CN1985290A - Gray scale display device - Google Patents
Gray scale display device Download PDFInfo
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- CN1985290A CN1985290A CN 200480001432 CN200480001432A CN1985290A CN 1985290 A CN1985290 A CN 1985290A CN 200480001432 CN200480001432 CN 200480001432 CN 200480001432 A CN200480001432 A CN 200480001432A CN 1985290 A CN1985290 A CN 1985290A
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Abstract
The gradation display device contains gradient detecting circuit ( 3 ) for detecting a gradient of gradation values of pixels in an incoming image; time-varying gradation-value detecting circuit ( 4 ) for detecting changes in gradation values of the pixels with a passage of time; an image detector for detecting a magnitude and a direction of movement of the incoming image according to outputs from gradient detecting circuit ( 3 ) and time-varying gradation-value detecting circuit ( 4 ); and gradation correcting circuit ( 12 ) for correcting signals of the incoming image according to the detected magnitude and direction of the image and the weight of luminance assigned to each of the sub-fields so as to display proper image.
Description
Technical field
The present invention relates to use the grey scale display unit of son field, particularly relate to the gray scale display distortion in the time of to reduce the dynamic image demonstration, the grey scale display unit of the empty profile of dynamic image.
Background technology
In image display device that gray scale shows is carried out in the use field of the display device of usually using plasma display panel (PDP) (PDP) etc., can see the image quality aggravation phenomenon of the clutter shape that is called [the empty profile of dynamic image] etc. sometimes in the dynamic image part.
Though having known the empty profile of this dynamic image can be improved by the quantity that increases the son field, but according to this class devices such as PDP, if increase the son field, then be difficult to guarantee fluorescent lifetime and can not obtain the brightness of necessity, owing to there is above-mentioned problem, therefore attempt to set less sub-number, only in the part that produces the empty profile of dynamic image, control field is with respect to the combination of wanting gray-scale displayed, to take into account the dynamic image image quality and to guarantee brightness (reference example such as spy open the 2000-276100 communique).
In this existing image display device, at image mobile part is arranged, restriction shows used grey, and the combination of the gray-scale value that be difficult for to produce the empty profile of dynamic image limited display image, in order to remedy the decline of grey, append virtual gray scale by dithering process, guarantee certain gray scale.
But, in existing image display device, mobile detection is not the structure that adopts the gradation display method of sub of special consideration utilization, aspect the image section or attractive part that detect easy generation dynamic image void profile accurately, room for improvement is arranged still.
The present invention puts forward in order to solve such problem, and a kind of generation part and simple grey scale display unit of circuit structure that can correctly detect the empty profile of substantial dynamic image is provided.
Summary of the invention
In order to address the above problem, grey scale display unit of the present invention has following characteristics, be to constitute a field duration and carry out gray scale gray-scale displayed display device, be included in the gradient detecting unit that detects the gradient of gray-scale value in picture of pixel in the image of input by its a plurality of sons by luminance weighted a plurality of sons field with regulation; In the image of input, detect the time change-detection unit of the gray-scale value of pixel with respect to the intensity of variation of time; The image that detects input according to the output of the output of gradient detecting unit and time change-detection unit moves the unit of size and image moving direction; And move size and image moving direction, and the luminance weighted signal correction unit that the picture signal of importing is revised and shown of son according to the image of described detection.
Description of drawings
Fig. 1 is the block scheme of the grey scale display unit structure of expression one embodiment of the present invention.
Fig. 2 is the scope combination of characteristic quantity of this device and the synoptic diagram of control method.
Fig. 3 is the block scheme of an example of the smoothness testing circuit of this device of expression.
Fig. 4 is the block scheme of an example of the gradient testing circuit of this device of expression.
Fig. 5 is the synoptic diagram of an example of the filter coefficient of this gradient testing circuit of expression.
Fig. 6 is the block scheme of an example of the time change-detection of this device.
Fig. 7 is the performance plot of the decision circuit of this device of expression.
Fig. 8 is the synthetic determination result's of this device a structural drawing.
Fig. 9 is the key diagram that changes the method for coming the computed image amount of movement in this device according to gradient and time.
Figure 10 is the performance plot that the tonal distortion amount of this device is estimated circuit.
Figure 11 is the performance plot of the gray scale correction circuit of this device.
Figure 12 is the luminance weighted and luminous constitutional diagram of the son field of this device.
Figure 13 is the coding method figure of the coding circuit of this device.
Figure 14 is the gradient direction of image section in the grey scale display unit of other embodiment of the present invention and the relativeness figure of image moving direction.
Figure 15 is the tonal distortion amount evaluation map of this device.
Figure 16 is the block scheme of the grey scale display unit structure of other embodiment of expression the present invention.
Figure 17 is the synoptic diagram of gradient direction component VG of the mobile vector V of this device.
Figure 18 is the structural drawing of the tonal distortion amount prediction circuit of this device.
Figure 19 is the block scheme of the grey scale display unit structure of other embodiment of expression the present invention.
Figure 20 is the block scheme of the gray scale correction circuit structure of this device of expression.
Figure 21 is the key diagram that the general error diffusion coefficient of explanation is used.
Figure 22 is the key diagram that the error diffusion coefficient control method of explanation device of the present invention is used.
