CN107068042A - Image processing method - Google Patents
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- CN107068042A CN107068042A CN201710283813.XA CN201710283813A CN107068042A CN 107068042 A CN107068042 A CN 107068042A CN 201710283813 A CN201710283813 A CN 201710283813A CN 107068042 A CN107068042 A CN 107068042A
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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
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/90—Dynamic range modification of images or parts thereof
- G06T5/92—Dynamic range modification of images or parts thereof based on global image properties
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Abstract
The present invention proposes a kind of image processing method, the chromatic component of input picture is constant after its for example sectional-regulated to the luminance component progress after input picture progress color space conversion again to input picture after conversion and holding conversion, and reconvert returns to native color space with target image after being handled afterwards.Due to when luminance component is adjusted in view of weighing between the contrast of image and brightness, thus can cause processing after target image contrast during luminance raising be also maintained；Consequently, it is possible to can then retain the contrast information of image and the detailed information of image as much as possible, the problem of solving to show industry such as LED display lines image information lose serious when lifting display brightness in the industry.
Description
Technical field
The present invention relates to display technology field, more particularly to a kind of it can lift the image processing method of brightness of image.
Background technology
With the development of LED display technique, current LED display is because its cost is low, small power consumption, visual high, assembling from
By the advantages of be applied to various fields.LED display is, using semiconductor light-emitting-diode as basic light-emitting component, to pass through control
Circuit and drive circuit control light on and off or its bright-dark degree of each light-emitting component, show required various information.Mesh
There is the too low phenomenon of display brightness in preceding LED display, be mainly reflected in following two aspects：1. used for outdoor daytime
LED display, it is desirable to which its display picture brightness is high, but due to display device itself limitation, there is the inadequate phenomenon of brightness；2. it is right
In the LED display that use time is more long, it may occur that aging, cause the brightness of display picture inadequate.Both the above LED display
The inadequate phenomenon of brightness directly results in the picture quality degradation that eye-observation is arrived.
For LED display brightness it is inadequate the problem of, have two kinds of solutions：(a) existing LED display, purchase are eliminated
New screen body or the high screen body of unit brightness；(b) image source, the brightness of lifting image in itself are changed.The cost of obvious method (a)
It is too big, therefore method (b) becomes the method for solving the inadequate first choice of existing LED display brightness.
Prior art use method (b) lifted image intrinsic brightness way for：It is Ratio=to remember luminance raising ratio
0.5, then the luminance component Brightness of original image is extracted first, then to the luminance component of each pixel
Brightness (i, j) is multiplied by (Ratio+1), using its result as the pixel final gray value DestImg (i, j)=
Brightness (i, j) × (Ratio+1), so as to lift the brightness of image in itself.
However, by taking 8Bit image sources as an example, gradation of image maximum is 255, therefore the image meeting after prior art processing
The phenomenon for having grey scale pixel value to be more than 255, is referred to as to cross the border, and these values eventually retain gray value 255, cause final process
The high bright part loss in detail of image afterwards is for example shown in Fig. 3 B, so as to influence image quality.As shown in figure 1, wherein heavy line represents former
Beginning gradation of image, fine line represents the grey scale mapping curve after image lifting brightness.
The content of the invention
Therefore, to overcome the defect and deficiency of prior art, the present invention proposes a kind of to lift the image of brightness of image
Processing method.
Specifically, a kind of image processing method that the embodiment of the present invention is proposed, including step：(i) input picture is obtained；
(ii) pixel data of the input picture is showed the score from color space to obtain after conversion from primary colours color space conversion to color
Input picture；(iii) formula is utilized
The contrast difference of image and input picture after conversion after the processing when Q values are minimum is solved, wherein θ is for adjusting image pair
The factor and θ compensated than degree and brightness of image<1, △ Idis,iThe contrast of i-th of segmentation of image, △ I after expression processingori,i
Represent the contrast of i-th of segmentation of input picture after conversion, PiRepresent that input picture is all in i-th of segmentation after conversion
The histogram probable value of luminance component, the segmentation number of the luminance component scope of input picture after N changes for expression, so thatImage and the contrast difference weighting of N number of segmentation of input picture after conversion after expression processing
With Histdis,iThe statistics with histogram value of all luminance components of the image in i-th of segmentation after expression processing；Histori,iTable
Show the statistics with histogram value of all luminance components of the input picture in i-th of segmentation after conversion；(iv) obtained based on solution
Image and contrast of the input picture in each segmentation after the contrast difference of input picture after conversion and conversion after processing,
Calculate processing after image each segmentation in contrast with the luminance component segmented node of image after being handled；(v)
The luminance component segmented node of input picture, is calculated after conversion after luminance component segmented node and conversion based on image after processing
The mapping value of each luminance component of the input picture in each segmentation, to obtain luminance component mapping curve；(vi) base
In the luminance component mapping curve, the mapping value of the luminance component of each pixel of input picture after conversion is calculated；(vii)
The mapping value of the luminance component of each pixel of input picture after conversion and chromatic component value are transformed into the primary colours color
Space, to obtain image after the processing；And (viii) exports image to target display screen after the processing and shown.
