CN104717401B - A kind of method and device for removing singular point noise - Google Patents

A kind of method and device for removing singular point noise Download PDF

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Publication number
CN104717401B
CN104717401B CN201510145620.9A CN201510145620A CN104717401B CN 104717401 B CN104717401 B CN 104717401B CN 201510145620 A CN201510145620 A CN 201510145620A CN 104717401 B CN104717401 B CN 104717401B
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value
default
absolute value
pixel point
values
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CN104717401A (en
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张玺辉
何强
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Beijing Miyoshi Interactive Educational Technology Co ltd
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Interactive Science And Technology Ltd Of Beijing Cloth Card
Good Mutual Education Science And Technology Ltd In Beijing Three
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Priority to PCT/CN2015/081797 priority patent/WO2016155124A1/en
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/21—Circuitry for suppressing or minimising disturbance, e.g. moiré or halo

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Processing Of Color Television Signals (AREA)
  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

This application discloses a kind of method and device for removing singular point noise, for each pixel that will be sent in the image of encoder, following processes are performed：In several neighbor pixel points for calculating current pixel point, the luminance difference and chroma difference of pixel, obtain some first luminance differences and some first chroma differences two-by-two；Current pixel point and the luminance difference and chroma difference of each neighbor pixel point are calculated, obtains some second luminance differences and some second chroma differences；It is less than the first predetermined luminance threshold values in the absolute value for judging each first luminance difference, and when the absolute value of the second minimum luminance difference of absolute value is more than the second predetermined luminance threshold values in each second luminance difference, the brightness value of current pixel point is arranged to the average value of the brightness value of each neighbor pixel point；Performed for the colourity of pixel according to the processing mode of above-mentioned brightness.By said process, the singular point noise in image is eliminated, improves the experience sense of user.

Description

A kind of method and device for removing singular point noise
Technical field
The application is related to technical field of image processing, more specifically to a kind of method and dress for removing singular point noise Put.
Background technology
From in medium technique, Internet video application emerges in an endless stream.The main process of Internet video is gathered by camera Image information, and image information is sent to encoder, after being encoded by encoder to image information, shown for terminal.
Because camera on the market varies, quality is uneven, causes camera to gather and is sent to encoder Image information in carry many noises, also known as singular point.It can be exaggerated after the encoded device coding of these singular point noises, sternly Ghost image rings the experience of user.
The content of the invention
In view of this, this application provides a kind of method and device for removing singular point noise, for solving due to camera The image information of collection includes singular point noise, the problem of caused influence Consumer's Experience.
To achieve these goals, it is proposed that scheme it is as follows：
A kind of method for removing singular point noise, for each pixel that will be sent in the image of encoder, perform Following processes：
In several neighbor pixel points for calculating current pixel point, the luminance difference and chroma difference of pixel, are obtained two-by-two To some first luminance differences and some first chroma differences；Calculate current pixel point and the luminance difference of each neighbor pixel point Value and chroma difference, obtain some second luminance differences and some second chroma differences；
Judge whether the absolute value of each first luminance difference is less than the first predetermined luminance threshold values；
If so, judging whether the absolute value of the second luminance difference that absolute value is minimum in each second luminance difference is more than Second predetermined luminance threshold values；
If so, the brightness value of the current pixel point is arranged to the average value of the brightness value of each neighbor pixel point；
Judge whether the absolute value of each first chroma difference is less than the first default colourity threshold values；
If so, judging whether the absolute value of the second chroma difference that absolute value is minimum in each second chroma difference is more than Second default colourity threshold values；
If so, the chromatic value of the current pixel point is arranged to the average value of the chromatic value of each neighbor pixel point.
Preferably, when described image is the image of yuv format, the first luminance difference for calculating gained is Δ Y1, first Chroma difference is Δ U1 and Δ V1, the second luminance difference are Δ Y2, the second chroma difference is Δ U2 and Δ V2, and described first is default Colourity threshold values includes the first default U values and the first default V values, and described second presets colourity threshold values presets U values and the including second Two default V values；
Whether the absolute value for judging each first chroma difference is less than the first default colourity threshold values, and is judging As a result when being, to judge the absolute value of the second minimum chroma difference of absolute value in each second chroma difference whether more than the The processes of two default colourity threshold values are：
Judge whether each Δ U1 absolute value is less than the first default U values；
When it is determined that each Δ U1 absolute value is less than the first default U values, judge the Δ U2's that absolute value is minimum in each Δ U2 Whether absolute value is more than the second default U values；
Judge whether each Δ V1 absolute value is less than the first default V values；
When it is determined that each Δ V1 absolute value is less than the first default V values, judge the Δ V2's that absolute value is minimum in each Δ V2 Whether absolute value is more than the second default V values.