Figure 23 is the synoptic diagram of transfer of the error diffusion coefficient EA of this device.
Figure 24 is the key diagram that the computing method of the error diffusion coefficient EA of this device of explanation are used.
Figure 25 is the key diagram that the interpolation notion of the error diffusion coefficient EA of this device of explanation is used.
Figure 26 is the transition diagram of the error diffusion coefficient EB of this device.
Figure 27 is the key diagram that the interpolation notion of the error diffusion coefficient EB of this device of explanation is used.
Figure 28 is the key diagram that the interpolation notion of the error diffusion coefficient EC of this device of explanation is used.
Figure 29 is the key diagram that the interpolation notion of the error diffusion coefficient ED of this device of explanation is used.
Embodiment
Below, the grey scale display unit of one embodiment of the present invention is described with reference to accompanying drawing.
Fig. 1 is the block scheme of the grey scale display unit structure of expression one embodiment of the present invention.In Fig. 1, the picture signal of being supplied with by input end 1 supplies with smoothness testing circuit 2 as the smoothness detecting unit respectively, as the gradient testing circuit 3 of gradient detecting unit and as the time change detecting circuit 4 of time change-detection unit, this time change detecting circuit 4 detects the time orientation of the pixel in the image of input, promptly with respect to the intensity of variation of the gray-scale value of time.Smoothness testing circuit 2 is the smooth degrees that detect the gray-scale value of pixel in the image of input, and gradient testing circuit 3 is the gray-scale value gradients in picture that detect pixel in the image of above-mentioned input in addition.
With each output of smoothness testing circuit 2, gradient testing circuit 3, time change detecting circuit 4 decision circuit the 5,6, the 7th, import the decision circuit of data and predetermined threshold comparison as input, to the output of a plurality of decision circuits 5～7 of synthetic determination circuit 8 inputs, export synthetic determinations k as a result from synthetic determination circuit 8.
Output S to decision circuit 5 input smoothness testing circuits 2 can set a threshold value TH1 simultaneously, and output result of determination k1.To the output G of decision circuit 6 input gradient testing circuits 3, can set two threshold value TH2, TH3 simultaneously, and output result of determination k2.To the output B of decision circuit change detecting circuit 7 input time 4, can set two threshold value TH4, TH5 simultaneously, and output result of determination k3.And to synthetic determination circuit 8 these result of determination of input k1, k2, k3.
In addition, the output G of gradient testing circuit 3, the output B of time change detecting circuit 4 supply with amount of movement testing circuit 9, detect the mobile size and the image moving direction of the image of input according to the data of this input.Then, the output G of gradient testing circuit 3, the output m1 of amount of movement testing circuit 9 supply with the tonal distortion amount and estimate circuit 10, tonal distortion amount is in addition estimated the output m2 of circuit 10 and the output k of synthetic determination circuit 8 supplies with correction control circuit 11, controls action as the gray scale correction circuit 12 of signal correction unit according to the output of this correction control circuit 11.
Supply with above-mentioned gray scale correction circuit 12 by the picture signal of input end 1 input and the output m3 of correction control circuit 11, its output links to each other with a son grey scale display unit 13.That is, this gray scale correction circuit 12 moves the luminance weighted information of son of the picture signal of the information of size and image moving direction and input according to the image that is detected by amount of movement testing circuit 9, and the picture signal of importing is revised and shown.
Then, describe the effect of the various piece of the grey scale display unit that adopts this spline structure in detail.
At first, in Fig. 1, utilize smoothness testing circuit 2, gradient testing circuit 3 and time change detecting circuit 4, the feature of the pixel of the attention in the picture signal of detection input or the image of appointed area.Fig. 2 is the synoptic diagram of an example of the combination of this characteristic range and control method.
Promptly, as shown in Figure 2, the decision circuit 5～7 that utilizes smoothness testing circuit 2, gradient testing circuit 3, time change detecting circuit 4 and link to each other with these circuit, judge feature and each scope of the image of input, utilize synthetic determination circuit 8 again, considerable zone is divided into six classes such as [no time change], [time changes excessive], [par], [edge part], [certain rake], [complicated figure], by with this six class in which zone quite decide synthetic determination k as a result.Also have, in Fig. 2, the sign of inequality is represented the characteristic quantity of each pixel and the magnitude relationship of threshold value, and [X] symbolic representation magnitude relationship is an arbitrary value.
As shown in Figure 2, in decision circuit 5, if the smooth degree in the zone of noting is S, then detect the scope that becomes S 〉=TH1 (TH1 is the threshold value of decision circuit 5), in addition in decision circuit 6, if the gradient of this regional gray-scale value is G, then detect the scope that becomes TH2≤G≤TH3 (TH2, TH3 are the threshold value of decision circuit 6), in addition in decision circuit 7, if the intensity of variation of the time orientation of this regional gray-scale value is B, then detect the scope that becomes TH4≤B≤TH5 (TH4, TH5 are the threshold value of decision circuit 7).Then, the scope pixel of this detection is judged the zone that produces the empty profile of dynamic image or easily detect as easy, this part is carried out the gray scale correction, and carry out the image demonstration.
