CN104299600B - Image display device and image optimization method thereof - Google Patents

Image display device and image optimization method thereof Download PDF

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CN104299600B
CN104299600B CN201310303468.3A CN201310303468A CN104299600B CN 104299600 B CN104299600 B CN 104299600B CN 201310303468 A CN201310303468 A CN 201310303468A CN 104299600 B CN104299600 B CN 104299600B
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view data
image
brightness
data
weight
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CN104299600A (en
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杨智源
庄侑兴
白凤霆
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Novatek Microelectronics Corp
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Novatek Microelectronics Corp
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Abstract

A kind of image display device and image optimization method thereof.Image display device includes analysis of image content device, luminance compensation device and image optimization processor.Analysis of image content device receives view data and environmental light brightness, and produces backlight illumination adjusted value according to view data and environmental light brightness.Luminance compensation device produces image data illumination adjusted value according to backlight illumination adjusted value, and adjusts the brightness of view data to produce the first view data according to image data illumination adjusted value.Image optimization processor produces saturation according to image data illumination adjusted value and adjusts weight.Image optimization processor also adjusts the brightness of the first view data to produce output view data according to saturation adjustment weight.

Description

Image display device and image optimization method thereof
Technical field
The present invention relates to a kind of image display device, and particularly to a kind of image carrying out image optimization Display device.
Background technology
Along with becoming increasingly popular of electronic product, provide the display device of high quality to become on the electronic device and set The important topic of meter person.For coordinating the demand of electronic installation mobile, no matter user needs at any ring Under border, the electronic installation that high-quality shows can be provided.
In known technical field, display device can adjust the back of the body according to the ambient brightness of local environment Brightness produced by optical module.But, in relatively bright outdoor environment, in order to resist the reflection of high light Effect, brightness produced by backlight module is often transferred to the brightness of maximum, causes the wave of power consumption Take.Additionally, in order to efficient solution saves power consumption, it is known that the display device of technology can be by heightening display figure The mode of the brightness of picture, makes brightness produced by backlight module moderately to downgrade.
But, the simple brightness heightening display image, the quality showing image can be made to produce and such as to make an uproar Sound becomes the phenomenon of the in poor quality of big and color distortion, has influence on the visual effect that display device is presented.Cause How this, take into account display quality and power consumption, the problem paid attention to by this area designer.
Summary of the invention
The present invention provides a kind of image display device, the view data after brightness adjustment can be carried out image excellent Change action, uses lifting display quality.
The present invention also provides for a kind of image optimization method being applicable to image display device, can be to brightness adjustment After view data carry out image optimization action, use lifting display quality.
The image display device of the present invention includes analysis of image content device, luminance compensation device and image optimization Processor.Analysis of image content device receives view data and environmental light brightness, and according to view data with And environmental light brightness produces backlight illumination adjusted value.Luminance compensation device couples analysis of image content device, and depends on Image data illumination adjusted value is produced according to backlight illumination adjusted value, and according to image data illumination adjusted value Adjust the brightness of view data to produce the first view data.Image optimization processor couples luminance compensation Device, produces saturation according to image data illumination adjusted value and adjusts weight.Image optimization processor also depends on Adjust weight according to saturation and adjust the brightness of the first view data to produce output view data.
In one embodiment of this invention, above-mentioned image optimization processor also calculate output view data with Brightness amplification between the first view data, and calculate the details degree of variation of output view data.Image optimization Processor and foundation brightness amplification and details degree of variation adjust output view data with defeated after producing adjustment Go out view data.
In one embodiment of this invention, above-mentioned image optimization processor calculates output view data and the The luminance difference of one view data obtains brightness amplification.
In one embodiment of this invention, above-mentioned output view data includes multiple pixel data.Image Optimized processor calculates the brightness value of each pixel data multiple neighborhood pixels data neighbouring with each pixel data Difference obtain details degree of variation.
