CN106127698A - Image noise reduction treating method and apparatus - Google Patents
Image noise reduction treating method and apparatus Download PDFInfo
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- G06T5/70—
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
Abstract
The present invention relates to a kind of image noise reduction treating method and apparatus, described method includes: receive photographing instruction；It is continuously shot to obtain multiframe original image according to described photographing instruction；Obtain ambient brightness value corresponding to shooting environmental and/or ISO value；Judge whether to meet one of the most following condition: described ambient brightness value is less than or equal to brightness preset value；Described ISO value is more than or equal to ISO preset value；The original image treating noise reduction is the most then obtained according to described ambient brightness value or ISO value；Treat the RAW data of the original image of noise reduction described in acquisition, described RAW data are converted to yuv data, described yuv data is carried out multiframe noise reduction process and obtains exporting image.This method is used i.e. to can get clear image quality without manually regulation time of exposure or luminance gain under automatic shooting pattern.
Description
Technical field
The present invention relates to technical field of image processing, particularly relate to a kind of image noise reduction treating method and apparatus.
Background technology
Along with the development of technology, digital camera has been popularized, and also has in the mobile terminal such as smart mobile phone and panel computer
Shoot function.When full-automatic screening-mode, in order to meet picture brightness demand under low luminous environment, it will usually use long exposure
Or the mode of high brightness gain realizes.The mode of long exposure can allow picture pure, but along with time of exposure increases, takes pictures
Shi Ruguo has somewhat to rock and will cause fuzzy pictures.The mode of high brightness gain can make picture have bright with serious noise
Aobvious granular sensation.How in the case of need not manually regulate time of exposure or luminance gain, to obtain image clearly to become
A technical problem of solution is presently required.
Summary of the invention
Based on this, it is necessary to for above-mentioned technical problem, it is provided that a kind of under automatic shooting pattern without manually regulating exposure
Light time or luminance gain i.e. can get the image noise reduction treating method and apparatus of clear image quality.
A kind of image noise reduction processing method, described method includes:
Receive photographing instruction；
It is continuously shot to obtain multiframe original image according to described photographing instruction；
Obtain ambient brightness value corresponding to shooting environmental and/or ISO value；
Judge whether to meet one of the most following condition:
Described ambient brightness value is less than or equal to brightness preset value；
Described ISO value is more than or equal to ISO preset value；
The original image treating noise reduction is the most then obtained according to described ambient brightness value or ISO value；
Treat the RAW data of the original image of noise reduction described in acquisition, described RAW data are converted to yuv data, to described
Yuv data carries out multiframe noise reduction process and obtains exporting image.
Wherein in an embodiment, in the described original graph treating noise reduction according to described ambient brightness value or the acquisition of ISO value
As, before step, also including:
Obtaining color and lead table, described color is led table and is included ambient brightness value, ISO value and treat the number of original image of noise reduction
Corresponding relation between amount；
The ambient brightness value corresponding according to described shooting environmental or ISO value determine the number of the original image treating noise reduction of correspondence
Amount.
Wherein in an embodiment, described in treat the original image of noise reduction include treating the substrate image of noise reduction and other wait to drop
The original image made an uproar；Described acquisition according to described ambient brightness value or ISO value treats that the original image step of noise reduction includes:
Obtain multiframe original image to coke number；
Select the original image maximum to coke number, the described original image maximum to coke number is defined as treating the substrate of noise reduction
Image；
Quantity according to described ambient brightness value or the original image treating noise reduction of ISO value correspondence is in multiframe original image
Obtain other original images treating noise reduction.
Wherein in an embodiment, described described RAW data are converted to yuv data, described yuv data is carried out many
Frame noise reduction process and obtain export image step include:
The RAW data of the described original image treating noise reduction are converted to the yuv data of correspondence；
Yuv data corresponding for the original image treating noise reduction is split as luminance signal and colour signal；
Multiframe is treated, and luminance signal that the original image of noise reduction is corresponding and colour signal carry out multiframe noise reduction process respectively,
Luminance signal after noise reduction and the colour signal after noise reduction；
Luminance signal after described noise reduction and the colour signal after described noise reduction are synthesized YUV image；
YUV image after synthesis is carried out the noise reduction process of spatial frequency and obtains exporting image.
Wherein in an embodiment, described, described yuv data is carried out multiframe noise reduction process, obtain exporting image
After step, also include:
When exporting image and being shown, detect user's touch operation to display screen；
Obtain force value corresponding to described touch operation and compressing time；
If described force value is preset more than or equal to pressing less than or equal to pressure preset and described compressing time
Between, then obtain multiframe output image, and described multiframe output image is play displaying continuously.
