CN108986769A - A method of showing that equipment maximizes reduction Rec.2020 colour gamut content lower than Rec.2020 colour gamut - Google Patents
A method of showing that equipment maximizes reduction Rec.2020 colour gamut content lower than Rec.2020 colour gamut Download PDFInfo
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Abstract
Show that equipment maximizes the method for restoring Rec.2020 colour gamut content lower than Rec.2020 colour gamut the invention discloses a kind of, belong to technical field of media, first by the color gamut conversion of video image to intermediate color gamut, each pixel is obtained in each frame video image in the position of intermediate color gamut；The color gamut conversion for showing equipment is constructed into boundary of the colour gamut of display equipment on the intermediate color gamut to intermediate color gamut again；The position of pixel each in video image is adjusted to the boundary；Finally the colour gamut for adjusting position rear video image is converted by intermediate color gamut to the colour gamut of display equipment, complete color gamut conversion, display color accuracy is able to ascend using the present invention, by carrying out color conversion for the gamut range of display equipment, while keeping content original brightness, enable the color more accurately reproduced picture color to the full extent of display.
Description
Technical field
The present invention relates to technical field of media, and in particular to one kind shows that equipment maximizes reduction lower than Rec.2020 colour gamut
The method of Rec.2020 colour gamut content.
Background technique
With the development of the times, ultra high-definition, high dynamic range, the novel video content of wide colour gamut are gradually promoted and are come, and are used
The stage of a transition from the old to the new is also in the display equipment of display video content.The colour gamut model of novel standard requirement video pictures
It encloses for Rec.2020, and the standard color gamut of previous picture is Rec.709, the gamut range of multi-display equipment is generally deposited perhaps in the market
The problem of include two o'clock, first be display colour gamut part have exceeded Rec.709 colour gamut and not up to Rec.2020 gamut standards,
The gamut range of distinct device covering is different, shows that the effect of same picture is different, has with the original meaning figure of producer larger
It enters and leaves；Second is that will cause significantly color distortion when the broadcasting format of video has differences with equipment display pattern.And mesh
The preceding effective ways without being directed to both of the aforesaid Resolving probiems color distortion problem, to be shown in equipment most lower than Rec.2020
Bigization restores Rec.2020 colour gamut content color.
Summary of the invention
It is an object of the invention to: a kind of maximize lower than Rec.2020 colour gamut display equipment is provided and restores Rec.2020 color
The method of domain content, reduction Rec.2020 can not be maximized showing lower than Rec.2020 using the prior art by solving in equipment
The technical issues of colour gamut content color.
The technical solution adopted by the invention is as follows:
A method of showing that equipment maximizes reduction Rec.2020 colour gamut content lower than Rec.2020 colour gamut, including following
Step:
Step 1: by the color gamut conversion of video image to intermediate color gamut, obtaining each pixel in each frame video image and exist
The position of intermediate color gamut；
Step 2: by the color gamut conversion for showing equipment to intermediate color gamut, constructing the colour gamut of display equipment in the intermediate color gamut
On boundary；
Step 3: the position of pixel each in video image is adjusted to the boundary；
Step 4: the colour gamut for adjusting position rear video image being converted by intermediate color gamut to the colour gamut of display equipment, color is completed
Domain conversion.
Further, further include pre-treatment step 0:
Step 00: judging the format of video image color space, if the format of color space is rgb format, directly jump
Go to step 02；Otherwise 01 is gone to step；
Step 01: the format of video image color space is converted into rgb format；
Step 02: rgb format signal being converted by quantized signal to normalized signal, the range of the normalized signal is
[0,1], the linear R GB signal after being normalized；
Step 03: the nonlinear rgb signal of video image is converted into linear rgb signal.
Further, in the step 1, intermediate color gamut is CIE Lab color gamut space or HSB color gamut space.
