CN109325917A - The method and device of noise, computer readable storage medium in a kind of detection image - Google Patents
The method and device of noise, computer readable storage medium in a kind of detection image Download PDFInfo
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- CN109325917A CN109325917A CN201710647386.9A CN201710647386A CN109325917A CN 109325917 A CN109325917 A CN 109325917A CN 201710647386 A CN201710647386 A CN 201710647386A CN 109325917 A CN109325917 A CN 109325917A
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Abstract
The invention discloses the method and devices of noise, computer readable storage medium in a kind of detection image, comprising: according to the length of writing in image, selects the size of detection block；The absolute difference of the pixel value of the central pixel point of detection block and the surrounding pixel point of the central pixel point is calculated, and the absolute difference is compared with pre-set threshold value, judges whether central pixel point is noise.The present invention passes through the length according to writing in image, select the size of corresponding detection block, and the size of the absolute difference and pre-set threshold value by comparing central pixel point and the pixel value of surrounding pixel point, judge whether central pixel point is noise, reduce the probability that writing is mistaken for noise, more accurately in detection image writing noise, and realize simple, vast resources will not be expended.
Description
Technical field
The present invention relates to the methods and dress of noise in digital image processing techniques field more particularly to a kind of detection image
It sets, computer readable storage medium.
Background technique
Not perfect due to imaging system, transmission medium and recording equipment etc., digital picture formed at it, transmission log mistake
The often pollution by a variety of noises in journey, these noises often show as some orphans for causing stronger visual effect on the image
Vertical picture element or pixel block, to affect the visual effect of image, or even hamper normal identification of the people to described image.
An important link of the image denoising as image procossing, can help people more accurately to obtain required figure
As feature.Currently used image de-noising method has the Denoising Algorithm of spatial domain and the Denoising Algorithm of time-domain, and spatial domain is gone
Algorithm of making an uproar has Mean Filtering Algorithm, median filtering algorithm, Gauss Denoising Algorithm, Wavelet Algorithm etc..
The pixel that writing in image occupies sometimes is that a line, a column, some direction or multiple directions are continuous
Point.In this case, usually writing can all be removed as noise using the Denoising Algorithm of existing spatial domain, and time-domain
Although Denoising Algorithm is capable of handling the noise in writing, but can expend vast resources.
Summary of the invention
In order to solve the above-mentioned technical problems, the present invention provides the method and devices of noise, calculating in a kind of detection image
Machine readable storage medium storing program for executing can reduce and writing is mistaken for the probability of noise and is realized simple.
In order to reach the object of the invention, the technical solution of the embodiment of the present invention is achieved in that
The embodiment of the invention provides a kind of methods of noise in detection image, comprising:
According to the length of writing in image, the size of detection block is selected；
The central pixel point for calculating detection block and the difference of the pixel value of the surrounding pixel point of the central pixel point are absolute
Value, and the absolute difference is compared with pre-set threshold value, judge whether central pixel point is noise.
Further, the length according to writing in image, selects the size of detection block, specifically includes:
When the length of the writing is two pixels, selected detection block is centered on current pixel to be measured
3 × 3 matrix areas comprising 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels centered on point.
Further, described to judge whether central pixel point makes an uproar when selected detection block is 3 × 3 matrix area
Point, specifically includes:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When absolute value is all larger than pre-set threshold value, determine that central pixel point is noise；
When the difference of 8 pixels is exhausted around central pixel point in the central pixel point and the detection block of the detection block
When to there is any one to be less than pre-set threshold value in value, determine that central pixel point is not noise.
Further, described to judge whether central pixel point makes an uproar when selected detection block is 5 × 5 matrix area
Point, specifically includes:
Several detection molds are generated, each detection mold includes central pixel point in the detection block and other two
Pixel, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than
Pre-set threshold value determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold
Respectively less than pre-set threshold value determines that central pixel point is not noise.
The embodiment of the invention also provides a kind of computer readable storage medium, deposited on the computer readable storage medium
The program of noise in detection image is contained, realizes such as any of the above when the program of noise is executed by processor in the detection image
In detection image described in the step of the method for noise.
The embodiment of the invention also provides a kind of device of noise in detection image, including selecting module and computing module,
Wherein:
Selecting module selects the size of detection block for the length according to writing in image, and by selected detection block
Size export to computing module；
Computing module, for calculating the pixel of the central pixel point of detection block and the surrounding pixel point of the central pixel point
The absolute difference of value, and the absolute difference is compared with pre-set threshold value, whether judge central pixel point
It is noise.
