CN104952042A - Image filtering method and image filtering device - Google Patents
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Abstract
The invention provides an image filtering method and an image filtering device. The image filtering method comprises the steps of dividing a to-be-processed image to a preset number of filtering blocks; determining a reference filtering block which matches a to-be-processed filtering block in the to-be-processed image, wherein the to-be-processed filtering block is a random filtering block in the to-be-processing filtering block; computing the motion intensity of the to-be-processed filtering block by means the reference filtering block after noise reduction, wherein the motion intensity represents the difference between the to-be-processed filtering block and the reference filtering block after noise reduction; when the motion intensity is larger than a threshold value, performing spatial domain filtering on the to-be-processed filtering block; and when the motion intensity is smaller than the threshold value, performing time domain filtering on the to-be-processed filtering block by means of the reference filtering block after noise reduction. The image filtering method and the image filtering device reduce a noise reduction processing difficulty and improve a noise reduction accuracy under a precondition that high image quality is ensured.
Description
Technical field
The application relates to technical field of image processing, relates to a kind of image filtering method and device in particular.
Background technology
Image may be subject to the interference of noise in the processes such as collection, transmission, and picture quality is reduced.Image filtering, namely refers to and to suppress the noise of image under the condition retaining image detail feature, be reduce picture noise, strengthen the important means of picture quality.
In prior art, image filtering method has two kinds usually: time-domain filtering and airspace filter, and time-domain filtering refers to the correlativity utilized between reference picture and pending image, utilizes the pixel of reference picture to reduce the noise in pending image; Airspace filter refers to by the correlativity in pending image between neighborhood pixels, uses neighborhood pixels to reduce the noise of object pixel.
But airspace filter mode just make use of the correlativity of image on spatial domain, filter effect, may the quality of effect diagram picture by certain restriction, and time-domain filtering mode utilizes reference picture to carry out noise reduction due to needs, adds the complexity of image noise reduction.
Summary of the invention
In view of this, this application provides a kind of image filtering method and device, improve image filtering effect, reduce the complexity of image noise reduction.
For achieving the above object, the application provides following technical scheme:
A kind of image filtering method, comprising:
Pending image is divided into the filter block of predetermined number;
Determine in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image;
Utilize the reference filtering block after noise reduction, calculate the exercise intensity of described pending filter block, wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
When described exercise intensity is greater than threshold value, airspace filter is carried out to described pending filter block;
When described exercise intensity is less than threshold value, utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
Preferably, describedly utilize the reference filtering block after noise reduction, the exercise intensity calculating described pending filter block comprises:
Utilize the reference filtering block after airspace filter, calculate the exercise intensity of described pending filter block.
Preferably, describedly determine in reference picture, the reference filtering block mated with the pending filter block in described pending image comprises:
Be divided into the filter block of described predetermined number with reference to image, and airspace filter is carried out to each filter block;
Determine in described reference picture, mate with the pending filter block in described pending image, and carry out the reference filtering block after airspace filter.
Preferably, the reference filtering block after airspace filter is carried out in described utilization, and the exercise intensity calculating described pending filter block comprises:
Described reference filtering block is carried out airspace filter;
Utilize the reference filtering block after carrying out airspace filter, calculate the exercise intensity of described pending filter block.
Preferably, described pending image and described reference picture are the picture frame in video image, and described reference picture is and an adjacent frame of described pending image or two two field pictures.
A kind of image filtering device, comprising:
Block divides module, for pending image being divided into the filter block of predetermined number;
Matching module, for determining in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image;
Strength co-mputation module, for utilizing the reference filtering block after noise reduction, calculates the exercise intensity of described pending filter block, and wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
First filtration module, for when described exercise intensity is greater than threshold value, carries out airspace filter to described pending filter block;
Second filtration module, for when described exercise intensity is less than threshold value, utilizes the reference filtering block of described noise reduction, carries out time-domain filtering to described pending filter block.
Preferably, described Strength co-mputation module specifically for utilizing the reference filtering block after airspace filter, calculates the exercise intensity of described pending filter block.