Preferably, the chromatic value by the current pixel point is arranged to the flat of the chromatic value of each neighbor pixel point Average, including：
It is determined that each Δ U1 absolute value is less than the first default U values, and the minimum Δ U2 of absolute value in each Δ U2 of determination When absolute value is more than the second default U values, the chromatic value of the current pixel point will be arranged to the color of each neighbor pixel point The average value of angle value；And
It is determined that each Δ V1 absolute value is less than the first default V values, and the minimum Δ V2 of absolute value in each Δ V2 of determination When absolute value is more than the second default V values, the chromatic value of the current pixel point will be arranged to the color of each neighbor pixel point The average value of angle value.
Preferably, several neighbor pixel points of the current pixel point are：
Positioned at the top of current pixel point, lower section, the left and right four pixels.
A kind of device for removing singular point noise, at each pixel that will be sent in the image of encoder Reason, the device include：
First computing unit, in several neighbor pixel points for calculating current pixel point, the brightness of pixel two-by-two Difference and chroma difference, obtain some first luminance differences and some first chroma differences；
Second computing unit, for calculating the luminance difference and colour difference of current pixel point and each neighbor pixel point Value, obtains some second luminance differences and some second chroma differences；
First judging unit, for judging whether the absolute value of each first luminance difference is less than the first predetermined luminance valve Value；
Second judging unit, for when first judging unit is judged as YES, judging each second luminance difference Whether the absolute value of the second minimum luminance difference of middle absolute value is more than the second predetermined luminance threshold values；
Pixel luma processing unit, for when second judging unit is judged as YES, by the current pixel point Brightness value be arranged to each neighbor pixel point brightness value average value；
Whether the 3rd judging unit, the absolute value for judging each first chroma difference are less than the first default colourity valve Value；
4th judging unit, for when the 3rd judging unit is judged as YES, judging each second chroma difference Whether the absolute value of the second minimum chroma difference of middle absolute value is more than the second default colourity threshold values；
Pixel colourity processing unit, for when the 4th judging unit is judged as YES, by the current pixel point Chromatic value be arranged to each neighbor pixel point chromatic value average value.
Preferably, when described image is the image of yuv format, the first luminance difference for calculating gained is Δ Y1, first Chroma difference is Δ U1 and Δ V1, the second luminance difference are Δ Y2, the second chroma difference is Δ U2 and Δ V2, and described first is default Colourity threshold values includes the first default U values and the first default V values, and described second presets colourity threshold values presets U values and the including second Two default V values；
3rd judging unit includes：
Whether the first U value judging units, the absolute value for judging each Δ U1 are less than the first default U values；
Whether the first V value judging units, the absolute value for judging each Δ V1 are less than the first default V values；
4th judging unit includes：
2nd U value judging units, it is pre- that the absolute value for judging each Δ U1 in the first U value judging units is less than first If during U values, judge whether the absolute value of the Δ U2 that absolute value is minimum in each Δ U2 is more than the second default U values；
2nd V value judging units, it is pre- that the absolute value for judging each Δ V1 in the first V value judging units is less than first If during V values, judge whether the absolute value of the Δ V2 that absolute value is minimum in each Δ V2 is more than the second default V values.
Preferably, the pixel colourity processing unit includes：
Pixel colourity handles subelement, for it is determined that each Δ U1 absolute value is less than the first default U values, and determines respectively When the minimum Δ U2 of absolute value absolute value is more than the second default U values in Δ U2, the chromatic value of the current pixel point will be set It is set to the average value of the chromatic value of each neighbor pixel point；And it is determined that each Δ V1 absolute value is less than the first default V , will be by the current pixel point when being worth, and determining the absolute value of the Δ V2 that absolute value is minimum in each Δ V2 more than the second default V values Chromatic value be arranged to each neighbor pixel point chromatic value average value.
