CN103152513A - Image processing method and relative image processing device - Google Patents
Image processing method and relative image processing device Download PDFInfo
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- CN103152513A CN103152513A CN2011104020763A CN201110402076A CN103152513A CN 103152513 A CN103152513 A CN 103152513A CN 2011104020763 A CN2011104020763 A CN 2011104020763A CN 201110402076 A CN201110402076 A CN 201110402076A CN 103152513 A CN103152513 A CN 103152513A
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Abstract
Provided are an image processing method and a relative image processing device. The image processing method comprises receiving a plurality of image frames; receiving a definition signal, wherein the definition signal is used for showing definition of the plurality of image frames; and carrying out noise removal processing on the plurality of image frames according to the definition signal, wherein the degree of the noise removal processing carried out on the plurality of image frames can change according to a grade of the definition shown by the definition signal.
Description
Technical field
The present invention is relevant for a kind of image processing method, the levels of sharpness of a plurality of picture frames of espespecially a kind of foundation and change image processing method and the relevant image processing apparatus that these a plurality of picture frames carry out the degree of noise Processing for removing.
Background technology
Because TV signal can decay and be interfered in the process of transmission, therefore, receiver in TV can carry out the noise Processing for removing to received TV signal, for example noise in time domain is eliminated (temporal noise reduction), the interpolation (interpolation) when spatial noise is eliminated (spatial noise reduction), release of an interleave (de-interlacing), the clear-cut margin degree is adjusted ... etc., to improve the quality that shows image.Yet, although use above-mentioned noise Processing for removing can improve the quality that shows image, but in some cases, when for example the signal of TV signal is very weak, continue to use the noise Processing for removing of same degree may cause minus effect, that is the view data after the noise Processing for removing on the contrary can be more unintelligible.
Summary of the invention
Therefore, one of purpose of the present invention is to provide a kind of image processing method and relevant image processing apparatus, and it can change according to the levels of sharpness of a plurality of picture frames the degree that these a plurality of picture frames carry out the noise Processing for removing, to solve the above problems.
According to one embodiment of the invention, a kind of image processing method comprises: receive a plurality of picture frames; Receive a sharpness signal, wherein this sharpness signal is in order to represent the definition of these a plurality of picture frames; And according to this sharpness signal, these a plurality of picture frames are carried out the noise Processing for removing, wherein these a plurality of picture frames degree of carrying out the noise Processing for removing can the levels of sharpness represented according to this sharpness signal change.
According to another embodiment of the present invention, a kind of image processing apparatus comprises a video decoder and an image control unit, and wherein this video decoder is in order to receive a vision signal and this vision signal is carried out decoding to produce a plurality of picture frames; This image control unit is coupled to this video decoder, and in order to receive a sharpness signal and this a plurality of picture frames, and according to this sharpness signal so that these a plurality of picture frames are carried out the noise Processing for removing, wherein this sharpness signal is in order to representing the definition of these a plurality of picture frames, and the degree that these a plurality of picture frames carry out the noise Processing for removing can the levels of sharpness represented according to this sharpness signal change.
According to another embodiment of the present invention, a kind of image processing method comprises: receive a plurality of picture frames; Receive a sharpness signal; Judge the levels of sharpness of these a plurality of picture frames according to this sharpness signal; When the represented definition of this sharpness signal is a first estate, with one first noise Processing for removing mode, these a plurality of picture frames are carried out the noise Processing for removing; And when the represented definition of this sharpness signal is second grade, with one second noise Processing for removing mode, these a plurality of picture frames are carried out the noise Processing for removing; Wherein this first noise Processing for removing mode degree that these a plurality of picture frames are carried out the noise Processing for removing is different from this second noise Processing for removing mode.
Description of drawings
Fig. 1 is the schematic diagram of receiver according to an embodiment of the invention.
Fig. 2 is the flow chart according to the image processing method of first embodiment of the invention.
Fig. 3 is the schematic diagram of two random degree windows.
Fig. 4 is the flow chart according to the image processing method of second embodiment of the invention.
Fig. 5 is for carrying out the schematic diagram that noise in time domain is eliminated to a picture frame.
Fig. 6 is the flow chart according to the image processing method of third embodiment of the invention.
Fig. 7 is the flow chart according to the image processing method of fourth embodiment of the invention.
Fig. 8 is the flow chart according to the image processing method of fifth embodiment of the invention.
Fig. 9 is the schematic diagram of a 3*3 spatial filter.
Figure 10 is the flow chart according to the image processing method of sixth embodiment of the invention.
Figure 11 determines the schematic diagram of an output parameter when being typical coring (coring) operation.
Figure 12 is according to the schematic diagram of a combined implementation example of image processing method of the present invention.
