the C component from the BT2020 domain to the BT709 domain according to the preset conversion matrix; And, performing saturation enhancement on the converted C component according to preset color intervals and enhancement coefficients corresponding to each color interval, to obtain a processed C component.