Further, specific step is as follows for the step 2:
Step 21: obtaining coordinate of the display equipment three primary colors point in CIE xyz color space, it is former to connect described three
Color dot obtains gamut boundary triangle；
Step 22: boundary point sampling being carried out to three sides of the gamut boundary triangle, obtains the coordinate value of sampled point；
Step 23: the sampled point being converted into the intermediate color gamut, and is sequentially connected with the sampled point in intermediate color gamut and obtains
To boundary polygon；
Step 24: subregion being carried out to the boundary polygon, obtains k subregion.
Further, specific step is as follows for the step 3:
Step 31: each pixel under intermediate color gamut is divided in corresponding subregion；
Step 32: calculate separately in each subregion pixel between origin at a distance from, obtain the farthest pixel in the subregion
The maximum distance d of point and farthest pixel away from originmax；
Step 33: obtaining the line of farthest pixel and origin in the subregion, obtain the line and the boundary polygon
Intersection point and the intersection point to origin distance d0；
Step 34: calculating maximum distance d in the subregionmaxWith distance d0Between ratio qj, wherein i indicates the serial number of subregion；
Step 35: utilizing the ratio qjThe position of each pixel in the subregion is adjusted to the boundary polygon
It is interior.
Further, further include step 5: after color gamut conversion, video image being converted to by linear rgb signal non-linear
Rgb signal.
In conclusion by adopting the above-described technical solution, the beneficial effects of the present invention are:
1. display color accuracy is able to ascend using the present invention, by carrying out color for the gamut range of display equipment
Conversion while keeping content original brightness, enables the color more accurately reproduced picture to the full extent of display
Color.
2. the present invention takes into account display pattern difference and hardware differences, record and broadcast pattern differentials and viewing hardware difference can be taken into account
The distortion for causing display color, without changing original display equipment.
Detailed description of the invention
Examples of the present invention will be described by way of reference to the accompanying drawings, in which:
Fig. 1 is overview flow chart of the invention；
Fig. 2 is in the present invention using CIE Lab color gamut space as the schematic diagram of boundary polygon when intermediate color gamut.
Specific embodiment
All features disclosed in this specification or disclosed all methods or in the process the step of, in addition to mutually exclusive
Feature and/or step other than, can combine in any way.
It elaborates below with reference to Fig. 1-2 to the present invention.
The present invention provides a kind of using lower than Rec.2020 display equipment maximization reduction Rec.2020 colour gamut content color
Method, keep pixel brightness it is constant under the premise of, according to display equipment itself Color Range, to beyond display equipment
Rec.2020 Color Range do reasonable adaptation, voluntarily handle the process of signal different from display equipment, evade in traditional colour gamut
Under carry out transformation the problem of bringing color to be lost, avoid that signal is compressed again tone caused by autonomous stretching by force and saturation degree is big
The case where width is distorted.
The general flow for carrying out color gamut conversion includes but is not limited to following basic step: being transformed into picture signal set first
Standby unrelated intermediate color gamut gets on；It can show that the boundary of colour gamut limits by device-dependent message construction equipment again；By image pixel
Location information on intermediate color gamut judges that image exceeds the degree of equipment gamut boundary limitation；According to the position of image pixel with
Its degree for exceeding equipment colour gamut carries out pixel and adjusts in the position of intermediate color gamut；The location information that finally adjustment is obtained
Converting the relevant colour gamut of forming apparatus indicates signal；It is finally completed under the premise of not changing pixel brightness, by display color model
It encloses and is strictly limited within the color space of display equipment.
A method of showing that equipment maximizes reduction Rec.2020 colour gamut content lower than Rec.2020 colour gamut, including following
Step:
Step 1: by the color gamut conversion of video image to intermediate color gamut, obtaining each pixel in each frame video image and exist
The position of intermediate color gamut；
Step 2: by the color gamut conversion for showing equipment to intermediate color gamut, constructing the colour gamut of display equipment in the intermediate color gamut
On boundary；
Step 3: the position of pixel each in video image is adjusted to the boundary；
Step 4: the colour gamut for adjusting position rear video image being converted by intermediate color gamut to the colour gamut of display equipment, color is completed
Domain conversion.