Promptly, since the grey scale pixel value of the formation image of the empty profile of dynamic image in picture gradient (degree of tilt) and the intensity of variation with respect to the time of grey scale pixel value be in respectively in the suitable upper and lower bound scope, and very noticeable in the relatively smooth part of image graphics, therefore detect such part selectively.
An example of above-mentioned smoothness testing circuit 2, gradient testing circuit 3, time change detecting circuit 4 is described here.At first, smoothness testing circuit 2 is made of following circuit as shown in Figure 3, comprises the delay circuit 20 that each picture element signal is postponed according to the picture signal from input end 1 input; With each output of this delay circuit 20 as input and calculate the pixel average computing circuit 21 of the mean value of gray-scale value according to each picture element signal; The difference of the output valve by obtaining this pixel average computing circuit 21 and the output valve of above-mentioned delay circuit 20, and the gray-scale value of each picture element signal is compared the difference channel 22 of the difference of obtaining much degree with mean value, obtain the signed magnitude arithmetic(al) circuit 23 of the absolute value of the difference value of obtaining at this difference channel 22, and by absolute value addition with these signed magnitude arithmetic(al) circuit 23 outputs, the adding circuit 24 of the smooth degree output of each grey scale pixel value of the picture signal that obtains importing.
Then, gradient testing circuit 3 as shown in Figure 4, by the vertical filter 31 of the variation of the grey scale pixel value of the horizontal filter 30 of the variation of the grey scale pixel value of detection level direction, detection of vertical direction, obtain above-mentioned horizontal filter 30 and vertical filter 31 each output valve absolute value signed magnitude arithmetic(al) circuit 32 and the adding circuit 33 of the output valve addition of this signed magnitude arithmetic(al) circuit 32 constituted.Above-mentioned horizontal filter 30 and vertical filter 31 be to play the effect that surrounding pixel to noticed pixel multiply by the coefficient of regulation and carries out addition, as an example of this coefficient, as long as respectively shown in pie graph 5A, Fig. 5 B.Promptly, by using this horizontal filter 30 and vertical filter 31, from the picture signal of input end 1 input, detecting the variation of grey scale pixel value with respect to horizontal direction and vertical direction, by the absolute value addition of the value that will detect, detect the gradient as the inclined degree of grey scale pixel value of the picture signal of input.
Then, time change detecting circuit 4 as shown in Figure 6, constitute by the field delay circuit 40 of the signal delay of a field of the picture signal that makes input, the difference channel 41 of grey scale pixel value and the difference of the grey scale pixel value of the picture signal of previous field by above-mentioned delay circuit 40 of obtaining present picture signal and the signed magnitude arithmetic(al) circuit 42 of absolute value of obtaining the output of this difference channel 41, the grey scale pixel value of the grey scale pixel value by obtaining present picture signal and the picture signal of previous field poor, the time of detecting the grey scale pixel value of attention changes.
Also having, in Fig. 2, be simply the gradation of image correction degree of importing to be designated as [revising=weak] and [revising=strong] these two kinds, but the degree of revising can be made as the multistage mode more than three grades and three grades, by switching correction continuously, carries out smooth correction.Fig. 7 A, Fig. 7 B, Fig. 7 C represent the characteristic of decision circuit 5, decision circuit 6, decision circuit 7 respectively, for corresponding with the continuous correction of above-mentioned gray scale, are the characteristic shown in Fig. 7 A, Fig. 7 B, Fig. 7 C therefore.
Promptly, if the characteristic of the decision circuit 5 of explanation shown in Fig. 7 A, then for detected smooth degree S, setting threshold TH1 makes smooth degree S in the part close with threshold value TH1, and decision circuit 5 is output as the intermediate value of [0] and [1], when smooth degree S less than the part of threshold value TH1 the time, decision circuit 5 is output as more the value near [0], and smooth degree S is greater than the part of threshold value TH1 the time, and decision circuit 5 is output as more the value near [1].
About decision circuit 6 shown in Fig. 7 B, threshold value TH2 and TH3 are set, make that when importing be gradient G between these two threshold values the time, decision circuit 6 is output as more the value near [1], under the value of gradient G situation beyond this, decision circuit 6 is output as more the value near [0].
In addition, about decision circuit 7 shown in Fig. 7 C, the same with decision circuit 6, two threshold value TH4 and TH5 are set, when input is a gray-scale value when the intensity of variation B of time is between these two threshold values, decision circuit 7 is output as more the value near [1], and under the situation beyond this, decision circuit 6 is output as more the value near [0] with respect to the value of the intensity of variation B of time.Also have, the output of actual decision circuit 5, decision circuit 6, decision circuit 7 can certainly change steppedly.
In addition, the output synthetic determination synthetic determination circuit 8 of k as a result is made of multiplier for example shown in Figure 8 81,82, each output k1, k2, the k3 of above-mentioned decision circuit 5～7 long-pending carried out computing, and the feature of the image that obtains according to decision circuit 5～7 can obtain synthetic determination k as a result glossily.
On the other hand, the size that image moves, be that the detection of amount of movement and image moving direction is the intensity of variation B of the time orientation that detects according to the gradient G that is detected by gradient testing circuit 3 with by time change detecting circuit 4, undertaken by amount of movement testing circuit 9.If the supposition shape invarianceization of objects displayed and the gradation of image value changes, then can carry out computing by following on this computing method principle.
