CN105895036B - Contrast intensification's method and its contrast intensification's device - Google Patents
Contrast intensification's method and its contrast intensification's device Download PDFInfo
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Abstract
The invention discloses a kind of contrast intensification's method and its contrast intensification's devices.Contrast intensification's method includes receiving the image with multiple pixels;The average value of the multiple pixel brightness value is counted as an overall brightness average value;According to the overall brightness average value, a gain curve is generated;Count the pixel quantity that the multiple pixel corresponds respectively to multiple brightness values;According to the pixel quantity for corresponding to the multiple brightness value in the multiple pixel, the gain curve is adjusted;And the gain curve is utilized, the brightness value of each pixel is adjusted, to generate an overall reinforcing image.
Description
Technical field
The present invention relates to a kind of contrast intensification's method for the electronic product with display panel and its contrast intensification's dresses
It sets more particularly to a kind of contrast intensification's method of effective contrast ratio of the electronic product that can promote with display panel and its comparison
Intensifying device.
Background technology
Liquid crystal display (Liquid Crystal Display, LCD) has that external form is frivolous, Low emissivity, small and low
The advantages that energy consumption, is widely used on the information products such as notebook computer or flat-surface television.Therefore, liquid crystal display by
Traditional cathode-ray tube display (Cathode Ray Tube Display) is gradually replaced to become the market mainstream, wherein again with master
Dynamic matrix form Thin Film Transistor-LCD (Active Matrix TFT LCD) is most popular.In simple terms, active-matrix
The drive system of formula Thin Film Transistor-LCD is by time schedule controller (Timing Controller), source drive
Device (Source Driver) and gate drivers (Gate Driver) are constituted.Source electrode driver and gate drivers difference
Data line (Data Line) and scan line (Scan Line) are controlled, intersects to form circuit unit matrix on panel,
And each circuit unit (Cell) includes liquid crystal molecule and transistor.The displaying principle of liquid crystal display is that gate drivers first will
Scanning signal is sent to the grid of transistor, and transistor turns are made, and the data that then source electrode driver sends sequence controller turn
After changing output voltage into, output voltage is sent to the source electrode of transistor, the voltage of liquid crystal one end can be equal to transistor drain at this time
Voltage, and change according to drain voltage the angle of inclination of liquid crystal molecule, and then change light transmittance and reach display different colours
Purpose.
When liquid crystal display shows image, if the environmental light brightness of liquid crystal display local environment is excessive, may make
It can not understand recognisable image content at user.The prior art provides an effective contrast ratio (Effective Contrast
Ratio, ECR), for weighing the liquid crystal display finger of user for picture material identification capability under varying environment brightness
Mark, is defined as follows:-
Wherein, transmitting brightness is the light intensity that liquid crystal display itself generates, and reflectance lightness is liquid crystal display
Brightness caused by device reflection environment light.
In general, when effective contrast ratio is more than 10, liquid crystal display, user are watched under daylight even with person
It can still understand the picture material on identification liquid crystal display;When effective contrast ratio between 5~9 when, user's recognisable image content
Ability decline, but user in the sunlight watch liquid crystal display shown by image when still have considerable degree of identification energy
Power;When effective contrast ratio drops to 3~4, user is just difficult to recognize in the sunlight in the image shown by liquid crystal display
Hold;And when effective contrast ratio drops to 1~2, user can not be recognized in the sunlight in the image shown by liquid crystal display
Hold.It can be seen from the above, effective contrast ratio of liquid crystal display is bigger, user is in the sunlight for shown by liquid crystal display
The identification capability of picture material is higher.In order to increase effective contrast ratio of liquid crystal display to promote user's experience, existing solution
Certainly one of method is to improve the backlight illumination of liquid crystal display.However, liquid will be caused by improving the backlight illumination of liquid crystal display
The power consumption of crystal display is substantially increased.Therefore, how not substantially influence liquid crystal display efficiency in the case of promote liquid
Effective contrast ratio of crystal display becomes and wants the subject under discussion inquired into for industry.