Further, further include pre-treatment step 0:
Step 00: judging the format of video image color space, if the format of color space is rgb format, directly jump
Go to step 02；Otherwise 01 is gone to step；
Step 01: the format of video image color space is converted into rgb format；
Step 02: rgb format signal being converted by quantized signal to normalized signal, the range of the normalized signal is
[0,1], the linear R GB signal after being normalized；
Step 03: the nonlinear rgb signal of video image is converted into linear rgb signal.
Further, in the step 1, intermediate color gamut is CIE Lab color gamut space or HSB color gamut space.
Further, specific step is as follows for the step 2:
Step 21: obtaining coordinate of the display equipment three primary colors point in CIE xyz color space, it is former to connect described three
Color dot obtains gamut boundary triangle；
Step 22: boundary point sampling being carried out to three sides of the gamut boundary triangle, obtains the coordinate value of sampled point；
Step 23: the sampled point being converted into the intermediate color gamut, and is sequentially connected with the sampled point in intermediate color gamut and obtains
To boundary polygon；
Step 24: subregion being carried out to the boundary polygon, obtains k subregion.
Further, specific step is as follows for the step 3:
Step 31: each pixel under intermediate color gamut is divided in corresponding subregion；
Step 32: calculate separately in each subregion pixel between origin at a distance from, obtain the farthest pixel in the subregion
The maximum distance d of point and farthest pixel away from originmax；
Step 33: obtaining the line of farthest pixel and origin in the subregion, obtain the line and the boundary polygon
Intersection point and the intersection point to origin distance d0；
Step 34: calculating maximum distance d in the subregionmaxWith distance d0Between ratio qj, wherein i indicates the serial number of subregion；
Step 35: utilizing the ratio qjThe position of each pixel in the subregion is adjusted to the boundary polygon
It is interior.
Further, further include step 5: after color gamut conversion, video image being converted to by linear rgb signal non-linear
Rgb signal.
Specific embodiment 1
The intermediate color gamut of color gamut conversion is CIE Lab color gamut space in the present embodiment, is set wherein display equipment shows for SDR
Standby, Color Range is lower than Rec.2020；
The step of color gamut conversion, is as follows:
Step 0: the video image to be converted with Rec.2020 colour gamut content is pre-processed；
Step 00: judging the format of video image color space, if the format of color space is rgb format, directly jump
Go to step 02；Otherwise 01 is gone to step；
Step 01: the format of video image color space is converted into rgb format；
Step 02: rgb format signal being converted by quantized signal to normalized signal, the range of the normalized signal is
[0,1], the linear R GB signal after being normalized；
Step 03: the nonlinear rgb signal of video image is converted linear rgb signal, and (subsequent step is to video
The linear rgb signal of image is handled).
Step 1: the colour gamut of video image (is indicated) that conversion to CIE Lab color gamut space, is obtained using RGB color difference component
Each pixel is in the position of CIE Lab color gamut space in each frame video image；Specific step is as follows for conversion:
Step 11: establishing CIE xyz color space: the transformation matrix according to as defined in Rec.2020By video image
In the linear rgb signal of each pixel of each frame image transform in xyz color space, obtain the seat of each pixel
Mark, the formula of use are as follows:
Wherein, EmR、EmG、EmBThree components of the linear rgb signal of the pixel are respectively indicated,
X indicates component EmRValue in x-axis, y indicate component EmGValue on the y axis, z indicate component EmBIn z-axis
Value；
Step 12: using pixel in the coordinate position of xyz color space, pixel being converted to CIE Lab colour gamut
Space obtains position (a, b) of the pixel in CIE Lab color gamut space, and wherein a and b indicates the coloration point of the pixel
Amount, converts the specific method to CIE Lab color gamut space for the coordinate in xyz color space as the prior art.
