CN101340600B - Video noise evaluation system and method - Google Patents
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Abstract
The invention discloses an image noise evaluating system and an evaluating method thereof, which are used for evaluating the noise of current images, wherein, a storage device stores the former image of the current images; a multi-windowed noise evaluating device carries out noise evaluation on areas of the current images and on the corresponding area of the former image; a noise evaluating index and a noise adjustment evaluating index which are corresponding to the windows are output; a comparing device is used for comparing multiple noise adjustment evaluating indexes, choosing the minimum value thereof and outputting a window index at the same time; the window index works as the window of the minimum noise adjustment evaluating index. When the minimum noise adjustment evaluating index is smaller than a critical value, a detecting device which can move in whole domain outputs the noise evaluating index which is corresponding to the minimum noise adjustment evaluating index as a noise evaluating value of the current image.
Description
Technical field
The present invention relates to image technology field, particularly a kind of video noise evaluation system and method.
Background technology
The TV signal generation noise that is interfered easily in transmission course, in order to reduce interference of noise, display apparatus side generally can comprise noise reduction process.Yet,, all may produce different processing side effects no matter be the noise reduction mode of spatial domain or the noise reduction mode of time-domain.Generally speaking, preferable noise reduction mode is to analyze the noise level of input image earlier, carries out the noise reduction process of varying strength again according to different noise levels.
U.S. Pat 5,844,627 disclose a space noise reduction (spatial noise reduction) method, and the composition of first analysis space frequency is again to may being that the frequency band of noise contribution constrains.Yet the method for space noise reduction can't be distinguished noise contribution and the video composition in the space fully, is easy to generate the fuzzy side effect of video.U.S. Pat 6,259,489 disclose a time noise reduction (temporal noise reduction) method, utilization is when static image, suppose that noise belongs to dereferenced (uncorrelated) on time shaft and mean value is zero, then can be the imaging point of different time the same space position, along with time shaft averages, can reach the variation value (variance) that reduces noise, produce video than low noise intensity.Yet, though the mode of temporal noise reduction can reach on static image and not lose spatial resolution and carry out noise reduction, but the method must cooperate the part that has moving object to take place in the detection video, just can avoid improperly that the sampling point of different spatial is average and motion blur or ghost that produce.
Generally speaking, when noise level was big, the audience was relatively also bigger for the permission because of side effect that noise reduction causes, when noise level was little, the audience diminished relatively for the permission because of side effect that noise reduction causes.For fear of using strong noise reduction filtering method and produced unacceptable flaw in the little vision signal of noise, or in the big vision signal of noise, use too small noise reduction filtering method and cause noise reduction degree deficiency, so measure the noise level in the incoming video signal accurately, by using suitable noise reduction filtering intensity, can reach noise reduction process effect preferably.
In order to measure the noise level in the incoming video signal, U.S. Pat 5,657,401 bulletins utilize absolute value and (sum of temporal absolute difference) and one group of critical value comparison of temporal difference.When this absolute value and falling within the critical value up and down of this group critical value, then an accumulator is added one, and statistics whether drop on this interval number of pixels in a predefined interval identical with a desired value, if difference then adjusts this group critical value, and come noise level size in the reflecting video signal by this critical value.Yet,,, make and must utilize predefined desired value of counting to be difficult for determining that the measurement of noise level also is vulnerable to the influence that motion is counted in the image because these regional motion ratios are inequality if having the zone of motion in the image.
At the problems referred to above, U.S. Pat 6,307,888 bulletin utilizations had been carried out the information of locomotion evaluation (motionestimation), signal is divided into static block and dynamic block, respectively and the block (dynamically) of correspondence position (static state) or corresponding motion compensation carry out computing (as the absolute value of difference and), obtain the noise assessed value of static blocks and the dynamic noise assessed value of block respectively, the noise assessed value of mixing both to the end again.But such mode must could be carried out correct estimation to the noise level of dynamic block based on moltion estimation technology accurately.Yet, do not comprise the function of carrying out moltion estimation and compensation in the general television display system.