A kind of image noise reduction processing means, described device includes:
Receiver module, is used for receiving photographing instruction；
Taking module, for being continuously shot to obtain multiframe original image according to described photographing instruction；
Acquisition module, for obtaining ambient brightness value corresponding to shooting environmental and/or ISO value；
Judge module, is used for judging whether to meet one of the most following condition: described ambient brightness value is less than or equal to bright
Degree preset value；Described ISO value is more than or equal to ISO preset value；
If described acquisition module is additionally operable to described ambient brightness value and is less than or equal to brightness preset value, and/or described ISO value
More than or equal to ISO preset value, then obtain the original image treating noise reduction according to described ambient brightness value or ISO value；Obtain described
Treat the RAW data of the original image of noise reduction；
Noise reduction module, for described RAW data are converted to yuv data, carries out multiframe noise reduction process to described yuv data
And obtain exporting image.
Wherein in an embodiment, described acquisition module is additionally operable to obtain color and leads table, and described color is led table and included
Ambient brightness value, ISO value and treat noise reduction original image quantity between corresponding relation；Corresponding according to described shooting environmental
Ambient brightness value or ISO value determine the quantity of the original image treating noise reduction of correspondence.
Wherein in an embodiment, described in treat the original image of noise reduction include treating the substrate image of noise reduction and other wait to drop
The original image made an uproar；Described acquisition module be additionally operable to obtain multiframe original image to coke number；Selection is original to coke number maximum
Image, is defined as treating the substrate image of noise reduction by the described original image maximum to coke number；According to described ambient brightness value or ISO
The quantity of the original image treating noise reduction that value is corresponding obtains other original images treating noise reduction in multiframe original image.
Wherein in an embodiment, described noise reduction module is additionally operable to the RAW data of the described original image treating noise reduction
Be converted to the yuv data of correspondence；Yuv data corresponding for the original image treating noise reduction is split as luminance signal and colour signal；
Multiframe is treated, and luminance signal that the original image of noise reduction is corresponding and colour signal carry out multiframe noise reduction process, after obtaining noise reduction respectively
Luminance signal and noise reduction after colour signal；Luminance signal after described noise reduction and the colour signal after described noise reduction are synthesized
For YUV image；YUV image after synthesis is carried out the noise reduction process of spatial frequency and obtains exporting image.
Wherein in an embodiment, described device also includes:
Detecting module, for when exporting image and being shown, detecting user's touch operation to display screen；
Described acquisition module is additionally operable to obtain force value corresponding to described touch operation and compressing time；
Display module, if for described force value less than or equal to pressure preset and described compressing time more than or etc.
In pressing Preset Time, then obtain multiframe output image, and described multiframe output image is play displaying continuously.
Above-mentioned image noise reduction treating method and apparatus, after receiving photographing instruction, is continuously shot according to photographing instruction, obtains
Multiframe original image.When shooting environmental corresponding less than or equal to brightness preset value, and/or the ISO value taking the photograph environment corresponding is more than
Or during equal to ISO preset value, represent and currently shoot in the environment of low smooth high-gain.According to the environment that shooting environmental is corresponding
Brightness value or ISO value obtain the original image treating noise reduction, and the RAW data treating the original image of noise reduction are converted to yuv data,
Yuv data is carried out multiframe noise reduction process, obtains exporting image.Former due to shooting is obtained in the environment of low smooth high-gain
Beginning image has carried out multiframe noise reduction process, therefore without manually regulation time of exposure or luminance gain under automatic shooting pattern
I.e. can get the image of clear image quality.
Accompanying drawing explanation
Fig. 1 is image noise reduction process flow figure in an embodiment；
Fig. 2 is the image shot under long Exposure mode in an embodiment；
Fig. 3 is the image shot under high brightness gain mode in an embodiment；
Fig. 4-1 is the design sketch after the original image noise reduction comprising GTG noise in an embodiment；
Fig. 4-2 is the Fig. 4-1 partial enlarged drawing after noise reduction process；
Fig. 5-1 is the design sketch after the original image noise reduction comprising chromatic noise in an embodiment；
Fig. 5-2 is the Fig. 5-1 partial enlarged drawing after noise reduction process；
Fig. 6 is the schematic diagram that in an embodiment, different ISO values carry out multiframe noise reduction；
Fig. 7 is the internal structure schematic diagram of terminal in an embodiment；
Fig. 8 is the structural representation of image noise reduction processing means in an embodiment；
Fig. 9 is the structural representation of image noise reduction processing means in another embodiment.
Detailed description of the invention
In order to make the purpose of the present invention, technical scheme and advantage clearer, below in conjunction with drawings and Examples, right
The present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, and
It is not used in the restriction present invention.
In one embodiment, as shown in Figure 1, it is provided that a kind of image noise reduction processing method, tool it is applied in this way
Illustrate as a example by having the terminal of camera function, specifically include:
Step 102, receives photographing instruction.