Step 2: by the color gamut conversion for showing equipment to CIE Lab color gamut space, constructing the colour gamut of display equipment described
Boundary in CIELab color gamut space；
Step 21: according to the factory information of display equipment or using measurement method, obtain the display equipment three primary colors point
The coordinate (obtain sit calibration method identical as the method in step 11) of (R, G, B) in CIE xyz color space, described in connection
Three primary colors point, obtains gamut boundary triangle；
Step 22: boundary point sampling being carried out to three sides of the gamut boundary triangle, the coordinate value of sampled point is obtained, adopts
Number of samples is n, then the number of samples of each edge is n/3；
Step 23: the n sampled point is obtained by CIE xyz colour space transformation to the CIE Lab color gamut space
Coordinate of each sampled point in CIE Lab color gamut space, and (including n is a by n+3 point of sequential connection clockwise or counterclockwise
Sampled point and 3 three primary colors points), obtain boundary polygon；
Step 24: the boundary polygon being angularly divided into k subregion, for example, if boundary polygon is divided 36
Subregion, i.e., every 10 ° are a subregion.
Step 3: the position of pixel each in video image is adjusted to the boundary；
Step 31: according to position (a, b) of each pixel in CIE Lab color gamut space, calculating each pixel
The pixel is divided in corresponding subregion by angle arctan (b/a) as the quadrant where arctan (b/a) and pixel；
Step 32: calculate separately in each subregion pixel between origin at a distance from, obtain the farthest pixel in the subregion
The maximum distance d of point and farthest pixel away from originmax；
Step 33: obtaining the line of farthest pixel and origin in the subregion, obtain the line and the boundary polygon
Intersection point and the intersection point to origin distance d0；
Step 34: calculating maximum distance d in the subregionmaxWith distance d0Between ratio qj, wherein i indicates the serial number of subregion；
Step 35: utilizing the ratio qjThe position of each pixel in the subregion is adjusted to the boundary polygon
It is interior, i.e., by position (a, the b) value of pixel multiplied by the ratio q of subregion where the pixelj(or statistical disposition is carried out to all subregions,
Weight is set for different subregions, such as larger every 30 ° of subregion weight, the ratio of different subregions is weighted and averaged, is obtained
To global unified ratio qt), obtain (a of each pixel after transformationi, bi) value；
Step 36: the not transformed lightness l value of each pixel and a, b value by transformation are combined, formed (L,
ai, bi), that is, update data of the pixel in CIE Lab color gamut space；
Step 4: the colour gamut for adjusting position rear video image is converted by CIE Lab color gamut space to the color of display equipment
Color gamut conversion is completed in domain.
Step 41: each pixel being converted by CIE Lab color gamut space to CIE xyz color space, is obtained corresponding
X ' y ' z ' coordinate (converts the method to CIE xyz color space also into the prior art by CIE Lab color gamut space)；
Step 42: calculating the reverse transform matrix of display equipment colour gamut
Step 421: the white point correction vector ω of display equipment is calculated, the ratio 1 of the RGB color difference component of pixel is made:
When 1:1, tone is expressed as white, the formula of use are as follows:
ω=[R G B]-1W, wherein R indicates coordinate vector, G of the R primary colours in CIE xyz color space in display equipment
G primary colours indicate that B primary colours are in CIE in display equipment in coordinate vector, the B in CIE xyz color space in expression display equipment
Coordinate vector in xyz color space, W indicate in display equipment coordinate of the white point W in CIE xyz color space to
Amount；
Step 422: the reverse transform matrix of the calculating display equipment colour gamut to CIE xyz color spaceFormula is such as
Under:
Wherein, r, g, b respectively indicate three components in white updating vector ω.
Step 43: utilizing the reverse transform matrixEach pixel, which is reverted to RGB color difference component, to be indicated, i.e., by picture
Vegetarian refreshments is converted to display equipment colour gamut by CIE xyz color space and (is indicated using RGB color difference component), formula are as follows:
Step 45: the quick lookup between the linear rgb signal after linear rgb signal to color gamut conversion before establishing conversion
Table realizes the color gamut conversion of entire video image.