During U.S. Pat 2006/0221252 is open then the size distribution of the absolute difference on analysis time convert a characteristic value and ideal distribution conversion to characteristic value relatively, this reservation of noise level that determines this image to obtain is still abandoned.Different movement degrees generally can influence difference and distribute, yet, the motion that may occur varying number in the video is counted and is produced the run duration differences of different sizes, thereby the distribution that causes absolute difference gradually change along with the difference of motion, increased the degree of difficulty of the critical value setting that final decision keeps or give up.Hence one can see that, and existing video noise evaluation system and method still have the space of improvement.
Summary of the invention
A main purpose of the present invention is to provide a kind of video noise evaluation system and method, is used to get rid of the bigger noise assessed value of difference, thereby avoids the noise assessment result to be subjected to the influence of the motion of universe in the image and over-evaluated.
Another object of the present invention is to provide a kind of video noise evaluation system and method, can when image has motion to take place, increase the otherness of noise assessed value, reduce the susceptibility of motion critical value and sub-image geofence.
According to a main purpose of the present invention, the present invention proposes a kind of video noise evaluation system, be used for a current image is carried out the noise assessment, this system comprises a storage device, a plurality of visual window type noise apparatus for evaluating, a comparison means and a universe motion detection device.Last image of the described current image of described storage device stores; Described a plurality of visual window type noise apparatus for evaluating is connected to described storage device respectively, be used for the noise assessment is carried out in the corresponding region of described current image and described last image, and an output noise evaluation index and corresponding with described form adjusted the noise evaluation index respectively; Described comparison means is connected to described a plurality of visual window type noise apparatus for evaluating, be used for more a plurality of described adjustment noise evaluation indexes and choose minimum value output, export a form index (window index) simultaneously, described form index is the described minimum form of adjusting the noise evaluation index; Described universe motion detection device is connected to described a plurality of visual window type noise apparatus for evaluating and described comparison means, when described minimum is adjusted the noise evaluation index less than a critical value, output and the described minimum corresponding described noise evaluation index of noise evaluation index of adjusting are as the noise assessed value of described current image.
Described each visual window type noise apparatus for evaluating comprises: first noise estimator, distribution calculation element, trust value generation device and multiplier;
Described first noise estimator is connected to described storage device, is used for the noise assessment is carried out in the corresponding region of described current image and described last image, and exports described noise evaluation index;
Described distribution calculation element, be connected to described first noise estimator, the sign that is used for calculating the imagery zone pixel value that described current image and described last image contain at described visual window type noise apparatus for evaluating distributes, and exports a positive sign number and a negative sign number;
This distribution calculation element comprises: first comparator, first counter, second comparator and second counter;
Described first comparator, a first input end receive described pixel value P
N(i, j), one second input receives described pixel value P
N-1(i, j), as described pixel value P
N(i is j) greater than described pixel value P
N-1(i in the time of j), exports one first triggering signal; And
Described first counter is connected to described first comparator, according to described first triggering signal counting, exports described positive sign number;
Described second comparator, a first input end receive described pixel value P
N(i, j), one second input receives described pixel value P
N-1(i, j), as described pixel value P
N(i is j) less than described pixel value P
N-1(i in the time of j), exports one second triggering signal; And
Described second counter is connected to described second comparator, according to described second triggering signal counting, exports described negative sign number;
Described trust value generation device is connected to described distribution calculation element, is used for exporting a trust value according to described positive sign number and described negative sign number; Described trust value is: 1+|No (+)-No (-) |/total_no, and in the formula, No (+) is described positive sign number, and No (-) is described negative sign number, and total_no is all pixel value numbers of the imagery zone contained of described visual window type noise apparatus for evaluating;
Described multiplier, be connected to described trust value generation device and described first noise estimator, first input end receives described noise evaluation index, and one second input receives described trust value, be used for described noise evaluation index and described trust value are multiplied each other, obtain described adjustment noise evaluation index.
Described universe motion detection device is further used for exporting a mark when described minimum is adjusted the noise evaluation index more than or equal to described critical value, is used to represent that the noise assessed value of described current image is subjected to the influence of universe motion.
Described noise evaluation index is:
In the formula, i, j are the imagery zone that described visual window type noise apparatus for evaluating is contained, P
N(i, the j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described current image, P
N-1(i, j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described last image.
