CN102625031A - Mid-value filter de-noising system and mid-value filter de-noising method for video data - Google Patents
Mid-value filter de-noising system and mid-value filter de-noising method for video data Download PDFInfo
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Abstract
Disclosed are a mid-value filter de-noising system and a mid-value filter de-noising method for video data. The mid-value filter de-noising system comprises a template generating module and a mid-value computing module which are connected in sequence. The template generating module comprises four FIFO (first in first out) memories FIFO1, FIFO2, FIFO3 and FIFO4 and a channel of data input. The method includes that image data of four continuous frames of videos introduced by the data input are stored in the four FIFO memories FIFO1, FIFO2, FIFO3 and FIFO4 to form a 5x5 neighborhood template; the mid-value of the five columns of data amounting to 25 data are computed by the mid-value computing module, and the mid-value is served as a data output to replace the original value of the corresponding data frame, so that the salt and pepper noise can be effectively filtered.
Description
Technical field
The present invention relates to the technical field of video monitoring, is a kind of real-time video noise reduction that is applied to specifically, effectively the medium filtering noise reduction system and the filtering noise-reduction method of the video data of filtering salt-pepper noise interference.
Background technology
The noise of in imageing sensor images acquired signal process, sneaking into mainly is a Gaussian noise; And the main target of video image denoising is a filtering noise wherein; Kept simultaneously detailed information as far as possible, and required to reduce in the video image behind noise reduction because the vision that filtering is introduced degrades.
The noise of video image denoising technology in not only can the filtering video image, improve the video image subjective visual quality do, and significant for subsequent treatment tasks such as compressed encoding, target recognition and tracking, frame frequency liftings.Existing video image denoising algorithm can be divided into two types: early stage pixel domain noise reduction algorithm and conversion territory noise reduction algorithm in recent years.
According to the filter range of filter, filtering algorithm when the pixel domain noise reduction algorithm can be divided into the time-domain filtering algorithm with sky.The time-domain filtering algorithm utilizes correlation on the video image time domain to suppress noise, obtains time domain prediction based on the motion estimation/motion compensation method usually; Filtering algorithm then is a correlation filtering noise when utilizing empty in the video image three dimensions when empty.The major defect of pixel domain noise reduction algorithm is exactly to introduce easily in the video image behind noise reduction that time domain degrades, spatial domain such as level and smooth excessively degrades, and does not up to the present also have a kind of other noise reduction algorithm of multiple noise level that is fit to.In addition, the estimation that adopt are obtained the relevant information on the time domain more in the pixel domain noise reduction algorithm, but the existence of noise influences the accuracy of estimation easily, thereby reduce anti-acoustic capability.
Summary of the invention
The technical problem that the present invention will solve provides a kind of real-time video noise reduction that is applied to, effectively the medium filtering noise reduction system and the filtering noise-reduction method of the video data of filtering salt-pepper noise interference.
The technical scheme that the present invention takes for the technical problem that exists in the solution known technology is:
The medium filtering noise reduction system of video data of the present invention comprises template generation module and median calculation module composition, and above-mentioned two sequence of modules are connected; The template generation module comprises four road pushup storage FIFO1 to FIFO4 and circuit-switched data input, and the continuous four frame video image data of being introduced by the data input deposit four road pushup storage FIFO1 to FIFO4 in, form 5 * 5 neighborhood templates; The median calculation module is calculated the intermediate value of 25 data in 5 * 5 neighborhood templates that generated by the template generation module, and above-mentioned intermediate value is exported as data.
The medium filtering noise-reduction method of video data of the present invention may further comprise the steps:
A, introduce the first frame video image data, and deposit these frame video image data in FIFO4 by data inputs; When the second frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the first frame video image data conversion storage among the FIFO4 originally to FIFO3; When the 3rd frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the second frame video image data conversion storage among the FIFO4 originally to FIFO3, and the first frame video image data conversion storage is to FIFO2; Continue to introduce vedio data, extremely preceding four frame video image data are stored in FIFO1 to FIFO4 successively;
B, introduce the 5th frame video image data by data inputs, the preceding four frame video image data of being stored among these frame video image data and four road pushup storage FIFO1 to FIFO4 together constitute the first columns certificate in 5 * 5 neighborhood templates;
C, with first columns according in five data deposit in the median calculation module;
Vedio data is introduced in D, continuation, is row with continuous per five frame data, when new Frame is introduced successively, repeats four difference and carries out above-mentioned A, B, C three steps successively, obtains back four columns certificates in 5 * 5 neighborhood templates;
E, median calculation module calculate the above-mentioned five row intermediate value of totally 25 data, and this intermediate value are exported the initial value of replacement corresponding data frame as data;
New vedio data is introduced in F, continuation, repeats above-mentioned steps A to E.
Advantage and good effect that the present invention has are:
In the medium filtering noise reduction system and filtering noise-reduction method of video data of the present invention; Generate a certain Frame 5 * 5 neighborhood templates on every side through the template generation module earlier; And with five in 5 * 5 neighborhood templates row totally 25 data try to achieve intermediate value through the median calculation module; The original Frame of this intermediate value replacement is exported, thus effective filtering salt-pepper noise.
Description of drawings
Fig. 1 is the sketch map of the medium filtering noise reduction system of video data of the present invention.
Embodiment
Followingly the present invention is carried out detailed explanation with reference to accompanying drawing and embodiment.
Fig. 1 is the sketch map of the medium filtering noise reduction system of video data of the present invention.
Basic principle to video frame image The data medium filtering is: use Mesophyticum on certain frame data A spatial neighborhood template for the initial value of frame data A.
