CN104299600A - Image displaying device and image optimizing method thereof - Google Patents
Image displaying device and image optimizing method thereof Download PDFInfo
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Abstract
The invention relates to an image displaying device and an image optimizing method thereof. The image displaying device comprises an image content analyzer, a brightness compensator and an image optimizing processor, wherein image data and environment brightness are received by the image content analyzer, and a backlight brightness adjusting value is generated according to the image data and the environment brightness, an image data brightness adjusting value is generated by the brightness compensator according to the backlight brightness adjusting value, brightness of the image data is adjusted according to the image data brightness adjusting value to generate a first image data, saturation adjusting weight is generated by the image optimizing processor according to the image data brightness adjusting value, and brightness of the first image data is adjusted by the image optimizing processor according to the saturation brightness weight to generate output image data.
Description
Technical field
The present invention relates to a kind of image display device, and in particular to a kind of image display device carrying out image optimization.
Background technology
Along with electronic product universalness day by day, the display device of high quality is provided to become the important topic of deviser on the electronic device.For coordinating the demand of electronic installation mobile, no matter user needs in any environment, the electronic installation that high-quality shows can be provided.
In known technical field, display device can adjust according to the ambient brightness of residing environment the brightness that backlight module produces.But in comparatively bright outdoor environment, in order to resist the reflecting effect of high light, the brightness that backlight module produces often is transferred to maximum brightness, causes the waste of power consumption.In addition, in order to efficient solution economizes consumed power, the display device of known technology is by heightening the mode of the brightness of display image, and the brightness that backlight module is produced can moderately downgrade.
But the simple brightness heightening display image, can make the quality showing image produce such as noise and become large and the phenomenon of the in poor quality of color distortion, have influence on the visual effect that display device presents.Therefore, how taking into account display quality and power consumption, is the problem that this area deviser payes attention to.
Summary of the invention
The invention provides a kind of image display device, image optimization action can be carried out to the view data after brightness adjustment, use lifting display quality.
The present invention also provides a kind of image optimization method being applicable to image display device, can carry out image optimization action, use lifting display quality to the view data after brightness adjustment.
Image display device of the present invention comprises 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 couples analysis of image content device, and 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 couples luminance compensation device, produces saturation degree adjustment weight according to image data illumination adjusted value.Image optimization processor also adjusts the brightness of the first view data to produce output image data according to saturation degree adjustment weight.
In one embodiment of this invention, above-mentioned image optimization processor also calculates the brightness amplification between output image data and the first view data, and calculates the details degree of variation of output image data.Image optimization processor and adjust output image data to produce adjustment output image data afterwards according to brightness amplification and details degree of variation.
In one embodiment of this invention, the luminance difference that above-mentioned image optimization processor calculates output image data and the first view data obtains brightness amplification.
In one embodiment of this invention, above-mentioned output image data comprises multiple pixel data.Image optimization processor calculates the difference of the brightness value of multiple neighborhood pixels data of each pixel data and each pixel data vicinity to obtain details degree of variation.
In one embodiment of this invention, above-mentioned image optimization processor obtains brightness correction weighted value according to brightness amplification and brightness amplification weighting function.Image optimization processor also obtains details variation correction weighted value according to details degree of variation and details variation weighting function.
In one embodiment of this invention, that above-mentioned image optimization processor revises weighted value according to brightness correction weighted value and details variation and obtain details correction weight.Image optimization processor also adjusts output image data to produce the rear output image data of adjustment according to details correction weight.
In one embodiment of this invention, above-mentioned image optimization processor produces saturation degree adjustment weight according to saturation degree adjustment weighting function and image data illumination adjusted value.Wherein, saturation degree adjustment weight and image data illumination adjusted value are inversely proportional to.
Of the present invention kind of image optimization method is applicable to image display device.Step wherein comprises: receive view data and environmental light brightness, and produces backlight illumination adjusted value according to view data and environmental light brightness; Produce image data illumination adjusted value according to backlight illumination adjusted value again, and adjust the brightness of view data to produce the first view data according to image data illumination adjusted value; Further, produce saturation degree adjustment weight according to image data illumination adjusted value, and adjust the brightness of the first view data to produce output image data according to saturation degree adjustment weight.