That is, as shown in Figure 9, owing to can suppose with the grey scale pixel value of attention and be directly proportional at the intensity of variation B of time orientation, with variation in the picture of gray-scale value, be that gradient G is inversely proportional to, so image amount of movement m1 can obtain with m1=B/G.Just, when the variation of gradient G was big, above-mentioned supposition was false, and amount of movement can not correctly be obtained.In addition, in the part that does not have gradient G basically,, therefore can not obtain amount of movement accurately in this situation because of the denominator of aforementioned calculation formula is very little numerical value.In addition, change under the very little situation, do not produce the empty profile of dynamic image basically, or the brightness in the unit interval changes under the very large situation on the contrary, be difficult to aware for the empty profile of dynamic image at time orientation.Thereby, by limiting the combination of characteristics of image shown in Figure 2, easily producing in the part of the empty profile of dynamic image, detected image moves accurately.That is, according to the output k of synthetic determination circuit 8, the action by control is revised the empty profile of dynamic image is easily producing in the part of the empty profile of dynamic image, and detected image moves accurately, and the correction image signal.
Also have, the amount of movement of being obtained by the computing of above-mentioned amount of movement testing circuit 9 is so long as the feature of image satisfies above-mentioned condition just can enough obtain exactly, but the amount of movement of this detection is the pixel count of time per unit, be original just with the different physical quantity of the empty profile of the dynamic image that displays as tonal distortion, and not necessarily with from visually estimate actual observation to the value of dynamic image void profile proportional fully.
Therefore, adopt so in the present invention to constitute, it uses the tonal distortion amount evaluation circuit 10 with two-dimentional input-output characteristic as shown in figure 10 to infer tonal distortion amount m2, does not have m2 to be input to correction control circuit 11 this tonal distortion amount.Promptly adopt like this to constitute, the pixel translational speed that it will be obtained by amount of movement testing circuit 9 is the distortion that the image amount of movement is transformed into gray-scale value, and is input to correction control circuit 11.
The characteristic of this Figure 10 is to be peaked characteristic under the situation that changes amount of movement for the size of certain gradient, at the empty profile of the intermediate value place of amount of movement dynamic image.That is the characteristic that tonal distortion amount, is estimated circuit 10 can be described as the part that amount of movement is big in that gradient is less (A of Figure 10) or amount of movement is less and the point of the part (B as 10) that gradient is big represents to produce the function of the empty profile of very serious dynamic image.
Then,, can constitute, the tonal distortion amount m2 that infers is multiplied by the synthetic determination coefficient k, and output be through the gray scale corrected signal m3 of computing with for example multiplier though correction control circuit 11 is not shown.
In addition, in the gray scale correction circuit 12 of this gray scale corrected signal of input m3,, correspondingly carry out the gray scale correction in order to suppress to move and gray-scale value according to sub-field structure, image because of the image that uses the son field shows the empty profile of the dynamic image that produces thereupon.This gray scale correction circuit 12 as shown in figure 11, by the combination of coding circuit and feedback circuit and constitute.
In Figure 11, supply with to coding circuit 122 through totalizer 121 by the picture signal of input end 1 input, then in coding circuit 122, after the coding of stipulating, from output terminal 125 outputs.At this moment, the difference of the signal before subtracter 123 is obtained and encoded, then through feedback circuit 124 in totalizer 121 and input signal addition.Also have,, therefore, carry out so-called error diffusion as gray scale correction circuit 12 and handle by carry out the gray scale restriction at coding circuit 122 because feedback circuit 124 generally contains a plurality of system delay elements and coefficient circuit.
An example of the luminance weighted and luminous coding method of making up of Figure 12 that to be expression will use by grey scale display unit 13 Figure 12 shows that 10 sub-fields (situation of SF1～SF10) of using.As shown in figure 12, the luminance weighted ratio of each height field is made as [1], [2], [4], [8], [16], [24], [32], [40], [56], [72] respectively.In addition, Figure 12 represents the allocated code method of the son field corresponding with the gradation of image value of certain input, and the part of " 1 " among the figure is represented [having luminous].
Figure 13 is the synoptic diagram of the coding method in the coding circuit 122 of Figure 11, the example of luminance weighted and this coding method of expression.Promptly, little as correction, then using many gray scales to carry out gray scale shows, carry out gray-scale Control like this, big as correction on the other hand, then use few grey to carry out gray scale and show, carry out gray-scale Control like this, utilize error diffusion to guarantee effective gray scale simultaneously and carry out image to show.In Figure 13, the correction of gray scale is made as eight sections of [0]～[7], and the gray-scale value that uses is put on round dot.That is, when being [0] as the gray scale correction, can use all gray scales, when being [7] as the gray scale correction, the grey that can use is minimum.This by increasing correction, with the correlationship of maintenance gray-scale value with sub luminescence distribution, suppresses the generation of the empty profile of dynamic image in the part that may very seriously produce the empty profile of dynamic image.In addition, along with the generation of the empty profile of imaginary dynamic image is fewer and feweri, by reducing correction, can control gray scale correction continuously to image, realize that the empty profile of smooth dynamic image suppresses and carry out good gray scale correction in the part of the empty profile of difficult generation dynamic image.