The primary clustering symbol description
Embodiment
Please refer to Fig. 1, Fig. 1 is the schematic diagram of receiver 100 according to an embodiment of the invention.As shown in Figure 1, receiver 100 comprises a tuner 110 and an image processing apparatus 120, wherein image processing apparatus 120 comprises a frequency demultiplier 122, a video decoder 124 and an image control unit 130, and wherein image control unit 130 comprises that at least a time domain noise is eliminated unit 132, a spatial noise is eliminated unit 134, a saturation adjustment unit 136 and an edge sharpness adjustment unit 138.In the present embodiment, receiver 100 is a television receiver, and it is used for receiving the television video signal, and the television video signal is carried out be shown on video screen after the operations such as frequency reducing, decoding and Image Adjusting.
In the operation of receiver 100, at first, tuner 110 can be by antenna reception to a radiofrequency vision signal V
RF, and with radiofrequency vision signal V
RFGain adjust and the frequency reducing operation after, to produce an if video signal V
IFThen, frequency demultiplier 122 is with if video signal V
IFFrequency reducing is a fundamental frequency vision signal V
in, and video decoder 124 is with fundamental frequency vision signal V
inDecoding is to produce a plurality of picture frame F
NThen, the noise in time domain in image control unit 130 eliminate unit 132, spatial noise eliminate unit 134, saturation adjustment unit 136 and clear-cut margin degree adjustment unit 138 can be according to a sharpness signal Vs with to a plurality of picture frame F
NCarry out the noise Processing for removing, to produce picture frame F after a plurality of adjustment
N', and picture frame F after adjusting
N' again via just being shown on screen after back-end processing.
In the operation of image control unit 130, decide a plurality of picture frame F according to sharpness signal Vs
NCarry out the degree of noise Processing for removing, wherein sharpness signal Vs is in order to represent a plurality of picture frame F
NDefinition.For instance, because tuner 110 can be according to received radiofrequency vision signal V
RFPower decide its yield value, that is as radiofrequency vision signal V
RFIntensity when very weak (not fogging clear), tuner 110 can have higher yield value to strengthen radiofrequency vision signal V
RFIntensity, otherwise if radiofrequency vision signal V
RFIntensity when very strong (image is more clear), the yield value of tuner 110 can be lower, therefore, the yield value of tuner 110 can be as sharpness signal Vs; In addition, video decoder 124 is at decoding fundamental frequency vision signal V
inThe time horizontal edge (porch) signal or the vertical edge signal corresponding to the picture frame in these a plurality of picture frames that produce can also be used as sharpness signal Vs, because when this horizontal edge signal or the amplitude of this vertical edge signal is when higher, represent fundamental frequency vision signal V
inIntensity weak (image is more unintelligible), otherwise when this horizontal edge signal or the amplitude of this vertical edge signal hang down, represent fundamental frequency vision signal V
inIntensity strong (image is more clear).Moreover, image control unit 130 itself also can be according to present or previous received picture frame, be used as sharpness signal Vs to calculate a random degree value, know usually that because the method for computed image unrest degree value should be to have in field of the present invention the knowledgeable knows, therefore do not repeat them here.
In addition, in the present invention, the noise in time domain in image control unit 130 is eliminated unit 132, spatial noise is eliminated unit 134, saturation adjustment unit 136 and clear-cut margin degree adjustment unit 138 for a plurality of picture frame F
NProcessing sequence and be not construed as limiting, that is the designer can consider to decide in its sole discretion a plurality of picture frame F according to design
NEliminated the processing sequence of unit 132, spatial noise elimination unit 134, saturation adjustment unit 136 and clear-cut margin degree adjustment unit 138 by noise in time domain.In addition, image control unit 130 also can be carried out the noise Processing for removing of other kind, for example release of an interleave (de-interlacing) interpolation (interpolation) etc. in addition.
Below will illustrate that how image control unit 130 is according to being used for representing a plurality of picture frame F for a plurality of embodiment
NThe sharpness signal Vs of levels of sharpness, to determine a plurality of picture frame F
NCarry out the degree of noise Processing for removing.
Please also refer to Fig. 1 and Fig. 2, Fig. 2 is the flow chart of the image processing method of one first embodiment according to the present invention.In step 200, image control unit 130 reception definition signal Vs, wherein, sharpness signal Vs is from outside input, in order to represent a plurality of picture frame F
NDefinition.Then, in step 202, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs is a first estate, flow process enters step 204 to use one first random degree window (mad window) to calculate corresponding to a plurality of picture frame F
NA random degree value of random degree, and export this unrest degree value to back-end circuit and process; And if the represented definition of sharpness signal Vs is when being second grade, flow process enters step 206 to calculate corresponding to a plurality of picture frame F with one second random degree window
NA random degree value of random degree, and export this unrest degree value to back-end circuit and process, wherein the definition of this first estate representative is lower than the definition of this second grade representative, and the size of this first random degree window is less than the size of this second random degree window.