Based on above-mentioned, image display device of the present invention adjusts the brightness of view data further for the adjustment according to backlight illumination, and increase the adjustment action that the view data after to adjustment carries out saturation degree, to optimize image to display further, promote the display usefulness of image display device.
For above-mentioned feature and advantage of the present invention can be become apparent, special embodiment below, and coordinate accompanying drawing to be 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 map of the saturation degree 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 process flow diagram 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 image data
DY: brightness adjustment value
210 ~ 230,310,410: curve
S510 ~ S530: image optimization step
Embodiment
Please refer to Fig. 1, Fig. 1 illustrates the schematic diagram of the image display device 100 of one embodiment of the invention.Image display device 100 comprises 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 adjusted value BLT according to view data IMGD and environmental light brightness ENL.
Backlight illumination adjusted value BLT is transferred into the luminance compensation device 120 coupled mutually with analysis of image content device 110.Luminance compensation device 120 produces image data illumination adjusted value and image data illumination resize ratio according to backlight illumination adjusted value BLT.Luminance compensation device 120 also adjusts the brightness of view data IMGD to produce the first view data IMG1 according to image data illumination adjusted value and image data illumination resize ratio.For example bright, the first coloured light view data RIN, the second coloured light view data GIN and the 3rd coloured light view data BIN is comprised for view data IMGD, luminance compensation device 120 also produces image data illumination adjusted value dY and image data illumination resize ratio RATIO according to backlight illumination adjusted value BLT, and produces the first view data IMG1 comprising the first coloured light view data RIN1, the second coloured light view data GIN1 and the 3rd coloured light view data BIN1 according to this.Wherein, the account form of the first coloured light view data RIN1, the second coloured light view data GIN1 and the 3rd coloured light view data BIN1 is as shown in the formula shown in (1):
RIN1=RATIO×RIN1+dY
GIN1=RATIO×GIN1+dY
BIN1=RATIO×BIN1+dY (1)
Be used for turning down the backlight illumination of image display device 100 for backlight illumination adjusted value BLT, image data illumination resize ratio RATIO can be one be greater than 1 value and in order to heighten view data IMGD brightness to produce the first view data IMG1.Image data illumination adjusted value dY is then available determines whether the saturation degree adjusting view data IMGD.Wherein, when image data illumination adjusted value dY is greater than 0, represent that the saturation degree of view data IMGD can be turned down; When image data illumination adjusted value dY is less than 0, represent that the saturation degree of view data IMGD can be raised; And when image data illumination adjusted value dY equals 0, represent that the saturation degree of view data IMGD can not be adjusted.
Image optimization processor 130 couples luminance compensation device 120.Image optimization processor 130 produces saturation degree adjustment weight according to image data illumination adjusted value dY.Image optimization processor 130 also adjusts the brightness of the first view data IMG1 to produce output image data IMGO according to the saturation degree adjustment weight calculated.Wherein, saturation degree adjustment weights W _ sat can calculate acquisition by following formula (2):
Wherein Max represents the computing of the maximal value of numerical value in the bracket getting its correspondence, and Min gets the computing of the minimum value of numerical value in the bracket of its correspondence.
Below referring to Fig. 1 and Fig. 2, wherein, Fig. 2 illustrates the curve map of the saturation degree adjustment weighting function of the embodiment of the present invention.The saturation degree adjustment weighting function that above-mentioned saturation degree adjustment weights W _ sat can be illustrated by Fig. 2 obtains.In fig. 2, brightness of image when curve 210 represents that data luminance adjusted value dY is greater than 0 and saturation degree adjust the relation curve of weights W _ sat; Brightness of image when curve 220 represents that data luminance adjusted value dY equals 0 and saturation degree adjust the relation curve of weights W _ sat; Brightness of image when curve 230 then represents that data luminance adjusted value dY is less than 0 and saturation degree adjust the relation curve of weights W _ sat.Curve 210 ~ 230 all can along with brightness of image toward saturation degree adjust weights W _ sat equal 1 position convergence.That is, when saturation degree adjustment weights W _ sat is greater than 1, can strengthen the saturation degree of view data IMGD, when saturation degree adjustment weights W _ sat equals 1, the saturation degree of view data IMGD remains unchanged; When saturation degree adjustment weights W _ sat is less than 1, the saturation degree of view data IMGD can be reduced.Saturation degree adjustment weights W _ sat and view data IMGD brightness adjustment value are inversely proportional to.