Preferably, several neighbor pixel points of the current pixel point are：
Positioned at the top of current pixel point, lower section, the left and right four pixels.
It can be seen from the above technical scheme that the method for the removal singular point noise that the embodiment of the present application provides, for inciting somebody to action The each pixel being sent in the image of encoder, performs following processes：Calculate several neighbours' pictures of current pixel point In vegetarian refreshments, the luminance difference and chroma difference of pixel, obtain some first luminance differences and some first chroma differences two-by-two； Calculate the luminance difference and chroma difference of current pixel point and each neighbor pixel point, if obtain some second luminance differences and Dry second chroma difference；It is less than the first predetermined luminance threshold values in the absolute value for judging each first luminance difference, and it is each described When the absolute value of the second minimum luminance difference of absolute value is more than the second predetermined luminance threshold values in second luminance difference, described it will work as The brightness value of preceding pixel point is arranged to the average value of the brightness value of each neighbor pixel point；Judging each first colour difference The absolute value of value is less than the first default colourity threshold values, and the second minimum chroma difference of absolute value in each second chroma difference Absolute value when being more than the second default colourity threshold values, the chromatic value of the current pixel point is arranged to each neighbor pixel point Chromatic value average value.By said process, the singular point noise in image is eliminated, improves the experience sense of user.
Brief description of the drawings
, below will be to embodiment or existing in order to illustrate more clearly of the embodiment of the present application or technical scheme of the prior art There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this The embodiment of application, for those of ordinary skill in the art, on the premise of not paying creative work, can also basis The accompanying drawing of offer obtains other accompanying drawings.
Fig. 1 is a kind of method flow diagram for removing singular point noise disclosed in the embodiment of the present application；
Fig. 2 is a kind of 8*8 pixels system of battle formations of the embodiment of the present application example；
Fig. 3 is a kind of apparatus structure schematic diagram for removing singular point noise disclosed in the embodiment of the present application.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present application, the technical scheme in the embodiment of the present application is carried out clear, complete Site preparation describes, it is clear that described embodiment is only some embodiments of the present application, rather than whole embodiments.It is based on Embodiment in the application, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of the application protection.
The embodiment of the present application provides a kind of method for removing singular point noise, and this method will be for that will be sent to encoder Each pixel in image is handled, and concrete processing procedure is referring to Fig. 1.
, it is necessary to explain, the pixel of image is by two factor structures of brightness and colourity before application scheme is introduced It is too high or too low may cause the pixel to turn into a singular point noise into, the value of any one in the two.
As shown in figure 1, this method includes：
Step S100, in several neighbor pixel points for calculating current pixel point, the luminance difference and color of pixel two-by-two Difference is spent, obtains some first luminance differences and some first chroma differences；
Specifically, the pixel in image is usually rectanglar arrangement, and each pixel has neighbor pixel point.Can With understanding, the number of the neighbor pixel point of the pixel on four sides of image, less than the neighbour of the pixel in the middle part of image Occupy the number of pixel.
In this step, for several neighbor pixel points of current pixel point, luminance difference between any two and color are calculated Spend difference.
Step S110, current pixel point and the luminance difference and chroma difference of each neighbor pixel point are calculated, if obtaining Dry second luminance difference and some second chroma differences；
Step S120, judge whether the absolute value of each first luminance difference is less than the first predetermined luminance threshold values；If so, Perform step S130；
Wherein, the first predetermined luminance threshold values is value set in advance, if the absolute value of each first luminance difference is small In the value, then mean that the luminance difference of neighbor pixel point is little, wherein in the absence of singular point noise.
Step S130, judge the second minimum luminance difference of absolute value in each second luminance difference absolute value whether More than the second predetermined luminance threshold values；If so, perform step S140；
Wherein, the second predetermined luminance threshold values is value set in advance, if value minimum big absolutely in each second luminance difference The absolute value of second luminance difference is more than the value, then means that the brightness of current pixel point is far longer than the bright of its neighbor pixel point Degree.And because the above-mentioned neighbor pixel point for having determined that current pixel point is non critical point noise, thus may determine that working as Preceding pixel point is a singular point noise.