Illustrate the step 202 of Fig. 2, please refer to the schematic diagram of two random degree windows shown in Figure 3.Figure 3 shows that a 3*3 unrest degree window and a 1*3 unrest degree window, when calculating the random degree value of an object pixel P2_2 in a picture frame with 3*3 unrest degree window, its account form is with pixel value P2_2 and the absolute value addition of the difference of eight neighbors on every side, calculating the random degree value corresponding to object pixel P2_2, and do similar calculating to obtain the random degree value of whole picture frame for each pixel of picture frame more afterwards; And when calculating the random degree value of an object pixel P1_2 in a picture frame with 1*3 unrest degree window, its account form is with pixel value P1_2 and the absolute value addition of the difference of two neighbors on every side, calculating the random degree value corresponding to object pixel P1_2, and do similar calculating to obtain the random degree value of whole picture frame for each pixel of picture frame more afterwards.The account form of random degree value as previously discussed, when the picture frame that calculates is same, the random degree value of using random degree value that 3*3 unrest degree window calculates to calculate greater than use 1*3 unrest degree window.Therefore, in step 202, if a plurality of picture frame F
NDefinition when higher, calculate a plurality of picture frame F with 3*3 unrest degree window
NRandom degree value, and if a plurality of picture frame F
NWhen having relatively poor definition, calculate a plurality of picture frame F with the less 1*3 unrest degree window of size
NRandom degree value.
Owing to working as a plurality of picture frame F
NWhen having relatively poor definition, can calculate a plurality of picture frame F with the less 1*3 unrest degree window of size
NRandom degree value, therefore, the random degree value that calculates in fact can be by forcing down deliberately.Thus, just can think a plurality of picture frame F at the graphics processing unit of rear end
NRandom degree so not high, and do not carry out too many noise Processing for removing.In other words, that is as a plurality of picture frame F
NWhen having relatively poor definition, deliberately reduce the random degree value that calculates, with allow the rear end graphics processing unit (for example noise in time domain eliminate unit 132, spatial noise eliminate unit 134 ... etc.) reduce the degree of carrying out the noise Processing for removing, to avoid using identical noise Processing for removing may cause the problem of minus effect to unsharp picture frame described in prior art.
Please also refer to Fig. 1 and Fig. 4, Fig. 4 is the flow chart according to the image processing method of second embodiment of the invention.In step 400, image control unit 130 reception definition signal Vs, wherein sharpness signal Vs is in order to represent a plurality of picture frame F
NDefinition.Then, in step 402, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs was a first estate, flow process entered step 404, and if the represented definition of sharpness signal Vs when being second grade, flow process enters step 406.In step 404, for a plurality of picture frame F
NIn a particular image frame, noise in time domain eliminate unit 132 use one first group of weight with the pixel value in this particular image frame and a plurality of contiguous frames thereof is weighted obtained mutually one adjust after particular image frame; And in step 406, for this particular image frame, noise in time domain elimination unit 132 uses one second group of weight that the pixel value in this particular image frame and a plurality of contiguous frames thereof is weighted and is obtained mutually the rear particular image frame of this adjustment, and wherein this first group of weighted is in this second group of weight.
Specifically, please refer to Fig. 5, Fig. 5 is for carrying out the schematic diagram that noise in time domain is eliminated to a picture frame.As shown in Figure 5, eliminate unit 132 wishs to picture frame F when the time domain noise
mCarry out noise in time domain and eliminate to produce a rear picture frame F of adjustment
M_newThe time, noise in time domain is eliminated unit 132 can be respectively with picture frame F
m-1, F
m, F
m+1In have same position the pixel value weighting summation, with picture frame F after produce adjusting
M_new, that is for picture frame F after adjusting
M_newIn a pixel, its pixel value P
newAccount form as follows:
P
new=K1*P
m-1+ K2*P
m+ K3*P
m+1, P wherein
m-1, P
m, P
m+1Be respectively picture frame F
m-1, F
m, F
m+1In with adjust after picture frame F
M_newIn the pixel value of this pixel with pixel of same position, and K1, K2, K3 are respectively corresponding to picture frame F
m-1, F
m, F
m+1Weight.Therefore, in step 402, as a plurality of picture frame F
NDefinition when better, weight K1, K2, K3 can be set as respectively 0.1,0.8,0.1, that is weight K2 can be established higher; And as a plurality of picture frame F
NDefinition when better, weight K1, K2, K3 can be set as respectively 0.2,0.6,0.2, that is weight K2 can be established lower.
Owing to generally can cause the phenomenon of smear (smear) when carrying out the noise in time domain elimination, therefore, in the present embodiment, as a plurality of picture frame F
NDefinition when better, can reduce the degree (that is improving weight K2) of carrying out noise in time domain and eliminating, therefore can really improve the problem of smear.
In addition, the pixel value P in above-mentioned formula
m-1, P
m, P
m+1Can be brightness value or chroma value.
In addition, should be noted picture frame F after above-mentioned calculating adjustment
M_newFormula and the quantity of contiguous frames be only an example explanation, and be not as restriction of the present invention, as long as can be according to a plurality of picture frame F corresponding to the weight of at least a portion of this particular image frame and a plurality of contiguous frames thereof
NLevels of sharpness and change, relevant design variation all should belong to category of the present invention.