Like this, according to present embodiment, have the gradient that detects in the image frame and gray-scale value with respect to the intensity of variation of time, and move the unit of size and image moving direction according to the image that this detected information detects input; And move luminance weighted, the picture signal of revising input of size and image moving direction and son and the signal correction unit that shows according to detected image, can carry out good gray scale demonstration with simple structure.
But, move the method for itself as calculating figure with respect to the intensity of variation of time according to image gradient and gray scale, described methods such as [multi-dimensional signal of TV image is handled] (blow to pull out and respect man of virtue and ability's work, P202～P207, issue clear and on November 15th, 63) have been known and have had.But, should described gradient method such as the multi-dimensional signal of the TV images [handle] be for move hour effectively, and the widely used surely method that in fact differs.
The present invention is the generation by the empty profile of dynamic image in the image display device that observe to use son, and illustrates the method that the empty profile generation of dynamic image is found with respect to the mutual relationship of sub-field structure, characteristics of image, image amount of movement etc.Promptly, as long as the part of the gradient of having found to satisfy gray-scale value in set upper limit and lower range, gray-scale value are with respect to the condition of the part of variation in set upper limit and lower range of time, just can determine the generation position or the generation degree of the empty profile of dynamic image easily, basically can correctly detect moving of image according to gradient and time variation simultaneously, and make full use of the relation of above-mentioned discovery, just can provide the method for taking into account dynamic image characteristic and stationary characteristic with simple structure well.
Also have, about the coding method of luminance weighted, the son of the son that uses in the above description, predict the method for tonal distortion amount, the method for gray scale correction etc., can do various distortion certainly according to the image amount of movement.
Other embodiment of the present invention then is described.In the present embodiment, be according to the input picture signal gray-scale value smooth degree or the gradient in the picture, synthetically judge the correction that obtains with respect to the intensity of variation of time, when controlling gray-scale value and showing, the gradient direction of paying attention to gray-scale value and relation with respect to the change direction of time judge that more accurately the program of the empty profile of dynamic image that produces is also carried out image correction.In the present embodiment, compare with the embodiment of Fig. 1, because the inner structure of having only tonal distortion amount prediction circuit 10 is different with action, and other structure, action are all identical basically, so different parts only is described.
Figure 14 is illustrated in the grey scale display unit of present embodiment, wants the gradient direction of the image section that shows and the relativeness of image moving direction.The form of Figure 14 part and explanation in the above-described embodiment shown in Figure 12 identical, solid arrow shown in Figure 14 and dotted arrow are the difference for the amount that the empty profile of dynamic image that the identical image section observation of gradient for gray scale produces when the image that moves in the other direction is described.
For example, in Figure 14, consider with gray-scale value for the value of [200] be the center near have the situation that ramp waveform moves.Shown in Figure 14 A,, produce the empty profile of more serious dynamic image comparatively speaking if image section when the side that increases with gray-scale value is mobile in the opposite direction, observes the probability of son of [having luminous] than original lacking in picture.In contrast, as shown in Figure 14B, when if image section moves to the identical direction of the direction that increases in picture with gray-scale value, though observe with the former luminous quantity that should observe and compare the luminous of more point, but with to compare its amount to situation about moving in the other direction less, the degree of its resultant dynamic image void profile is less.
Thereby, when moving the generation of estimating the empty profile of dynamic image according to image, the gradient direction of the gray-scale value in moving direction of evaluation map image drift relatively and the picture, and, can carry out image correction more accurately by changing the image correction amount.
Figure 15 is the situation of this control of expression, is that the expression of the tonal distortion amount gradient of size and Orientation and gray-scale value is moved in to(for) image is estimated.Figure 15 moves image (transverse axis) and gradient (longitudinal axis) two variable functions as two parameters, and functional value (vertical with the paper direction) is the tonal distortion amount, is the evaluation of estimate of the empty profile of dynamic image.
According to this Figure 15 as can be known, even same image gradient is identical with the absolute value that image moves,, the image correction amount is changed by the combination of image moving direction and gray value gradient direction.In addition, set like this in the example of Figure 15, the absolute value of the size that image moves begins to increase according to the state from [0], and the image correction amount also increases thereupon, a bit reaches maximal value to certain.This maximal value is set like this, because of the combination of image moving direction and gradient direction different, for example, the correction that the image moving direction makes image for the gradient of [+] and gray-scale value during for the combination of [+] is for maximum, or the image moving direction makes the correction of image for maximum for the gradient of [-] and gray-scale value during for the combination of [-].
Like this, according to present embodiment,, be the correction that correspondingly changes image according to the combination of image moving direction and gradient direction for the empty profile of dynamic image, can carry out good gray scale with simple structure and show not.
Then, with Figure 16～Figure 18 other embodiment of the present invention is described.Present embodiment is the image moving direction to be divided into the horizontal direction component and the vertical direction component detects, and carries out the grey scale display unit of corrected signal according to gradient magnitude and image being moved value that size conversion becomes gradient direction to obtain.In Figure 16, compare with embodiment shown in Figure 1, for identical the putting on same numeral and omit its explanation of elemental motion.