Invention content
In order to solve the problem above-mentioned, it is strong that the present invention provides a kind of comparison for the effective contrast ratio that can promote display device
Change method and its contrast intensification's device.
The present invention discloses a kind of contrast intensification's method, is used for a display device, and contrast intensification's method includes receiving to have
There is an image of multiple pixels;The average value of the multiple pixel brightness value is counted as an overall brightness average value;According to institute
Overall brightness average value is stated, a gain curve is generated;Count the pixel number that the multiple pixel corresponds respectively to multiple brightness values
Amount;According to the pixel quantity for corresponding to the multiple brightness value in the multiple pixel, the gain curve is adjusted;And according to
The gain curve adjusts the brightness value of each pixel, to generate an overall reinforcing image.
Invention additionally discloses a kind of contrast intensification's devices, including an average brightness arithmetic element, for counting in an image
The average value of the brightness value of multiple pixels is as an overall brightness average value;One gray-scale distribution counting unit, it is described for counting
Multiple pixels correspond respectively to the pixel quantity of multiple brightness values;One gain curve generation module, including a tint ramp generate
Unit is used for, according to the overall brightness average value, generating a gain curve;And an adaptive adjustment unit, it is used for basis
The pixel quantity for corresponding to the multiple brightness value in the multiple pixel, adjusts the gain curve;And an interpolation unit,
For according to the gain curve, adjusting the brightness value of each pixel, to generate an overall reinforcing image.
Description of the drawings
Fig. 1 is the schematic diagram that the embodiment of the present invention one compares intensifying device.
The schematic diagram of Fig. 2 relativeness between one brightness of the embodiment of the present invention and yield value.
Another schematic diagram of Fig. 3 relativeness between brightness of the embodiment of the present invention and yield value.
Fig. 4 is the schematic diagram of one brightness value distributed number of the embodiment of the present invention.
Fig. 5 is schematic diagram of the another pair of the embodiment of the present invention than intensifying device.
Fig. 6 is the schematic diagram of one pixel region of the embodiment of the present invention.
Fig. 7 is the flow chart of one flow of the embodiment of the present invention.
Fig. 8 is the flow chart of another flow of the embodiment of the present invention.
Wherein, the reference numerals are as follows:
10,50 contrast intensification's device
100,500 average brightness arithmetic element
102,502 gray-scale distribution counting unit
104,504 gain curve generation module
106,506 interpolation unit
108,508 tint ramps generate unit
110,510 adaptive adjustment unit
512 local contrasts strengthen unit
514 addition units
60 pixel regions
70,80 flow
700~714,800~822 steps
GAVG overall brightness average values
GC gain curves
GC_UB, GC_UB1 gain curve upper bound
GC_LB, GC_LB1 gain curve lower bound
C_R, C_R1 reference line
IMG images
IMG_GE totally strengthens image
IMG_LE local strengthening images
IMG_F final output images
P1~Pn, P, Pa~Ph pixels
Y1~Yn brightness values
Specific implementation mode
Referring to FIG. 1, Fig. 1 is the schematic diagram that the embodiment of the present invention one compares stiffening device 10.Comparing stiffening device 10 can
It is regarded for such as liquid crystal display, intelligent mobile phone, intelligent electric, the electronic product with liquid crystal display panel such as tablet computer.