Please also refer to Fig. 1 and Fig. 6, Fig. 6 is the flow chart according to the image processing method of third embodiment of the invention.In step 600, image control unit 130 reception definition signal Vs, wherein sharpness signal Vs is in order to represent a plurality of picture frame F
NDefinition.Then, in step 602, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs is a first estate, flow process enters step 604 to use one first saturated adjustment mode to a plurality of picture frame F
NCarry out the saturation adjustment; And if the represented definition of sharpness signal Vs is when being second grade, flow process enters step 604 to use one second saturated adjustment mode to a plurality of picture frame F
NCarry out the saturation adjustment.
Specifically, as a plurality of picture frame F
NWhen having better definition, saturation adjustment unit 136 can use the larger saturation of saturation adjustment amount to adjust mode, adjusts a plurality of picture frame F
NSaturation; And as a plurality of picture frame F
NWhen having relatively poor definition, saturation adjustment unit 136 can use the less saturation of saturation adjustment amount to adjust mode, adjusts a plurality of picture frame F
NSaturation.In other words, that is as a plurality of picture frame F
NDefinition poor the time, reduce the saturation adjustment amount, to avoid the make an uproar generation of (color noise) of coloured silk as far as possible.
Please also refer to Fig. 1 and Fig. 7, Fig. 7 is the flow chart according to the image processing method of fourth embodiment of the invention.In step 700, image control unit 130 reception definition signal Vs, wherein sharpness signal Vs is in order to represent a plurality of picture frame F
NDefinition.Then, in step 702, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs was a first estate, flow process entered step 704, to come a plurality of picture frame F with one first release of an interleave processing mode
NCarrying out release of an interleave (de-interlacing) processes; And if the represented definition of sharpness signal Vs is when being second grade, flow process enters step 706, to come a plurality of picture frame F with one second release of an interleave processing mode
NCarry out release of an interleave and process, wherein, this first release of an interleave processing mode is different from this second release of an interleave processing mode.
Specifically, due to traditionally when carrying out the release of an interleave processing, can't directly odd number figure field (odd field) and even number figure field (even field) directly be merged as a picture frame, but can carry out intrafield interpolation (intra-field interpolation) or between interpolation (inter-field interpolation) avoid image the zigzag picture to occur to improve picture quality, yet, as a plurality of picture frame F
NDefinition when very poor, use intrafield interpolation or between interpolation might cause on the contrary image more unclear.Therefore, in the present embodiment, as a plurality of picture frame F
NDefinition when better, use this first release of an interleave processing mode; And as a plurality of picture frame F
NDefinition when relatively poor, use this second release of an interleave processing mode, or these a plurality of picture frames are not carried out interpolation between intrafield interpolation or field, wherein this first release of an interleave processing mode and this second release of an interleave processing mode use different intrafield interpolations or between the interpolation account form, and use this second release of an interleave to process the pixel value that pixel value in the picture frame that calculates can relatively approach odd number figure field and the even number figure field of script.
As mentioned above, owing to working as a plurality of picture frame F
NDefinition when relatively poor, image control unit 130 can be used weak release of an interleave interpolation or not carry out interpolation, therefore, can avoid causing on the contrary the more unclear situation of image after the release of an interleave interpolation.
Please also refer to Fig. 1 and Fig. 8, Fig. 8 is the flow chart according to the image processing method of fifth embodiment of the invention.In step 800, image control unit 130 reception definition signal Vs, wherein sharpness signal Vs is in order to represent the definition of a plurality of picture frame FN.Then, in step 802, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs is a first estate, flow process enters step 804 to come a plurality of picture frame F with one first spatial filter
NCarry out the noise Processing for removing; And if the represented definition of sharpness signal Vs is when being second grade, flow process enters step 806 to come a plurality of picture frame F with a second space filter
NCarry out the noise Processing for removing, wherein have at least the coefficient of a part to be different from coefficient in this second space filter in this first spatial filter.
Specifically, please refer to Fig. 9, Fig. 9 is the schematic diagram of a 3*3 spatial filter.As shown in Figure 9, the 3*3 spatial filter includes nine COEFFICIENT K 11～K33, these nine COEFFICIENT K 11～K33 are used as the weight of a center pixel and eight surrounding pixels thereof, usually know that owing to how to utilize the 3*3 spatial filter that one center pixel is adjusted into to have in field of the present invention as pixel value the knowledgeable knows, therefore account form does not repeat them here in detail.In the present embodiment, as a plurality of picture frame F
NDefinition when better, spatial noise is eliminated unit 134 and can be used these first spatial filters so that these a plurality of picture frames are carried out the noise Processing for removing; And as a plurality of picture frame F
NDefinition when relatively poor, spatial noise is eliminated unit 134 and can be used this second space filter so that these a plurality of picture frames are carried out the noise Processing for removing, wherein in this first spatial filter corresponding to the weight of a center pixel higher than in this second space filter corresponding to the weight of this center pixel, that is the weight K22 of this first spatial filter can be greater than the weight K22 of this second space filter.