Step 104, is continuously shot according to photographing instruction, obtains multiframe original image.
Terminal includes digital camera, smart mobile phone, panel computer etc..Terminal receives the photographing instruction of user's input.Terminal
According to photographing instruction, subject is continuously shot, obtains multiframe original image.Terminal is when being continuously shot, no
Need to elongate time of exposure, it is not required that manually regulate luminance gain.After receiving photographing instruction, can clap continuously
Take the photograph.
Step 106, obtains ambient brightness value corresponding to shooting environmental and/or ISO value.
Step 108, it may be judged whether meet one of the most following condition: ambient brightness value is less than or equal to brightness preset value；
ISO value is more than or equal to ISO preset value；The most then perform step 110, otherwise, perform step 109, from multiframe original image
Select a frame original image to carry out noise reduction process, obtain exporting image.
When utilizing terminal to shoot, brightness, luminance gain and the time of exposure etc. that environment is corresponding, can be to image quality
There is more impact.Wherein, luminance gain can be regulated by regulation ISO (light sensitivitys) value.Terminal obtains place shooting environmental pair
The ambient brightness value answered and/or ISO value.Wherein, ambient brightness value refers to environment when terminal carries out preview to subject
Brightness value.ISO value refers to ISO value when terminal carries out preview to subject.Time under low luminous environment by increasing exposure
Between can improve image quality, but if Consumer's Experience is not good enough and has shake can cause fuzzy pictures, as shown in Figure 2 when taking pictures.
Can obtain faster shutter speed by improving ISO value, but after improving ISO value, image quality incurs loss, granular sensation is obvious,
As shown in Figure 3.
If ambient brightness value corresponding to shooting environmental is less than or equal to brightness preset value, represent that terminal is entered under low luminous environment
Row shooting.If ISO value corresponding to shooting environmental is more than or equal to ISO preset value, represent that terminal is at low smooth high brightness gain environment
Under shoot.If ambient brightness value corresponding to shooting environmental is corresponding less than or equal to brightness preset value and shooting environmental
ISO value is more than or equal to ISO preset value, represents that terminal shoots under low smooth high brightness gain environment.Such as, brightness is preset
Value is 320 etc. for 100lux, ISO preset value, represents that terminal shoots in the environment of low smooth high brightness gain.
If ambient brightness value is more than brightness preset value, and/or ISO value is less than ISO preset value, then terminal is at ZSL (Zero
Second Later, time-lapse shooting in zero second) queue obtains a frame original image of shooting.Concrete, terminal can be in ZSL team
Row select a frame original image maximum to coke number, namely selects a frame original image the most clearly to carry out noise reduction process.
The mode of noise reduction process can process to use tradition noise reduction mode, obtains exporting image.
Step 110, obtains the original image treating noise reduction according to ambient brightness value or ISO value.
When determining that terminal shoots under low smooth high-gain environment, terminal is according to ambient brightness corresponding to shooting environmental
Value or ISO value obtain the original image treating noise reduction from multiframe original image.The original image treating noise reduction can be that terminal is entered
Row is continuously shot the whole original images obtained, it is also possible to be partial original image.
The ambient brightness value difference that shooting environmental is corresponding, what terminal got treats that the quantity of the original image of noise reduction is different.
The ISO value difference that shooting environmental is corresponding, what terminal got treats that the quantity of the original image of noise reduction is the most different.
Step 112, obtains the RAW data of the original image treating noise reduction, RAW data is converted to yuv data, to YUV number
Obtain according to carrying out multiframe noise reduction process exporting image.
Treat the original image of noise reduction include treating the substrate image of noise reduction and other treat the original image of noise reduction.Terminal drops waiting
The original image made an uproar obtains wherein one as treating the substrate image of noise reduction, carry out multiframe with other original images treating noise reduction
Noise reduction process.
Concrete, terminal obtains treats that the original image of noise reduction (includes treating that the substrate image of noise reduction treats the former of noise reduction with other
Beginning image) RAW data, the original image treating noise reduction carries out basic handling, each frame is treated the RAW of the original image of noise reduction
Data are converted to YUV (a kind of colour coding method) data of correspondence.RAW (original) data are exactly to be remembered by the photo-sensitive cell of terminal
All data of the original image of record.Basic handling includes the correction of dark current correction, dark angle compensation, demosaicing, character used in proper names and in rendering some foreign names agate, color
Reduction and Bayer (a kind of image processing method) noise reduction process etc..