As shown in Figure 1, comparison stiffening device 10 includes average brightness arithmetic element 100, gray-scale distribution counting unit 102, gain song
Line generation module 104 and interpolation unit 106.Stiffening device 10 is compared in an image IMG of the reception with multiple pixel P1~Pn
Afterwards, using average brightness arithmetic element 100 and gray-scale distribution counting unit 102 calculate separately the brightness value Y1 of pixel P1~Pn~
The average value of Yn is as an overall brightness average value GAVG and statistics brightness value Y1~Yn distribution situations.It is average according to overall brightness
Value GAVG and brightness value Y1~Yn distribution situations, gain curve generation module 104 can generate a gain curve GC.Obtaining gain
After curve GC, interpolation unit 106 can adjust separately brightness value Y1~Yn according to gain curve GC, to generate overall reinforcing image
IMG_GE.The overall image IMG_GE that strengthens includes image detail and overall strengthening the averagely bright of image IMG_GE in image IMG
Average brightness of the degree higher than image IMG.Therefore, if electronic product is changed to show overall reinforcing image IMG_GE, electronic product
Effective contrast ratio (Effective Contrast Ratio), which can get, effectively to be promoted.
Specifically, average brightness arithmetic element 100 is used for calculating the average value of brightness value Y1~Yn as overall brightness
Average value GAVG, and gray-scale distribution counting unit 102 is used for counting the distribution of brightness value Y1~Yn.According to overall brightness average value
GAVG, a tint ramp, which generates unit 108, in gain curve generation module 104 can generate a gain curve upper bound GC_UB.When bright
When angle value is less than overall brightness average value GAVG, the gain of gain curve upper bound GC_UB is more than 1;And when brightness value is more than totally
When average brightness GAVG, the gain of gain curve upper bound GC_UB is equal to 1.That is, the mesh of gain curve upper bound GC_UB
Be promoted less than overall brightness average value GAVG brightness value.In one embodiment, define gain curve upper bound GC_UB's
Formula can be:
Wherein, x is brightness value, and c is a constant for being less than overall brightness average value GAVG, and constant c can be set according to difference
Meter theory and change and change.
According to formula (1), tint ramp, which generates unit 108, can generate gain curve upper bound GC_UB as shown in Fig. 2.
Next, an adaptive adjustment unit 110 can be united according to gray-scale distribution counting unit 102 in gain curve generation module 104
The distributed number of brightness value Y1~Yn of meter, adjust gain curve upper bound GC_UB, to generate gain curve GC.For example, increase
Beneficial curve generation module 104 is between reference line C _ R of 1 (i.e. gain is 1) according to gain curve upper bound GC_UB and slope first
Difference defines a gain curve lower bound GC_LB.In this embodiment, gain curve lower bound GC_LB is defined as:
GC_LB (x)=(GC_UB (x)-x) * reg_hist_lb+x (2)
Wherein, x is brightness value, and reg_hist_lb is a constant between 0 and 1.In this embodiment, reg_
Hist_lb is set as 1/4, and without being limited thereto.
According to formula (2), adaptive adjustment unit 110 can obtain gain curve lower bound GC_LB as shown in Fig. 2.It connects
Get off, adaptive adjustment unit 110 can basis and gain curve upper bound GC_UB, gain curve lower bound GC_LB and a weight
Coeff generates gain curve GC.In this embodiment, weight coeff and gain curve GC are defined as:
GC (x)=coeff*GC_UB (x)+(1-coeff) * GC_LB (x) (4)
Wherein, x is brightness value, and C1, C2 are the constant between 0 and 1 and C2 is more than C1, and N (x) is that brightness value is x's
Pixel quantity, and TH1, TH2 are then the product in image IMG between the quantity n and two ratios of pixel, and TH2 is more than TH1.Citing
For, C1 and C2 may respectively be 1/8,1, and TH1 and TH2 then may respectively be n/8 and n/2, and without being limited thereto.In addition, weight
The maximum value of coeff is C2.By formula (3), (4) it is found that when corresponding to more (such as N (x) of pixel quantity of a brightness value>TH2)
When, the yield value that this brightness value is corresponded in the GC_UB of the gain curve upper bound remains unchanged;When in multiple pixels correspond to a brightness
Pixel quantity few (such as TH1≤N (x)≤TH2 or the N (x) of value<It is identical to correspond to this when TH1), in the GC_UB of the gain curve upper bound
The yield value of brightness value, which can be then lowered, (such as to be dropped between gain curve lower bound GC_UB and gain curve lower bound GC_LB or drops
Down to gain curve lower bound GC_LB.According to formula (3), (4), adaptive adjustment unit 110 can be according to the number of brightness value Y1~Yn
Amount distribution, adjust gain curve upper bound GC_UB, to obtain gain curve GC.Then, interpolation unit 106 can be according to gain song
Line GC adjusts separately brightness value Y1~Yn of pixel P1~Pn in image IMG, to generate overall reinforcing image IMG_GE.Interpolation list
Member 106 should be according to the method for gain curve GC adjustment brightness values Y1~Yn known to those skilled in the art, for the sake of clarity,
This will not be repeated here.The overall image detail strengthened image IMG_GE and remain with image IMG, and overall reinforcing image IMG_GE's is flat
Equal brightness is higher than the average brightness of image IMG.When electronic product is changed to show overall reinforcing image IMG_GE, electronic product
Effective contrast ratio, which can get, effectively to be promoted.