Step 5: after color gamut conversion, video image being converted into linear R GB signal by linear rgb signal.
Specific embodiment 2
The intermediate color gamut of color gamut conversion is HSB color gamut space in the present embodiment, and the step of color gamut conversion is as follows:
Step 0: video image to be converted is pre-processed；
Step 00: judging the format of video image color space, if the format of color space is rgb format, directly jump
Go to step 02；Otherwise 01 is gone to step；
Step 01: the format of video image color space is converted into rgb format；
Step 02: rgb format signal being converted by quantized signal to normalized signal, the range of the normalized signal is
[0,1], the linear R GB signal after being normalized；
Step 03: the nonlinear rgb signal of video image is converted linear rgb signal, and (subsequent step is to pixel
The rgb signal of point is handled).
Step 1: by the color gamut conversion of video image to HSB color gamut space, obtaining each picture in each frame video image
For element in the position of HSB color gamut space, it is existing that wherein the rgb value of pixel, which can directly convert the formula used to HSB color gamut space,
There is technology.
Step 2: by the color gamut conversion for showing equipment to HSB color gamut space, constructing the colour gamut of display equipment in the HSB color
Boundary on domain space；
Step 21: according to the factory information of display equipment or using measurement method, obtain the display equipment three primary colors point
(R, G, B) connects in the coordinate (method is identical as the method that step 11 in specific embodiment 1 uses) in CIE xyz color space
The three primary colors point is connect, gamut boundary triangle is obtained；
Step 22: boundary point sampling being carried out to three sides of the gamut boundary triangle, the coordinate value of sampled point is obtained, adopts
Number of samples is n, then the number of samples of each edge is n/3, by the Color Expression mode of n sampled point by CIE xyz color space
Expression, which switches back to RGB color difference component, indicates (transform method is identical as the method that step 4 in specific embodiment 1 uses)；
Step 23: the rgb value of the n sampled point being directly converted into the HSB color gamut space, obtains each sampled point
Coordinate in HSB color gamut space, and by n+3 point of sequential connection clockwise or counterclockwise (including n sampled point and 3 three
Primary color points), obtain boundary polygon；
Step 24: the boundary polygon being divided into k using the H component (form and aspect, range are 0~360 °) of each pixel
A subregion, such as when k takes 36, then boundary polygon is divided into 36 subregions as unit of 10 °.
Step 3: the position of pixel each in video image is adjusted to the boundary；
Step 31: using position of the pixel in HSB color gamut space, which being divided in corresponding subregion；
Step 32: obtaining the value of pixel S component in each subregion, obtain farthest pixel in the subregion and farthest
The value S of pixel S componentmax；
Step 33: obtaining the line of farthest pixel and origin in the subregion, obtain the line and the boundary polygon
Intersection point and the point of intersection S component value S0；
Step 34: calculating S in the subregionmaxWith S0Between ratio qj, wherein i indicates the serial number of subregion；
Step 35: utilizing the ratio qjThe position of each pixel in the subregion is adjusted to the boundary polygon
It is interior, i.e., by the S component value of pixel multiplied by the ratio q of subregion where the pixelj, obtain the S by transformationiComponent；
Step 36: by the not transformed form and aspect H of each pixel and brightness B component value and the S by convertingiComponent value into
Row combination updates data (H, S of the pixel in HSB color gamut spacei, B).
Step 4: the colour gamut for adjusting position rear video image is converted by HSB color gamut space to the colour gamut of display equipment, it is complete
At color gamut conversion, video image can be converted directly into RGB color difference component in the color representation of HSB color gamut space and indicate.
Step 5: after color gamut conversion, video image being converted into linear R GB signal by linear rgb signal.