In one embodiment of this invention, above-mentioned image optimization processor is according to brightness amplification and brightness Amplification weighting function obtains brightness correction weighted value.Image optimization processor and according to details degree of variation with And details variation weighting function obtains details variation and revises weighted value.
In one embodiment of this invention, above-mentioned image optimization processor according to brightness correction weighted value with And details variation revise weighted value and obtain details correction weight.Image optimization processor foundation are thin Joint is revised weight and is adjusted output view data to export view data after producing adjustment.
In one embodiment of this invention, above-mentioned image optimization processor adjusts weight letter according to saturation Number and image data illumination adjusted value produce saturation and adjust weight.Wherein, saturation adjust weight with Image data illumination adjusted value is inversely proportional to.
The kind image optimization method of the present invention is applicable to image display device.Step therein includes: receive View data and environmental light brightness, and produce backlight illumination tune according to view data and environmental light brightness Whole value;Image data illumination adjusted value is produced again according to backlight illumination adjusted value, and according to view data Brightness adjustment value adjusts the brightness of view data to produce the first view data;Further, according to picture number Produce saturation according to brightness adjustment value and adjust weight, and adjust the first figure according to saturation adjustment weight As the brightness of data is to produce output view data.
Based on above-mentioned, the image display device of the present invention is further directed to adjust according to the adjustment of backlight illumination The brightness of whole view data, and increase the adjustment action that the view data after adjusting is carried out saturation, to enter One-step optimization image to display, promotes the display usefulness of image display device.
For the features described above of the present invention and advantage can be become apparent, special embodiment below, and coordinate Accompanying drawing is described in detail below.
Accompanying drawing explanation
Fig. 1 illustrates the schematic diagram of the image display device 100 of one embodiment of the invention.
Fig. 2 illustrates the curve chart of the saturation adjustment weighting function of the embodiment of the present invention.
Fig. 3 illustrates the schematic diagram of the brightness amplification weighting function of the embodiment of the present invention.
Fig. 4 then illustrates the schematic diagram of the details variation weighting function of the embodiment of the present invention.
Fig. 5 illustrates the flow chart of the image optimization method of the embodiment of the present invention.
[symbol description]
100: image display device
110: analysis of image content device
120: luminance compensation device
130: image optimization processor
ENL: environmental light brightness
BLT: backlight illumination adjusted value
IMG1: the first view data
IMGD: view data
IMGO: output view data
DY: brightness adjustment value
210~230,310,410: curve
S510~S530: image optimization step
Detailed description of the invention
Refer to the schematic diagram that Fig. 1, Fig. 1 illustrate the image display device 100 of one embodiment of the invention. Image display device 100 includes analysis of image content device 110, luminance compensation device 120 and image optimization Processor 130.Analysis of image content device 110 receives view data IMGD and environmental light brightness ENL. Analysis of image content device 110 produces backlight illumination according to view data IMGD and environmental light brightness ENL Adjusted value BLT.
Backlight illumination adjusted value BLT is transferred into the luminance compensation coupled with analysis of image content device 110 phase Device 120.Luminance compensation device 120 produces image data illumination according to backlight illumination adjusted value BLT and adjusts Value and image data illumination adjust ratio.Luminance compensation device 120 foundation image data illumination adjusted value And image data illumination adjusts ratio and adjusts the brightness of view data IMGD to produce the first picture number According to IMG1.The brightest, with view data IMGD include the first coloured light view data RIN, As a example by dichroscope view data GIN and tertiary color light image data BIN, luminance compensation device 120 also depends on Produce image data illumination adjusted value dY according to backlight illumination adjusted value BLT and image data illumination is adjusted Whole ratio RATIO, and generation includes the first coloured light view data RIN1, the second coloured light view data according to this GIN1 and the first view data IMG1 of tertiary color light image data BIN1.Wherein, the first coloured light View data RIN1, the second coloured light view data GIN1 and the meter of tertiary color light image data BIN1 Shown in calculation mode such as following formula (1):
RIN1=RATIO × RIN+dY
GIN1=RATIO × GIN+dY
BIN1=RATIO × BIN+dY (1)
As a example by backlight illumination adjusted value BLT is used for turning down the backlight illumination of image display device 100, figure It is more than the value of 1 and in order to heighten view data as data luminance adjustment ratio RATIO can be one The brightness of IMGD is to produce the first view data IMG1.Image data illumination adjusted value dY then can use Decide whether to adjust the saturation of view data IMGD.Wherein, as image data illumination adjusted value dY During more than 0, represent that the saturation of view data IMGD can be turned down;When image data illumination adjusted value When dY is less than 0, represent that the saturation of view data IMGD can be raised;And when image data illumination is adjusted When whole value dY is equal to 0, represent that the saturation of view data IMGD will not be adjusted.