In conventional manner, Bayer noise reduction process can be carried out for original image under full-automatic screening-mode, enter the most again
The noise reduction process of row yuv space frequency domain, obtains exporting image.For the image shot under low smooth high brightness gain environment,
Although this processing mode can quickly remove the GTG noise and High frequency color noise produced under high brightness gain mode, but
Low frequency chromatic noise is but the most substantially.As shown in Fig. 4-1, for comprising the effect after a frame original image noise reduction of GTG noise
Figure.Partial enlarged drawing as shown in the Fig. 4-2, after noise reduction process, lose, and causes picture to present painterly style by picture detail.As
Shown in Fig. 5-1, for comprising the design sketch after a frame original image noise reduction of chromatic noise.Partial enlarged drawing as shown in Fig. 5-2, warp
After crossing noise reduction process, high-frequency noise is effectively eliminated, but low-frequency noise is the most substantially, causes picture color to overflow and saturated
Degree reduces.
In the present embodiment, terminal multiframe is treated the RAW data of the original image of noise reduction be converted to correspondence yuv data it
After, yuv data is carried out multiframe noise reduction process.
Wherein in an embodiment, RAW data are converted to yuv data, yuv data are carried out multiframe noise reduction process,
Obtain exporting image to include: the RAW data treating the original image of noise reduction are converted to the yuv data of correspondence；The former of noise reduction will be treated
The yuv data that beginning image is corresponding is split as luminance signal and colour signal；Multiframe is treated the brightness that the original image of noise reduction is corresponding
Signal and colour signal carry out multiframe noise reduction process respectively, obtain the luminance signal after noise reduction and the colour signal after noise reduction；Will
Luminance signal after noise reduction and the colour signal after noise reduction synthesize YUV image；YUV image after synthesis is carried out spatial frequency
Noise reduction process and obtain export image.
Each frame is treated that the RAW data of the original image of noise reduction are converted to the yuv data of correspondence by terminal.Yuv data is permissible
Use YUV420 form or YUV422 form etc..Yuv data includes luminance signal and colour signal, when yuv data uses
During YUV420 form, every four luminance signals share one group of colour signal；When yuv data uses YUV422 form, each two
Luminance signal shares one group of colour signal.
Each frame is treated that the yuv data that the original image of noise reduction is corresponding is split as luminance signal and colour signal by terminal.Eventually
End carries out multiframe noise reduction process respectively to multiple luminance signals and multiple colour signal.Concrete, terminal can be first to multiple
Luminance signal carries out multiframe noise reduction process, obtains the luminance signal after noise reduction, then carries out multiple colour signals at multiframe noise reduction
Reason, obtains the colour signal after noise reduction.Terminal first can also carry out multiframe noise reduction process to multiple colour signals, after obtaining noise reduction
Colour signal, more multiple luminance signals are carried out multiframe noise reduction process, obtain the luminance signal after noise reduction.In order to enter one
Step improves treatment effeciency, and terminal can also carry out the multiframe noise reduction process of multiple luminance signal and multiple colour signal simultaneously
Multiframe noise reduction process.
Terminal utilizes the image of the luminance signal after noise reduction and the synthesis yuv format of the colour information after noise reduction (to be called for short YUV figure
Picture).YUV image after synthesis can use YUV420 form, it would however also be possible to employ YUV422 form etc..Terminal is by after synthesis
YUV image carries out the noise reduction process of spatial frequency and obtains exporting image.Output image can be the image of JPG form.Output
Image is exported by display screen, shows user.
In the present embodiment, after receiving photographing instruction, it is continuously shot according to photographing instruction, obtains multiframe original image.When
Shooting environmental corresponding less than or equal to brightness preset value, and/or take the photograph ISO value corresponding to environment more than or equal to ISO preset value
Time, represent and currently shoot in the environment of low smooth high-gain.The ambient brightness value corresponding according to shooting environmental or ISO value are come
Obtain the original image treating noise reduction, the RAW data treating the original image of noise reduction are converted to yuv data, yuv data is carried out many
Frame noise reduction process, obtains exporting image.Original image owing to obtaining shooting in the environment of low smooth high-gain has carried out many
Frame noise reduction process, therefore without the i.e. available clear picture of manually regulation time of exposure or luminance gain under automatic shooting pattern
The image of matter.
In one embodiment, the method also includes: detecting user's touch operation to display screen；Obtain touch operation pair
The compressing time answered, it is judged that whether compressing time exceedes Preset Time；The most then enter quick continuous shooting according to described touch operation
Pattern, is continuously shot multiframe original image under described quick burst mode, and multiframe original image carries out noise reduction process, output
Image after multiframe noise reduction.
In the present embodiment, if the compressing time that terminal detection user touches display screen exceedes Preset Time, then terminal is entered
Enter quick burst mode.Under quick burst mode, terminal carries out the most quickly shooting, shoots multiframe original image.Such as,
20 frame original images can be continuously shot under quick burst mode.Terminal carries out noise reduction to the every frame original image being continuously shot
Processing, concrete, terminal carries out Bayer noise reduction process and the YUV noise reduction of spatial frequency domain to the every frame original image being continuously shot
Process, obtain the image after noise reduction.Image after noise reduction can be JPG form.Thus carry out burst mode for user to provide
Convenient.