In one embodiment of the invention, the primary colours color space is RGB color, and the color is showed the score from color
Space is YUV color spaces or YCbCr color spaces.
In one embodiment of the invention, N number of segmentation in step (iii) be by after conversion input picture it is bright
Degree components range is divided equally.
In one embodiment of the invention, step (v) includes：According to input picture after below equation calculating conversion every
The mapping value of each luminance component in one segmentation：
Wherein gray represents luminance component of the input picture in i-th of segmentation after conversion, and newGray (gray) represents to input after conversion
Luminance component gray of the image in i-th of segmentation mapping value, gray ∈ [old_segment (i), old_segment (i+
1)], old_segment (i) and old_segment (i+1) is two segmentation sections of i-th of segmentation of input picture after changing
Point, newGray (gray) ∈ [new_segment (i), new_segment (i+1)], new_segment (i) and new_
Segment (i+1) is two segmented nodes of i-th of segmentation of image after handling,And represent the brightness regulation factor.
In addition, a kind of image processing method that another embodiment of the present invention is proposed, including step：Receive input picture；Will
The pixel data of the input picture is showed the score from color space from primary colours color space conversion to color with input figure after being changed
Picture；Luminance component progress to input picture after conversion is sectional-regulated and keeps the chromatic component of input picture after conversion constant；
The regulated value of the luminance component of each pixel of input picture after conversion and chromatic component value are transformed into the primary colours color
Space, to obtain image after the processing；And image to target display screen is shown after the output processing.
In one embodiment of the invention, after the processing pixel data of image and the input picture cause it is following
Q values in formula are minimum：
Wherein, △ IdisThe contrast of position (i, j) place pixel of image, △ I after (i, j) expression processingori(i, j) is represented
The contrast of position (i, j) place pixel of input picture, the method for solving of image pixel contrast is：Present intensity value and and its
The difference of closest and smaller brightness value；Histdis(k) the statistics with histogram value of the gray value k after expression processing in image,
Histori(k) the statistics with histogram value of the gray value k in input picture is represented；TotalGrayNum represents the gray scale of input picture
Number, if the digit of input picture is BitNum, then TotalGrayNum=power (2, BitNum)=2BitNum；θ is for adjusting
The factor and θ of whole picture contrast and brightness of image compensation<1, M, N represent the width and height of input picture.
From the foregoing, it will be observed that the image processing method of the embodiment of the present invention can to the greatest extent may be used while image display brightness is lifted
Energy ground retains the contrast information of image and the detailed information of image, solves display industry such as LED display lines and is carrying in the industry
The problem of image information loses serious when rising display brightness.
By the detailed description below with reference to accompanying drawing, other side and feature of the invention becomes obvious.But should know
Road, the accompanying drawing is only the purpose design explained, not as the restriction of the scope of the present invention.It should also be noted that unless another
Point out outside, it is not necessary to scale accompanying drawing, they only try hard to conceptually illustrate structure described herein and flow.
Brief description of the drawings
Below in conjunction with accompanying drawing, the embodiment to the present invention is described in detail.
Fig. 1 is grey scale mapping graph of a relation after prior art luminance raising.
Fig. 2 for the embodiment of the present invention processing after image and original image intensity of brightness mapping relations figure.
Fig. 3 A-3C be original image, prior art processing after image and the embodiment of the present invention processing after image effect compare
Schematic diagram.
Fig. 4 is the image processing method schematic flow sheet of the embodiment of the present invention.
Embodiment
In order to facilitate the understanding of the purposes, features and advantages of the present invention, below in conjunction with the accompanying drawings to the present invention
Embodiment be described in detail.
An object of the present invention be to provide it is a kind of can lift the image processing method of brightness of image, this method is in lifting
While image display brightness, it can more fully retain image information.