Preferably, described matching module comprises:
3rd filtration module, for being divided into the filter block of described predetermined number with reference to image, and carries out airspace filter to each filter block;
Matched sub-block, for determining in described reference picture, mates with the pending filter block in described pending image, and carries out the reference filtering block after airspace filter.
Preferably, described Strength co-mputation module comprises:
4th filtration module, for carrying out airspace filter by described reference filtering block;
Strength co-mputation submodule, for utilizing the reference filtering block after carrying out airspace filter, calculates the exercise intensity of described pending filter block.
Preferably, described pending image and described reference picture are the picture frame in video image, and described reference picture is and an adjacent frame of described pending image or two two field pictures.
Known via above-mentioned technical scheme, compared with prior art, this application provides a kind of image filtering method and device, after pending image being divided into the filter block of predetermined number, first determine in reference picture, the reference filtering block mated with pending filter block; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, according to different situations, comprehensive use airspace filter and time-domain filtering mode carry out image noise reduction, thus both can ensure the picture quality after noise reduction, can reduce again the complexity of image noise reduction process.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present application or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only the embodiment of the application, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to the accompanying drawing provided.
The process flow diagram of a kind of image filtering method embodiment that Fig. 1 provides for the embodiment of the present application;
The process flow diagram of a kind of another embodiment of image filtering method that Fig. 2 provides for the embodiment of the present application;
The process flow diagram of a kind of another embodiment of image filtering method that Fig. 3 provides for the embodiment of the present application;
The structural representation of a kind of image filtering device embodiment that Fig. 4 provides for the embodiment of the present application;
The structural representation of a kind of another embodiment of image filtering device that Fig. 5 provides for the embodiment of the present application;
The structural representation of a kind of another embodiment of image filtering device that Fig. 6 provides for the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, be clearly and completely described the technical scheme in the embodiment of the present application, obviously, described embodiment is only some embodiments of the present application, instead of whole embodiments.Based on the embodiment in the application, those of ordinary skill in the art are not making the every other embodiment obtained under creative work prerequisite, all belong to the scope of the application's protection.
In the embodiment of the present application, after pending image being divided into the filter block of predetermined number, first determine in reference picture, the reference filtering block mated with pending filter block; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, according to different situations, comprehensive use airspace filter and time-domain filtering mode carry out image noise reduction, thus both can ensure the picture quality after noise reduction, can reduce again the complexity of image noise reduction.And utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
The process flow diagram of a kind of image filtering method embodiment that Fig. 1 provides for the embodiment of the present application, described method can comprise following step:
101: the filter block pending image being divided into predetermined number.
When carrying out image filtering, be block image being divided into non-overlapping copies, i.e. filter block, carries out filtering in units of filter block.
102: determine in reference picture, the reference filtering block mated with the pending filter block in described pending image.
Wherein, described pending filter block is arbitrary filter block in described pending image.
Reference picture is the image with pending image similarity, in video image, this reference picture can refer in the previous frame image adjacent with pending image and a rear two field picture one or two.
Owing to being carry out filtering in units of filter block, pending filtering refers to any one filter block not carrying out filtering in pending image.
The reference filtering block mated with pending filter block in reference picture can refer to the parts of images with described pending filter block respective range region in reference picture, such as the image of m every trade pixel and n row row pixel, pending filter block is the parts of images that in pending image, xth row ~ xth+6 every trade pixel and y arrange the ~ the y+6 row row pixel, then namely reference filtering block can refer to that in reference picture, xth row ~ xth+6 every trade pixel and y arrange the parts of images of the ~ the y+6 row row pixel.
Certainly, when particularly reference picture is not a two field picture, this reference filtering block also can be determined according to certain matching principle, this matching principle defines the similarity degree of reference filtering block and pending filter block, therefore can according to matching principle, search in a reference image, to obtain the reference filtering block meeting matching principle.
103: utilize the reference filtering block after noise reduction, calculate the exercise intensity of described pending filter block, wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction.
104: when described exercise intensity is greater than threshold value, airspace filter is carried out to described pending filter block.
105: when described exercise intensity is less than threshold value, utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
In the embodiment of the present application, to the noise reduction process of pending filter block, adopt airspace filter or time-domain filtering, can determine according to the exercise intensity of pending filter block.
Exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction, therefore when diversity factor is larger, then can carry out airspace filter to pending filter block, avoid adopting time-domain filtering not only can not significantly improve picture quality, also add the complexity of algorithm; And when diversity factor is less, then can carry out time-domain filtering to pending filter block, thus make sample time domain filtering to improve picture quality further.
Diversity factor size is determined by the comparative result of exercise intensity and threshold value, when exercise intensity is greater than threshold value, shows that diversity factor is comparatively large, when exercise intensity is less than threshold value, shows that diversity factor is less.
When exercise intensity equals threshold value, airspace filter can be carried out to described pending filter block, or utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
Because reference picture also may exist larger noise, therefore in the embodiment of the present application, first carry out noise reduction with reference to filter block, be the reference filtering block after utilizing noise reduction, calculate the exercise intensity of pending filter block.Therefore can improve the accuracy in computation of exercise intensity, the accuracy of noise processed can be improved, reduce process errors.
In the present embodiment, after pending image being divided into the filter block of predetermined number, first determine in reference picture, the reference filtering block mated with pending filter block; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
Wherein, exercise intensity due to pending filter block represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction, the calculating of this exercise intensity has multiple possibility implementation, in a kind of possibility implementation, the exercise intensity of pending filter block can calculate in the following manner:
MAD represents exercise intensity, and M*N represents the size of the filter block of division, M and N is expressed as the quantity of row pixel and row pixel, c
ijrepresent the pixel in pending filter block, p
ijrepresent the pixel in the reference filtering block after noise reduction.
Wherein, threshold value can be determined according to the noise criteria difference of image.
The noise reduction process of reference picture can adopt multiple implementation, in a kind of possibility implementation, airspace filter mode can be utilized to carry out noise reduction process to this reference picture, to reduce the noise of reference picture, improve the picture quality of reference picture.
The process flow diagram of a kind of another embodiment of image filtering method that Fig. 2 provides for the embodiment of the present application, described method can comprise following step:
201: the filter block pending image being divided into predetermined number.
202: the filter block being divided into described predetermined number with reference to image, and airspace filter is carried out to each filter block.
203: determine in described reference picture, mate with the pending filter block in described pending image, and carry out the reference filtering block after airspace filter.
Wherein, described pending filter block is arbitrary filter block in described pending image.
204: utilize the reference filtering block after airspace filter, calculate the exercise intensity of described pending filter block, wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction.
205: when described exercise intensity is greater than threshold value, airspace filter is carried out to described pending filter block.
206: when described exercise intensity is less than threshold value, utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
In the present embodiment, be divided into the filter block of described predetermined number with reference to image equally, and all carry out noise reduction process to each filter block, in the present embodiment, concrete employing is airspace filter mode.From but carry out the filter block after airspace filter from reference picture, the filter block mated with pending filter block of selection.
Each filter block in advance with reference to image all carries out noise reduction process, to reduce the overall noise of reference picture, thus when carrying out pending image filtering, directly select the reference filtering block after the noise reduction of coupling, namely this reference filtering block is the filter block that picture quality is higher, thus the accuracy that pending filter block exercise intensity calculates, decrease process errors, improve picture quality further.
In the present embodiment, after pending image and reference picture are divided into the filter block of predetermined number respectively, and noise reduction process is carried out to each filter block of reference picture, to improve the picture quality of reference picture; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
The process flow diagram of a kind of another embodiment of image filtering method that Fig. 3 provides for the embodiment of the present application, described method can comprise following step:
301: the filter block pending image being divided into predetermined number.
302: determine in described reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image.
Reference picture can be divided into the filter block of predetermined number in advance.The parts of images of the respective range of mating with pending filter block also directly can searched in a reference image according to pending filter block is reference filtering block.
303: described reference filtering block is carried out airspace filter.
304: utilize the reference filtering block after carrying out airspace filter, calculate the exercise intensity of described pending filter block.
305: when described exercise intensity is greater than threshold value, airspace filter is carried out to described pending filter block.