In order to reduce the computing load of adaptive adjustment unit 110, adaptive adjustment unit 110 can be changed to according to multiple bright
Number of pixels within the scope of angle value carrys out the central brightness value of multiple range of luminance values described in adjust gain curve upper bound GC_UB
Yield value.For example, gain curve generation module 104 can be located at 32~95 pixel quantity according to brightness value, increase to adjust
Correspond to brightness value in beneficial curve upper bound GC_UBYield value.It is noted that when adaptive
When adjustment unit 110 is changed to according to the number of pixels in multiple range of luminance values come adjust gain curve upper bound GC_UB, C1, C2,
TH1 and TH2 need to suitably be changed according to the size of range of luminance values.
About gain curve generation module 104 according to the number of pixels in multiple range of luminance values come on adjust gain curve
The operation of boundary GC_UB is illustrated below.It please refers to Fig.3 and Fig. 4, Fig. 3 is brightness value and gain in the embodiment of the present invention
The schematic diagram of relativeness between value, Fig. 4 are the schematic diagram of brightness value Y1~Yn distributed numbers in the embodiment of the present invention.Tint ramp
It generates unit and the gain curve upper bound is generated according to the overall brightness average value GAVG that average brightness arithmetic element 100 generates first
GC_UB1, and using the difference between formula (2) and gain curve upper bound GC_UB1 and reference line C _ R1, obtain gain curve lower bound
GC_LB1, as shown in Fig. 3.In this embodiment, overall brightness average value GAVG is 192, and reg_hist_lb is set as 1/
2。
Next, asking collective reference Fig. 4.In this embodiment, the brightness value of multiple pixels is located at 0~255 in image IMG
Between, and gain curve generation module 104 be intended to according to multiple range of luminance values adjust brightness value 8,16,24,32,48,64,96,
128,160 yield value corresponds to the brightness of brightness value 16 wherein the brightness range corresponding to brightness value 8 is brightness value 0~15
Ranging from brightness value 8~23, the brightness range for corresponding to brightness value 24 are brightness value 16~31, remaining and so on.It should be noted
, according to different application and design concept, correspond to the brightness value model of brightness value 8,16,24,32,48,64,96,128,160
Enclosing suitably to be changed and be changed.In addition, according to the size of range of luminance values, TH1 and TH2 in formula (3) must be suitable
Ground changes.For example, when gain curve generation module 104 according to brightness value positioned at 32~95 pixel quantity come adjust gain
When corresponding to the yield value of brightness value 64 in the GC_UB1 of the curve upper bound, TH1 can be set as n/8 and TH2 can be set as n/2, and be not limited to
This.Accordingly, gain curve generation module 104 can be according to the number of pixels in multiple range of luminance values come the adjust gain curve upper bound
GC_UB1, to generate gain curve GC1.