Specifically, the embodiment of the present invention lifts the brightness of image with as far as possible on the premise of picture contrast is ensured as far as possible
Ground retains the original appearance of image, that is, finds a mapping curve so that the Q values that formula (1) is solved are minimum；The implication of the formula (1)
It is to be weighed between the contrast of image and brightness so that image contrast during luminance raising is also able to after processing
Keep.
Wherein,
①△IdisThe contrast of position (i, j) place pixel of image, △ I after (i, j) expression processingori(i, j) represents former
The contrast of position (i, j) place pixel of image；Wherein, image pixel contrast △ I method for solving is：Present intensity value and
Difference of closest and smaller brightness value with its；
②Histdis(k) the statistics with histogram value of the gray value k after expression processing in image, Histori(k) artwork is represented
The statistics with histogram value of gray value k as in；TotalGrayNum represents the grey of image, if the digit of image is
BitNum, then TotalGrayNum=power (2, BitNum)=2BitNum；
3. θ is the factor and θ for adjusting picture contrast and brightness of image compensation<1, θ is bigger, image comparison after processing
Degree with original image closer to；M, N represent the width and height (typically being represented with pixel quantity) of image.
It will be described in detail below so that input picture is 8 potential sources as an example：
According to above formula (1), computation complexity is of a relatively high, therefore the embodiment of the present invention is preferably by segment processing
Thought, with simplify calculating.Specific to use formula (2), schematic diagram is as shown in Figure 2.Wherein N represents segmentation number, and to original
Gray scale (or brightness degree) such as 0-255 is divided equally, then such as length △ dis of each segmentationori,i=
(TotalGrayNum-1)/N。
Hold above-mentioned, as shown in Fig. 2 abscissa represents original image intensity of brightness (Original Image Intensity),
Brightness of image intensity (Display Image Intensity) mapping value after ordinate expression processing.In formula (2)The contrast difference weighted sum of N number of segmentation of image and original image, P after expression processingiRepresent
Original image is segmented the histogram probable value of all gray scales (brightness degree) of interior distribution at i-th, and circular can be
Total pixel number amount in the total number of pixels (namely statistics with histogram value) divided by original image of all gray scales being distributed in i-th section；
Histdis,iThe statistics with histogram value of all brightness degrees of the image in i-th of segmentation after expression processing；Histori,iRepresent former
The statistics with histogram value of all brightness degrees of the image in i-th of segmentation.
Solve and cause the minimum mapping curve of Q values in formula (2), be the mapping curve finally to be solved.
Make Xi=△ Idis,i-△Iori,i, according to Lagrange's theorem, formula (2) can be dissolved as formula (3), wherein X=
(X1,X2,...,XN)
X=((AH-1AT)-1AH-1)Tb …(3)
Referring to Fig. 3, it is the flow chart of the image processing method of the embodiment of the present invention, specifically：
(a) for the RGB image of an input, YUV color spaces are converted it to first, also i.e. by input picture from base
Color color space conversion is showed the score from color space to color, for example, obtain Y, U, V component；Then Y-component in each segmentation is counted
The statistics with histogram value of (namely luminance component)；Then the X of each segmentation is solved according to formula (3)i(namely each segmentation
The contrast difference of image and original image after interior processing).
(b) being described as follows for formula (3), for convenience of explanation, it is assumed herein that segments N=5：
(b1) matrix b calculating：B is the matrix of N × 1, is 5 × 1 matrixes as N=5, namely matrixWhereinAnd represent the luminance level that the brightness regulation factor, i.e. target reach；
(b2) calculating of matrix A：A is a N × (2N-1) matrix；A1i=1, i ∈ [1, N] and Aj,N+j-1=1,
Aj,1…j=-1, j ∈ [2, N].As N=5, matrix A is：
(b3) calculating of matrix H：H is one (2N-1) × (2N-1) diagonal matrix, and as N=5, matrix H is：
(b4) X=(X can be obtained by combining amount above using formula (3)1,X2,...,XN)。
(c) the segmented node new_segment of the luminance component of image after processing is sought：
According to the X and X calculatedi=△ Idis,i-△Iori,i, obtain △ Idis,i=Xi+△Iori,i；Then new_
Segment=[0, △dis,1,△dis,1+△dis,2,△dis,1+△dis,2+△dis,3,△dis,1+△dis,2+△dis,3+△dis,4,
△dis,1+△dis,2+△dis,3+△dis,4+△dis,5], the segmented node old_segment of the luminance component of corresponding original image
=[0,51,102,153,204,255].