Step S140, the brightness value of the current pixel point is arranged to being averaged for the brightness value of each neighbor pixel point Value；
, it is necessary to adjust the brightness of current pixel point after previous step determines current pixel point for a singular point noise Value.During specific adjustment, the brightness value of current pixel point is adjusted to the average value of its neighbor pixel point brightness value.
Step S150, judge whether the absolute value of each first chroma difference is less than the first default colourity threshold values；If so, Perform step S160；
Wherein, the first default colourity threshold values is value set in advance, if the absolute value of each first chroma difference is small In the value, then mean that the colourity difference of neighbor pixel point is little, wherein in the absence of singular point noise.
Step S160, judge the second minimum chroma difference of absolute value in each second chroma difference absolute value whether More than the second default colourity threshold values；If so, perform step S170；
Wherein, the second default colourity threshold values is value set in advance, if value minimum big absolutely in each second chroma difference The absolute value of second chroma difference is more than the value, then means that the colourity of current pixel point is far longer than the color of its neighbor pixel point Degree.And because the above-mentioned neighbor pixel point for having determined that current pixel point is non critical point noise, thus may determine that working as Preceding pixel point is a singular point noise.
Step S170, the chromatic value of the current pixel point is arranged to being averaged for the chromatic value of each neighbor pixel point Value.
, it is necessary to adjust the colourity of current pixel point after previous step determines current pixel point for a singular point noise Value.During specific adjustment, the chromatic value of current pixel point is adjusted to the average value of its neighbor pixel point chromatic value.
It is to be understood that above-mentioned steps S100 and step S110 do not limit sequencing, and step S120-S140 is with walking Rapid S150-S170 is two independent deterministic processes, and the two links can be performed individually, can also successively perform, in Fig. 1 only Only illustrate the situation that the two links independently execute.
The method for the removal singular point noise that the embodiment of the present application provides, it is each in the image of encoder for that will be sent to Individual pixel, perform following processes：In several neighbor pixel points for calculating current pixel point, the luminance difference of pixel two-by-two And chroma difference, obtain some first luminance differences and some first chroma differences；Calculate current pixel point and each neighbours The luminance difference and chroma difference of pixel, obtain some second luminance differences and some second chroma differences；Judging each institute The absolute value for stating the first luminance difference is less than the first predetermined luminance threshold values, and absolute value minimum in each second luminance difference When the absolute value of second luminance difference is more than the second predetermined luminance threshold values, the brightness value of the current pixel point is arranged to each institute State the average value of the brightness value of neighbor pixel point；It is less than the first default colourity in the absolute value for judging each first chroma difference Threshold values, and the absolute value of the second minimum chroma difference of absolute value is more than the second default colourity valve in each second chroma difference During value, the chromatic value of the current pixel point is arranged to the average value of the chromatic value of each neighbor pixel point.By above-mentioned Process, the singular point noise in image is eliminated, improve the experience sense of user.
It should be noted that the neighbor pixel point of current pixel point described above can be understood as the upper of current pixel point Side, lower section, four pixels of the left and right.Certainly, if current pixel point is in image border, the neighbour of the pixel Occupy pixel now may only need to consider remaining neighbor pixel point less than 4.
Because existing encoder is typically merely able to encode the image information of yuv format, so if camera The image of collection is the image information of rgb format, then needs to be converted to the image information of yuv format according to existing formula.YUV lattice The image of formula includes luminance signal Y and two carrier chrominance signals U and V.
For the image that image is yuv format, we are introduced in the scheme to above-described embodiment.
First, the first luminance difference obtained by above-mentioned calculating is Δ Y1, the first chroma difference is Δ U1 and Δ V1, second bright Degree difference is Δ Y2, the second chroma difference is Δ U2 and Δ V2.Described first default colourity threshold values includes the first default U values and the One default V values, the described second default colourity threshold values include the second default U values and the second default V values.
1st, the process whether above-mentioned absolute value for judging each first luminance difference is less than the first predetermined luminance threshold values is：
Judge whether each Δ Y1 absolute value is less than the first predetermined luminance threshold values.
2nd, whether the absolute value of above-mentioned the second luminance difference for judging that absolute value in each second luminance difference is minimum is big It is in the process of the second predetermined luminance threshold values：
Judge whether the absolute value of the Δ Y2 that absolute value is minimum in each Δ Y2 is more than the second predetermined luminance threshold values.
