CN105895054A - Adjustment method of output brightness, adjustment method of Gamma curve and display device - Google Patents
Adjustment method of output brightness, adjustment method of Gamma curve and display device Download PDFInfo
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- CN105895054A CN105895054A CN201610326348.9A CN201610326348A CN105895054A CN 105895054 A CN105895054 A CN 105895054A CN 201610326348 A CN201610326348 A CN 201610326348A CN 105895054 A CN105895054 A CN 105895054A
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- grey decision
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
Abstract
The invention discloses an adjustment method of output brightness, an adjustment method of a Gamma curve and a display device. The adjustment method of output brightness includes the following steps that: an image is divided into a plurality of sub images; the gray scale values of each pixel in the sub images are acquired; and the output brightness of each sub image is adjusted according to the gray scale value distribution condition of each sub image. With the adjustment method of the output brightness of the invention adopted, the brightness of a display image can be adjusted regionally, and a display effect can be improved.
Description
Technical field
The present invention relates to Display Technique field, particularly relate to export brightness control method,
The method of adjustment of gamma curve and display device.
Background technology
Gamma curve (gamma curve) inputs at display, scanner, printer etc., exports
In equipment, this is a fairly common and important concept.In computer systems, due to
The reason of video card or display there will be the image of actual output deviation in brightness, and
Gamma curve adjusts and is through certain method to the method adjusting this deviation of image.One
In the case of as, when the value adjusted for Gamma is more than 1, the high light part of image is compressed
And shadow part is expanded, when the value that Gamma adjusts is less than 1, the high light part quilt of image
Extension and shadow part is compressed, Gamma adjusts the details of extension shadow being generally used for smoothing.
In the prior art, when when image being Gamma and adjusting, it is all on the whole by whole
Individual picture carries out identical Gamma and adjusts, and causes whole display picture all can change, from
And make to show that the contrast of picture is the highest.
Summary of the invention
The technical problem that present invention mainly solves be to provide a kind of export brightness control method,
The method of adjustment of gamma curve and display device, it is possible to subregion adjusts the brightness of display picture,
Improve display effect.
For solving above-mentioned technical problem, the technical scheme that the present invention uses is: provide a kind of defeated
Going out the control method of brightness, the method includes: divide an image into multiple subimage；Obtain subgraph
The grey decision-making of each pixel in Xiang；Grey decision-making distribution situation according to each subimage, adjusts respectively
The output brightness of whole each subimage.
Wherein, according to the grey decision-making distribution situation of each subimage, each subimage is adjusted respectively
Output brightness, comprises determining that the grey decision-making section that in each subimage, GTG Distribution value is most, and adjusts
The rate of change that the output brightness of the grey decision-making section that height determines changes with grey decision-making.
Wherein, also include: grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high ash
Rank value section；First it is correspondingly arranged respectively for low grey decision-making section, middle grey decision-making section and high gray value section
Gamma curve, the second gamma curve and the 3rd gamma curve；Wherein, a Gamma
Curve is more than middle grey decision-making section and high gray value section, the 2nd Gamma at the slope of low grey decision-making section
Curve is more than low grey decision-making section and high gray value section, the 3rd Gamma at the slope of middle grey decision-making section
Curve is more than low grey decision-making section and middle grey decision-making section at the slope of high gray value section；Determine each subgraph
The grey decision-making section that in Xiang, GTG Distribution value is most, and heighten the output brightness of the grey decision-making section determined with
The rate of change of grey decision-making change, including: according to the grey decision-making that the distribution of each subimage grey decision-making is most
The gamma curve that section is corresponding, adjusts the output brightness of each subimage respectively.
Wherein, the canonical function expression formula that gamma curve is corresponding is:Wherein, NGray_maxFor maximum gray value, Gray be [0,
NGray_maxAny grey decision-making between], γ is Gamma value, LmaxFor default maximum brightness value,
LGrayFor the output brightness value corresponding with grey decision-making Gray.
Wherein, low grey decision-making section is 0-40 GTG, and middle grey decision-making section is 41-210 GTG, high ash
Rank value section is 211-255 GTG.