Further, the length according to writing in image of the selecting module, selects the size of detection block, comprising:
When the length of the writing is two pixels, selected detection block is centered on current pixel to be measured
3 × 3 matrix areas comprising 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels centered on point.
Further, when selected detection block is 3 × 3 matrix area, the judgement center pixel of the computing module
Whether point is noise, comprising:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When absolute value is all larger than pre-set threshold value, determine that central pixel point is noise；
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When thering is any one to be less than pre-set threshold value in absolute value, determine that central pixel point is not noise.
Further, when selected detection block is 5 × 5 matrix area, the judgement center pixel of the computing module
Whether point is noise, comprising:
Several detection molds are generated, each detection mold includes central pixel point in the detection block and other two
Pixel, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than
Pre-set threshold value determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold
Respectively less than pre-set threshold value determines that central pixel point is not noise.
Technical solution of the present invention has the following beneficial effects:
The embodiment of the present invention selects the size of corresponding detection block by the length according to writing in image, and passes through ratio
Compared with the absolute difference of central pixel point and the pixel value of surrounding pixel point and the size of pre-set threshold value, imago in judgement
Whether vegetarian refreshments is noise, reduces the probability that writing is mistaken for noise, can more accurately detect making an uproar for writing in image
Point, and realize simply, vast resources will not be expended.
Detailed description of the invention
The drawings described herein are used to provide a further understanding of the present invention, constitutes part of this application, this hair
Bright illustrative embodiments and their description are used to explain the present invention, and are not constituted improper limitations of the present invention.In the accompanying drawings:
Fig. 1 is the flow diagram of the method for noise in a kind of detection image of the embodiment of the present invention；
Fig. 2 is the detection block structural schematic diagram of 3 × 3 matrix areas of the embodiment of the present invention；
Fig. 3 is first detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Fig. 4 is second detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Fig. 5 is that the third of 5 × 5 matrix areas of the embodiment of the present invention detects mold structure diagram；
Fig. 6 is the 4th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Fig. 7 is the 5th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Fig. 8 is the 6th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Fig. 9 is the 7th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 10 is the 8th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 11 is the 9th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 12 is the tenth detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 13 is the 11st detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 14 is the 12nd detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 15 is the 13rd detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 16 is the 14th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 17 is the 15th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 18 is the 16th detection mold structure diagram of 5 × 5 matrix areas of the embodiment of the present invention；
Figure 19 is the structural schematic diagram of the device of noise in a kind of detection image of the embodiment of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention clearer, below in conjunction with attached drawing to the present invention
Embodiment be described in detail.It should be noted that in the absence of conflict, in the embodiment and embodiment in the application
Feature can mutual any combination.
As shown in Figure 1, in a kind of detection image according to the present invention noise method, include the following steps:
Step 101: according to the length of writing in image, selecting the size of detection block；
Further, the step 101 specifically includes:
When the length of the writing is two pixels, selected detection block is centered on current pixel to be measured
3 × 3 matrix areas comprising 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels centered on point.
It should be noted that in practical application detection image of the invention when the method for noise, if do not known in advance
The length of writing described in image can directly select 5 × 5 comprising 25 pixels centered on current pixel to be measured
The size of the detection block of matrix area.
Step 102: calculating the pixel value of the central pixel point of detection block and the surrounding pixel point of the central pixel point
The absolute difference of pixel value, and the absolute difference is compared with pre-set threshold value, judge central pixel point
It whether is noise.
It should be noted that as shown in Fig. 2, when selection be the detection block of 3 × 3 matrix areas when, need to calculate center
The absolute difference of pixel and 8 pixels of surrounding；As shown in Fig. 3 to 18, when selection be 5 × 5 matrix areas detection
When block, need to calculate the absolute difference of central pixel point Yu 24 pixels of surrounding.
Further, described to judge whether central pixel point makes an uproar when selected detection block is 3 × 3 matrix area
Point, specifically includes:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When absolute value is all larger than pre-set threshold value, determine that central pixel point is noise；
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When thering is any one to be less than pre-set threshold value in absolute value, determine that central pixel point is not noise.
Further, described to judge whether central pixel point makes an uproar when selected detection block is 5 × 5 matrix area
Point, specifically includes:
Several detection molds are generated, each detection mold includes central pixel point in the detection block and other two
Pixel, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than
Pre-set threshold value determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold
Respectively less than pre-set threshold value determines that central pixel point is not noise.
It should be noted that in the detection mold of 5 × 5 matrix, it can be according to other two selected pixel
Situation about whether being distributed on the ranks of outermost is divided into two classes, and one kind is internally positioned 3 × 3 of other two described pixel
Matrix in, referred to as A class mold；Another kind of is have a pixel internally positioned in other two described pixel 3 × 3
In matrix, one other pixel point is located in the ranks of outermost, referred to as B class mold.
