CN108282616A

CN108282616A - Processing method, device, storage medium and the electronic equipment of image

Info

Publication number: CN108282616A
Application number: CN201810097896.8A
Authority: CN
Inventors: 杨涛; 谭国辉
Original assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Current assignee: Guangdong Oppo Mobile Telecommunications Corp Ltd
Priority date: 2018-01-31
Filing date: 2018-01-31
Publication date: 2018-07-13
Anticipated expiration: 2038-01-31
Also published as: CN108282616B; WO2019148997A1

Abstract

This application discloses a kind of processing method of image, device, storage medium and electronic equipments.This method is applied to terminal, which includes at least the first camera module and the second camera module, this method include：First group of image and second group of image are obtained, which seems the image acquired by first camera module, which seems the image acquired by second camera module；The first image is determined from first group of image, and determines the second image from second group of image, and first image and second image are the images of synchronous acquisition；Depth of view information is obtained according to first image and second image；Noise reduction process is carried out to first image according to first group of image, obtains target image；According to the depth of view information, default processing is carried out to the target image.The present embodiment can improve the imaging effect of image.

Description

Processing method, device, storage medium and the electronic equipment of image

Technical field

The application belongs to technical field of image processing more particularly to a kind of processing method of image, device, storage medium And electronic equipment.

Background technology

With the continuous development of hardware technology, the configuration for the hardware installed in terminal is also higher and higher.Currently, many whole End is all equipped with double camera modules.By means of double camera modules, the horizontal promotion that can be obtained by a relatively large margin of taking pictures of terminal. For example, using double camera modules of colour imagery shot and black and white camera collocation composition, terminal can be made to be captured when taking pictures More details.And double camera modules of two colour imagery shot collocation compositions are used, terminal can be made to possess when taking pictures double Light-inletting quantity again etc..

Invention content

The embodiment of the present application provides a kind of processing method of image, device, storage medium and electronic equipment, can improve The imaging effect of image.

The embodiment of the present application provides a kind of processing method of image, is applied to terminal, and the terminal is taken the photograph including at least first Picture module and the second camera module, the method includes：

First group of image and second group of image are obtained, first group picture seems to be acquired by first camera module Image, second group picture seem the image acquired by second camera module；

The first image is determined from first group of image, and determines the second image from second group of image, Described first image and second image are the images of synchronous acquisition；

Depth of view information is obtained according to described first image and second image；

Noise reduction process is carried out to described first image according to first group of image, obtains target image；

According to the depth of view information, default processing is carried out to the target image.

The embodiment of the present application provides a kind of processing unit of image, is applied to terminal, and the terminal is taken the photograph including at least first As module and the second camera module, described device include：

First acquisition module, for obtaining first group of image and second group of image, first group picture seems by described the The image of one camera module acquisition, second group picture seems the image acquired by second camera module；

Determining module, for determining the first image from first group of image, and from second group of image really The second image is made, described first image and second image are the images of synchronous acquisition；

Second acquisition module, for obtaining depth of view information according to described first image and second image；

Noise reduction module obtains target figure for carrying out noise reduction process to described first image according to first group of image Picture；

Processing module, for according to the depth of view information, default processing to be carried out to the target image.

The embodiment of the present application provides a kind of storage medium, computer program is stored thereon with, when the computer program exists When being executed on computer so that the computer executes the step in the processing method of image provided by the embodiments of the present application.

The embodiment of the present application also provides a kind of electronic equipment, including memory, processor, and the processor passes through calling The computer program stored in the memory, the step in processing method for executing image provided by the embodiments of the present application Suddenly.