According to another object of the present invention, the present invention proposes a kind of image noise appraisal procedure, and a current image is carried out the noise assessment, and this method comprises the following step: a storing step stores last image of described current image; A plurality of visual window type noise appraisal procedures, each visual window type noise appraisal procedure is carried out the noise assessment to the corresponding region of described current image and described last image respectively, and an output noise evaluation index and corresponding with described form adjusted the noise evaluation index respectively; One comparison step, more described a plurality of adjustment noise evaluation indexes are also chosen minimum value output, export a form index simultaneously, and described form index is the described minimum form of adjusting the noise evaluation index; One universe moves the detection step, when described minimum is adjusted the noise evaluation index less than a critical value, output and the described minimum corresponding described noise evaluation index of noise evaluation index of adjusting, noise assessed value as described current image, when described minimum is adjusted the noise evaluation index more than or equal to described critical value, export a mark, represent that the noise assessed value of described current image is subjected to the influence of universe motion.
This distribution calculation procedure specifically comprises: one first comparison step, and as described pixel value P
N(i is j) greater than described pixel value P
N-1(i in the time of j), exports one first triggering signal; One first counting step according to described first triggering signal counting, is exported described positive sign number; One second comparison step is as described pixel value P
N(i is j) less than described pixel value P
N-1(i in the time of j), exports one second triggering signal; And one second counting step, according to described second triggering signal counting, export described negative sign number;
Described trust value is: 1+|No (+)-No (-) |/total_no, and in the formula, No (+) is described positive sign number, and No (-) is described negative sign number, and total_no is all pixel value numbers of the imagery zone contained of described visual window type noise apparatus for evaluating;
Description of drawings
Fig. 1 is the structural representation of video noise evaluation system of the present invention
Fig. 2 is the corresponding region schematic diagram of visual window type noise apparatus for evaluating of the present invention and current image and last image.
Fig. 3 is the structural representation of visual window type noise apparatus for evaluating of the present invention.
Fig. 4 is the distribute structural representation of calculation element of the present invention.
Label declaration in the accompanying drawing
A plurality of visual window type noise apparatus for evaluating 120
Comparison means 130
Universe motion detection device 140
Trust value generation device 330
Embodiment
Fig. 1 is the structural representation of video noise evaluation system of the present invention, be used for a current image is carried out the noise assessment, this system comprises a storage device 110, a plurality of visual window type noise apparatus for evaluating 120, a comparison means 130, reaches a universe motion detection device 140.Wherein, storage device 110 stores current image F[n] last image F[n-1].
A plurality of visual window type noise apparatus for evaluating 120 are connected to storage device 110, be used for current image F[n] and last image F[n-1] the corresponding region carry out the noise assessment, an and output noise evaluation index noise_index and an adjustment noise evaluation index adj_noise_index corresponding with form.
Fig. 2 is the corresponding region schematic diagram of visual window type noise apparatus for evaluating of the present invention and current image and last image.Wherein, the first visual window type noise apparatus for evaluating, 121 corresponding current image F[n] and last image F[n-1] zone 1, the second visual window type noise apparatus for evaluating, 122 corresponding current image F[n] and last image F[n-1] zone 2, the rest may be inferred.In the present embodiment, use five visual window type noise apparatus for evaluating 120, only be for convenience of description and for embodiment, the interest field that the present invention advocated should be as the criterion so that the patent application scope is described, but not only limits to the foregoing description.
Fig. 3 is the structural representation of visual window type noise apparatus for evaluating of the present invention, and each visual window type noise apparatus for evaluating comprises one first noise estimator 310, a distribution calculation element 320, a trust value generation device 330 and a multiplier 340.
In the formula, i, j are the imagery zone that visual window type noise apparatus for evaluating is contained, P
N(i is j) for current image F[n] pixel value of the imagery zone contained at visual window type noise apparatus for evaluating, P
N-1(i is j) for last image F[n-1] pixel value of the imagery zone contained at visual window type noise apparatus for evaluating.For example, in the first visual window type noise apparatus for evaluating 121, i, j are zone 1 imagery zone of containing among Fig. 2, P
N(i j) is current image F[n] at zone 1 pixel value, P
N-1(i j) is last image F[n-1] at zone 1 pixel value.Zone in other visual window type noise apparatus for evaluating and corresponding relation can the rest may be inferred.