The simple conclusion is in the embodiment of Fig. 8, as a plurality of picture frame F
NWhen having better definition, spatial noise is eliminated unit 134 can reduce the degree that noise is eliminated; And as a plurality of picture frame F
NWhen having relatively poor definition, spatial noise is eliminated unit 134 can add the degree that very noisy is eliminated.
Please also refer to Fig. 1 and Figure 10, Figure 10 is the flow chart according to the image processing method of sixth embodiment of the invention.In step 1000, image control unit 130 reception definition signal Vs, wherein, sharpness signal Vs is in order to represent a plurality of picture frame F
NDefinition.Then, in step 1002, image control unit 130 judges a plurality of picture frame F according to sharpness signal Vs
NLevels of sharpness, if when the represented definition of sharpness signal Vs is a first estate, flow process enters step 1004 to operate to a plurality of picture frame F with one first coring
NCarry out the adjustment of clear-cut margin degree; And if the represented definition of sharpness signal Vs is when being second grade, flow process enters step 1006 to operate to a plurality of picture frame F with one second coring
NCarry out the adjustment of clear-cut margin degree.
Specifically, please refer to Figure 11, Figure 11 determines the schematic diagram of an output parameter khp when being a typical coring operation.How below lift an example explanation utilizes coring to operate to adjust the pixel value (but being not as restriction of the present invention) of a picture frame: for each pixel of picture frame medium-high frequency part (that is the edge part in image), find out corresponding output parameter khp according to its pixel value from the diagram of Figure 11, calculate pixel value after adjustment according to following formula more afterwards:
P’＝P+P*khp，
Wherein P ' is the pixel value after adjusting, and P is original pixel value.
Should be noted, above-mentioned formula is only that the coring operation is described, and is not as restriction of the present invention.As mentioned above, when the original pixel value of picture frame medium-high frequency part was positioned at coring scope (coring range), the value of output parameter khp was 0, that is the pixel value of this pixel does not adjust.
And in the embodiment shown in fig. 10, as a plurality of picture frame F
NDefinition when better, the coring scope smaller (for example coring scope is pixel value 0～20) of the coring operation that clear-cut margin degree adjustment unit 138 uses, and the slope of the oblique line shown in the 11st figure is also larger; And as a plurality of picture frame F
NDefinition when relatively poor, the coring scope larger (for example coring scope is pixel value 0～40) of the coring operation that clear-cut margin degree adjustment unit 138 uses, and the slope of the oblique line shown in the 11st figure is understood smaller.The simple conclusion is in the embodiment of Figure 10, as a plurality of picture frame F
NWhen having better definition, clear-cut margin degree adjustment unit 138 can add the degree that very noisy is eliminated (adjustment of clear-cut margin degree); And as a plurality of picture frame F
NWhen having relatively poor definition, clear-cut margin degree adjustment unit 138 can reduce the degree that noise is eliminated (adjustment of clear-cut margin degree).
Please refer to Figure 12, Figure 12 is the schematic diagram of image processing method one combined implementation example of the present invention.As shown in figure 12, when the represented definition of sharpness signal Vs was higher, the random degree window that image control unit 130 use are larger calculated that random degree value, weak noise in time domain are eliminated, higher saturation adjustment amount is adjusted saturation, stronger release of an interleave interpolation, weak spatial noise are eliminated and stronger clear-cut margin degree adjustment; When the represented definition of sharpness signal Vs when being medium, the medium sized random degree window of image control unit 130 use calculates that the noise in time domain of random degree value, moderate strength is eliminated, the saturation adjustment amount of moderate strength is adjusted the release of an interleave interpolation of saturation, moderate strength, moderate strength spatial noise is eliminated and the clear-cut margin degree adjustment of moderate strength; When the represented definition of sharpness signal Vs is low, the random degree window that image control unit 130 use are less calculates that random degree value, stronger noise in time domain are eliminated, lower saturation adjustment amount is adjusted saturation, weak release of an interleave interpolation, stronger spatial noise is eliminated and a little less than the adjustment of clear-cut margin degree; And when the represented definition of sharpness signal Vs was very low, the random degree window that image control unit 130 use are very little calculated that random degree value, very strong noise in time domain are eliminated, very low saturation adjustment amount is adjusted saturation, very weak release of an interleave interpolation, very strong spatial noise are eliminated and very weak clear-cut margin degree adjustment.
Concise and to the point conclusion the present invention, at image processing method of the present invention and relevant image processing apparatus, it can be according to the levels of sharpness of a plurality of picture frames and dynamically changes the degree that these a plurality of picture frames carry out the noise Processing for removing, thus, these a plurality of picture frames can carry out optimal noise Processing for removing, obtaining best picture quality, and the view data that does not have after the noise Processing for removing described in prior art on the contrary can more unsharp situation.
The above is only the preferred embodiments of the present invention, and all equalizations of making according to the present patent application the scope of the claims change and revise, and all should belong to covering scope of the present invention.