In Figure 16, gradient testing circuit 31 is except the gradient absolute value of output gray level value | and G|, also export the horizontal direction component Gx and the vertical direction component Gy of gradient.The amount of moving horizontally testing circuit 91 and vertical moving amount testing circuit 92 are intensity of variation B according to the horizontal direction component Gx of gradient, the vertical direction component Gy of gradient, the variable quantity with respect to the time of gray-scale value, come the amount of movement Vx of horizontal direction of computed image and the amount of movement Vy of vertical direction.And then, tonal distortion amount prediction circuit 100 is according to the gradient absolute value | and the amount of movement Vy of the amount of movement Vx of the horizontal direction of the horizontal direction component Gx of G|, gradient, the vertical direction component Gy of gradient, image and the vertical direction of image, calculate equivalent tonal distortion amount me.
Figure 17 is the relation of the gradient component VG of the mobile vector V that represents with image mobile component (Vx, Vy) of expression and mobile vector V.This VG calculates according to the tonal distortion amount prediction circuit 100 of structure shown in Figure 16.
Figure 18 is the concrete structure figure of tonal distortion amount prediction circuit 100, in Figure 18, utilize arctan function converter unit 101 and arctan function converter unit 102 and subtracter 103 to calculate angle between mobile vector V and the gradient direction, and then it is carried out conversion with cosine function converter unit 104, to the absolute value of going up the image amount of movement of obtaining with absolute value circuit 106 on duty after the conversion, by obtaining the mobile magnitude component VG of the gradient that is transformed to image like this.Table 107 can carry out estimating the identical empty profile generation prediction of dynamic image of circuit 10 with the tonal distortion amount of Fig. 1.
According to as above structure, image can be moved with the unification of image gradient direction and estimate, can correctly infer the generation premeasuring of the empty profile of dynamic image, carry out correct image correction and preferable image display.
Figure 19 is the block scheme of expression other embodiment of the present invention, in Figure 19, the part identical with part shown in Figure 1 is put on identical numbering.In Figure 19, the amount of moving horizontally testing circuit 14,15,45 ° of amount of movement testing circuits 16 of vertical moving amount testing circuit and 135 ° of amount of movement testing circuits 17 are supplied with the output G of gradient testing circuit 3 and the output B of time orientation change detecting circuit 4 respectively.In addition, the output of the amount of moving horizontally testing circuit 14, vertical moving amount testing circuit 15 is as the input of amount of movement computing circuit 18, and to the amount of movement of synthetic determination circuit 8 inputs by 13 calculating of amount of movement computing circuit, the output synthetic determination is k as a result then.This synthetic determination k supply as a result signal correction unit is a gray scale correction circuit 19.
To the picture signal of these gray scale correction circuit 19 inputs, utilize this gray scale correction circuit 19 to revise the gray scale Correction and Control and the error diffusion control of the gradation of image value of input by input end 1 input.The synthetic determination of the method for this gray scale correction and error diffusion by above-mentioned synthetic determination circuit 8 output of k and the amount of moving horizontally testing circuit 14,15,45 ° of amount of movement testing circuits 16 of vertical moving amount testing circuit and 135 ° of amount of movement testing circuits 17 as a result controlled.The picture signal that is obtained the gray scale correction by this gray scale correction circuit 19 is supplied with a son grey scale display unit 13, and shows as image.
Here be to constitute like this, it comes detected image to move size by four direction, and be used for the control of the gray scale correction circuit 19 of back level, but image moves itself calculating of size owing to can calculate according to the amount of moving horizontally and these two amounts of vertical moving amount, therefore after will supplying with amount of movement computing circuit 18 and obtaining mobile size, to 8 inputs of synthetic determination circuit, decide the synthetic determination suitable value of k as a result with essential gray scale limit amount.
Then, describe gray scale correction circuit 19 in detail.In gray scale correction circuit 19, the suitable value of gray scale limit amount of using with the multidirectional image moving direction, the multidirectional image that obtain and move size, reach image is synthetic determination k as a result, carry out the gray scale correction of input picture, but multidirectional image moves size with the relation of gray scale restriction and carry out in Figure 12, method illustrated in fig. 13 the samely.
Figure 20 represents the concrete structure example of gray scale correction circuit 19.As shown in Figure 20, gray scale correction circuit 19 has totalizer 191, coding circuit 192, amount of movement input end 193, input end 194, subtracter 195, delay circuit 196～199, coefficient circuit 200～203 and coefficient control circuit 204.And, the previous detected amount of moving horizontally, vertical moving amount, 45 ° of amount of movements, 135 ° of amount of movements are input to coefficient control circuit 204 respectively, usage factor circuit 200～203 is obtained each coefficient value EA, EB, EC, ED respectively, come the signal of calculation process delay circuit 196～199 according to coefficient value, supply with totalizer 191 then and form the error diffusion ring.
Also have, in structure shown in Figure 20, the switching to the gray-scale Control of gray-scale value of the picture signal of input is that the signal according to 193 inputs of amount of movement input end carries out, and carries out in the coding circuit that is coded in gray scale correction circuit 19 192 shown in Figure 13 in addition.
Like this, the picture signal of input moves size according to image and correspondingly limits grey, and supplies with display device, suitably to suppress the generation of the empty profile of dynamic image.Simultaneously, owing to constitute the error diffusion ring, therefore can guarantee the gray-scale value of equivalence.Also have, if improve the inhibition effect of the empty profile of dynamic image, and the qualification that strengthens the grey in the dynamic image part then feels to handle the more image quality reduction that causes of interference that produces because of error diffusion.Therefore, the present invention comes the departure coefficient of diffusion according to the image moving direction, to suppress the decline of the image quality when the gray scale restriction is big.