3rd, whether the above-mentioned absolute value for judging each first chroma difference is less than the first default colourity threshold values, and is sentencing Disconnected result is when being, to judge whether the absolute value of the second chroma difference that absolute value is minimum in each second chroma difference is more than The process of second default colourity threshold values is：
Judge whether each Δ U1 absolute value is less than the first default U values；
When it is determined that each Δ U1 absolute value is less than the first default U values, judge the Δ U2's that absolute value is minimum in each Δ U2 Whether absolute value is more than the second default U values.
And
Judge whether each Δ V1 absolute value is less than the first default V values；
When it is determined that each Δ V1 absolute value is less than the first default V values, judge the Δ V2's that absolute value is minimum in each Δ V2 Whether absolute value is more than the second default V values.
4th, the above-mentioned chromatic value by the current pixel point is arranged to the average value of the chromatic value of each neighbor pixel point Process be：
It is determined that each Δ U1 absolute value is less than the first default U values, and the minimum Δ U2 of absolute value in each Δ U2 of determination When absolute value is more than the second default U values, the chromatic value of the current pixel point will be arranged to the color of each neighbor pixel point The average value of angle value；And
It is determined that each Δ V1 absolute value is less than the first default V values, and the minimum Δ V2 of absolute value in each Δ V2 of determination When absolute value is more than the second default V values, the chromatic value of the current pixel point will be arranged to the color of each neighbor pixel point The average value of angle value.
In general, the brightness Y of pixel, colourity U and colourity V can turn into singular point noise composition on pixel and influence. If pixel turns into singular point noise due to brightness Y, the brightness Y to pixel is needed to be adjusted；If pixel due to Colourity U and when turning into singular point noise, then need to be adjusted the colourity U of pixel；If pixel is due to colourity V and as strange During spot noise, then need to be adjusted the colourity V of pixel.
In order to make it easy to understand, the present embodiment is illustrated by a specific example, as shown in Figure 2.
Fig. 2 illustrates 8*8 pixel-matrix.Wherein, pixel P neighbor pixel point elects P four pictures up and down as Vegetarian refreshments (point that oblique line is marked in figure), is respectively defined as POn、PUnder、PIt is left、PIt is right.The brightness that only example passes through pixel in the present embodiment Come judge pixel whether be singular point noise process.Assuming that P brightness is 10, POn、PUnder、PIt is left、PIt is rightBrightness be respectively 2,3, 4、3.It is 3 to define the first predetermined luminance threshold values, and the second predetermined luminance threshold values is 5.
Due to POn、PUnder、PIt is left、PIt is rightBetween four points, the difference of the brightness of any two point is and P points and P more than 3On、 PUnder、PIt is left、PIt is rightMinimum difference is 10-4=6 in the luminance difference of four points, and is more than the second predetermined luminance threshold values 5 due to 6, because And it is singular point noise to determine pixel P.
The device of the removal singular point noise provided below the embodiment of the present application is described, removal singular point described below The method of the device of noise and above-described removal singular point noise can be mutually to should refer to.
Referring to Fig. 3, Fig. 3 is a kind of apparatus structure schematic diagram for removing singular point noise disclosed in the embodiment of the present application.
The device is handled each pixel that will be sent in the image of encoder.As shown in figure 3, the device Including：
First computing unit 31, in several neighbor pixel points for calculating current pixel point, pixel is bright two-by-two Difference and chroma difference are spent, obtains some first luminance differences and some first chroma differences；
Second computing unit 32, for calculating the luminance difference and colour difference of current pixel point and each neighbor pixel point Value, obtains some second luminance differences and some second chroma differences；
First judging unit 33, for judging whether the absolute value of each first luminance difference is less than the first predetermined luminance Threshold values；
Second judging unit 34, for when first judging unit 33 is judged as YES, judging each second brightness Whether the absolute value of the second minimum luminance difference of absolute value is more than the second predetermined luminance threshold values in difference；
Pixel luma processing unit 35, for when second judging unit 34 is judged as YES, by the current picture The brightness value of vegetarian refreshments is arranged to the average value of the brightness value of each neighbor pixel point；
Whether the 3rd judging unit 36, the absolute value for judging each first chroma difference are less than the first default colourity Threshold values；
4th judging unit 37, for when the 3rd judging unit 36 is judged as YES, judging each second colourity Whether the absolute value of the second minimum chroma difference of absolute value is more than the second default colourity threshold values in difference；
Pixel colourity processing unit 38, for when the 4th judging unit 37 is judged as YES, by the current picture The chromatic value of vegetarian refreshments is arranged to the average value of the chromatic value of each neighbor pixel point.