Image optimization processor 130 couples luminance compensation device 120.Image optimization processor 130 is according to figure Weight W_sat is adjusted as data luminance adjusted value dY produces saturation.Image optimization processor 130 is also According to the saturation that calculated adjust weight W_sat adjust the brightness of the first view data IMG1 with Produce output view data IMGO.Wherein, saturation can be calculated acquisition by following formula (2):
The computing of the maximum of numerical value during wherein Max represents the bracket taking its correspondence, Min takes its correspondence The computing of the minima of numerical value in bracket.
Below referring to Fig. 1 and Fig. 2, wherein, Fig. 2 illustrates the saturation of the embodiment of the present invention Adjust the curve chart of weighting function.Above-mentioned saturation adjusts weight W_sat can be by satisfying that Fig. 2 illustrates Adjust weighting function with degree to obtain.In fig. 2, curve 210 represents that data luminance adjusted value dY is big Brightness of image in 0 time adjusts the relation curve of weight W_sat with saturation;Curve 220 represents data Brightness of image when brightness adjustment value dY is equal to 0 adjusts the relation curve of weight W_sat with saturation; Brightness of image when curve 230 then represents data luminance adjusted value dY less than 0 adjusts power with saturation The relation curve of weight W_sat.Curve 210~230 all can adjust weight along with brightness of image toward saturation The W_sat position convergence equal to 1.It is to say, when saturation adjusts weight W_sat more than 1, The saturation of view data IMGD can be strengthened, when saturation adjusts weight W_sat equal to 1, image The saturation of data IMGD keeps constant;When saturation adjusts weight W_sat less than 1, can reduce The saturation of view data IMGD.Saturation adjusts weight W_sat and adjusts with the brightness of view data IMGD Whole value is inversely proportional to.
Image optimization processor 130 can calculate saturation in the way of arithmetical operation according to formula (2) and adjust Whole weight W_sat.Certainly, the curve 210~230 in Fig. 2 adjusts weight W_sat about saturation Can also be recorded in one or more look-up table with the relation of brightness.Image optimization processor 130 is also Saturation can be found out by this look-up table and adjust weight W_sat.
On the other hand, adjust weight W_sat according to saturation and calculate the side of view data IMGO Formula can have been come with the relational expression (3) that saturation adjusts weight W_sat by following output view data IMGO Become:
R O = W _ s a t * R I N 1 + 1 2 * ( 1 - W _ s a t ) * ( G I N 1 + B I N 1 )
G O = W _ s a t * G I N 1 + 1 2 * ( 1 - W _ s a t ) * ( R I N 1 + B I N 1 )
B O = W _ s a t * B I N 1 + 1 2 * ( 1 - W _ s a t ) * ( G I N 1 + R I N 1 ) - - - ( 3 )
Wherein, RO, GO and BO are the image of the output three coloured light included by view data IMGO Data.Certainly, image optimization processor 130 arithmetical operation of direct progressive form (3) can obtain output View data IMGO, image optimization processor 130 or can also according to formula (3) set up record output figure As data IMGO, the first view data IMG1 and saturation adjust the look-up table of weight W_sat, And to adjust weight W_sat to produce output view data according to saturation according to the look-up table set up IMGO。
On the other hand, image optimization processor 130 can be carried out more for output view data IMGO Further adjust action.Wherein, image optimization processor 130 also calculates output view data IMGO And brightness amplification dY2 between the first view data IMG1, and, image optimization processor 130 is also counted Calculate the details degree of variation of output view data IMGO.Image optimization processor 130 is again according to brightness amplification DY2 and details degree of variation export view data after producing adjustment.