Claims (38)
1. image processing method comprises:
Receive a plurality of picture frames;
Receive a sharpness signal; And
According to described sharpness signal, described a plurality of picture frames are carried out the noise Processing for removing;
Wherein, described sharpness signal is in order to representing the definition of described a plurality of picture frames, and the degree that described a plurality of picture frames carry out the noise Processing for removing can the levels of sharpness represented according to described sharpness signal be changed.
2. image processing method according to claim 1, wherein, described sharpness signal is a yield value of a tuner, and the described yield value of described tuner is in order to adjusting the intensity of a vision signal, and described a plurality of picture frame is to produce according to described vision signal.
3. image processing method according to claim 1, wherein said sharpness signal is a horizontal edge signal or the vertical edge signal corresponding to a picture frame in described a plurality of picture frames.
4. image processing method according to claim 1 separately includes:
Calculate a random degree value with as described signal.
5. image processing method according to claim 1 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
When the represented definition of described sharpness signal is a first estate, calculate a random degree value corresponding to the random degree of described a plurality of picture frames with one first random degree window; And
When the represented definition of described sharpness signal is second grade, calculate described random degree value corresponding to the random degree of described a plurality of picture frames with one second random degree window;
Wherein, the definition of described the first estate representative is lower than the definition of described the second grade representative, and the size of the described first random degree window is less than the size of the described second random degree window.
6. image processing method according to claim 1, wherein, described a plurality of picture frames include a particular image frame, according to described signal, the step that described a plurality of picture frames carry out the noise Processing for removing are comprised:
To the pixel value in described particular image frame and a plurality of contiguous frames thereof be weighted obtained mutually one adjust after particular image frame, wherein the weight corresponding at least a portion of described particular image frame and a plurality of contiguous frames thereof can the levels of sharpness represented according to described sharpness signal change.
7. image processing method according to claim 6 wherein, is weighted a plurality of pixel values in described particular image frame and a plurality of contiguous frames thereof and is obtained mutually that the step of particular image frame comprises after described adjustment:
When the represented definition of described sharpness signal is a first estate, uses one first group of weight that a plurality of pixel values described in described particular image frame and a plurality of contiguous frames thereof are weighted and obtained mutually particular image frame after described adjustment; And
When the represented definition of described sharpness signal is second grade, uses one second group of weight that a plurality of pixel values described in described particular image frame and a plurality of contiguous frames thereof are weighted and obtained mutually particular image frame after described adjustment;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and in described first group of weight corresponding to the weight of described particular image frame higher than in described second group of weight corresponding to the weight of described particular image frame.
8. image processing method according to claim 6, wherein, described in described particular image frame and a plurality of contiguous frames thereof, a plurality of pixel values are respectively a plurality of brightness values.
9. image processing method according to claim 6, wherein, described in described particular image frame and a plurality of contiguous frames thereof, a plurality of pixel values are respectively a plurality of chroma values.
10. image processing method according to claim 1 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
According to described sharpness signal, described a plurality of picture frames are carried out the saturation adjustment, the degree that wherein said a plurality of picture frames are carried out the saturation adjustment can the levels of sharpness represented according to described sharpness signal change.
11. image processing method according to claim 10 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
When the represented definition of described sharpness signal is a first estate, adjust the saturation of described a plurality of picture frames with one first saturation adjustment mode; And
When the represented definition of described sharpness signal is second grade, adjust the saturation of described a plurality of picture frames with one second saturation adjustment mode;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and the saturation adjustment amount that described the second saturation adjustment mode is used adjusts less than described the first saturation the saturation adjustment amount that mode is used.
12. image processing method according to claim 1 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
According to described sharpness signal, described a plurality of picture frames are carried out release of an interleave and process, the account form that wherein said a plurality of picture frames are carried out the release of an interleave processing can the levels of sharpness represented according to described sharpness signal change.
13. image processing method according to claim 12 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
When the represented definition of described sharpness signal is a first estate, with one first release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process; And
When the represented definition of described sharpness signal is second grade, with one second release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and described the first release of an interleave processing mode is used different intrafield interpolation account forms from described the second release of an interleave processing mode.
14. image processing method according to claim 12 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
When the represented definition of described sharpness signal is a first estate, with one first release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process; And
When the represented definition of described sharpness signal is second grade, with one second release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and described the first release of an interleave processing mode is used the intrafield interpolation account form, and described the second release of an interleave processing mode is not carried out intrafield interpolation to described a plurality of picture frames.
15. image processing method according to claim 1 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
Use a spatial filter so that described a plurality of picture frames are carried out the noise Processing for removing according to described sharpness signal, in wherein said spatial filter, the coefficient of at least a portion can the levels of sharpness represented according to described sharpness signal change.