Optionally, when described image is the image of yuv format, the first luminance difference for calculating gained is Δ Y1, first Chroma difference is Δ U1 and Δ V1, the second luminance difference are Δ Y2, the second chroma difference is Δ U2 and Δ V2, and described first is default Colourity threshold values includes the first default U values and the first default V values, and described second presets colourity threshold values presets U values and the including second Two default V values；
3rd judging unit 36 can include：
Whether the first U value judging units, the absolute value for judging each Δ U1 are less than the first default U values；
Whether the first V value judging units, the absolute value for judging each Δ V1 are less than the first default V values；
4th judging unit includes：
2nd U value judging units, it is pre- that the absolute value for judging each Δ U1 in the first U value judging units is less than first If during U values, judge whether the absolute value of the Δ U2 that absolute value is minimum in each Δ U2 is more than the second default U values；
2nd V value judging units, it is pre- that the absolute value for judging each Δ V1 in the first V value judging units is less than first If during V values, judge whether the absolute value of the Δ V2 that absolute value is minimum in each Δ V2 is more than the second default V values.
The pixel colourity processing unit 38 can include：
Pixel colourity handles subelement, for it is determined that each Δ U1 absolute value is less than the first default U values, and determines respectively When the minimum Δ U2 of absolute value absolute value is more than the second default U values in Δ U2, the chromatic value of the current pixel point will be set It is set to the average value of the chromatic value of each neighbor pixel point；And it is determined that each Δ V1 absolute value is less than the first default V , will be by the current pixel point when being worth, and determining the absolute value of the Δ V2 that absolute value is minimum in each Δ V2 more than the second default V values Chromatic value be arranged to each neighbor pixel point chromatic value average value.
It should be noted that the neighbor pixel point of current pixel point described above can be understood as the upper of current pixel point Side, lower section, four pixels of the left and right.Certainly, if current pixel point is in image border, the neighbour of the pixel Occupy pixel now may only need to consider remaining neighbor pixel point less than 4.
The device for the removal singular point noise that the embodiment of the present application provides, it is each in the image of encoder for that will be sent to Individual pixel, perform following processes：In several neighbor pixel points for calculating current pixel point, the luminance difference of pixel two-by-two And chroma difference, obtain some first luminance differences and some first chroma differences；Calculate current pixel point and each neighbours The luminance difference and chroma difference of pixel, obtain some second luminance differences and some second chroma differences；Judging each institute The absolute value for stating the first luminance difference is less than the first predetermined luminance threshold values, and absolute value minimum in each second luminance difference When the absolute value of second luminance difference is more than the second predetermined luminance threshold values, the brightness value of the current pixel point is arranged to each institute State the average value of the brightness value of neighbor pixel point；It is less than the first default colourity in the absolute value for judging each first chroma difference Threshold values, and the absolute value of the second minimum chroma difference of absolute value is more than the second default colourity valve in each second chroma difference During value, the chromatic value of the current pixel point is arranged to the average value of the chromatic value of each neighbor pixel point.By above-mentioned Process, the singular point noise in image is eliminated, improve the experience sense of user.
Finally, it is to be noted that, herein, such as first and second or the like relational terms be used merely to by One entity or operation make a distinction with another entity or operation, and not necessarily require or imply these entities or operation Between any this actual relation or order be present.Moreover, term " comprising ", "comprising" or its any other variant meaning Covering including for nonexcludability, so that process, method, article or equipment including a series of elements not only include that A little key elements, but also the other element including being not expressly set out, or also include for this process, method, article or The intrinsic key element of equipment.In the absence of more restrictions, the key element limited by sentence "including a ...", is not arranged Except other identical element in the process including the key element, method, article or equipment being also present.
Each embodiment is described by the way of progressive in this specification, what each embodiment stressed be and other The difference of embodiment, between each embodiment identical similar portion mutually referring to.