A class mold is as shown in Figures 3 to 10, if in A class mold non-central pixel two stains and center pixel
The absolute difference of pixel value between point is respectively less than pre-set threshold value, then deciding that central pixel point is not noise；
B class mold is as shown in Figure 11 to Figure 18, if one of them hypographous dot and central pixel point in B class mold
Between the absolute difference of pixel value be less than pre-set threshold value, and another non-central pixel stain and center pixel
The absolute difference of pixel value between point is again smaller than pre-set threshold value, then deciding that central pixel point is not noise；
If there is any one detection mold to determine that central pixel point is not noise in A class mold and B class mold, determining should
Central pixel point is not noise；
If any one A class mold and any one B class mold determines that central pixel point is noise, determines imago in this
Vegetarian refreshments is noise.
It is worth noting that after determining that central pixel point is noise, it can be using such as median filter to writing
In noise be filtered.
The embodiment of the invention also provides a kind of computer readable storage medium, deposited on the computer readable storage medium
The program of noise in detection image is contained, realizes any of the above item when the program of noise is executed by processor in the detection image
In the detection image the step of method of noise.
As shown in figure 19, in a kind of detection image according to the present invention noise device, including selecting module and calculate mould
Block, in which:
Selecting module selects the size of detection block for the length according to writing in image, and by selected detection block
Size export to computing module；
Computing module, for calculating the pixel of the central pixel point of detection block and the surrounding pixel point of the central pixel point
The absolute difference of value, and the absolute difference is compared with pre-set threshold value, whether judge central pixel point
It is noise.
Further, the length according to writing in image of the selecting module, selects the size of detection block, comprising:
When the length of the writing is two pixels, selected detection block is centered on current pixel to be measured
3 × 3 matrix areas comprising 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels centered on point.
It should be noted that in practical application detection image of the invention when the device of noise, if do not known in advance
The length of writing described in image can directly select 5 × 5 comprising 25 pixels centered on current pixel to be measured
The size of the detection block of matrix area；When selection be the detection block of 3 × 3 matrix areas when, need to calculate central pixel point with
The absolute difference of 8 pixels of surrounding；When selection be the detection block of 5 × 5 matrix areas when, need to calculate central pixel point
With the absolute difference of 24 pixels around.
Further, when selected detection block is 3 × 3 matrix area, the judgement center pixel of the computing module
Whether point is noise, comprising:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When absolute value is all larger than pre-set threshold value, determine that central pixel point is noise；
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point
When thering is any one to be less than pre-set threshold value in absolute value, determine that central pixel point is not noise.
Further, when selected detection block is 5 × 5 matrix area, the judgement center pixel of the computing module
Whether point is noise, comprising:
Several detection molds are generated, each detection mold includes central pixel point in the detection block and other two
Pixel, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than
Pre-set threshold value determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold
Respectively less than pre-set threshold value determines that central pixel point is not noise.
It should be noted that can be according to other two selected pixel in the detection mold of 5 × 5 matrixes
No situation about being distributed on the ranks of outermost is divided into two classes, and one kind is 3 × 3 internally positioned squares of other two described pixel
In battle array, referred to as A class mold；Another kind of is 3 × 3 matrixes for having a pixel internally positioned in other two described pixel
In, one other pixel point is located in the ranks of outermost, referred to as B class mold.
A class mold is as shown in Figures 3 to 10, if in A class mold non-central pixel two stains and center pixel
The absolute difference of pixel value between point is respectively less than pre-set threshold value, then deciding that central pixel point is not noise；
B class mold is as shown in Figure 11 to Figure 18, if one of them hypographous dot and central pixel point in B class mold
Between the absolute difference of pixel value be less than pre-set threshold value, and another non-central pixel stain and center pixel
The absolute difference of pixel value between point is again smaller than pre-set threshold value, then deciding that central pixel point is not noise；
If there is any one detection mold to determine that central pixel point is not noise in A class mold and B class mold, determining should
Central pixel point is not noise；
If any one A class mold and any one B class mold determines that central pixel point is noise, determines imago in this
Vegetarian refreshments is noise.
It is worth noting that after determining that central pixel point is noise, preferably with median filter to making an uproar in writing
Sound is filtered.