Wherein, according to the grey decision-making distribution situation of each subimage, each subimage is adjusted respectively
Output brightness, also includes: turn down the defeated of the minimum grey decision-making section of GTG Distribution value in each subimage
Go out the rate of change that brightness changes with grey decision-making.
Wherein, divide an image into multiple subimage, including: divide an image into 4*4 totally 16
Individual subimage.
For solving above-mentioned technical problem, another technical solution used in the present invention is: provide one
The method of adjustment of gamma curve, the method includes: divide an image into multiple subimage；Obtain
The grey decision-making of each pixel in subimage；Grey decision-making distribution situation according to each subimage, point
Do not adjust the gamma curve of each subimage.
Wherein, also include: grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high ash
Rank value section；First it is correspondingly arranged respectively for low grey decision-making section, middle grey decision-making section and high gray value section
Gamma curve, the second gamma curve and the 3rd gamma curve；Wherein, a Gamma
Curve is more than middle grey decision-making section and high gray value section, the 2nd Gamma at the slope of low grey decision-making section
Curve is more than low grey decision-making section and high gray value section, the 3rd Gamma at the slope of middle grey decision-making section
Curve is more than low grey decision-making section and middle grey decision-making section at the slope of high gray value section；According to each subgraph
The grey decision-making distribution situation of picture, adjusts the gamma curve of each subimage respectively, including: root
According to the gamma curve that the grey decision-making section that the distribution of each subimage grey decision-making is most is corresponding, adjust respectively
The output brightness of whole each subimage.
For solving above-mentioned technical problem, another technical solution used in the present invention is: provide display
Device, this device includes: image processing module, is used for dividing an image into multiple subimage；Obtain
Delivery block, for obtaining the grey decision-making of each pixel in subimage；Luminance adjustment module, is used for
Grey decision-making distribution situation according to each subimage, adjusts the output brightness of each subimage respectively.
The invention has the beneficial effects as follows: be different from the situation of prior art, the present invention exports brightness
Control method includes: divide an image into multiple subimage；Obtain each pixel in subimage
Grey decision-making；Grey decision-making distribution situation according to each subimage, adjusts the defeated of each subimage respectively
Go out brightness.By the way, it is possible to the brightness of display picture is adjusted by subregion, to increase
Add the luminance contrast of the image of zones of different, thus improve display effect.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet that the present invention exports control method first embodiment of brightness；
Fig. 2 is that the present invention exports the signal of image division in control method first embodiment of brightness
Figure；
Fig. 3 is the schematic flow sheet that the present invention exports control method second embodiment of brightness；
Fig. 4 be Gamma value be gamma curve schematic diagram when 1 and 2.2；
It is bent that Fig. 5 a is that the present invention exports a Gamma in control method second embodiment of brightness
First schematic diagram of line；
It is bent that Fig. 5 b is that the present invention exports a Gamma in control method second embodiment of brightness
Second schematic diagram of line；
It is bent that Fig. 6 is that the present invention exports the 2nd Gamma in control method second embodiment of brightness
Line schematic diagram；
It is bent that Fig. 7 a is that the present invention exports the 3rd Gamma in control method second embodiment of brightness
First schematic diagram of line；
It is bent that Fig. 7 b is that the present invention exports the 3rd Gamma in control method second embodiment of brightness
Second schematic diagram of line；
Fig. 8 is the schematic flow sheet of method of adjustment one embodiment of gamma curve of the present invention；
Fig. 9 is the structural representation of display device one embodiment of the present invention.
Detailed description of the invention
Refering to Fig. 1, the present invention exports the schematic flow sheet of control method first embodiment of brightness,
The method includes:
S11: divide an image into multiple subimage.
Wherein, in the display device, divide an image into multiple subimage to refer to the figure of each frame
As being all divided into multiple subimage.The step of present embodiment is also the process to each two field picture
Journey.It addition, on the equipment such as printer, scanner, can be that every one page input picture is carried out
Divide.