By Fig. 3 and Fig. 4 it is found that since the pixel quantity of the brightness range corresponding to brightness value 8,16,24,32,128 is more
(such as larger than TH2), thus in gain curve GC1 corresponding to brightness value 8,16,24,32,128 yield value all on gain curve
Boundary GC_UB1 is identical.Further, since the pixel quantity of the brightness range corresponding to brightness value 48,64,96,160 is few (such as small
In TH2), therefore the yield value in gain curve GC1 corresponding to brightness value 48,64,96,160 is all lowered.Accordingly, overall strong
Image detail in image IMG can be remained with and promote average brightness simultaneously by changing image IMG_GE, so as to improve having for electronic product
Imitate contrast ratio.
In the above-described embodiments, comparison stiffening device 10 is average by the overall brightness of multiple pixels in statistical picture IMG
Value and brightness Distribution value generate gain curve GC, and according to the brightness value of multiple pixels in gain curve GC adjustment images IMG.
In this situation, the overall image IMG_GE that strengthens can remain with image detail in image IMG, and totally strengthen image IMG_GE's
Average brightness is higher than the average brightness of image IMG.The electronic product when electronic product is changed to show overall reinforcing image IMG_GE
Effective contrast ratio can effectively be promoted.According to different application and design concept, those skilled in the art can should accordingly implement to close
Suitable change and modification.
Referring to FIG. 5, Fig. 5 is the schematic diagram that the embodiment of the present invention one compares stiffening device 50.Comparing stiffening device 10 can
It is regarded for such as liquid crystal display, intelligent mobile phone, intelligent electric, the electronic product with liquid crystal display panel such as tablet computer.
Comparison stiffening device 50 includes an average brightness arithmetic element 500, a gray-scale distribution counting unit 502, gain curve production
Raw module 504, an interpolation unit 506, a local contrast strengthen unit 512 and an addition unit 514, wherein average brightness operation
(i.e. tint ramp generates unit 508 and adaptive for unit 500, gray-scale distribution counting unit 502, gain curve generation module 504
Adjustment unit 510) and interpolation unit 506 operation principles can refer to comparison stiffening device 10 average brightness arithmetic element
100, gray-scale distribution counting unit 102, gain curve generation module 104 and interpolation unit 106, for the sake of clarity, this will not be repeated here.
Compared to comparison stiffening device 10 shown in FIG. 1, comparison stiffening device 50 has increased local contrast newly and has strengthened unit 512 and addition list
Member 514.Local contrast strengthens the luminance difference that unit 512 is used for reinforcing pixel P1~Pn and its surrounding pixel in image IMG, with
Generate local strengthening image IMG_LE.Addition unit 514 is used for add up respectively overall reinforcing image IMG_GE and local strengthening figure
As the brightness value of IMG_LE pixels P1~Pn, as final output image IMG_F.
The operation principles for strengthening unit 512 about local contrast are illustrated below.Local contrast strengthens unit 512 in connecing
After receiving image IMG, multiple corresponding pixel regions can be divided according to the position of pixel P1~Pn.For example, figure is please referred to
6, Fig. 6 be the schematic diagram of a pixel region 60 in the embodiment of the present invention.As shown in fig. 6, local contrast strengthens unit 512 according to picture
Plain P divides the pixel region 60 for including pixel P and its surrounding pixel Pa~Ph.Then, local contrast is strengthened unit 512 and is counted
The local luminance average value LVAG of all pixels (i.e. pixel P, Pa~Ph) in pixel region 60, and calculate the brightness value of pixel P
With the difference DIF between local luminance average value LVAG.Finally, local contrast, which strengthens unit 512, to adjust picture according to difference DIF
The brightness value of plain P, to reinforce the luminance difference of pixel P and surrounding pixel.For example, local contrast strengthens 512 basis of unit
The formula of the brightness value of difference DIF adjustment pixels P can be defined as:
P=P+DIF*WEI (5)
Wherein WEI be one between 0~1 constant.