306: when described exercise intensity is less than threshold value, utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
In the present embodiment, after determining the reference filtering block mated with pending filter block in reference picture, first this reference filtering block is carried out noise reduction process, concrete can be carry out airspace filter to this reference filtering block.Thus often pair of pending filter block is when carrying out noise reduction, first the reference filtering block matched is carried out airspace filter, to reduce the noise of reference filtering block, thus the accuracy of pending filter block exercise intensity calculating can be improved, decrease process errors, improve picture quality further.
Owing to may not be that full content all as with reference to filter block, after therefore determining reference filtering block, then can carry out to it complexity that filtering can reduce noise reduction in reference picture, reduce operation steps.
In the present embodiment, after pending image being divided into the filter block of predetermined number, first determine the reference filtering block mated with pending filter block in reference picture, and noise reduction process is carried out to this reference filtering block, to improve the picture quality of reference filtering block; Then the reference filtering block after this noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
The embodiment of the present application application scenarios is in actual applications be applicable to the noise reduction of video image, and pending image is the two field picture in video, and reference picture can be and an adjacent frame of described pending image or two two field pictures.
For aforesaid each embodiment of the method, in order to simple description, therefore it is all expressed as a series of combination of actions, but those skilled in the art should know, the application is not by the restriction of described sequence of movement, because according to the application, some step can adopt other orders or carry out simultaneously.Secondly, those skilled in the art also should know, the embodiment described in instructions all belongs to preferred embodiment, and involved action and module might not be that the application is necessary.
The structural representation of a kind of image filtering device embodiment that Fig. 4 provides for the embodiment of the present application, described device can comprise:
Block divides module 401, for pending image being divided into the filter block of predetermined number;
Matching module 402, for determining in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image;
Strength co-mputation module 403, for utilizing the reference filtering block after noise reduction, calculates the exercise intensity of described pending filter block, and wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
First filtration module 404, for when described exercise intensity is greater than threshold value, carries out airspace filter to described pending filter block;
Second filtration module 405, for when described exercise intensity is less than threshold value, utilizes the reference filtering block of described noise reduction, carries out time-domain filtering to described pending filter block.
Exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction, therefore when diversity factor is larger, then can carry out airspace filter to pending filter block, avoid adopting time-domain filtering not only can not significantly improve picture quality, also add the complexity of algorithm; And when diversity factor is less, then can carry out time-domain filtering to pending filter block, thus make sample time domain filtering to improve picture quality further.
Diversity factor size is determined by the comparative result of exercise intensity and threshold value, when exercise intensity is greater than threshold value, shows that diversity factor is comparatively large, when exercise intensity is less than threshold value, shows that diversity factor is less.
Because reference picture also may exist larger noise, therefore in the embodiment of the present application, first carry out noise reduction with reference to filter block, be the reference filtering block after utilizing noise reduction, calculate the exercise intensity of pending filter block.Therefore can improve the accuracy in computation of exercise intensity, the accuracy of noise processed can be improved, reduce process errors
In the present embodiment, after pending image being divided into the filter block of predetermined number, first determine in reference picture, the reference filtering block mated with pending filter block; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
Wherein, the calculating of exercise intensity has multiple possibility implementation, and in a kind of possibility implementation, the exercise intensity of pending filter block can calculate in the following manner:
MAD represents exercise intensity, and M*N represents the size of the filter block of division, M and N is respectively the value of row pixel and row pixel, c
ijrepresent the pixel in pending filter block, p
ijrepresent the pixel in the reference filtering block after noise reduction.
Wherein, threshold value can be determined according to the noise criteria difference of image.
The noise reduction process of reference picture can adopt multiple implementation, in a kind of possibility implementation, airspace filter mode can be utilized to carry out noise reduction process to this reference picture, to reduce the noise of reference picture, improve the picture quality of reference picture.
The structural representation of a kind of another embodiment of image filtering device that Fig. 5 provides for the embodiment of the present application, described device can comprise:
Block divides module 501, for pending image being divided into the filter block of predetermined number;
Matching module 502, for determining in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image.