It should be noted that brightness amplification dY2 can calculate output figure by image optimization processor 130 As the luminance difference of data IMGO and the first view data IMG1 obtains.Details degree of variation is the most permissible Calculated for the multiple pixel datas included by output view data IMGO by image optimization processor 130 Carry out calculating obtaining.Wherein, image optimization processor 130 can calculate respectively this pixel data with respectively should The difference of the brightness value of the neighborhood pixels data that pixel data is neighbouring obtains details degree of variation.
Below referring to Fig. 1, Fig. 3 and Fig. 4, wherein Fig. 3 illustrates the brightness increasing of the embodiment of the present invention The schematic diagram of width weighting function, Fig. 4 then illustrates the signal of the details variation weighting function of the embodiment of the present invention Figure.It is bright that the curve 310 that Fig. 3 illustrates represents that the brightness amplification weighting function of the embodiment of the present invention is presented Degree amplification and the relation curve of brightness amplification weight, wherein, the brightness amplification shown by curve 310 is with bright Degree amplification weight is inversely proportional to.Image optimization processor 130 can be by curve 310 according to being counted Brightness amplification dY2 calculated is to calculate brightness amplification weight.In the illustrating of Fig. 4, curve 410 is then The details degree of variation that the details variation weighting function of the expression embodiment of the present invention is presented and details variation weight Relation curve, wherein, the details degree of variation shown by curve 410 and details variation weight is to be directly proportional, And when details degree of variation is excessive, details variation weight can level off to a stationary value.
Additionally, image optimization processor 130 can be by the details variation weight obtained and brightness amplification power Heavily carry out being added to produce details correction weight, and come output view data by details correction weight IMGO is adjusted adjusting output view data IMGTO to produce.
Image optimization processor 130 can be adjusted exporting the generation of view data IMGTO according to formula (4), Formula (4) is as follows:
RTO=RO+dY2 × EDW
GTO=GO+dY2 × EDW
BTO=BO+dY2 × EDW (4)
Wherein, RTO, GTO and BTO are the output three coloured light included by view data IMGTO View data, EDW is then details correction weight.
Hereinafter refer to the flow chart that Fig. 5, Fig. 5 illustrate the image optimization method of the embodiment of the present invention.Figure As the step of optimization method includes: in step S510, receive view data and environmental light brightness, and Backlight illumination adjusted value is produced according to view data and environmental light brightness;Then, in step S520, Produce image data illumination adjusted value according to backlight illumination adjusted value, and adjust according to image data illumination Value adjusts the brightness of view data to produce the first view data;Finally, in step S530, foundation Image data illumination adjusted value produces saturation and adjusts weight, and adjusts according to saturation adjustment weight The brightness of the first view data is to produce output view data.
About the part of the action details of the present embodiment, have in detail in aforesaid embodiment and embodiment Explanation, below pardon do not repeat.
In sum, the present invention carries out outside the brightness adjustment of view data not only for backlight illumination adjusted value, Also can take into account the saturation of image to carry out the adjustment of view data.Consequently, it is possible to display device except Keyholed back plate can be carried out to save outside electric energy for the brightness of backlight module, also take into account the quality that image shows, Effectively reach the effect saved and impact optimizes.