Fig. 4 is the distribute structural representation of calculation element of the present invention, and distribution calculation element 320 comprises one first comparator 410, one first counter 420, one second comparator 430, one second counter 440.
The first input end of first comparator 410 receives pixel value P
N(i, j), second input receives pixel value P
N-1(i, j), as pixel value P
N(i is j) greater than pixel value P
N-1(i in the time of j), exports the first triggering signal trigger1.First counter 420 is connected to first comparator 410, according to first triggering signal trigger1 counting, and output positive sign number N o (+).
The first input end of second comparator 430 receives pixel value P
N(i, j), second input receives pixel value P
N-1(i, j), as pixel value P
N(i is j) less than pixel value P
N-1(i in the time of j), exports the second triggering signal trigger2.Second counter 440 is connected to second comparator 430, according to second triggering signal trigger2 counting, and output negative sign number N o (-).
Trust value generation device 330 is connected to distribution calculation element 320, according to positive sign number N o (+) and negative sign number N o (-) output one trust value conf.Trust value conf is:
1+|No(+)-No(-)|/total_no，
In the formula, No (+) is the positive sign number, and No (-) is the negative sign number, and total_no is all pixel value numbers of the imagery zone contained of visual window type noise apparatus for evaluating.For instance, in the first visual window type noise apparatus for evaluating 121, total_no is the pixel value number of zone 1 imagery zone of containing among Fig. 2.
With reference to Fig. 1, comparison means 130 is connected to a plurality of visual window type noise apparatus for evaluating 120, a plurality of adjustment noise evaluation index adj_noise_index1～adj_noise_index5 are compared and therefrom choose minimum value (min_adj_noise_index) output, export a form index (window_index) simultaneously, the form index is the minimum form of adjusting the noise evaluation index.
Universe motion detection device 140 is connected to a plurality of visual window type noise apparatus for evaluating 120 and comparison means 130, when minimum is adjusted noise evaluation index min_adj_noise_index less than a critical value Th, output and the minimum corresponding noise evaluation index noise_index of noise evaluation index that adjusts are as the noise assessed value of current image.That is, for instance, when adj_noise_index1 for hour, comparison means 130 is adjusted noise evaluation index min_adj_noise_index and output with adj_noise_index1 as minimum, at this moment, universe motion detection device 140 output noise_index1 are as the noise assessed value of current image.When minimum is adjusted the noise evaluation index more than or equal to this critical value Th, export a mark (flag), be used to represent that the noise assessed value of current image is subjected to the influence of universe motion.
When trust value conf was 1, expression positive sign number N o (+) equaled negative sign number N o (-).If when in the zone 2 of the second visual window type noise apparatus for evaluating, 122 correspondences mobile (motion) being arranged, the positive sign number N o (+) of output will be greater than negative sign number N o (-) or less than negative sign number N o (-), this moment, trust value conf was greater than 1, the adj_noise_index2 that will cause the second visual window type noise apparatus for evaluating, 122 correspondences increases, therefore, the probability that comparison means 130 is chosen the noise_index2 of the second visual window type noise apparatus for evaluating, 122 correspondences reduces, can avoid the dynamic image zone selected like this, thereby improve the accuracy of noise assessment.
The present invention is by choosing most sub-image regional extents in the imagery zone, for the temporal difference of calculated for pixel values in each sub-image regional extent, the sign of analyzing difference simultaneously distributes, thereby calculate a trust value, be used to reflect that difference is not subjected to the degree of motion effects, the reflection difference is not subjected to the confidence index of motion effects high more, and difference is big more from the possibility that noise produces, confidence index is low more, and then difference is big more from the possibility that motion produces.Confidence index according to each sub-image regional extent gives this different weighted value of noise evaluation index that sub-image regional extent calculates, the noise evaluation index after each sub-image regional extent weight and choose minimum value does not relatively then carry out noise evaluation index before weight is adjusted as the noise assessed value of this current imagery zone with the sub-image regional extent of minimum value correspondence.