Image optimization processor 130 can calculate saturation degree adjustment weights W _ sat according to formula (2) in the mode of arithmetical operation.Certainly, also can be noted down in one or more look-up table about the relation of saturation degree adjustment weights W _ sat and brightness in the curve 210 ~ 230 in Fig. 2.Image optimization processor 130 also can find out saturation degree adjustment weights W _ sat by this look-up table.
On the other hand, the relational expression (3) that the mode calculating view data IMGO according to saturation degree adjustment weights W _ sat can adjust weights W _ sat by following output image data IMGO and saturation degree has been come:
Wherein, the view data of RO, GO and BO three coloured light included by output image data IMGO.Certainly, image optimization processor 130 directly can carry out the arithmetical operation of formula (3) to obtain output image data IMGO, image optimization processor 130 or also can set up the look-up table of record output image data IMGO, the first view data IMG1 and saturation degree adjustment weights W _ sat according to formula (3), and come according to saturation degree adjustment weights W _ sat according to the look-up table set up to produce output image data IMGO.
On the other hand, image optimization processor 130 further can adjust action for output image data IMGO.Wherein, image optimization processor 130 also calculates the brightness amplification dY2 between output image data IMGO and the first view data IMG1, and image optimization processor 130 also calculates the details degree of variation of output image data IMGO.Image optimization processor 130 produces the rear output image data of adjustment according to brightness amplification dY2 and details degree of variation again.
It should be noted that the luminance difference that brightness amplification dY2 can calculate output image data IMGO and the first view data IMG1 by image optimization processor 130 obtains.Details degree of variation then can be carried out calculating obtaining for the multiple pixel datas calculating included by output image data IMGO by image optimization processor 130.Wherein, image optimization processor 130 can calculate the difference of the brightness value of the respectively neighborhood pixels data that this pixel data is contiguous with respectively this pixel data to obtain details degree of variation.
Below referring to Fig. 1, Fig. 3 and Fig. 4, wherein Fig. 3 illustrates the schematic diagram of the brightness amplification weighting function of the embodiment of the present invention, and Fig. 4 then illustrates the schematic diagram of the details variation weighting function of the embodiment of the present invention.The curve 310 that Fig. 3 illustrates represents the relation curve of the brightness amplification that the brightness amplification weighting function of the embodiment of the present invention presents and brightness amplification weight, and wherein, the brightness amplification shown by curve 310 and brightness amplification weight are inversely proportional to.Image optimization processor 130 can calculate brightness amplification weight by curve 310 according to the brightness amplification dY2 calculated.In the illustrating of Fig. 4, curve 410 represents that the details variation details degree of variation that presents of weighting function of the embodiment of the present invention and details make a variation the relation curve of weight, wherein, details degree of variation shown by curve 410 and the details weight that makes a variation is directly proportional, and when details degree of variation is excessive, details variation weight can level off to a stationary value.
In addition, obtained details variation weight and brightness amplification weight can carry out being added to produce details correction weight by image optimization processor 130, and adjust to produce adjustment output image data IMGTO to output image data IMGO by details correction weight.
Image optimization processor 130 can carry out according to formula (4) generation adjusting output image data IMGTO, and formula (4) is as follows:
RTO=RO+dY2×EDW
GTO=GO+dY2×EDW
BTO=BO+dY2×EDW (4)
Wherein, the view data of RTO, GTO and BTO three coloured light included by output image data IMGTO, EDW is then details correction weight.
Below please refer to Fig. 5, Fig. 5 illustrates the process flow diagram of the image optimization method of the embodiment of the present invention.The step of image optimization method comprises: in step S510, receives view data and environmental light brightness, and produces backlight illumination adjusted value 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 the brightness of view data to produce the first view data according to image data illumination adjusted value; Finally, in step S530, produce saturation degree adjustment weight according to image data illumination adjusted value, and adjust the brightness of the first view data to produce output image data according to saturation degree adjustment weight.
About the part of the action details of the present embodiment, there is detailed description in aforesaid embodiment and embodiment, below do not repeat for this reason.