The foregoing description of the disclosed embodiments, professional and technical personnel in the field are enable to realize or using the application. A variety of modifications to these embodiments will be apparent for those skilled in the art, as defined herein General Principle can be realized in other embodiments in the case where not departing from spirit herein or scope.Therefore, the application The embodiments shown herein is not intended to be limited to, and is to fit to and principles disclosed herein and features of novelty phase one The most wide scope caused.

Claims (8)

  1. A kind of 1. method for removing singular point noise, it is characterised in that for each picture that will be sent in the image of encoder Vegetarian refreshments, perform following processes：
    In several neighbor pixel points for calculating current pixel point, the luminance difference and chroma difference of pixel two-by-two, if obtaining Dry first luminance difference and some first chroma differences；Calculate current pixel point and each neighbor pixel point luminance difference and Chroma difference, obtain some second luminance differences and some second chroma differences；
    Judge whether the absolute value of each first luminance difference is less than the first predetermined luminance threshold value；
    If so, judging whether the absolute value of the second luminance difference that absolute value is minimum in each second luminance difference is more than second Predetermined luminance threshold value；
    If so, the brightness value of the current pixel point is arranged to the average value of the brightness value of each neighbor pixel point；
    Judge whether the absolute value of each first chroma difference is less than the first default Chroma threshold；
    If so, judging whether the absolute value of the second chroma difference that absolute value is minimum in each second chroma difference is more than second Default Chroma threshold；
    If so, the chromatic value of the current pixel point is arranged to the average value of the chromatic value of each neighbor pixel point.
  2. 2. according to the method for claim 1, it is characterised in that when described image is the image of yuv format, calculate gained The first luminance difference be Δ Y1, the first chroma difference is Δ U1 and Δ V1, the second luminance difference are Δ Y2, the second chroma difference For Δ U2 and Δ V2, the described first default Chroma threshold includes the first default U values and the first default V values, the described second default color Spending threshold value includes the second default U values and the second default V values；
    Whether the absolute value for judging each first chroma difference is less than the first default Chroma threshold, and in judged result During to be, judge whether the absolute value of the second chroma difference that absolute value is minimum in each second chroma difference is pre- more than second If the process of Chroma threshold is：
    Judge whether each Δ U1 absolute value is less than the first default U values；
    When it is determined that each Δ U1 absolute value is less than the first default U values, judge that the Δ U2's that absolute value is minimum in each Δ U2 is absolute Whether value is more than the second default U values；
    Judge whether each Δ V1 absolute value is less than the first default V values；
    When it is determined that each Δ V1 absolute value is less than the first default V values, judge that the Δ V2's that absolute value is minimum in each Δ V2 is absolute Whether value is more than the second default V values.
  3. 3. according to the method for claim 2, it is characterised in that the chromatic value by the current pixel point is arranged to each The average value of the chromatic value of the neighbor pixel point, including：
    It is determined that each Δ U1 absolute value is less than the first default U values, and determine that the Δ U2's of absolute value minimum in each Δ U2 is absolute When value is more than the second default U values, the chromatic value of the current pixel point is arranged to the chromatic value of each neighbor pixel point Average value；And
    It is determined that each Δ V1 absolute value is less than the first default V values, and determine that the Δ V2's of absolute value minimum in each Δ V2 is absolute When value is more than the second default V values, the chromatic value of the current pixel point is arranged to the chromatic value of each neighbor pixel point Average value.
  4. 4. according to the method described in claim any one of 1-3, it is characterised in that several neighbours' pictures of the current pixel point Vegetarian refreshments is：
    Positioned at the top of current pixel point, lower section, the left and right four pixels.