Wherein, in the present embodiment, described matching module 502 can comprise:
3rd filtration module 5021, for being divided into the filter block of described predetermined number with reference to image, and carries out airspace filter to each filter block.
Matched sub-block 5022, for determining in described reference picture, mates with the pending filter block in described pending image, and carries out the reference filtering block after airspace filter.
Strength co-mputation module 503, for utilizing the reference filtering block after airspace filter, calculates the exercise intensity of described pending filter block, and wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
First filtration module 504, for when described exercise intensity is greater than threshold value, carries out airspace filter to described pending filter block;
Second filtration module 505, for when described exercise intensity is less than threshold value, utilizes the reference filtering block of described noise reduction, carries out time-domain filtering to described pending filter block.
In the present embodiment, each filter block in advance with reference to image all carries out noise reduction process, to reduce the overall noise of reference picture, thus when carrying out pending image filtering, directly select the reference filtering block after the noise reduction of coupling, namely this reference filtering block is the filter block that picture quality is higher, thus the accuracy that pending filter block exercise intensity calculates, decrease process errors, improve picture quality further.
In the present embodiment, after pending image and reference picture are divided into the filter block of predetermined number respectively, and noise reduction process is carried out to each filter block of reference picture, to improve the picture quality of reference picture; Then the reference filtering block after noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
The structural representation of a kind of another embodiment of image filtering device that Fig. 6 provides for the embodiment of the present application, described device can comprise:
Block divides module 601, for pending image being divided into the filter block of predetermined number.
Matching module 602, for determining in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image.
Reference picture is the image with pending image similarity, and in video image, this reference picture can refer to the previous frame image adjacent with pending image and/or a rear two field picture.
Strength co-mputation module 603, for utilizing the reference filtering block after noise reduction, calculates the exercise intensity of described pending filter block.
Wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction.
In the present embodiment, described Strength co-mputation module 603 can comprise:
4th filtration module 6031, for carrying out airspace filter by described reference filtering block.
Strength co-mputation submodule 6032, for utilizing the reference filtering block after carrying out airspace filter, calculates the exercise intensity of described pending filter block.
First filtration module 604, for when described exercise intensity is greater than threshold value, carries out airspace filter to described pending filter block;
Second filtration module 605, for when described exercise intensity is less than threshold value, utilizes the reference filtering block of described noise reduction, carries out time-domain filtering to described pending filter block.
Owing to may not be that full content all as with reference to filter block, after therefore determining reference filtering block, then can carry out to it complexity that filtering can reduce noise reduction in reference picture, reduce operation steps.
In the present embodiment, after pending image being divided into the filter block of predetermined number, first determine the reference filtering block mated with pending filter block in reference picture, and noise reduction process is carried out to this reference filtering block, to improve the picture quality of reference filtering block; Then the reference filtering block after this noise reduction is utilized, calculate the exercise intensity of pending filter block, and according to the size of exercise intensity, time-domain filtering or airspace filter are carried out to pending filter block, thus namely can ensure the picture quality after noise reduction, the complexity of denoising can be reduced again, and utilize the reference filtering block after noise reduction to calculate the exercise intensity of pending filter block, the degree of accuracy of calculating can be improved, reduce error, thus the accuracy of image procossing can be improved further, reduce the complexity of noise reduction process.
In this instructions, each embodiment adopts the mode of going forward one by one to describe, and what each embodiment stressed is the difference with other embodiments, between each embodiment identical similar portion mutually see.For device disclosed in embodiment, because it corresponds to the method disclosed in Example, so description is fairly simple, relevant part illustrates see method part.
Finally, also it should be noted that, in this article, the such as relational terms of first and second grades and so on is only used for an entity or operation to separate with another entity or operational zone, and not necessarily requires or imply the relation that there is any this reality between these entities or operation or sequentially.And, term " comprises ", " comprising " or its any other variant are intended to contain comprising of nonexcludability, thus make to comprise the process of a series of key element, method, article or equipment and not only comprise those key elements, but also comprise other key elements clearly do not listed, or also comprise by the intrinsic key element of this process, method, article or equipment.When not more restrictions, the key element limited by statement " comprising ... ", and be not precluded within process, method, article or the equipment comprising described key element and also there is other identical element.