The present invention is based on imagery zone is distinguished into different sub-image regional extents, add up the noise evaluation index of each sub-image regional extent respectively, because general noise evaluation index comprises the composition that noise produces and motion produces, in same signal, sub-image regional extent noise evaluation index is more little, reflects that the The noise degree is more little.But in this statistical, how need to consider the size of chooser imagery zone scope.Generally speaking, the sub-image regional extent is more little, can make the probability that moves in the scope of statistics low more, and but then, too little sub-image regional extent can make the too compartmentalization of evaluation index of noise again, can't reflect the noise level in overall image zone.In addition, select except considering the sub-image regional extent, also need consider contingent universe motion (moving) as camera lens, if the universe motion takes place, a result and a motion critical value that noise assessment mode of the present invention just still needs each sub-image regional extent is obtained compare, to get rid of the bigger noise assessed value of difference, avoid the noise assessment result to be subjected to the influence of universe motion and over-evaluate.For the less situation of sub-image regional extent, though be not easy the influence of being moved for the calculating of difference in the scope, because number of sampling is less, the variance ratio of noise level estimation is bigger.
Utilization of the present invention has the noise evaluation index of the sub-image regional extent statistics of minimal difference, noise assessed value as a whole, add and consider to analyze the possibility that motion takes place, utilize this possibility that the noise evaluation index is added different weights, can be when having motion to take place, increase the otherness of noise assessed value, reduce the susceptibility of motion critical value and sub-image geofence.
The foregoing description only is to give an example for convenience of description, and the interest field that the present invention advocated should be as the criterion so that the patent application scope is described, but not only limits to the foregoing description.
Claims (5)
1. a video noise evaluation system is used for a current image is carried out the noise assessment, it is characterized in that this system comprises:
One storage device is used to store last image of described current image;
A plurality of visual window type noise apparatus for evaluating, be connected to described storage device respectively, be used for the noise assessment is carried out in the corresponding region of described current image and described last image, and an output noise evaluation index and corresponding with described form adjusted the noise evaluation index respectively;
One comparison means is connected to described a plurality of visual window type noise apparatus for evaluating, is used for more a plurality of described adjustment noise evaluation indexes and chooses minimum value output, exports a form index simultaneously, and described form index is the described minimum form of adjusting the noise evaluation index; And
One universe motion detection device, be connected to described a plurality of visual window type noise apparatus for evaluating and described comparison means, when described minimum is adjusted the noise evaluation index less than a critical value, output and the described minimum corresponding described noise evaluation index of noise evaluation index of adjusting are as the noise assessed value of described current image;
Described each visual window type noise apparatus for evaluating comprises: first noise estimator, distribution calculation element, trust value generation device and multiplier;
Described first noise estimator is connected to described storage device, is used for the noise assessment is carried out in the corresponding region of described current image and described last image, and exports described noise evaluation index;
Described distribution calculation element, be connected to described first noise estimator, the sign that is used for calculating the imagery zone pixel value that described current image and described last image contain at described visual window type noise apparatus for evaluating distributes, and exports a positive sign number and a negative sign number;
This distribution calculation element comprises: first comparator, first counter, second comparator and second counter;
Described first comparator, a first input end receive described pixel value P
N(i, j), one second input receives described pixel value P
N-1(i, j), as described pixel value P
N(i is j) greater than described pixel value P
N-1(i in the time of j), exports one first triggering signal; Wherein, i, j are the imagery zone that described visual window type noise apparatus for evaluating is contained, P
N(i, the j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described current image, P
N-1(i, j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described last image; And
Described first counter is connected to described first comparator, according to described first triggering signal counting, exports described positive sign number;
Described second comparator, a first input end receive described pixel value P
N(i, j), one second input receives described pixel value P
N-1(i, j), as described pixel value P
N(i is j) less than described pixel value P
N-1(i in the time of j), exports one second triggering signal; And
Described second counter is connected to described second comparator, according to described second triggering signal counting, exports described negative sign number;
Described trust value generation device is connected to described distribution calculation element, is used for exporting a trust value according to described positive sign number and described negative sign number; Described trust value is: 1+|No (+)-No (-) |/total_no, and in the formula, No (+) is described positive sign number, and No (-) is described negative sign number, and total_no is all pixel value numbers of the imagery zone contained of described visual window type noise apparatus for evaluating;
Described multiplier, be connected to described trust value generation device and described first noise estimator, first input end receives described noise evaluation index, and one second input receives described trust value, be used for described noise evaluation index and described trust value are multiplied each other, obtain described adjustment noise evaluation index.