In addition, according to different application and design concept, the shape of pixel region and the pixel quantity for being included can accordingly more
Dynamic and modification, and it is not limited to pixel region 60 shown in fig. 6.
The stream that stiffening device 10 improves effective contrast ratio of the electronic product comprising liquid crystal display panel is compared in above-described embodiment
Journey can be concluded as a flow 70, as shown in Fig. 7.Flow 70 can be used for such as liquid crystal display, intelligent mobile phone, intelligence
Type TV, tablet computer etc. have the electronic product of liquid crystal display panel, and include following steps:
Step 700:Start.
Step 702:Receive the image with multiple pixels.
Step 704:Count an overall brightness average value of the multiple pixel.
Step 706:According to the overall brightness average value, a gain curve is generated, wherein the gain curve is used for adjusting
The whole brightness value less than overall brightness average value.
Step 708:Count the pixel quantity that multiple pixels correspond respectively to multiple brightness values.
Step 710:According to the pixel quantity for corresponding to multiple brightness values in the multiple pixel, it is bent to adjust the gain
Line.
Step 712:Using the gain curve, the brightness value of each pixel is adjusted.
Step 714:Terminate.
According to flow 70, in electronic product compare stiffening device calculate first all pixels in received image totality it is bright
Average value is spent, and a gain curve (such as gain curve upper bound GC_UB) is generated according to this overall brightness average value.In the gain
In curve, the gain for being less than the brightness value of overall brightness average value is more than 1, and the increasing of the brightness value more than overall brightness average value
Benefit is equal to 1.In other words, the gain curve is the brightness value for being less than overall brightness average value for adjusting.Next, comparison adds
Intensity device 10 counts the pixel quantity that multiple pixels correspond respectively to multiple brightness values, learns pixel brightness value in received image
Distribution situation, and adjust the gain curve accordingly.Thus, compare stiffening device 10 i.e. using gain song
Line adjusts the brightness value of all pixels in received image, to generate overall reinforcing image.Overall image of strengthening can retain institute
The image detail in image is received, and the overall average brightness for strengthening image is higher than the average brightness of received image.Work as electronics
When product is changed to show overall reinforcing image, effective contrast ratio of electronic product, which can get, effectively to be promoted.
The stream that stiffening device 50 improves effective contrast ratio of the electronic product comprising liquid crystal display panel is compared in above-described embodiment
Journey can be concluded as a flow 80, as shown in Fig. 8.Flow 80 can be used for such as liquid crystal display, intelligent mobile phone, intelligence
Type TV, tablet computer etc. have the electronic product of liquid crystal display panel, and include following steps:
Step 800:Start.
Step 802:Receive the image with multiple pixels.
Step 804:Count an overall brightness average value of the multiple pixel.
Step 806:According to the overall brightness average value, a gain curve is generated, wherein the gain curve is used for adjusting
The whole brightness value less than overall brightness average value.
Step 808:Count the pixel quantity that multiple pixels correspond respectively to multiple brightness values.
Step 810:According to the pixel quantity for corresponding to multiple brightness values in the multiple pixel, it is bent to adjust the gain
Line.
Step 812:Using the gain curve, the brightness value of each pixel is adjusted, to generate an overall reinforcing image.
Step 814:Divide multiple pixel regions corresponding to the multiple pixel.
Step 816:Count multiple local luminance average values of the multiple pixel region.
Step 818:According between the brightness value of each pixel and the local luminance average value of corresponding pixel region
Difference, the brightness value of each pixel is adjusted, to generate a local strengthening image.
Step 820:Add up the overall brightness for strengthening image and corresponding pixel in the local strengthening image respectively
Value.
Step 820:Terminate.