In one embodiment, before obtain the original image step treating noise reduction according to ambient brightness value or ISO value, also
Including: obtaining color and lead table, color is led table and is included between ambient brightness value, ISO value and the quantity of original image treating noise reduction
Corresponding relation；The quantity of the original image treating noise reduction of correspondence is determined according to ambient brightness value or ISO value.
Quantity and the noise reduction engine of the original image treating noise reduction required during multiframe noise reduction is carried out under different exposure
Parameter difference is set.If noise-reduced image quantity is too much, slowing of multiframe noise reduction process can be made.In noise reduction engine
Parameter could be arranged to different intensity, and the highest noise reduction of parameter intensity is the best.Therefore, choosing is needed when carrying out multiframe noise reduction
Take the parameter intensity that the quantity of the original image suitably treating noise reduction is corresponding with noise reduction engine.
In the present embodiment, terminal stores color and leads table.Color is led table and is included ambient brightness value, ISO value, treats noise reduction
Multiple parameters such as the quantity of original image, signal to noise ratio, the standard deviation before multiframe noise reduction and the standard deviation after multiframe noise reduction
Between corresponding relation, as shown in Table 1.Wherein, the standard deviation before multiframe noise reduction refers to that original image is only through basic noise reduction
Standard deviation after process, standard deviation is equivalent to noise level.Standard deviation after multiframe noise reduction is than the mark before multiframe noise reduction
Quasi-deviation is low, it is seen that after multiframe noise reduction process, noise is inhibited, and it is clear that image quality becomes.
Table one:
From the point of view of table one, when ambient brightness is less than less than 320 higher than 100lux, ISO value, signal to noise ratio is higher close
30dB, image quality ratio is more visible, now can not do multiframe noise reduction process.When ambient brightness is between 75lux～100lux,
When ISO value is between 320～400, signal to noise ratio can decline, and about declines 2dB～3dB, and this can allow human eye sensation image quality have and compare
Significant change, it is therefore desirable to start multiframe noise reduction process.Therefore, the data led in table according to color can arrange out relatively reasonable
Brightness preset value and ISO preset value.
Lead table by color and ambient brightness and ISO value are carried out segmentation, along with reduction and the increasing of ISO value of ambient brightness
Height, resolution is gradually reduced, and needs the quantity carrying out the original image treating noise reduction of multiframe noise reduction process to increase.Terminal obtains
After ambient brightness value that shooting environmental is corresponding and ISO value, ambient brightness value or ISO value are led table with color and compares, according to
The paragraph that ambient brightness value or ISO value fall in color leads table, thus quickly determine waiting needed for carrying out multiframe noise reduction process
The quantity of the original image of noise reduction.
In one embodiment, treat that the original image of noise reduction includes treating that the substrate image of noise reduction treats the original of noise reduction with other
Image；Obtain according to ambient brightness value or ISO value and treat that the original image step of noise reduction includes: obtain the focusing of multiframe original image
Value；Select the original image maximum to coke number, the original image maximum to coke number is defined as treating the substrate image of noise reduction；According to
The quantity of the original image treating noise reduction of ambient brightness value or ISO value correspondence obtains other in multiframe original image and treats noise reduction
Original image.
In the present embodiment, after terminal obtains ambient brightness value corresponding to shooting environmental and/or ISO value, lead table according to color
In data quickly determine the quantity of the original image treating noise reduction.Treat the original image of noise reduction include treating noise reduction substrate image and
Other treat the original image of noise reduction.
Terminal obtains the multiframe original image of shooting in ZSL queue.Terminal obtain original image to coke number, it is right to select
The maximum frame original image of coke number, as treating the substrate image of noise reduction, namely selects a frame original image conduct the most clearly
Treat the substrate image of noise reduction.Quantity according to the original image treating noise reduction obtains other in multiframe original image and treats the former of noise reduction
Beginning image.Concrete, terminal is according to shooting order, and after the substrate image treating noise reduction, basis treats the number of the original image of noise reduction
Amount obtains other original images treating noise reduction.Terminal also obtain all original images in ZSL queue to coke number, by all former
Being ranked up coke number of beginning image, according to the number to coke number He the original image treating noise reduction that the substrate image treating noise reduction is corresponding
Amount obtains other original images treating noise reduction.Owing to other treat that the original image of noise reduction is according to coke number from high to low suitable
Sequence obtains, therefore after multiframe noise reduction process, it is possible to obtain the image that image quality is apparent.