In the present embodiment, terminal can carry out noise reduction process, obtained target figure using first group of first image of image pair As its random noise is few.Also, the first image and the second image that terminal can be arrived according to synchronous acquisition obtain depth of view information, Therefore the depth of view information that terminal is got is more acurrate.I.e. less in the noise of target image, the depth of view information got is more acurrate In the case of, the present embodiment carries out the target image that background blurring effect is also more preferable, i.e., it is background blurring after target image Its imaging effect is good.Further, since the step of carrying out multiframe noise reduction using first group of first image of image pair can with according to the The step of one image and the second image obtain depth of view information executes parallel, therefore the present embodiment can also improve image procossing speed Degree, effectively avoids the problem that processing speed is slow caused by multiframe noise reduction.

Description of the drawings

Below in conjunction with the accompanying drawings, it is described in detail by the specific implementation mode to the present invention, technical scheme of the present invention will be made And advantage is apparent.

Fig. 1 is the flow diagram of the processing method of image provided by the embodiments of the present application.

Fig. 2 is another flow diagram of the processing method of image provided by the embodiments of the present application.

Fig. 3 to Fig. 5 is the scene and processing flow schematic diagram of the processing method of image provided by the embodiments of the present application.

Fig. 6 is the structural schematic diagram of the processing unit of image provided by the embodiments of the present application.

Fig. 7 is the structural schematic diagram of mobile terminal provided by the embodiments of the present application.

Fig. 8 is the structural schematic diagram of electronic equipment provided by the embodiments of the present application.

Specific implementation mode

Schema is please referred to, wherein identical component symbol represents identical component, the principle of the present invention is to implement one It is illustrated in computing environment appropriate.The following description be based on illustrated by the specific embodiment of the invention, should not be by It is considered as the limitation present invention other specific embodiments not detailed herein.

It is understood that the executive agent of the embodiment of the present application can be smart mobile phone or tablet computer etc. Terminal device.

Referring to Fig. 1, Fig. 1 is the flow diagram of the processing method of image provided by the embodiments of the present application.The image Processing method can be applied to terminal.The terminal can be smart mobile phone or tablet computer etc. equipped with double camera modules Any electronic equipment.The flow of the processing method of the image may include：

In step S101, it seems by the first camera module to obtain first group of image and second group of image, first group picture The image of acquisition, second group picture seem the image acquired by the second camera module.

With the continuous development of hardware technology, the configuration for the hardware installed in terminal is also higher and higher.Currently, many whole End is all equipped with double camera modules.By means of double camera modules, the horizontal promotion that can be obtained by a relatively large margin of taking pictures of terminal. For example, using double camera modules of colour imagery shot and black and white camera collocation composition, terminal can be made to be captured when taking pictures More details.And double camera modules of two colour imagery shot collocation compositions are used, terminal can be made to possess when taking pictures double Light-inletting quantity again etc..However, in the related technology, the image that its processing of the terminal of the double camera modules of carrying obtains, imaging effect It is poor.

In the step S101 of the embodiment of the present application, for example, first taking the photograph of can first obtaining in its double camera module of terminal Second group of image that the second camera module in the first group of image and double camera modules that are acquired as module acquires.This Include multiple image in one group of image, also includes multiple image in second group of image.

In some embodiments, after user opens camera applications and before pressing and taking pictures button, double camera shooting moulds of terminal Group can constantly synchronous acquisition image, these the image collected be possibly stored in buffer queue.Terminal can be slow from this It deposits and obtains image in queue, and show on a terminal screen, for user's preview.

In one embodiment, which can be fixed length queue.For example, the length of the buffer queue is 4 Element.That is, storing camera module collected 4 frame image recently in the buffer queue.For example, the first camera module corresponds to First queue in cached its collected 4 frame image recently, cached it in the corresponding second queue of the second camera module The 4 frame images arrived recently with the first camera module synchronous acquisition.Also, back the image collected can override front acquisition The image arrived.For example, according to the sequence of acquisition time priority, A1, A2, A3, A4 this 4 frame image has been cached in first queue, when When first camera module collects A5 images, terminal can be by the A1 image-erasings in first queue, and are inserted into A5 images, from And first queue is made to become A2, A3, A4, A5.