2. video noise evaluation system as claimed in claim 1, it is characterized in that, described universe motion detection device is further used for when described minimum is adjusted the noise evaluation index more than or equal to described critical value, export a mark, be used to represent that the noise assessed value of described current image is subjected to the influence of universe motion.
3. video noise evaluation system as claimed in claim 1 is characterized in that, described noise evaluation index is:
4. an image noise appraisal procedure is used for a current image is carried out the noise assessment, it is characterized in that this method comprises the following step:
One storing step stores last image of described current image;
A plurality of visual window type noise appraisal procedures, each visual window type noise appraisal procedure is carried out the noise assessment to the corresponding region of described current image and described last image respectively, and an output noise evaluation index and corresponding with described form adjusted the noise evaluation index respectively;
One comparison step, more a plurality of described adjustment noise evaluation indexes are also chosen minimum value output, export a form index simultaneously, and described form index is the described minimum form of adjusting the noise evaluation index; And
One universe moves the detection step, when described minimum is adjusted the noise evaluation index less than a critical value, output and the described minimum corresponding described noise evaluation index of noise evaluation index of adjusting, noise assessed value as described current image, when described minimum is adjusted the noise evaluation index more than or equal to described critical value, export a mark, represent that the noise assessed value of described current image is subjected to the influence of universe motion;
Described each visual window type noise appraisal procedure comprises:
One noise appraisal procedure is carried out the noise assessment to the corresponding region of described current image and described last image, and is exported described noise evaluation index;
One distribution calculation procedure, the sign of calculating described current image and described last image pixel value in the imagery zone that described visual window type noise apparatus for evaluating is contained distributes, and exports a positive sign number and a negative sign number; This distribution calculation procedure specifically comprises: one first comparison step, and as described pixel value P
N(i is j) greater than described pixel value P
N-1(i in the time of j), exports one first triggering signal; One first counting step according to described first triggering signal counting, is exported described positive sign number; One second comparison step is as described pixel value P
N(i is j) less than described pixel value P
N-1(i in the time of j), exports one second triggering signal; And one second counting step, according to described second triggering signal counting, export described negative sign number;
Wherein, i, j are the imagery zone that described visual window type noise apparatus for evaluating is contained, P
N(i, the j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described current image, P
N-1(i, j) pixel value of the imagery zone of containing at described visual window type noise apparatus for evaluating for described last image;
One trust value produces step, exports a trust value according to described positive sign number and described negative sign number; Described trust value is: 1+|No (+)-No (-) |/total_no, and in the formula, No (+) is described positive sign number, and No (-) is described negative sign number, and total_no is all pixel value numbers of the imagery zone contained of described visual window type noise apparatus for evaluating; And
One multiplication step is multiplied by described trust value with described noise evaluation index, obtains described adjustment noise evaluation index.
5. image noise appraisal procedure as claimed in claim 4 is characterized in that, described noise evaluation index (SAD) is:
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN1419680A (en) * | 2001-01-26 | 2003-05-21 | 皇家菲利浦电子有限公司 | Spatio-temporal filter unit and image display apparatus comprising such a spatio-temporal filter unit |
| CN1781459A (en) * | 2004-12-01 | 2006-06-07 | Ge医疗系统环球技术有限公司 | Dose evaluating method and X-ray CT apparatus |
| CN1867040A (en) * | 2005-05-19 | 2006-11-22 | 晨星半导体股份有限公司 | Noise reduction method |
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| CN1419680A (en) * | 2001-01-26 | 2003-05-21 | 皇家菲利浦电子有限公司 | Spatio-temporal filter unit and image display apparatus comprising such a spatio-temporal filter unit |
| CN1781459A (en) * | 2004-12-01 | 2006-06-07 | Ge医疗系统环球技术有限公司 | Dose evaluating method and X-ray CT apparatus |
| CN1867040A (en) * | 2005-05-19 | 2006-11-22 | 晨星半导体股份有限公司 | Noise reduction method |
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