For convenience of description, various unit is divided into describe respectively with function when describing above device.Certainly, the function of each unit can be realized in same or multiple software and/or hardware when implementing the application.
To the above-mentioned explanation of the disclosed embodiments, professional and technical personnel in the field are realized or uses the application.To be apparent for those skilled in the art to the multiple amendment of these embodiments, General Principle as defined herein when not departing from the spirit or scope of the application, can realize in other embodiments.Therefore, the application can not be restricted to these embodiments shown in this article, but will meet the widest scope consistent with principle disclosed herein and features of novelty.
Claims (10)
1. an image filtering method, is characterized in that, comprising:
Pending image is divided into the filter block of predetermined number;
Determine in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image;
Utilize the reference filtering block after noise reduction, calculate the exercise intensity of described pending filter block, wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
When described exercise intensity is greater than threshold value, airspace filter is carried out to described pending filter block;
When described exercise intensity is less than threshold value, utilize the reference filtering block of described noise reduction, time-domain filtering is carried out to described pending filter block.
2. method according to claim 1, is characterized in that, describedly utilizes the reference filtering block after noise reduction, and the exercise intensity calculating described pending filter block comprises:
Utilize the reference filtering block after airspace filter, calculate the exercise intensity of described pending filter block.
3. method according to claim 2, is characterized in that, describedly determines in reference picture, and the reference filtering block mated with the pending filter block in described pending image comprises:
Be divided into the filter block of described predetermined number with reference to image, and airspace filter is carried out to each filter block;
Determine in described reference picture, mate with the pending filter block in described pending image, and carry out the reference filtering block after airspace filter.
4. method according to claim 2, is characterized in that, the reference filtering block after airspace filter is carried out in described utilization, and the exercise intensity calculating described pending filter block comprises:
Described reference filtering block is carried out airspace filter;
Utilize the reference filtering block after carrying out airspace filter, calculate the exercise intensity of described pending filter block.
5. the method according to any one of Claims 1 to 4, is characterized in that, described pending image and described reference picture are the picture frame in video image, and described reference picture is and an adjacent frame of described pending image or two two field pictures.
6. an image filtering device, is characterized in that, comprising:
Block divides module, for pending image being divided into the filter block of predetermined number;
Matching module, for determining in reference picture, the reference filtering block mated with the pending filter block in described pending image, wherein, described pending filter block is arbitrary filter block in described pending image;
Strength co-mputation module, for utilizing the reference filtering block after noise reduction, calculates the exercise intensity of described pending filter block, and wherein, described exercise intensity represents the diversity factor of the reference filtering block after described pending filter block and described noise reduction;
First filtration module, for when described exercise intensity is greater than threshold value, carries out airspace filter to described pending filter block;
Second filtration module, for when described exercise intensity is less than threshold value, utilizes the reference filtering block of described noise reduction, carries out time-domain filtering to described pending filter block.
7. device according to claim 6, is characterized in that, described Strength co-mputation module specifically for utilizing the reference filtering block after airspace filter, calculates the exercise intensity of described pending filter block.
8. device according to claim 7, is characterized in that, described matching module comprises:
3rd filtration module, for being divided into the filter block of described predetermined number with reference to image, and carries out airspace filter to each filter block;
Matched sub-block, for determining in described reference picture, mates with the pending filter block in described pending image, and carries out the reference filtering block after airspace filter.
9. device according to claim 7, is characterized in that, described Strength co-mputation module comprises:
4th filtration module, for carrying out airspace filter by described reference filtering block;
Strength co-mputation submodule, for utilizing the reference filtering block after carrying out airspace filter, calculates the exercise intensity of described pending filter block.
10. the device according to any one of claim 6 ~ 9, is characterized in that, described pending image and described reference picture are the picture frame in video image, and described reference picture is and an adjacent frame of described pending image or two two field pictures.
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410116975.0A CN104952042A (en) | 2014-03-26 | 2014-03-26 | Image filtering method and image filtering device |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201410116975.0A CN104952042A (en) | 2014-03-26 | 2014-03-26 | Image filtering method and image filtering device |
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