Figure 21 is the key diagram of general error diffusion coefficient.Figure 21 is illustrated in that pixel P carries out gray scale restriction and the situation of on every side four pixel A of the difference dispensing of input signal that will be at that time when showing and shows signal, B, C, D.Figure 22 represents the numerical example of the reality of partition factor EA, EB, EC, ED.According to Figure 22 as can be known, it is very little and when in fact not producing the empty profile of dynamic image, as still image, the value of coefficient value EA, EB, EC, ED is respectively the value of [7], [1], [5], [3] with image to move size at image.Also have, because the error diffusion coefficient value is the coefficient of error distribution originally, so summation should be [1], but for convenience, represents with 16 times value.
Also have, if image is not a still image, and when assigned direction moves, then according to Figure 22, the value of update coefficients value EA, EB, EC, ED.[still image] part in addition of Figure 22 is illustrated in each coefficient that each image moving direction is set.Among the figure, the coefficient value when expression has to a certain degree image to move, in fact, according to the size that image moves, respective settings is a value continuous or segmentation.
Figure 23 is the key diagram of this situation, is the conceptual schematic view about the establishing method of coefficient EA.Promptly control like this, make when being still image, coefficient EA is set at [7], but image moves and become big, for example when the horizontal direction of the pixel of picture has image to move, move size according to image, coefficient value EA maximum is set at [10], in addition, and when the image moving direction is the pixel vertical direction of picture, move size according to image, coefficient value EA is reduced to [0] gradually from [7].In addition, when image moves oblique direction into picture, control equally, make it become [3] gradually from [7].
Figure 24 is the key diagram of this situation, represents the relation that angle θ shown in Figure 22 and image move.Among Figure 24, be when the direction that is angle θ with level has image to move, establish image and move size and be m, move with the vector representation image.
Moving pictorial Fig. 5 of value that corresponding coefficient value EA can obtain with Figure 23 interpolation with such image obtains.Figure 25 is the value that expression is carried out interpolation with the numerical value of expressing to the point beyond the numerical value shown in Figure 23 on every side, angle θ=0 expression picture horizontal direction.In addition, the coefficient value of the top of Figure 25 (direction vertical) expression each point with the bottom surface.In Figure 25, the value of some P is suitable with the some P among Figure 24, and its coefficient value is represented with EA.
Make its continuous variation owing to set coefficient value like this, therefore value, image moving direction, image when the coefficient value of error diffusion can be according to still image move size correspondingly to be changed continuously, can move size and Orientation according to image and carry out the gray scale correction glossily, carry out the inhibition of the empty profile of good dynamic image and good error diffusion action.
Also have, other coefficient, for example coefficient value EB can represent in enough transfers shown in Figure 26, it can be carried out interpolation, and represent as Figure 27.For the transition diagram of coefficient value EC, ED too, can represent with Figure 28, Figure 29 respectively.In addition, though not shown, also can the use figure the same for coefficient value EC, ED with Figure 25 or Figure 27, represent the interpolation notion of coefficient value.
According to aforesaid present embodiment, in the grey scale display unit that uses the son field, be to use image to move size and moving direction, implement to comprise the control of gray scale correction and the signal Processing that error diffusion is controlled, can realize that the inhibition of the empty profile of dynamic image and good gray scale show.
Also have, in the above description, relatively strengthened error diffusion coefficient in the direction parallel with the image moving direction.This is because following image in sight line moves and follow the tracks of under the situation of the object on the picture, considers that on observer's retina the luminous quantity of a plurality of pixels carries out [visual fusion].Promptly, thinking that with a plurality of pixel energies that image moves on the parallel direction expression is similarly moved with a pixel equivalently, between such pixel, the same error is arranged as far as possible, by reduce like this to pixel that [visual fusion] be difficult to take place, promptly with the propagated error of the pixel of the direction of image moving orthogonal, can suppress the interference sense that increases along with error diffusion.
In addition, in the present embodiment, illustrated the example that linear scaling distributes has been pressed in the interpolation of coefficient value, but can certainly be the curve interpolating that utilizes higher order functionality to carry out, or used other continuous function.In addition, be to move size according to image, enumerated the example that divides several sections to control gray-scale value, but this hop count is not limited to above-mentioned example.And then, also can not carry out the control of grey, a departure coefficient of diffusion as special example.In addition, the error diffusion coefficient that illustrates with present embodiment is not limited to illustrated error diffusion coefficient, if according to the image moving direction, utilizes the characteristic of syncretizing effect visually, can obtain same effect certainly.
As above explanation is such, according to the present invention, owing to the gradient detecting unit that detects the gradient of gray-scale value in picture of pixel in the image that is included in input; In the image of above-mentioned input, detect the time change-detection unit of the gray-scale value of pixel with respect to the intensity of variation of time; The image that detects input according to the output of the output of above-mentioned gradient detecting unit and above-mentioned time change-detection unit moves the unit of size and image moving direction; And the luminance weighted signal correction unit that the picture signal of input is revised and shown that moves size and image moving direction and above-mentioned son field according to the image of above-mentioned detection, therefore can come the detected image moving direction according to image gradient, the generation of the empty profile of prediction dynamic image, so can carry out the gray scale correction more accurately, can suppress the empty profile of dynamic image, and can guarantee that the image of good gamma characteristic shows.