  5. 5. a kind of device for removing singular point noise, it is characterised in that to each pixel that will be sent in the image of encoder Point is handled, and the device includes：
    First computing unit, in several neighbor pixel points for calculating current pixel point, the luminance difference of pixel two-by-two And chroma difference, obtain some first luminance differences and some first chroma differences；
    Second computing unit, for calculating the luminance difference and chroma difference of current pixel point and each neighbor pixel point, obtain To some second luminance differences and some second chroma differences；
    First judging unit, for judging whether the absolute value of each first luminance difference is less than the first predetermined luminance threshold value；
    Second judging unit, for when first judging unit is judged as YES, judging in each second luminance difference absolutely Whether the second predetermined luminance threshold value is more than to the absolute value of the second minimum luminance difference of value；
    Pixel luma processing unit, for when second judging unit is judged as YES, by the bright of the current pixel point Angle value is arranged to the average value of the brightness value of each neighbor pixel point；
    Whether the 3rd judging unit, the absolute value for judging each first chroma difference are less than the first default Chroma threshold；
    4th judging unit, for when the 3rd judging unit is judged as YES, judging in each second chroma difference absolutely Whether the second default Chroma threshold is more than to the absolute value of the second minimum chroma difference of value；
    Pixel colourity processing unit, for when the 4th judging unit is judged as YES, by the color of the current pixel point Angle value is arranged to the average value of the chromatic value of each neighbor pixel point.
  6. 6. device according to claim 5, it is characterised in that when described image is the image of yuv format, calculate gained The first luminance difference be Δ Y1, the first chroma difference is Δ U1 and Δ V1, the second luminance difference are Δ Y2, the second chroma difference For Δ U2 and Δ V2, the described first default Chroma threshold includes the first default U values and the first default V values, the described second default color Spending threshold value includes the second default U values and the second default V values；
    3rd judging unit includes：
    Whether the first U value judging units, the absolute value for judging each Δ U1 are less than the first default U values；
    Whether the first V value judging units, the absolute value for judging each Δ V1 are less than the first default V values；
    4th judging unit includes：
    2nd U value judging units, the absolute value for judging each Δ U1 in the first U value judging units are less than the first default U During value, judge whether the absolute value of the Δ U2 that absolute value is minimum in each Δ U2 is more than the second default U values；
    2nd V value judging units, the absolute value for judging each Δ V1 in the first V value judging units are less than the first default V During value, judge whether the absolute value of the Δ V2 that absolute value is minimum in each Δ V2 is more than the second default V values.
  7. 7. device according to claim 6, it is characterised in that the pixel colourity processing unit includes：
    Pixel colourity handles subelement, for it is determined that each Δ U1 absolute value is less than the first default U values, and each Δ U2 of determination When the minimum Δ U2 of middle absolute value absolute value is more than the second default U values, the chromatic value of the current pixel point is arranged to each The average value of the chromatic value of the neighbor pixel point；And it is determined that each Δ V1 absolute value is less than the first default V values, and really When the minimum Δ V2 of absolute value absolute value is more than the second default V values in fixed each Δ V2, by the chromatic value of the current pixel point It is arranged to the average value of the chromatic value of each neighbor pixel point.
  8. 8. according to the device described in claim any one of 5-7, it is characterised in that several neighbours' pictures of the current pixel point Vegetarian refreshments is：
    Positioned at the top of current pixel point, lower section, the left and right four pixels.
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CN104717401B (en) * 2015-03-30 2017-12-29 北京三好互动教育科技有限公司 A kind of method and device for removing singular point noise
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101356799A (en) * 2005-12-14 2009-01-28 美光科技公司 Method and apparatus for image noise reduction
CN101515999A (en) * 2008-02-09 2009-08-26 富士通微电子株式会社 Image processing circuit, image processing method, and camera
CN102263965A (en) * 2010-05-31 2011-11-30 北京创毅视讯科技有限公司 Method and device for eliminating noises from analogue television signal
CN103929570A (en) * 2013-01-16 2014-07-16 富士通株式会社 Image processing method and system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8416323B2 (en) * 2005-05-19 2013-04-09 Mstar Semiconductor Inc. Noise reduction method and noise reduction apparatus
CN101122998B (en) * 2007-09-28 2010-06-23 宝利微电子系统控股公司 Image interpolation method and device based on direction detection
CN104717401B (en) * 2015-03-30 2017-12-29 北京三好互动教育科技有限公司 A kind of method and device for removing singular point noise

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101356799A (en) * 2005-12-14 2009-01-28 美光科技公司 Method and apparatus for image noise reduction
CN101515999A (en) * 2008-02-09 2009-08-26 富士通微电子株式会社 Image processing circuit, image processing method, and camera
CN102263965A (en) * 2010-05-31 2011-11-30 北京创毅视讯科技有限公司 Method and device for eliminating noises from analogue television signal
CN103929570A (en) * 2013-01-16 2014-07-16 富士通株式会社 Image processing method and system

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