Claims (6)
1. a kind of method for showing that equipment maximizes reduction Rec.2020 colour gamut content lower than Rec.2020 colour gamut, feature exist
In, comprising the following steps:
Step 1: by the color gamut conversion of video image to intermediate color gamut, obtaining in each frame video image each pixel in centre
The position of colour gamut；
Step 2: by the color gamut conversion for showing equipment to intermediate color gamut, constructing the colour gamut of display equipment on the intermediate color gamut
Boundary；
Step 3: pixel each in video image is adjusted in the position of intermediate color gamut to the boundary；
Step 4: the colour gamut for adjusting position rear video image being converted by intermediate color gamut to the colour gamut of display equipment, colour gamut is completed and turns
It changes.
2. a kind of maximize lower than Rec.2020 colour gamut display equipment according to claim 1 restores in Rec.2020 colour gamut
The method of appearance, it is characterised in that: further include pre-treatment step 0:
Step 00: judging the format of video image color space, if the format of color space is rgb format, jump directly to
Step 02；Otherwise 01 is gone to step；
Step 01: the format of video image color space is converted into rgb format；
Step 02: rgb format signal is converted by quantized signal to normalized signal, the range of the normalized signal be [0,
1], the linear R GB signal after being normalized；
Step 03: video image is converted into linear rgb signal by linear R GB signal.
3. a kind of maximize lower than Rec.2020 colour gamut display equipment according to claim 1 restores in Rec.2020 colour gamut
The method of appearance, it is characterised in that: in the step 1, intermediate color gamut is CIE Lab color gamut space or HSB color gamut space.
4. a kind of maximize lower than Rec.2020 colour gamut display equipment according to claim 1 restores in Rec.2020 colour gamut
The method of appearance, it is characterised in that: specific step is as follows for the step 2:
Step 21: obtaining coordinate of the display equipment three primary colors point in CIE xyz color space, connect the three primary colors
Point obtains gamut boundary triangle；
Step 22: boundary point sampling being carried out to three sides of the gamut boundary triangle, obtains the coordinate value of sampled point；
Step 23: the sampled point being converted into the intermediate color gamut, and is sequentially connected with the sampled point in intermediate color gamut and obtains side
Boundary's polygon；
Step 24: subregion being carried out to the boundary polygon, obtains k subregion.
5. a kind of maximize lower than Rec.2020 colour gamut display equipment according to claim 3 restores in Rec.2020 colour gamut
The method of appearance, it is characterised in that: specific step is as follows for the step 3:
Step 31: each pixel under intermediate color gamut is divided in corresponding subregion；
Step 32: calculate separately in each subregion pixel between origin at a distance from, obtain farthest pixel in the subregion and
Maximum distance d of the farthest pixel away from originmax；
Step 33: obtaining the line of farthest pixel and origin in the subregion, obtain the friendship of the line Yu the boundary polygon
Point and the intersection point to origin distance d0；
Step 34: calculating maximum distance d in the subregionmaxWith distance d0Between ratio qj, wherein i indicates the serial number of subregion；
Step 35: utilizing the ratio qjThe position of each pixel in the subregion is adjusted to the boundary polygon.
6. a kind of maximize lower than Rec.2020 colour gamut display equipment according to claim 1 restores in Rec.2020 colour gamut
The method of appearance, it is characterised in that: further include step 5: after color gamut conversion, video image is converted to by linear rgb signal non-
Linear rgb signal.
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| WO2021073330A1 (en) * | 2019-10-18 | 2021-04-22 | 华为技术有限公司 | Video signal processing method and apparatus |
| CN113628286A (en) * | 2021-08-09 | 2021-11-09 | 咪咕视讯科技有限公司 | Video color gamut detection method and device, computing equipment and computer storage medium |
| CN114067740A (en) * | 2020-07-31 | 2022-02-18 | 北京小米移动软件有限公司 | Screen calibration method and device, electronic equipment and storage medium |
| GB2608990A (en) * | 2021-07-08 | 2023-01-25 | British Broadcasting Corp | Method and apparatus for conversion of HDR signals |
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