CN107680050A - A kind of color rendition method for AMOLED drivings - Google Patents
A kind of color rendition method for AMOLED drivings Download PDFInfo
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- CN107680050A CN107680050A CN201710827747.8A CN201710827747A CN107680050A CN 107680050 A CN107680050 A CN 107680050A CN 201710827747 A CN201710827747 A CN 201710827747A CN 107680050 A CN107680050 A CN 107680050A
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- 229920001621 AMOLED Polymers 0.000 title claims abstract description 27
- 238000000034 method Methods 0.000 title claims abstract description 17
- 230000000694 effects Effects 0.000 abstract description 5
- 238000011156 evaluation Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000000052 comparative effect Effects 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
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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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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Abstract
The invention provides a kind of color rendition method for AMOLED drivings, for the RGB image of input, first the histogram of R passages and channel B is retracted on the basis of G passages, the calculated value for being then based on average GTG is translated to the histogram of three passages, and the result images for translating completion are exported.The present invention has excellent performance, and the Euclidean distance (ED) of result images greatly reduces than traditional algorithm, in addition, display effect of the processing gained image at screen end is good, is suitable for AMOLED display driving.
Description
Technical field
The present invention relates to a kind of color rendition method for AMOLED drivings.
Background technology
Daily, we shoot the color of image come and seem different with color seen by person sometimes, and this is due to
The influence of ambient light or capture apparatus it is insufficient and caused.For example, the image shot under partially green light, directly exists
Shown on AMOLED and partially green color just occurs, rather than the color of object in itself.AMOLED driving is that AMOLED is shown
The key of technology.Color rendition is part important in AMOLED drive modules.Object color seen by person is object
True colors, the color observed by human eye do not influenceed by ambient light, and this phenomenon is called color constancy.But
If without the processing of color rendition method, the image shown by AMOLED will be affected by ambient light.Need
Color rendition module is integrated in AMOLED drivings to reduce colour cast, recovers the real color of image.The color that this patent proposes is also
What former algorithm solved is AMOLED color rendition problem.
In order to solve the problems, such as this color rendition, many documents and patent propose related algorithm.Such as in document [1]
The gray world algorithm of use, algorithm fails when this algorithm runs into color single object.Histogram translation in document [2]
Algorithm, the display effect unobvious of picture after processing.
Document [1] R Lukac.:New framework for automatic white balancing of
digital camera images.Signal Processing.Vis.88(3),582-593(2008)
Document [2] Chengqiang Huang, Qi Zhang, Hui Wang and Songling Feng. " A Low
Power and Low Complexity Automatic White Bal-ance Algorithm for AMOLED
Driving using Histogram Matching ", Journal of Display Technology, 2013.
The content of the invention
In order to solve the above technical problems, the invention provides a kind of color rendition method for AMOLED drivings, the use
There is excellent performance in the color rendition method of AMOLED drivings, the Euclidean distance (ED) of result images is than tradition
Algorithm greatly reduce.
The present invention is achieved by the following technical programs.
A kind of color rendition method for AMOLED drivings provided by the invention, for the RGB image of input, first with G
The histogram of R passages and channel B is retracted on the basis of passage, is then based on the calculated value of average GTG to three passages
Histogram is translated, and the result images for translating completion are exported.
The histogram of R passages and channel B is retracted on the basis of the passage by G, comprised the following steps:
1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;
2. calculate indent:Calculate the indent X of R passagesR=F (GLG, GLR), calculate the indent X of channel BB=F
(GLG, GLB);
3. histogram is retracted:Histogram corresponding to histogram to GLG corresponding to GLR is retracted XR, by Nogata corresponding to GLB
Histogram corresponding to figure to GLG is retracted XB。
The calculated value based on average GTG translates to the histogram of three passages, comprises the following steps:
1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;
2. calculating difference:For GLG, GLR, GLB value, maximum GLmax, median GLmed and minimum value are found out
GLmin, calculate upper translational movement △1=G (GLmax, GLmed), the next translational movement △2=G (GLmed, GLmin);
3. histogram translates:By histogram corresponding to GLmax to left △1, histogram corresponding to GLmin is put down to the right
Move △2。
Average GTG GLG, GLR, GLB of the calculating G passages, R passages and channel B, are to after histogram is retracted
Image calculated.
Functional relation F (a, b) is F (a, b)=a/b.
Functional relation G (a, b) is G (a, b)=a-b.
The average GTG is calculated as arithmetic mean.
The average GTG is calculated as arithmetic mean.
The beneficial effects of the present invention are:With excellent performance, the Euclidean distance (ED) of result images compares
Traditional algorithm is greatly reduced, in addition, display effect of the processing gained image at screen end is good, the display for being suitable for AMOLED is driven
It is dynamic.
Embodiment
Be described further below technical scheme, but claimed scope be not limited to it is described.
The invention provides a kind of color rendition method for AMOLED drivings, for the RGB image of input, first with G
The histogram of R passages and channel B is retracted on the basis of passage, is then based on the calculated value of average GTG to three passages
Histogram is translated, and the result images for translating completion are exported.