16. image processing method according to claim 15, wherein, according to described sharpness signal to use described spatial filter to comprise with the step that described a plurality of picture frames are carried out the noise Processing for removing:
When the represented definition of described sharpness signal is a first estate, use one first spatial filter so that described a plurality of picture frames are carried out the noise Processing for removing; And
When the represented definition of described sharpness signal is second grade, use a second space filter so that described a plurality of picture frames are carried out the noise Processing for removing;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and in described the first spatial filter corresponding to the weight of a center pixel higher than in described second space filter corresponding to the weight of described center pixel.
17. image processing method according to claim 1 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
According to described sharpness signal, described a plurality of picture frames are carried out the adjustment of clear-cut margin degree, wherein, the degree that described a plurality of picture frames are carried out the adjustment of clear-cut margin degree can the levels of sharpness represented according to described sharpness signal change.
18. image processing method according to claim 17 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
According to described sharpness signal, described a plurality of picture frames are carried out a coring operation, wherein, the coring scope that described a plurality of picture frames use when being carried out described coring operation can the levels of sharpness represented according to described sharpness signal change.
19. image processing method according to claim 18 wherein, comprises the step that described a plurality of picture frames carry out the noise Processing for removing according to described sharpness signal:
When the represented definition of described sharpness signal is a first estate, according to one first coring scope, described a plurality of picture frames are carried out described coring operation; And
When the represented definition of described sharpness signal is second grade, according to one second coring scope, described a plurality of picture frames are carried out described coring operation;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and described the first coring scope is less than described the second coring scope.
20. an image processing apparatus comprises:
One video decoder is in order to receive a vision signal and described vision signal is carried out decoding to produce a plurality of picture frames; And
One image control unit, be coupled to described video decoder, in order to receive a sharpness signal and described a plurality of picture frame, and according to described sharpness signal, described a plurality of picture frames are carried out the noise Processing for removing, wherein, described sharpness signal is in order to representing the definition of described a plurality of picture frames, and the degree that described a plurality of picture frame carries out the noise Processing for removing can the levels of sharpness represented according to described sharpness signal change.
21. image processing apparatus according to claim 20, wherein, described sharpness signal is a yield value of a tuner, and the described yield value of described tuner is in order to adjust the intensity of described vision signal.
22. image processing apparatus according to claim 20, wherein, described sharpness signal is a horizontal edge signal or the vertical edge signal corresponding to a picture frame in described a plurality of picture frames.
23. image processing apparatus according to claim 20, wherein, when the represented definition of described sharpness signal is a first estate, described image control unit is calculated a random degree value corresponding to the random degree of described a plurality of picture frames with one first random degree window, and when the represented definition of described sharpness signal is second grade, described image control unit is calculated described random degree value corresponding to the random degree of described a plurality of picture frames with one second random degree window, the definition of wherein said the first estate representative is lower than the definition of described the second grade representative, and the size of the described first random degree window is less than the size of the described second random degree window.
24. image processing apparatus according to claim 20, wherein, described a plurality of picture frame includes a particular image frame, and described image control unit to the pixel value in described particular image frame and a plurality of contiguous frames thereof be weighted obtained mutually one adjust after particular image frame, wherein the weight corresponding at least a portion of described particular image frame and a plurality of contiguous frames thereof can the levels of sharpness represented according to described sharpness signal change.
25. image processing apparatus according to claim 20, wherein, described image control unit is carried out the saturation adjustment according to described sharpness signal to described a plurality of picture frames, wherein, described a plurality of picture frame degree of being carried out the saturation adjustment can the levels of sharpness represented according to described sharpness signal change.
26. image processing apparatus according to claim 20, wherein, described image control unit is carried out release of an interleave according to described sharpness signal to described a plurality of picture frames and is processed, wherein, described a plurality of picture frame is carried out the account form that release of an interleave processes and can the levels of sharpness represented according to described sharpness signal changes.
27. image processing apparatus according to claim 20, wherein, described image control unit according to described sharpness signal to use a spatial filter so that described a plurality of picture frames are carried out the noise Processing for removing, wherein, in described spatial filter, the coefficient of at least a portion can the levels of sharpness represented according to described sharpness signal change.
28. image processing apparatus according to claim 20, wherein, described image control unit is carried out the adjustment of clear-cut margin degree according to described sharpness signal to described a plurality of picture frames, wherein, described a plurality of picture frame degree of being carried out the adjustment of clear-cut margin degree can the levels of sharpness represented according to described sharpness signal change.
29. an image processing method includes:
Receive a plurality of picture frames;
Receive a sharpness signal, wherein, described sharpness signal is in order to represent the definition of described a plurality of picture frames;
Levels of sharpness according to the described a plurality of picture frames of described sharpness signal judgement;
When the represented definition of described sharpness signal is a first estate, with one first noise Processing for removing mode, described a plurality of picture frames are carried out the noise Processing for removing; And
When the represented definition of described sharpness signal is second grade, with one second noise Processing for removing mode, described a plurality of picture frames are carried out the noise Processing for removing;
Wherein, described the first noise Processing for removing mode degree that described a plurality of picture frames are carried out the noise Processing for removing is different from described the second noise Processing for removing mode.