Multiframe noise reduction refer to multiframe until the original image of noise reduction after basic noise reduction process, to treat noise reduction after processing
Substrate image as substrate, with process after other treat that the original image of noise reduction is overlapped removing noise.Such as, wait to drop
The quantity of the original image made an uproar is 2 frames, and in the substrate image treating noise reduction after process, the noise at certain pixel is 5dB, after process
Other treat that the original image of noise reduction noise at this pixel is-5dB, then in this pixel after this 2 frame original image superposition
The noise at place is 0, thus effectively eliminates the noise at this pixel.
Terminal obtains the RAW data of the original image treating that the substrate image of noise reduction and other treat noise reduction, by the conversion of RAW data
For corresponding yuv data.And yuv data corresponding for the substrate image treating noise reduction is split as luminance signal and colour information,
Other are treated, and the yuv data that the original image of noise reduction is corresponding is split as luminance signal and colour signal.Terminal will treat the base of noise reduction
The luminance signal that base map picture is corresponding treats that with other luminance signal that original image of noise reduction is corresponding carries out multiframe noise reduction process, obtains
Luminance signal after noise reduction.Colour signal corresponding for the substrate image treating noise reduction is treated the original image pair of noise reduction with other by terminal
The colour signal answered carries out multiframe noise reduction process, obtains the colour signal after noise reduction.Terminal is by the luminance signal after noise reduction and fall
Colour signal after making an uproar synthesizes the image (abbreviation YUV image) of a frame yuv format, and carries out the YUV image after synthesis
The noise reduction process of spatial frequency, thus obtains image quality and exports image clearly.
During different exposure intensity, the data led in table according to color are needed to select varying number to treat the original graph of noise reduction
Picture.Along with the reduction of ambient brightness value and increasing of ISO value, in order to obtain image quality clearly, treat the original image of noise reduction
Quantity is also required to increase therewith.As shown in Figure 6, when ISO value is 800, treat that the quantity of the original image of noise reduction is 2；When ISO value
When being 1250, treat that the quantity of the original image of noise reduction is 3；When ISO value is 2000, treat that the quantity of the original image of noise reduction is 4；
When ISO value is 2500, treat that the quantity of the original image of noise reduction is 5；When ISO value is 3200, treat the original image of noise reduction
Quantity is 6.
In one embodiment, yuv data is being carried out multiframe noise reduction process, after obtaining the step of output image, also
Including: when exporting image and being shown, detect user's touch operation to display screen；Obtain the force value that touch operation is corresponding
And compressing time；If force value is more than or equal to pressing Preset Time less than or equal to pressure preset and compressing time, then
Obtain multiframe output image, and multiframe output image is play displaying continuously.
In the present embodiment, user can carry out touch operation by finger to display screen.Display screen can be OLED
(Organic Light-Emitting Diode, Organic Light Emitting Diode) touch screen, it is also possible to be LCD (Liquid
Crystal Display, liquid crystal display) touch screen, it is also possible to it is pressure screen (being also called pressure sensitive screen) etc..
Touch operation can include clicking on, firmly pressing and long by.Force value can be touched respectively as identifying with compressing time
Touch two dimensions of operation.Concrete, can be by the ratio of force value (representing with x) Yu pressure preset (representing with X)
Relatively, and being relatively identified of compressing time (representing with t) and time preset value (representing with T).Such as following table two institute
Show:
Table two:
| Force value | x<X | x>X | x≤X |
| Compressing time | t<T | t<T | t≥T |
| Touch operation | Click on | Firmly pressing | Length is pressed |
As shown in Table 1, when x < X and t < during T, touch operation is identified as click on, by click on can be to application program
Icon carries out triggering or virtual key being carried out triggering etc..When x>=X and t<during T, be identified as touch operation firmly pressing,
Prompt operation panel can be shown by firmly pressing, be carried out by the control corresponding to the application program in prompt operation panel
Trigger, application program can be started or switch, or the page in application program is switched over.When x<X and t>=
During T, touch operation is identified as long by.When exporting image and being shown, by long currently displaying by screen can be obtained
All of output image under file, and the output image under this document folder is carried out continuously broadcasting display.
In the present embodiment, when exporting image and being shown, by detecting user's touch operation to display screen, if touched
Touch force value corresponding to operation and be more than or equal to pressing Preset Time less than or equal to pressure preset and compressing time, then may be used
It is shown with broadcasting multiframe output image continuously.Click on the most one by one therefore without user, can conveniently check multiframe
Export image clearly, provide users with the convenient.
As it is shown in fig. 7, be the internal structure schematic diagram of terminal in an embodiment.This terminal includes by system bus even
Processor, non-volatile memory medium, built-in storage and network interface, display screen, filming apparatus and the input equipment connect.Its
In, the non-volatile memory medium storage of terminal has operating system, also includes a kind of image noise reduction processing means, this image noise reduction
Processing means is used for realizing a kind of image noise reduction processing method.This processor is used for providing calculating and control ability, supports whole
The operation of terminal.The operation that built-in storage in terminal is the image noise reduction processing means in non-volatile memory medium provides ring
Border, can store computer-readable instruction in this built-in storage, this computer-readable instruction is when executed by, and can make place
Reason device performs a kind of image noise reduction processing method.Output, for carrying out network service with server, is schemed by network interface as sent
Share etc. as uploading onto the server.The display screen of terminal can be LCDs or electric ink display screen etc., defeated
Entering device can be the touch layer covered on display screen.