In sum, the present invention not only carries out for backlight illumination adjusted value outside the brightness adjustment of view data, also can take into account the saturation degree of image to carry out the adjustment of view data.Thus, display device, except carrying out keyholed back plate to save except electric energy for the brightness of backlight module, also takes into account the quality of image display, effectively reaches and saves and effect of impact optimization.
Claims (13)
1. an image display device, comprising:
One analysis of image content device, receives a view data and an environmental light brightness, produces a backlight illumination adjusted value according to this view data and this environmental light brightness;
One luminance compensation device, couple this analysis of image content device, produce an image data illumination adjusted value and an image data illumination resize ratio according to this backlight illumination adjusted value, and the brightness adjusting this view data according to this image data illumination adjusted value and this image data illumination resize ratio is to produce one first view data; And
One image optimization processor, couple this luminance compensation device, produce a saturation degree adjustment weight according to this image data illumination adjusted value, this image optimization processor also adjusts the brightness of this first view data to produce an output image data according to this saturation degree adjustment weight.
2. image display device as claimed in claim 1, wherein this image optimization processor also calculates the brightness amplification between this output image data and this first view data, and calculate a details degree of variation of this output image data, this image optimization processor and adjust this output image data to produce output image data after an adjustment according to this brightness amplification and this details degree of variation.
3. image display device as claimed in claim 2, wherein this image optimization processor calculates the luminance difference of this output image data and this first view data to obtain this brightness amplification.
4. image display device as claimed in claim 2, wherein this output image data comprises multiple pixel data, and the difference that this image optimization processor calculates the brightness value of respectively multiple neighborhood pixels data that this pixel data is contiguous with respectively this pixel data obtains this details degree of variation.
5. image display device as claimed in claim 2, wherein this image optimization processor obtains a brightness correction weighted value according to this brightness amplification and a brightness amplification weighting function, and this image optimization processor also obtains a details variation correction weighted value according to this details degree of variation and details variation weighting function.
6. image display device as claimed in claim 5, wherein this image optimization processor revise weighted value according to this brightness correction weighted value and the variation of this details and obtain a details correction weight, this image optimization processor also adjusts this output image data to produce output image data after this adjustment according to this details correction weight.
7. image display device as claimed in claim 1, wherein this image optimization processor produces this saturation degree adjustment weight according to a saturation degree adjustment weighting function and this image data illumination adjusted value, wherein, this saturation degree adjustment weight and this image data illumination adjusted value are inversely proportional to.
8. an image optimization method, is applicable to image display device, comprising:
Receive a view data and an environmental light brightness, produce a backlight illumination adjusted value according to this view data and this environmental light brightness;
Produce an image data illumination adjusted value according to this backlight illumination adjusted value, and the brightness adjusting this view data according to this image data illumination adjusted value is to produce one first view data; And
Produce a saturation degree adjustment weight according to this image data illumination adjusted value, and adjust the brightness of this first view data to produce an output image data according to this saturation degree adjustment weight.
9. image optimization method as claimed in claim 8, wherein also comprises:
Calculate the brightness amplification between this output image data and this view data;
Calculate a details degree of variation of this output image data; And
This output image data is adjusted to produce output image data after an adjustment according to this brightness amplification and this details degree of variation.
10. image optimization method as claimed in claim 9, wherein also comprises:
Calculate the luminance difference of this output image data and this view data to obtain this brightness amplification.
11. image optimization methods as claimed in claim 9, wherein, this output image data comprises multiple pixel data, and this image optimization method also comprises:
The difference calculating the brightness value of respectively this pixel data and the multiple neighborhood pixels data contiguous with respectively this pixel data obtains this details degree of variation.
12. image optimization methods as claimed in claim 9, wherein, the brightness adjusting this first view data according to this saturation degree adjustment weight comprises with the step producing this output image 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 weighted value; And
That revise weighted value according to this brightness correction weighted value and the variation of this details and adjust this output image data to produce output image data after this adjustment.
13. image optimization methods as claimed in claim 8, wherein, the step producing this saturation degree adjustment weight according to this image data illumination adjusted value comprises:
This saturation degree adjustment weight is produced according to a saturation degree adjustment weighting function and this image data illumination adjusted value,
Wherein, this saturation degree adjustment weight and this image data illumination adjusted value are inversely proportional to.
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