30. image processing method according to claim 29, wherein, described sharpness signal is a yield value of a tuner, and the described yield value of described tuner is in order to adjusting the intensity of a vision signal, and described a plurality of picture frame is to produce according to described vision signal.
31. image processing method according to claim 29, wherein, described sharpness signal is a horizontal edge signal or the vertical edge signal corresponding to a picture frame in described a plurality of picture frames.
32. image processing method according to claim 29 separately comprises:
Calculate a random degree value with as described signal.
33. image processing method according to claim 29, wherein, described the first noise Processing for removing mode and described the second noise Processing for removing mode comprise that at least one calculates the operation of random degree value, wherein:
When the represented definition of described sharpness signal is described the first estate, calculate a random degree value corresponding to the random degree of described a plurality of picture frames with one first random degree window; And
When the represented definition of described sharpness signal is described the second grade, calculate described random degree value corresponding to the random degree of described a plurality of picture frames with one second random degree window;
Wherein, the definition of described the first estate representative is lower than the definition of described the second grade representative, and the size of the described first random degree window is less than the size of the described second random degree window.
34. image processing method according to claim 29, wherein, described a plurality of picture frames include a particular image frame, and described the first noise Processing for removing mode and described the second noise Processing for removing mode comprise a time domain noise cancellation operation at least, wherein:
When the represented definition of described sharpness signal is described the first estate, use one first group of weight to be obtained mutually particular image frame after described adjustment so that a plurality of pixel values described in described particular image frame and a plurality of contiguous frames thereof are weighted; And
When the represented definition of described sharpness signal is described the second grade, use one second group of weight to be obtained mutually particular image frame after described adjustment so that a plurality of pixel values described in described particular image frame and a plurality of contiguous frames thereof are weighted;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and in described first group of weight corresponding to the weight of described particular image frame higher than in described second group of weight corresponding to the weight of described particular image frame.
35. image processing method according to claim 29, wherein said the first noise Processing for removing mode and described the second noise Processing for removing mode comprise a saturation adjusting operation at least, wherein:
When the represented definition of described sharpness signal is described the first estate, adjust the saturation of described a plurality of picture frames with one first saturation adjustment mode; And
When the represented definition of described sharpness signal is described the second grade, adjust the saturation of described a plurality of picture frames with one second saturation adjustment mode;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and the saturation adjustment amount that described the second saturation adjustment mode is used adjusts less than described the first saturation the saturation adjustment amount that mode is used.
36. image processing method according to claim 29, wherein, described the first noise Processing for removing mode and described the second noise Processing for removing mode comprise a release of an interleave processing at least, wherein:
When the represented definition of described sharpness signal is described the first estate, with one first release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process; And
When the represented definition of described sharpness signal is described the second grade, with one second release of an interleave processing mode, described a plurality of picture frames is carried out release of an interleave and process;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and described the first release of an interleave processing mode is used different intrafield interpolation account forms from described the second release of an interleave processing mode.
37. image processing method according to claim 29, wherein, described the first noise Processing for removing mode and described the second noise Processing for removing mode comprise a space filtering operation at least, wherein:
When the represented definition of described sharpness signal is described the first estate, use one first spatial filter so that described a plurality of picture frames are carried out the noise Processing for removing; And
When the represented definition of described sharpness signal is described the second grade, use a second space filter so that described a plurality of picture frames are carried out the noise Processing for removing;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and in described the first spatial filter corresponding to the weight of a center pixel higher than in described second space filter corresponding to the weight of described center pixel.
38. image processing method according to claim 29, wherein, described the first noise Processing for removing mode and described the second noise Processing for removing mode comprise a sharpness adjusting operation at least, wherein:
When the represented definition of described sharpness signal is described the first estate, according to one first coring scope, described a plurality of picture frames are carried out described coring operation; And
When the represented definition of described sharpness signal is described the second grade, according to one second coring scope, described a plurality of picture frames are carried out described coring operation;
Wherein, the definition of described the first estate representative is higher than the definition of described the second grade representative, and described the first coring scope is less than described the second coring scope.
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| CN1126920A (en) * | 1994-09-30 | 1996-07-17 | 三星电子株式会社 | Device for removing noise from pictur and improving clearness |
| JP2004236521A (en) * | 2003-02-04 | 2004-08-26 | Nippon Institute Of Technology | Super solar scarecrow |
| TW201039620A (en) * | 2009-04-28 | 2010-11-01 | Mstar Semiconductor Inc | Image processing apparatus and image processing method |
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| CN1126920A (en) * | 1994-09-30 | 1996-07-17 | 三星电子株式会社 | Device for removing noise from pictur and improving clearness |
| JP2004236521A (en) * | 2003-02-04 | 2004-08-26 | Nippon Institute Of Technology | Super solar scarecrow |
| TW201039620A (en) * | 2009-04-28 | 2010-11-01 | Mstar Semiconductor Inc | Image processing apparatus and image processing method |
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