The method and device of noise, computer readable storage medium in detection image provided by the invention, by according to figure
The length of writing as in selects the size of corresponding detection block, and by comparing the pixel of central pixel point and surrounding pixel point
The size of the absolute difference of value and pre-set threshold value judges whether central pixel point is noise, reduces and misses writing
It is judged to the probability of noise, can more accurately detect the noise of writing in image, it is more fine to the processing of writing, writing
Clear effect becomes apparent, and realizes simply, will not expend vast resources.
Those of ordinary skill in the art will appreciate that all or part of the steps in the above method can be instructed by program
Related hardware is completed, and described program can store in computer readable storage medium, such as read-only memory, disk or CD
Deng.Optionally, one or more integrated circuits also can be used to realize, accordingly in all or part of the steps of above-described embodiment
Ground, each module/unit in above-described embodiment can take the form of hardware realization, can also use the shape of software function module
Formula is realized.The present invention is not limited to the combinations of the hardware and software of any particular form.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (9)
1. a kind of method of noise in detection image characterized by comprising
According to the length of writing in image, the size of detection block is selected；
The absolute difference of the pixel value of the central pixel point of detection block and the surrounding pixel point of the central pixel point is calculated, and
The absolute difference is compared with pre-set threshold value, judges whether central pixel point is noise.
2. the method according to claim 1, wherein the length according to writing in image, selects detection block
Size, specifically include:
When the length of the writing is two pixels, selected detection block, which is centered on current pixel to be measured, includes
3 × 3 matrix areas of 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is to be with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels at center.
3. according to the method described in claim 2, it is characterized in that, when selected detection block be 3 × 3 matrix area when, institute
It states and judges whether central pixel point is noise, specifically include:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point is absolute
When value is all larger than pre-set threshold value, determine that central pixel point is noise；
When in the central pixel point and the detection block of the detection block around central pixel point 8 pixels absolute difference
In have any one be less than pre-set threshold value when, determine central pixel point be not noise.
4. according to the method described in claim 2, it is characterized in that, when selected detection block be 5 × 5 matrix area when, institute
It states and judges whether central pixel point is noise, specifically include:
Several detection molds are generated, each detection mold includes central pixel point and other two pixel in the detection block
Point, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than in advance
The threshold value of setting determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold is small
In pre-set threshold value, determine that central pixel point is not noise.
5. a kind of computer readable storage medium, which is characterized in that be stored with detection figure on the computer readable storage medium
The program of noise as in is realized when the program of noise is executed by processor in the detection image as any in Claims 1-4
In detection image described in the step of the method for noise.
6. the device of noise in a kind of detection image, which is characterized in that including selecting module and computing module, in which:
Selecting module selects the size of detection block for the length according to writing in image, and by the big of selected detection block
It is small to export to computing module；
Computing module, for calculating the pixel value of the central pixel point of detection block and the surrounding pixel point of the central pixel point
Absolute difference, and the absolute difference is compared with pre-set threshold value, judge whether central pixel point makes an uproar
Point.
7. device according to claim 6, which is characterized in that the length according to writing in image of the selecting module,
Select the size of detection block, comprising:
When the length of the writing is two pixels, selected detection block, which is centered on current pixel to be measured, includes
3 × 3 matrix areas of 9 pixels；
When the length of the writing is three or three or more pixels, selected detection block is to be with current pixel to be measured
5 × 5 matrix areas comprising 25 pixels at center.
8. device according to claim 7, which is characterized in that when selected detection block is 3 × 3 matrix area, institute
That states computing module judges whether central pixel point is noise, comprising:
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point is absolute
When value is all larger than pre-set threshold value, determine that central pixel point is noise；
When the difference of 8 pixels in the central pixel point and the detection block of the detection block around central pixel point is absolute
When thering is any one to be less than pre-set threshold value in value, determine that central pixel point is not noise.
9. device according to claim 7, which is characterized in that when selected detection block is 5 × 5 matrix area, institute
That states computing module judges whether central pixel point is noise, comprising:
Several detection molds are generated, each detection mold includes central pixel point and other two pixel in the detection block
Point, other two described pixel and the central pixel point form a continuous straight line or broken line；
If the absolute difference between other two pixel and central pixel point in all detection molds is all larger than in advance
The threshold value of setting determines that central pixel point is noise；
If there is the absolute value of the difference between other two pixel and central pixel point of any one detection mold is small
In pre-set threshold value, determine that central pixel point is not noise.
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| CN110263736A (en) * | 2019-06-24 | 2019-09-20 | 广州偕作信息科技有限公司 | A kind of component identification method, apparatus, storage medium and system |
| CN114360453A (en) * | 2021-12-09 | 2022-04-15 | 青岛信芯微电子科技股份有限公司 | Noise removing method and device, display equipment, chip and medium |
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