Optionally, the method dividing an image into multiple subimage, can be by whole rectangular frame
It is divided into the multiple little rectangle arranged in length and breadth, multiple dividing mode such as such as 3*3,4*4,4*3 etc.,
Wherein figure 2 show the image division mode of a kind of 4*4, totally 16 subimages.
Optionally, in other embodiments, it is also possible to by the content identifying picture, image is entered
The irregular division of row, such as, when showing that picture includes foreground and background, can be to prospect
Divide with the part of background；Or when showing that picture includes multiple personage or article, also
Different personages or article can be divided.
Optionally, in other embodiments, it is also possible to by identifying the ash of each pixel in picture
Rank carry out irregular division to image, and such as, some region of grey decision-making is higher, Ze Jianggai district
Territory is individually divided into a region.
S12: obtain the grey decision-making of each pixel in subimage.
Wherein, printer, display device display image embodiment in, can by obtain
The data of image obtain the grey decision-making of each pixel；In the embodiment of scanner, permissible
By identifying image and obtaining the grey decision-making of each pixel.
S13: according to the grey decision-making distribution situation of each subimage, adjust each subimage respectively
Output brightness.
Wherein, the grey decision-making distribution situation of subimage can in this subimage each pixel
The meansigma methods of grey decision-making；It can also be the accounting of the pixel of presetted pixel value section in this subimage.
Such as, as a example by being [0,255] with grey decision-making scope, when the pixel average gray-scale value of a subimage
It is 30 or account for great majority less than the pixel of preset gray scale value, it is believed that this subimage
Grey decision-making is on the low side, when exporting image, can suitably heighten the brightness of this subimage.
Optionally, in one embodiment, it may be determined that in each subimage, GTG Distribution value is most
Grey decision-making section, and the rate of change that the output brightness heightening the grey decision-making section that determines changes with grey decision-making.
Specifically, it is different from the brightness directly heightening this subimage, heightens brightness and change with grey decision-making
Rate of change the luminance difference of different pixels point that grey decision-making is close can be made to increase.
Optionally, in other embodiments, it is also possible to turn down GTG Distribution value in each subimage
The rate of change that the output brightness of minimum grey decision-making section changes with grey decision-making.
Being different from prior art, the control method of the output brightness of present embodiment includes: by image
It is divided into multiple subimage；Obtain the grey decision-making of each pixel in subimage；According to each subgraph
The grey decision-making distribution situation of picture, adjusts the output brightness of each subimage respectively.By the way,
The brightness of display picture can be adjusted, to increase the brightness of the image of zones of different subregion
Contrast, thus improve display effect.
Refering to Fig. 3, the present invention exports the schematic flow sheet of control method second embodiment of brightness,
The method includes:
S31: grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high gray value section.
Optionally, in one embodiment, grey decision-making is according to 28Individual division, i.e. [0,255] totally 256
Individual grey decision-making, can be set to grey decision-making section: low grey decision-making section is 0-40 GTG, middle grey decision-making
Section is 41-210 GTG, and high gray value section is 211-255 GTG.
It should be understood that the dividing mode of the division of grey decision-making and grey decision-making section is not restricted to above-mentioned
Embodiment, such as, can divide according to gray scale, and the gray scale of low grey decision-making section is 0-20%, in
The gray scale of grey decision-making section is 20%-80%, and the gray scale of high gray value section is 80%-100%.
S32: be correspondingly arranged respectively for low grey decision-making section, middle grey decision-making section and high gray value section
One gamma curve, the second gamma curve and the 3rd gamma curve.
Wherein, the first gamma curve is more than middle grey decision-making section and height at the slope of low grey decision-making section
Grey decision-making section, the second gamma curve is more than low grey decision-making section and height at the slope of middle grey decision-making section
Grey decision-making section, the 3rd gamma curve high gray value section slope more than low grey decision-making section and in
Grey decision-making section.