In flow 80, the detailed operation of step 802~step 812 can refer to step 702~712 of flow 70,
For the sake of clarity, this will not be repeated here.Compared to flow 70, flow 80 separately indicates that the division of contrast intensification's device corresponds in electronic product
Multiple pixel regions of multiple pixels in received image, and the part for counting all pixels brightness value in each pixel region is bright
Spend average value.Next, according to the difference between the brightness value of each pixel and the local luminance average value of corresponding pixel region
Different, contrast intensification's device adjusts the brightness value of each pixel, to strengthen the luminance difference between each pixel and its surrounding pixel simultaneously
Generate local strengthening image.Then, contrast intensification's device adds up respectively described overall strengthens image and the local strengthening image
In corresponding pixel brightness value, to obtain final output image.Thus, which electronics can be further improved by comparing stiffening device
Effective contrast ratio of product.
Contrast intensification's device of above-described embodiment is average by the overall brightness of multiple pixels in the received image of statistics
Value and brightness Distribution value generate gain curve, and adjust the brightness value of multiple pixels in received image according to gain curve.
In this situation, the image shown by electronic product can retain to be received image detail in image and can get and retain and be promoted flat
Equal brightness, so as to improve effective contrast ratio of electronic product.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, any made by repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (6)
1. a kind of contrast intensification's method, is used for a display device, contrast intensification's method includes:
Receive the image with multiple pixels;
The average value of the multiple pixel brightness value is counted as an overall brightness average value;
According to the overall brightness average value, a gain curve is generated;
Count the pixel quantity that the multiple pixel corresponds respectively to multiple brightness values;
According to the pixel quantity for corresponding to the multiple brightness value in the multiple pixel, the gain curve is adjusted;And
According to the gain curve, the brightness value of each pixel is adjusted, to generate an overall reinforcing image.
2. contrast intensification's method as described in claim 1, it is characterised in that:The gain curve is used for adjusting the multiple bright
It is less than the brightness value of the overall brightness average value in angle value.
3. contrast intensification's method as described in claim 1, it is characterised in that include separately:
Divide multiple pixel regions corresponding to the multiple pixel;
Count multiple local luminance average values of the multiple pixel region;
According to the difference between the brightness value of each pixel and the local luminance average value of corresponding pixel region, adjustment is every
The brightness value of one pixel, to generate a local strengthening image;And
Add up the overall brightness value for strengthening image and corresponding pixel in the local strengthening image respectively, to generate one most
Output image eventually.
4. contrast intensification's method as claimed in claim 3, it is characterised in that:According to the brightness value of each pixel with it is corresponding
Difference between the local luminance average value of pixel region, adjusts the brightness value of each pixel, to generate the local strengthening
The step of image includes:
According to the difference between the brightness value of each pixel and the local luminance average value of corresponding pixel region, institute is adjusted
The brightness value for stating each pixel, to increase between each pixel and the local luminance average value of corresponding pixel region
Difference.
5. contrast intensification's method as described in claim 1, it is characterised in that:It is described more according to corresponding in the multiple pixel
The pixel quantity of a brightness value, the step of adjusting the gain curve include:
According to the pixel quantity in multiple range of luminance values and the ratio between the quantity of the multiple pixel, it is bent to adjust the gain
Line.
6. a kind of contrast intensification's device, including:
One average brightness arithmetic element, for counting the average value of the brightness value of multiple pixels in an image as an overall brightness
Average value;
One gray-scale distribution counting unit, for counting the pixel quantity that the multiple pixel corresponds respectively to multiple brightness values;
One gain curve generation module, including:
One tint ramp generates unit, is used for, according to the overall brightness average value, generating a gain curve;And
One adaptive adjustment unit is used for, according to the pixel quantity for corresponding to the multiple brightness value in the multiple pixel, adjusting
The whole gain curve;And
One interpolation unit is used for, according to the gain curve, adjusting the brightness value of each pixel, is schemed with generating overall strengthen
Picture.
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