As shown in Figure 1, the medium filtering noise reduction system of video data of the present invention comprises template generation module and median calculation module composition, and above-mentioned two sequence of modules are connected; The template generation module comprises four road pushup storage FIFO1 to FIFO4 and circuit-switched data input, and the continuous four frame video image data of being introduced by the data input deposit four road pushup storage FIFO1 to FIFO4 in, form 5 * 5 neighborhood templates; The median calculation module is calculated the intermediate value of 25 data in 5 * 5 neighborhood templates that generated by the template generation module, and above-mentioned intermediate value is exported as data.
The medium filtering noise-reduction method of video data of the present invention may further comprise the steps:
A, introduce the first frame video image data, and deposit these frame video image data in FIFO4 by data inputs; When the second frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the first frame video image data conversion storage among the FIFO4 originally to FIFO3; When the 3rd frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the second frame video image data conversion storage among the FIFO4 originally to FIFO3, and the first frame video image data conversion storage is to FIFO2; Continue to introduce vedio data, extremely preceding four frame video image data are stored in FIFO1 to FIFO4 successively;
B, introduce the 5th frame video image data by data inputs, the preceding four frame video image data of being stored among these frame video image data and four road pushup storage FIFO1 to FIFO4 together constitute the first columns certificate in 5 * 5 neighborhood templates;
C, with first columns according in five data deposit in the median calculation module;
Vedio data is introduced in D, continuation, is row with continuous per five frame data, when new Frame is introduced successively, repeats four difference and carries out above-mentioned A, B, C three steps successively, obtains back four columns certificates in 5 * 5 neighborhood templates;
E, median calculation module calculate the above-mentioned five row intermediate value of totally 25 data, and this intermediate value are exported the initial value of replacement corresponding data frame as data;
New vedio data is introduced in F, continuation, repeats above-mentioned steps A to E.
In the medium filtering noise reduction system and filtering noise-reduction method of video data of the present invention; Generate a certain Frame 5 * 5 neighborhood templates on every side through the template generation module earlier; And with five in 5 * 5 neighborhood templates row totally 25 data try to achieve intermediate value through the median calculation module; The original Frame of this intermediate value replacement is exported, thus effective filtering salt-pepper noise.
The above only is preferred embodiment of the present invention, is not the present invention is done any pro forma restriction; Though the present invention is with preferred embodiment openly as above, yet, be not in order to limit the present invention; Anyly be familiar with the professional and technical personnel, in not breaking away from technical scheme scope of the present invention, can utilize the technology contents of announcement to make a little change or modification certainly; Become the equivalent embodiment of equivalent variations; In every case be the content that does not break away from technical scheme of the present invention, to any simple modification, equivalent variations and modification that above embodiment did, all belong in the scope of technical scheme of the present invention according to technical spirit of the present invention.
Claims (2)
1. the medium filtering noise reduction system of a video data is characterized in that: comprise that template generation module and median calculation module form, above-mentioned two sequence of modules are connected; The template generation module comprises four road pushup storage FIFO1 to FIFO4 and circuit-switched data input, and the continuous four frame video image data of being introduced by the data input deposit four road pushup storage FIFO1 to FIFO4 in, form 5 * 5 neighborhood templates; The median calculation module is calculated the intermediate value of 25 data in 5 * 5 neighborhood templates that generated by the template generation module, and above-mentioned intermediate value is exported as data.
2. filtering noise-reduction method based on the medium filtering noise reduction system of the described video data of claim 1 may further comprise the steps:
A, introduce the first frame video image data, and deposit these frame video image data in FIFO4 by data inputs; When the second frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the first frame video image data conversion storage among the FIFO4 originally to FIFO3; When the 3rd frame video image data are introduced in data inputs, and when depositing these frame video image data in FIFO4, be stored in the second frame video image data conversion storage among the FIFO4 originally to FIFO3, and the first frame video image data conversion storage is to FIFO2; Continue to introduce vedio data, extremely preceding four frame video image data are stored in FIFO1 to FIFO4 successively;
B, introduce the 5th frame video image data by data inputs, the preceding four frame video image data of being stored among these frame video image data and four road pushup storage FIFO1 to FIFO4 together constitute the first columns certificate in 5 * 5 neighborhood templates;
C, with first columns according in five data deposit in the median calculation module;
Vedio data is introduced in D, continuation, is row with continuous per five frame data, when new Frame is introduced successively, repeats four difference and carries out above-mentioned A, B, C three steps successively, obtains back four columns certificates in 5 * 5 neighborhood templates;
E, median calculation module calculate the above-mentioned five row intermediate value of totally 25 data, and this intermediate value are exported the initial value of replacement corresponding data frame as data;
New vedio data is introduced in F, continuation, repeats above-mentioned steps A to E.
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| CN1720720A (en) * | 2002-12-02 | 2006-01-11 | 奥林巴斯株式会社 | Image pickup apparatus |
| CN101026688A (en) * | 2006-02-16 | 2007-08-29 | 日本先锋公司 | Video processing device, video processing method, and video processing program |
| CN101996307A (en) * | 2009-08-10 | 2011-03-30 | 上海理视微电子有限公司 | Intelligent video human body identification method |
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| JP2003029734A (en) * | 2001-07-18 | 2003-01-31 | Fujitsu Ltd | System and method for controlling memory |
| CN1720720A (en) * | 2002-12-02 | 2006-01-11 | 奥林巴斯株式会社 | Image pickup apparatus |
| CN101026688A (en) * | 2006-02-16 | 2007-08-29 | 日本先锋公司 | Video processing device, video processing method, and video processing program |
| CN101996307A (en) * | 2009-08-10 | 2011-03-30 | 上海理视微电子有限公司 | Intelligent video human body identification method |
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