Wherein, the canonical function expression formula that gamma curve is corresponding is:
Wherein, NGray_maxFor maximum gray value, Gray is [0, NGray_maxAny GTG between]
Value, γ is Gamma value, LmaxFor default maximum brightness value, LGrayFor with grey decision-making Gray pair
The output brightness value answered.
It should be understood thatRepresent gray scale,Represent brightness, at figure 4 below-Fig. 7
In, abscissa represents the gray scale ratio of total grey decision-making (grey decision-making account for), and vertical coordinate represents that brightness is (bright
Angle value accounts for the ratio of total luminance value).
As shown in Figure 4, according to above-mentioned formula, when Gamma value is 1, brightness=gray scale, i.e.
Gamma curve is shown in A curve.In the prior art, in order to be suitable for human eye viewing, typically
Display device all Gamma value is set to 2.2, its curve is as shown in B curve.
Concrete, as shown in figure 5 a and 5b, these two gamma curve are in low grey decision-making section
Slope be significantly greater than other grey decision-making sections, the slope of gamma curve represents that brightness is with grey scale change
Rate of change, i.e. in low grey decision-making section, when grey decision-making change is less, and the change of brightness can big one
A bit.
As shown in Figure 6, this gamma curve is significantly greater than other at the slope of middle grey decision-making section
Grey decision-making section, the slope of gamma curve represents the brightness rate of change with grey scale change, i.e. mellow lime
Rank value section, when grey decision-making change is less, and the change of brightness can be larger.
As shown in figs. 7 a and 7b, these two gamma curve are bright at the slope of high gray value section
It is aobvious that more than other grey decision-making sections, the slope of gamma curve represents the brightness rate of change with grey scale change,
I.e. in high gray value section, when grey decision-making change is less, and the change of brightness can be larger.
By above-mentioned gamma curve, it is possible to increase the rate of change of brightness of a certain grey decision-making section,
To improve the luminance contrast of this grey decision-making section.
It should be understood that owing to above-mentioned gamma curve is irregular curve, so its
Gamma value is as the change of grey decision-making and changes, with Gamma value being set of prior art
It is different for being set to a certain fixed value (such as 2.2).
It should be understood that step S31-S32 can be previously-completed, i.e. need not in display every
It is carried out during one width figure, optionally, can perform when Default Value or user setup.
S33: divide an image into multiple subimage.
S34: obtain the grey decision-making of each pixel in subimage.
S35: bent according to the Gamma that the grey decision-making section that the distribution of each subimage grey decision-making is most is corresponding
Line, adjusts the output brightness of each subimage respectively.
With a specific example, present embodiment is illustrated below:
When display needs to show an image, first image to be displayed is divided into 4*4 totally 16
Individual subimage, is analyzed each subimage, to obtain the ash of each pixel in subimage
Rank are worth.
Such as in the first subimage, having 100,000 pixels, wherein grey decision-making is at low GTG
There are 60,000 between value section 0-40, between middle grey decision-making section 41-210, have 20,000,
20,000 are had between high gray value section 211-255.Then it can be assumed that, in this subimage, low
The accounting of grey decision-making section is maximum.
When exporting this image, need the first subimage to use the first gamma curve to regulate
Curve shown in brightness, i.e. Fig. 5 a or Fig. 5 b.
It should be noted that the curve of above-mentioned diagram is only schematic diagram, be not the song of unique selection
Line, as long as its curvilinear motion characteristic meets the requirement of present embodiment, i.e. the guarantor of present embodiment
Within the scope of protecting.
Refering to Fig. 8, the schematic flow sheet of method of adjustment one embodiment of gamma curve of the present invention,
The method includes:
S81: divide an image into multiple subimage.
S82: obtain the grey decision-making of each pixel in subimage.
S83: according to the grey decision-making distribution situation of each subimage, adjust each subimage respectively
Gamma curve.
Optionally, in other embodiments, before S81, it is also possible to including:
Grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high gray value section；For low ash
Rank value section, middle grey decision-making section and high gray value section be correspondingly arranged respectively the first gamma curve,
Second gamma curve and the 3rd gamma curve；Wherein, the first gamma curve is low
The slope of grey decision-making section be more than middle grey decision-making section and high gray value section, the second gamma curve in
The slope of grey decision-making section is more than low grey decision-making section and high gray value section, and the 3rd gamma curve is at height
The slope of grey decision-making section is more than low grey decision-making section and middle grey decision-making section.