Claims (13)

1. an image display device, including:
One analysis of image content device, receives a view data and an environmental light brightness, according to this picture number According to this and this environmental light brightness produces a backlight illumination adjusted value;
One luminance compensation device, couples this analysis of image content device, produces according to this backlight illumination adjusted value One image data illumination adjusted value and an image data illumination adjust ratio, and bright according to this view data Degree adjusted value and this image data illumination adjust ratio and adjust the brightness of this view data to produce one first View data;And
One image optimization processor, couples this luminance compensation device, comes according to this image data illumination adjusted value Producing a saturation and adjust weight, this image optimization processor also adjusts according to this saturation adjustment weight The brightness of this first view data is to produce an output view data.
2. image display device as claimed in claim 1, wherein this image optimization processor also calculates this A brightness amplification between output view data and this first view data, and calculate this output view data One details degree of variation, this image optimization processor and adjusting according to this brightness amplification and this details degree of variation This output view data whole is to export view data after producing an adjustment.
3. image display device as claimed in claim 2, wherein to calculate this defeated for this image optimization processor Go out the view data luminance difference with this first view data to obtain this brightness amplification.
4. image display device as claimed in claim 2, wherein this output view data includes multiple picture Prime number evidence, this image optimization processor calculates multiple neighbours that respectively this pixel data is neighbouring with respectively this pixel data The difference of the brightness value of nearly pixel data obtains this details degree of variation.
5. image display device as claimed in claim 2, wherein this image optimization processor is bright according to this Degree amplification and a brightness amplification weighting function obtain a brightness correction weighted value, and this image optimization processes Device also obtains a details variation correction weight according to this details degree of variation and details variation weighting function Value.
6. image display device as claimed in claim 5, wherein this image optimization processor is bright according to this Degree revise weighted value and this details variation revise weighted value and obtain a details correction weight, this figure As optimized processor and according to this details correction weight adjust this output view data to produce this adjustment after Output view data.
7. image display device as claimed in claim 1, wherein this image optimization processor is satisfied according to one Adjust weighting function and this image data illumination adjusted value with degree to produce this saturation and adjust weight, wherein, This saturation adjusts weight and is inversely proportional to this image data illumination adjusted value.
8. an image optimization method, it is adaptable to image display device, including:
Receive a view data and an environmental light brightness, according to this view data and this environmental light brightness Produce a backlight illumination adjusted value;
Produce an image data illumination adjusted value according to this backlight illumination adjusted value and a view data is bright Degree adjustment ratio, and adjust according to this image data illumination adjusted value and this image data illumination adjustment ratio The brightness of this view data whole is to produce one first view data;And
Produce a saturation according to this image data illumination adjusted value and adjust weight, and according to this saturation Adjust weight and adjust the brightness of this first view data to produce an output view data.
9. image optimization method as claimed in claim 8, the most also includes:
Calculate the brightness amplification between this output view data and this view data;
Calculate a details degree of variation of this output view data;And
This output view data is adjusted to produce an adjustment according to this brightness amplification and this details degree of variation Rear output view data.
10. image optimization method as claimed in claim 9, the most also includes:
Calculate this output view data luminance difference with this view data to obtain this brightness amplification.
11. image optimization methods as claimed in claim 9, wherein, this output view data includes multiple Pixel data, this image optimization method also includes:
Calculate respectively this pixel data and the brightness value of the multiple neighborhood pixels data neighbouring with respectively this pixel data Difference obtain this details degree of variation.
12. image optimization methods as claimed in claim 9, wherein, adjust weight according to this saturation and come The brightness adjusting this first view data includes with the step producing this output view data:
A brightness correction weighted value is obtained according to this brightness amplification and a brightness amplification weighting function;
Obtain a details variation according to this details degree of variation and details variation weighting function and revise weight Value;And
Make a variation according to this brightness correction weighted value and this details that revise weighted value and adjust this output figure As data are to export view data after producing this adjustment.
13. image optimization methods as claimed in claim 8, wherein, adjust according to this image data illumination Value produces the step of this saturation adjustment weight and includes:
Adjust weighting function according to a saturation and this image data illumination adjusted value produces this saturation and adjusts Whole weight,
Wherein, this saturation adjustment weight is inversely proportional to this image data illumination adjusted value.
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