According to the present invention, can move and gradient with the image that simple structure detects the part of the empty profile of easy generation dynamic image, can suppress the empty profile of dynamic image thus and realize preferable image display, can improve the display quality of the grey scale display unit that uses the son field.
Industrial practicality
According to the present invention described above, can detect with simple structure the section of the empty profile of easy generation dynamic image The image that divides moves and gradient, by corrected signal and show, can suppress the empty profile of dynamic image and realizes Good image shows, can improve the display quality of the grey scale display unit that uses subfield.
Claims (5)
1. a grey scale display unit is characterized in that,
Be to constitute a field duration and carry out gray scale gray-scale displayed display device by its a plurality of sons field by luminance weighted a plurality of sons field with regulation,
Be included in the gradient detecting unit that detects the gradient of gray-scale value in picture of pixel in the image of input; In the image of described input, detect the time change-detection unit with respect to the intensity of variation of time of the gray-scale value of pixel; The image that detects described input according to the output of the output of described gradient detecting unit and described time change-detection unit moves the unit of size and image moving direction; And move size and image moving direction, and the luminance weighted signal correction unit that the picture signal of importing is revised and shown of described son according to the image of described detection.
2. a grey scale display unit is characterized in that,
Be to constitute a field duration and carry out gray scale gray-scale displayed display device by its a plurality of sons field by luminance weighted a plurality of sons field with regulation,
Be included in the smoothness detecting unit of the smooth degree of the gray-scale value that detects pixel in the image of input; In the image of described input, detect the gradient detecting unit of the gradient of gray-scale value in picture of pixel; In the image of described input, detect the time change-detection unit with respect to the intensity of variation of time of the gray-scale value of pixel; The image that detects described input according to the output of the output of described gradient detecting unit and described time change-detection unit moves the unit of size and image moving direction; And the luminance weighted signal correction unit that the picture signal of input is revised and shown that moves size and image moving direction and described son field according to the image of described detection.
3. grey scale display unit as claimed in claim 1 or 2 is characterized in that,
Be to constitute like this, the image moving direction is divided into the horizontal direction component for it and the vertical direction component detects, and carries out signal correction according to gradient magnitude and image being moved the value that size conversion becomes gradient direction to obtain.
4. grey scale display unit as claimed in claim 1 or 2 is characterized in that,
The signal correction unit be revise input picture gray-scale value control and carry out the control of error diffusion.
5. grey scale display unit as claimed in claim 4 is characterized in that,
The signal correction unit is controlled, and to move the gray-scale value that size is revised input picture according to image, comes the signal Processing of departure diffusion simultaneously according to the image moving direction.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102222479A (en) * | 2010-04-16 | 2011-10-19 | 乐金显示有限公司 | Apparatus and method for driving image display apparatus |
| CN111667563A (en) * | 2020-06-19 | 2020-09-15 | 北京字节跳动网络技术有限公司 | Image processing method, device, equipment and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| JP2898798B2 (en) * | 1991-07-17 | 1999-06-02 | 日本放送協会 | Motion vector detection device by gradient method |
| WO1998044479A1 (en) * | 1997-03-31 | 1998-10-08 | Matsushita Electric Industrial Co., Ltd. | Dynamic image display method and device therefor |
| DE69841390D1 (en) * | 1997-07-24 | 2010-01-28 | Panasonic Corp | Image display device and image evaluation device |
| JP2994633B2 (en) * | 1997-12-10 | 1999-12-27 | 松下電器産業株式会社 | Pseudo-contour noise detection device and display device using the same |
| JP2000163004A (en) * | 1998-11-30 | 2000-06-16 | Matsushita Electric Ind Co Ltd | Halftone display method for display device |
| WO2000043979A1 (en) * | 1999-01-22 | 2000-07-27 | Matsushita Electric Industrial Co., Ltd. | Apparatus and method for making a gray scale display with subframes |
| JP2001042819A (en) * | 1999-07-29 | 2001-02-16 | Matsushita Electric Ind Co Ltd | Method and device for gradation display |
| JP2002366112A (en) * | 2001-06-07 | 2002-12-20 | Hitachi Ltd | Liquid crystal driving device and liquid crystal display device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102222479A (en) * | 2010-04-16 | 2011-10-19 | 乐金显示有限公司 | Apparatus and method for driving image display apparatus |
| CN102222479B (en) * | 2010-04-16 | 2013-07-03 | 乐金显示有限公司 | Apparatus and method for driving image display apparatus |
| US8659617B2 (en) | 2010-04-16 | 2014-02-25 | Lg Display Co., Ltd. | Apparatus and method for driving image display apparatus |
| CN111667563A (en) * | 2020-06-19 | 2020-09-15 | 北京字节跳动网络技术有限公司 | Image processing method, device, equipment and storage medium |
| CN111667563B (en) * | 2020-06-19 | 2023-04-07 | 抖音视界有限公司 | Image processing method, device, equipment and storage medium |
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