S83 could alternatively be: corresponding according to the grey decision-making section that the distribution of each subimage grey decision-making is most
Gamma curve, adjust the output brightness of each subimage respectively.
The principle of present embodiment is similar, here with above-mentioned second embodiment with specific implementation process
Repeat no more.
Refering to Fig. 9, the structural representation of display device one embodiment of the present invention, this display device
Including:
Image processing module 91, is used for dividing an image into multiple subimage.
Acquisition module 92, for obtaining the grey decision-making of each pixel in subimage.
Luminance adjustment module 93, for the grey decision-making distribution situation according to each subimage, adjusts respectively
The output brightness of whole each subimage.
Optionally, in other embodiments, this display device also includes arranging module, is used for:
Grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high gray value section；For low ash
Rank value section, middle grey decision-making section and high gray value section be correspondingly arranged respectively the first gamma curve,
Second gamma curve and the 3rd gamma curve；Wherein, the first gamma curve is low
The slope of grey decision-making section be more than middle grey decision-making section and high gray value section, the second gamma curve in
The slope of grey decision-making section is more than low grey decision-making section and high gray value section, and the 3rd gamma curve is at height
The slope of grey decision-making section is more than low grey decision-making section and middle grey decision-making section.
Luminance adjustment module 93 is additionally operable to the grey decision-making most according to the distribution of each subimage grey decision-making
The gamma curve that section is corresponding, adjusts the output brightness of each subimage respectively.
It should be understood that this image processing module 91, acquisition module 92 and brightness regulation mould
Block 93 can be integrated processor, and this processor is used at display, printer, sweeps
Retouch the brightness regulating image in the equipment such as instrument.
Or, this image processing module 91, acquisition module 92 and luminance adjustment module 93 are also
Can be integrated video card, for the brightness of regulation display picture in the display device.
In several embodiments provided by the present invention, it should be understood that disclosed method with
And equipment, can realize by another way.Such as, equipment embodiment described above
It is only schematically, such as, described module or the division of unit, it is only a kind of logic function
Dividing, actual can have other dividing mode, the most multiple unit or assembly to tie when realizing
Close or be desirably integrated into another system, or some features can be ignored, or not performing.
The described unit illustrated as separating component can be or may not be physically separate
, the parts shown as unit can be or may not be physical location, i.e. may be located at
One place, or can also be distributed on multiple NE.Can select according to the actual needs
Select some or all of unit therein to realize the purpose of present embodiment scheme.
It addition, each functional unit in each embodiment of the present invention can be integrated in a process
In unit, it is also possible to be that unit is individually physically present, it is also possible to two or more unit
Integrated in a unit.Above-mentioned integrated unit both can realize to use the form of hardware, it is possible to
To use the form of SFU software functional unit to realize.
If the integrated unit in other embodiments above-mentioned is real with the form of SFU software functional unit
Now and as independent production marketing or when using, the storage of embodied on computer readable can be stored in
In medium.Based on such understanding, technical scheme is the most in other words to prior art
The part contributed or this technical scheme completely or partially can be with the form of software product
Embodying, this computer software product is stored in a storage medium, uses including some instructions
So that a computer equipment (can be personal computer, server, or the network equipment etc.)
Or processor (processor) performs all or part of of method described in each embodiment of the present invention
Step.And aforesaid storage medium includes: USB flash disk, portable hard drive, read only memory (ROM,
Read-Only Memory), random access memory (RAM, Random Access Memory),
The various medium that can store program code such as magnetic disc or CD.
The foregoing is only embodiments of the present invention, not thereby limit the scope of the claims of the present invention,
Every equivalent structure utilizing description of the invention and accompanying drawing content to be made or equivalence flow process conversion, or
Directly or indirectly being used in other relevant technical fields, the patent being the most in like manner included in the present invention is protected
In the range of protecting.