In one embodiment, as shown in Figure 8, it is provided that a kind of image noise reduction processing means, including: receiver module 802,
Taking module 804, acquisition module 806, judge module 808 and noise reduction module 810, wherein:
Receiver module 802, is used for receiving photographing instruction.
Taking module 804, for being continuously shot according to photographing instruction, obtains multiframe original image.
Acquisition module 806, for obtaining ambient brightness value corresponding to shooting environmental and/or ISO value.
Judge module 808, is used for judging whether to meet one of the most following condition: ambient brightness value is less than or equal to brightness
Preset value；ISO value is more than or equal to ISO preset value.
If acquisition module 802 is additionally operable to ambient brightness value less than or equal to brightness preset value, and/or ISO value is more than or etc.
In ISO preset value, then obtain the original image treating noise reduction according to ambient brightness value or ISO value；Obtain the original image treating noise reduction
RAW data.
Noise reduction module 810, for RAW data are converted to yuv data, carry out multiframe noise reduction process to yuv data and obtains
To output image.
In one embodiment, acquisition module 806 is additionally operable to obtain color and leads table, and color is led table and included ambient brightness
Value, ISO value and treat noise reduction original image quantity between corresponding relation；The ambient brightness value corresponding according to shooting environmental or
ISO value determines the quantity of the original image treating noise reduction of correspondence.
In one embodiment, treat that the original image of noise reduction includes treating that the substrate image of noise reduction treats the original of noise reduction with other
Image；Acquisition module 806 be additionally operable to obtain multiframe original image to coke number；Select the original image maximum to coke number, by right
The original image of coke number maximum is defined as treating the substrate image of noise reduction；According to ambient brightness value or ISO value corresponding treat noise reduction
The quantity of original image obtains other original images treating noise reduction in multiframe original image.
In one embodiment, noise reduction module 810 is additionally operable to the RAW data of the original image by treating noise reduction and is converted to correspondence
Yuv data；Yuv data corresponding for the original image treating noise reduction is split as luminance signal and colour signal；Wait to drop by multiframe
Luminance signal and colour signal that the original image made an uproar is corresponding carry out multiframe noise reduction process respectively, obtain the luminance signal after noise reduction
With the colour signal after noise reduction；Luminance signal after noise reduction and the colour signal after noise reduction are synthesized YUV image；After synthesizing
YUV image carry out the noise reduction process of spatial frequency and obtain exporting image.
In one embodiment, as it is shown in figure 9, this device also includes: detecting module 812 and display module 814, wherein:
Detecting module 812, for when exporting image and being shown, detecting user's touch operation to display screen.
Acquisition module is additionally operable to obtain force value corresponding to touch operation and compressing time.
Display module 814, if being more than or equal to press less than or equal to pressure preset and compressing time for force value
Pressure Preset Time, then obtain multiframe output image, and multiframe output image play displaying continuously.
Above example only have expressed the several embodiments of the present invention, and it describes more concrete and detailed, but can not
Therefore the restriction to the scope of the claims of the present invention it is interpreted as.It should be pointed out that, for the person of ordinary skill of the art,
Without departing from the inventive concept of the premise, it is also possible to make some deformation and improvement, these broadly fall into the protection model of the present invention
Enclose.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. an image noise reduction processing method, described method includes:
Receive photographing instruction；
It is continuously shot to obtain multiframe original image according to described photographing instruction；
Obtain ambient brightness value corresponding to shooting environmental and/or ISO value；
Judge whether to meet one of the most following condition:
Described ambient brightness value is less than or equal to brightness preset value；
Described ISO value is more than or equal to ISO preset value；
The original image treating noise reduction is the most then obtained according to described ambient brightness value or ISO value；
Treat the RAW data of the original image of noise reduction described in acquisition, described RAW data are converted to yuv data, to described YUV number
Obtain according to carrying out multiframe noise reduction process exporting image.
Method the most according to claim 1, it is characterised in that obtain according to described ambient brightness value or ISO value described
Before treating the original image step of noise reduction, also include:
Obtain color lead table, described color lead table include ambient brightness value, ISO value and treat noise reduction original image quantity it
Between corresponding relation；
The ambient brightness value corresponding according to described shooting environmental or ISO value determine the quantity of the original image treating noise reduction of correspondence.