(d) mapping curve NewCurve is sought：
As shown in Figure 2, mapping curve NewCurve is also made up of N number of segmentation, and the mapping for first calculating each segmentation is bent
Line, then constitutes final result.The calculation of the mapping curve of i-th of segmentation is as follows：
It is distributed in luminance component scope gray ∈ [old_segment (i), the old_ of the original image of i-th of segmentation
Segment (i+1)], to each luminance component gray for being distributed in i-th of segmentation, (4) calculate its mapping as follows
Luminance component newGray：
Finally the mapping curve by each segmentation combines as required mapping curve NewCurve.
(e) Y-component (luminance component of the original image in yuv space) is calculated according to mapping curve NewCurve and maps bright
Spend component Ydest：
To the luminance component Y after the mapping of position (i, j) place pixel of original imagedestValue be Ydest(i, j)=
NewCurve(Y(i,j))。
(f) by the light tone degrees of data (Y of each pixel of YUV color spacesdest, U, V) it is transformed into RGB color and produces
Image after to processing, herein it can be found that being only adjusted in the image processing process of this implementation to luminance component, and keeps color
Spend component constant.
Hold above-mentioned, image is exportable after processing is shown on target display screen such as LED display, and foregoing θ values are one
Adjustable value, Fig. 3 C are after being handled using the image processing method of present invention original image shown in Fig. 3 A
Design sketch, wherein θ=0.5,And foregoing image processing process can be in host computer execution or display system
Computing device.In addition, Fig. 3 B are the design sketch after being handled using prior art original image shown in Fig. 3 A, by scheming
3A-3C contrasts can see, and image detail keeps preferable while the brightness of image after processing of the embodiment of the present invention gets a promotion,
And image crosses the border seriously after prior art processing.Finally, it is worth mentioning at this point that, foregoing RGB color is only that primary colours color is empty
Between citing, YUV color spaces are only that color is showed the score from the citing of color space, and it can also be that existing other primary colours colors are empty
Between and color show the score from color space such as YCbCr.
In summary, the image processing method of the embodiment of the present invention can to the greatest extent may be used while image display brightness is lifted
Energy ground retains the contrast information of image and the detailed information of image, solves display industry such as LED display lines and is carrying in the industry
The problem of image information loses serious when rising display brightness.In addition, it is noted that brightness of the previous embodiment to original image
Grade such as 0-255 is divided equally, and is actually not limited to divide equally here, can also select not divide equally.Furthermore, if only
In requiring to simplify calculating, it would however also be possible to employ formula (1) carries out image procossing by brightness degree and is not limited to foregoing brightness degree
Segment processing mode.
The above described is only a preferred embodiment of the present invention, any formal limitation not is made to the present invention, though
So the present invention is disclosed above with preferred embodiment, but is not limited to the present invention, any to be familiar with this professional technology people
Member, without departing from the scope of the present invention, when the technology contents using the disclosure above make a little change or modification
For the equivalent embodiment of equivalent variations, as long as being the technical spirit pair according to the present invention without departing from technical solution of the present invention content
Any simple modification, equivalent variations and modification that above example is made, in the range of still falling within technical solution of the present invention.
Claims (7)
1. a kind of image processing method, it is characterised in that including step：
(i) input picture is obtained；
(ii) pixel data of the input picture is showed the score from color space to be turned from primary colours color space conversion to color
Change rear input picture；
(iii) formula is utilizedSolve
The contrast difference of image and input picture after conversion after processing when Q values are minimum, wherein θ be for adjust picture contrast and
The factor and θ of brightness of image compensation<1, △ Idis,iThe contrast of i-th of segmentation of image, △ I after expression processingori,iRepresent to turn
Change the contrast of i-th of segmentation of rear input picture, PiRepresent all brightness point of the input picture in i-th of segmentation after conversion
The histogram probable value of amount, the segmentation number of the luminance component scope of input picture after N changes for expression, so thatImage and the contrast difference weighting of N number of segmentation of input picture after conversion after expression processing
With Histdis,iThe statistics with histogram value of all luminance components of the image in i-th of segmentation after expression processing；Histori,iTable
Show the statistics with histogram value of all luminance components of the input picture in i-th of segmentation after conversion；
(iv) image and input picture after the contrast difference of input picture after conversion and conversion after the processing obtained based on solution
Each segmentation in contrast, calculate processing after image each segmentation in contrast with image after being handled
Luminance component segmented node；
(v) the luminance component segmented node of input picture, meter after the luminance component segmented node and conversion based on image after processing
The mapping value of each luminance component of the input picture in each segmentation after conversion is calculated, it is bent to obtain luminance component mapping
Line；
(vi) the luminance component mapping curve is based on, the luminance component of each pixel of input picture reflects after calculating conversion
Penetrate value；
(vii) mapping value of the luminance component of each pixel of input picture after conversion and chromatic component value are transformed into described
Primary colours color space, to obtain image after the processing；And
(viii) image to target display screen after the processing is exported to be shown.