Specifically, being retracted on the basis of the passage by G to the histogram of R passages and channel B, comprise the following steps:
1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;
2. calculate indent:Calculate the indent X of R passagesR=F (GLG, GLR), calculate the indent X of channel BB=F
(GLG, GLB);
3. histogram is retracted:Histogram corresponding to histogram to GLG corresponding to GLR is retracted XR, by Nogata corresponding to GLB
Histogram corresponding to figure to GLG is retracted XB。
The calculated value based on average GTG translates to the histogram of three passages, comprises the following steps:
1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;
2. calculating difference:For GLG, GLR, GLB value, maximum GLmax, median GLmed and minimum value are found out
GLmin, calculate upper translational movement △1=G (GLmax, GLmed), the next translational movement △2=G (GLmed, GLmin);
3. histogram translates:By histogram corresponding to GLmax to left △1, histogram corresponding to GLmin is put down to the right
Move △2。
Average GTG GLG, GLR, GLB of the calculating G passages, R passages and channel B, are to after histogram is retracted
Image calculated.
Further, one kind most preferably scheme, functional relation F (a, b) as functional relation F () is F (a, b)=a/b.
One kind most preferably scheme, functional relation G (a, b) as functional relation G () is G (a, b)=a-b.
The calculating of the average GTG is arithmetic mean.
(1) for an auxiliary input image, R, G, average GTG GLR, GLG and GLB of channel B are calculated.
(2) histogram indent is calculated:
XR=GLG/GLR
XB=GLG/GLB
(3) histogram is retracted, specifically, for the histogram corresponding to GLG, is kept constant.For straight corresponding to GLR
Square figure is retracted X to the histogram corresponding to GLGR, X is retracted for the histogram corresponding to the histogram to GLG corresponding to GLBB。
Obtain a width new images.
(4) for new images derived above, R, G, average GTG GLR, GLG and GLB of channel B are newly calculated.
(5) maximum GLmax, median GLmed and minimum value GLmin are found out.
(6) histogram translational movement is calculated:
△1=GLmax-GLmed
△2=GLmed-GLmin
(7) histogram is translated, specifically, for the histogram corresponding to GLmed, i.e., histogram placed in the middle, is kept constant.
For the histogram corresponding to GLmax, to left △1.For the histogram corresponding to GLmin, to right translation △2。
After translating histogram, just obtain finishing fruit image.
Using such as table 1 of the Comparative result after above-mentioned processing
The color rendition performance index contrast of the algorithms of different of table 1
OA:OA is an important evaluation index in color rendition algorithm, and its value is bigger, and color rendition performance is better,
In table 1, the present invention is contrasted histogram translation algorithm and traditional gray world algorithm and histogram translation algorithm, can be with
Find out, the OA indexs of histogram translation algorithm are optimal, and the present invention is higher than gray world algorithm by 4.7%.
ED:ED is Euclidean distance, is another evaluation index of color rendition algorithm, ED values are smaller, then color
Reduction effect is better, as it can be seen from table 1 the ED values lower than gray world algorithm 2.0% of the present invention, than histogram translation algorithm
Low 11.7%.
It can be seen that the present invention has excellent performance, its Euclidean distance (ED) greatly reduces than traditional algorithm,
In addition, display effect of the processing gained image at screen end is good, it is suitable for AMOLED display driving, although in terms of OA values of the present invention
It is not greatly improved on the basis of traditional algorithm, but has still been lifted compared with gray world algorithm.
Claims (8)
- A kind of 1. color rendition method for AMOLED drivings, it is characterised in that:For the RGB image of input, first with G passages On the basis of the histogram of R passages and channel B is retracted, be then based on Nogata of the calculated value to three passages of average GTG Figure is translated, and the result images for translating completion are exported.
- 2. the color rendition method for AMOLED drivings as claimed in claim 1, it is characterised in that:It is described using G passages as Benchmark is retracted to the histogram of R passages and channel B, is comprised the following steps:1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;2. calculate indent:Calculate the indent X of R passagesR=F (GLG, GLR), calculate the indent X of channel BB=F (GLG, GLB);3. histogram is retracted:Histogram corresponding to histogram to GLG corresponding to GLR is retracted XR, by histogram corresponding to GLB to Histogram corresponding to GLG is retracted XB。
- 3. the color rendition method for AMOLED drivings as claimed in claim 1, it is characterised in that:It is described to be based on average ash The calculated value of rank translates to the histogram of three passages, comprises the following steps:1. calculate average GTG:Average GTG GLG, GLR, GLB of G passages, R passages and channel B are calculated respectively;2. calculating difference:For GLG, GLR, GLB value, maximum GLmax, median GLmed and minimum value are found out GLmin, calculate upper translational movement △1=G (GLmax, GLmed), the next translational movement △2=G (GLmed, GLmin);3. histogram translates:By histogram corresponding to GLmax to left △1, by histogram corresponding to GLmin to right translation △2。
- 4. the color rendition method for AMOLED drivings as claimed in claim 3, it is characterised in that:The calculating G passages, Average GTG GLG, GLR, GLB of R passages and channel B, are that the image after histogram is retracted is calculated.
- 5. the color rendition method for AMOLED drivings as claimed in claim 2, it is characterised in that:Functional relation F (a, b) For F (a, b)=a/b.
- 6. the color rendition method for AMOLED drivings as claimed in claim 3, it is characterised in that:Functional relation G (a, b) For G (a, b)=a-b.
- 7. the color rendition method for AMOLED drivings as claimed in claim 2, it is characterised in that:The average GTG It is calculated as arithmetic mean.
- 8. the color rendition method for AMOLED drivings as claimed in claim 4, it is characterised in that:The average GTG It is calculated as arithmetic mean.
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CN108846803A (en) * | 2018-04-23 | 2018-11-20 | 遵义师范学院 | A kind of color rendition method based on yuv space |
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