Method the most according to claim 2, it is characterised in that described in treat that the original image of noise reduction includes treating the substrate of noise reduction
Image treats the original image of noise reduction with other；The described original image treating noise reduction according to described ambient brightness value or the acquisition of ISO value
Step includes:
Obtain multiframe original image to coke number；
Select the original image maximum to coke number, the described original image maximum to coke number is defined as treating the substrate figure of noise reduction
Picture；
Quantity according to described ambient brightness value or the original image treating noise reduction of ISO value correspondence obtains in multiframe original image
Other treat the original image of noise reduction.
Method the most according to claim 1, it is characterised in that described described RAW data are converted to yuv data, to institute
State yuv data to carry out multiframe noise reduction process and obtain exporting image step and include:
The RAW data of the described original image treating noise reduction are converted to the yuv data of correspondence；
Yuv data corresponding for the original image treating noise reduction is split as luminance signal and colour signal；
Multiframe is treated, and luminance signal that the original image of noise reduction is corresponding and colour signal carry out multiframe noise reduction process respectively, is dropped
Luminance signal after making an uproar and the colour signal after noise reduction；
Luminance signal after described noise reduction and the colour signal after described noise reduction are synthesized YUV image；
YUV image after synthesis is carried out the noise reduction process of spatial frequency and obtains exporting image.
Method the most according to claim 1, it is characterised in that described yuv data is carried out multiframe noise reduction process described,
After obtaining the step of output image, also include:
When exporting image and being shown, detect user's touch operation to display screen；
Obtain force value corresponding to described touch operation and compressing time；
If described force value is more than or equal to pressing Preset Time less than or equal to pressure preset and described compressing time, then
Obtain multiframe output image, and described multiframe output image is play displaying continuously.
6. an image noise reduction processing means, it is characterised in that described device includes:
Receiver module, is used for receiving photographing instruction；
Taking module, for being continuously shot to obtain multiframe original image according to described photographing instruction；
Acquisition module, for obtaining ambient brightness value corresponding to shooting environmental and/or ISO value；
Judge module, is used for judging whether to meet one of the most following condition: described ambient brightness value is pre-less than or equal to brightness
If value；Described ISO value is more than or equal to ISO preset value；
If described acquisition module is additionally operable to described ambient brightness value and is less than or equal to brightness preset value, and/or described ISO value is more than
Or equal to ISO preset value, then obtain the original image treating noise reduction according to described ambient brightness value or ISO value；Wait described in acquisition to drop
The RAW data of the original image made an uproar；
Noise reduction module, for described RAW data are converted to yuv data, carry out multiframe noise reduction process to described yuv data and obtains
To output image.
Device the most according to claim 6, it is characterised in that described acquisition module is additionally operable to obtain color and leads table, described
Color lead table include ambient brightness value, ISO value and treat noise reduction original image quantity between corresponding relation；According to described
Ambient brightness value that shooting environmental is corresponding or ISO value determine the quantity of the original image treating noise reduction of correspondence.
Device the most according to claim 7, it is characterised in that described in treat that the original image of noise reduction includes treating the substrate of noise reduction
Image treats the original image of noise reduction with other；Described acquisition module be additionally operable to obtain multiframe original image to coke number；It is right to select
The original image that coke number is maximum, is defined as treating the substrate image of noise reduction by the described original image maximum to coke number；According to described
The quantity of the original image treating noise reduction of ambient brightness value or ISO value correspondence obtains other in multiframe original image and treats noise reduction
Original image.
Device the most according to claim 6, it is characterised in that described noise reduction module is additionally operable to treat the original of noise reduction by described
The RAW data of image are converted to the yuv data of correspondence；Yuv data corresponding for the original image treating noise reduction is split as brightness letter
Number and colour signal；Multiframe is treated, and luminance signal that the original image of noise reduction is corresponding and colour signal are carried out at multiframe noise reduction respectively
Reason, obtains the luminance signal after noise reduction and the colour signal after noise reduction；After the luminance signal after described noise reduction and described noise reduction
Colour signal synthesize YUV image；YUV image after synthesis is carried out the noise reduction process of spatial frequency and obtains output figure
Picture.
Device the most according to claim 6, it is characterised in that described device also includes:
Detecting module, for when exporting image and being shown, detecting user's touch operation to display screen；
Described acquisition module is additionally operable to obtain force value corresponding to described touch operation and compressing time；
Display module, if being more than or equal to press less than or equal to pressure preset and described compressing time for described force value
Pressure Preset Time, then obtain multiframe output image, and described multiframe output image play displaying continuously.
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| CN201610424790.5A CN106127698A (en) | 2016-06-15 | 2016-06-15 | Image noise reduction treating method and apparatus |
| PCT/CN2017/087426 WO2017215501A1 (en) | 2016-06-15 | 2017-06-07 | Method and device for image noise reduction processing and computer storage medium |
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