2. image processing method as claimed in claim 1, it is characterised in that the primary colours color space is RGB color,
It is YUV color spaces or YCbCr color spaces that the color, which is showed the score from color space,.
3. image processing method as claimed in claim 1, it is characterised in that N number of segmentation in step (iii) is by turning
The luminance component scope for changing rear input picture is divided equally.
4. image processing method as claimed in claim 1, it is characterised in that step (v) includes：
The mapping value of each luminance component of the input picture in each segmentation after conversion is calculated according to below equation：
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Wherein gray represents luminance component of the input picture in i-th of segmentation after conversion, and newGray (gray) is represented after conversion
Luminance component gray of the input picture in i-th of segmentation mapping value, gray ∈ [old_segment (i), old_segment
(i+1)], old_segment (i) and old_segment (i+1) is two segmentations of i-th of segmentation of input picture after changing
Node, newGray (gray) ∈ [new_segment (i), new_segment (i+1)], new_segment (i) and new_
Segment (i+1) is two segmented nodes of i-th of segmentation of image after handling,And represent the brightness regulation factor.
5. a kind of image processing method, it is characterised in that including step：
Receive input picture；
The pixel data of the input picture is showed the score from primary colours color space conversion to color from color space to obtain after conversion
Input picture；
Luminance component progress to input picture after conversion is sectional-regulated and keeps the chromatic component of input picture after conversion constant；
The regulated value of the luminance component of each pixel of input picture after conversion and chromatic component value are transformed into the primary colours
Color space, to obtain image after the processing；And
Image to target display screen after the processing is exported to be shown.
6. image processing method as claimed in claim 5, it is characterised in that the primary colours color space is RGB color,
It is YUV color spaces or YCbCr color spaces that the color, which is showed the score from color space,.
7. image processing method as claimed in claim 5, it is characterised in that image and the input picture after the processing
Pixel data make it that the Q values in below equation are minimum：
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</mrow>
<mn>2</mn>
</msup>
<mo>+</mo>
<mrow>
<mo>(</mo>
<mrow>
<mn>1</mn>
<mo>-</mo>
<mi>&theta;</mi>
</mrow>
<mo>)</mo>
</mrow>
<munderover>
<mi>&Sigma;</mi>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>T</mi>
<mi>o</mi>
<mi>t</mi>
<mi>a</mi>
<mi>l</mi>
<mi>G</mi>
<mi>r</mi>
<mi>a</mi>
<mi>y</mi>
<mi>N</mi>
<mi>u</mi>
<mi>m</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</munderover>
<msup>
<mrow>
<mo>(</mo>
<mrow>
<msub>
<mi>Hist</mi>
<mrow>
<mi>d</mi>
<mi>i</mi>
<mi>s</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
<mo>-</mo>
<msub>
<mi>Hist</mi>
<mrow>
<mi>o</mi>
<mi>r</mi>
<mi>i</mi>
</mrow>
</msub>
<mrow>
<mo>(</mo>
<mi>k</mi>
<mo>)</mo>
</mrow>
</mrow>
<mo>)</mo>
</mrow>
<mn>2</mn>
</msup>
</mrow>
Wherein, △ IdisThe contrast of position (i, j) place pixel of image, △ I after (i, j) expression processingori(i, j) represents input
The contrast of position (i, j) place pixel of image, the method for solving of image pixel contrast is：Present intensity value and most adjacent with it
The difference of near and smaller brightness value；Histdis(k) the statistics with histogram value of the gray value k after expression processing in image,
Histori(k) the statistics with histogram value of the gray value k in input picture is represented；TotalGrayNum represents the gray scale of input picture
Number, if the digit of input picture is BitNum, then TotalGrayNum=power (2, BitNum)=2BitNum；θ is for adjusting
The factor and θ of whole picture contrast and brightness of image compensation<1, M, N represent the width and height of input picture.
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