Claims (10)
1. the control method exporting brightness, it is characterised in that including:
Divide an image into multiple subimage；
Obtain the grey decision-making of each pixel in described subimage；
Grey decision-making distribution situation according to each subimage, the output adjusting each subimage respectively is bright
Degree.
Method the most according to claim 1, it is characterised in that described according to each subimage
Grey decision-making distribution situation, adjust the output brightness of each subimage respectively, including:
Determine the grey decision-making section that in each subimage, GTG Distribution value is most, and heighten and described determine
The rate of change that the output brightness of grey decision-making section changes with grey decision-making.
Method the most according to claim 2, it is characterised in that also include:
Grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high gray value section；
First it is correspondingly arranged respectively for described low grey decision-making section, middle grey decision-making section and high gray value section
Gamma curve, the second gamma curve and the 3rd gamma curve；
Wherein, described first gamma curve is more than middle grey decision-making section at the slope of low grey decision-making section
With high gray value section, described second gamma curve is more than low GTG at the slope of middle grey decision-making section
Value section and high gray value section, described 3rd gamma curve is more than low at the slope of high gray value section
Grey decision-making section and middle grey decision-making section；
The described grey decision-making section determining that in each subimage, GTG Distribution value is most, and heighten described really
The rate of change that the output brightness of fixed grey decision-making section changes with grey decision-making, including:
According to the gamma curve that the grey decision-making section that the distribution of each subimage grey decision-making is most is corresponding,
Adjust the output brightness of each subimage respectively.
Method the most according to claim 3, it is characterised in that described gamma curve is corresponding
Canonical function expression formula be:
Wherein, NGray_maxFor maximum gray value, Gray is [0, NGray_maxAny GTG between]
Value, γ is Gamma value, LmaxFor default maximum brightness value, LGrayFor with grey decision-making Gray pair
The output brightness value answered.
Method the most according to claim 3, it is characterised in that described low grey decision-making section is 0-40
GTG, described middle grey decision-making section is 41-210 GTG, and described high gray value section is 211-255 GTG.
Method the most according to claim 2, it is characterised in that described according to each subimage
Grey decision-making distribution situation, adjust the output brightness of each subimage respectively, also include:
Turn down the output brightness of the minimum grey decision-making section of GTG Distribution value in each subimage with GTG
The rate of change of value change.
Method the most according to claim 1, it is characterised in that described in divide an image into many
Individual subimage, including:
Divide an image into 4*4 totally 16 subimages.
8. the method for adjustment of a gamma curve, it is characterised in that including:
Divide an image into multiple subimage；
Obtain the grey decision-making of each pixel in described subimage；
Grey decision-making distribution situation according to each subimage, adjusts the Gamma of each subimage respectively
Curve.
Method the most according to claim 8, it is characterised in that also include:
Grey decision-making is divided into low grey decision-making section, middle grey decision-making section and high gray value section；
First it is correspondingly arranged respectively for described low grey decision-making section, middle grey decision-making section and high gray value section
Gamma curve, the second gamma curve and the 3rd gamma curve；
Wherein, described first gamma curve is more than middle grey decision-making section at the slope of low grey decision-making section
With high gray value section, described second gamma curve is more than low GTG at the slope of middle grey decision-making section
Value section and high gray value section, described 3rd gamma curve is more than low at the slope of high gray value section
Grey decision-making section and middle grey decision-making section；
The described grey decision-making distribution situation according to each subimage, adjusts each subimage respectively
Gamma curve, including:
According to the gamma curve that the grey decision-making section that the distribution of each subimage grey decision-making is most is corresponding,
Adjust the output brightness of each subimage respectively.
10. a display device, it is characterised in that including:
Image processing module, is used for dividing an image into multiple subimage；
Acquisition module, for obtaining the grey decision-making of each pixel in described subimage；
Luminance adjustment module, for the grey decision-making distribution situation according to each subimage, adjusts respectively
The output brightness of each subimage.
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