In one embodiment, when terminal acquires image using double camera modules, the first camera module and second is taken the photograph As module can be with synchronous acquisition image.For example, the first camera module collects A1 images, the second camera module can be synchronized and be adopted Collect B1 images.For example, cached A1, A2, A3, A4 this 4 frame image in first queue, cached in second queue B1, B2, This 4 frame image of B3, B4, then A1 and B1 are the images of synchronous acquisition, A2 and B2 are the images of synchronous acquisition, and A3 and B3 are same The image of acquisition is walked, A4 and B4 are the images of synchronous acquisition.

Certainly, after user presses and takes pictures button, the camera module of terminal can also acquire image.

Therefore, in some embodiments, first group of image can be only pressed comprising user take pictures button before by first Camera module the image collected, or only pressed comprising user take pictures button after by first camera module the image collected, Or not only press comprising user take pictures button before by first camera module the image collected, but also include user press take pictures by By first camera module the image collected after button.

For example, before user presses and takes pictures button, the first camera module collects A1, A2, A3, A4 this 4 frame image, User presses take pictures button after, the first camera module collects A5, A6, A7, A8 this 4 photograph frame.So, first group of image can To be A1, A2, A3, A4 either A2, A3, A4, A5 either A3, A4, A5, A6 or A5, A6, A7, A8 etc..In some implementations In mode, first group of image can be the collected successive frame of the first camera, can also be discontinuous frame, as A2, A3, A5, A6 etc..Second group of image is similarly.

In step s 102, the first image is determined from first group of image, and is determined from second group of image Second image, first image and second image are the images of synchronous acquisition.

For example, in first group of image A1, A2, A3, A4 for getting the acquisition of the first camera module and the second camera shooting mould Group acquisition second group of image B1, B2, B3, B4 after, terminal can determine the first image from A1, A2, A3, A4, then from The second image is determined in B1, B2, B3, B4.Wherein, which can be the image with the first picture synchronization collection.

For example, the A2 in A1, A2, A3, A4 is determined as the first image by terminal, then terminal can be correspondingly true by B2 It is set to the second image.

In step s 103, depth of view information is obtained according to first image and second image.

For example, after determining the first image and the second image, terminal can be obtained according to first image and the second image Take depth of view information.It is understood that since first image and the second image are double camera modules in terminal from different bats It acts as regent and sets the image that (angle) synchronous acquisition arrives, therefore depth of view information can be obtained according to the first image and the second image.

It should be noted that the depth of view information is for the focusing object in image, it is to determine to focus The depth of view information got after object.

In step S104, noise reduction process is carried out to first image according to first group of image, obtains target image.

For example, when first group of image is including at least two field pictures, terminal can be according at least two frames in first group of image The first image of image pair carries out noise reduction process, to obtain target image.For example, terminal can be removed according in first group of image Other images outside first image carry out noise reduction process to first image.For example, the first image is A2 images, then terminal It can be using the first image A2 as the basic frame of noise reduction process, and according to this 3 frame image pair of A1, A3, A4 in first group of image A2 carries out noise reduction process.That is, terminal can according to this 3 frame image recognition of A1, A3, A4 and reduce in basic frame A2 images with Machine noise, to obtain the target image by noise reduction.

In some embodiments, the first image of image noise reduction algorithm pair can also be used to carry out noise reduction process, for example, figure As noise reduction algorithm may include wavelet de-noising algorithm, smothing filtering algorithm etc..

In step S105, according to the depth of view information, default processing is carried out to the target image.

For example, after obtaining target image, terminal can carry out the target image according to the depth of view information got Default processing.

In some embodiments, which can be background blurring and image 3D applications processing etc..

It is understood that in the present embodiment, terminal can be carried out according to first group of first image of image pair at noise reduction Reason, obtained target image noise are few.Also, the first image and the second image that terminal can be arrived according to synchronous acquisition obtain Depth of view information, therefore the depth of view information that terminal is got is more acurrate.Therefore, terminal according to the depth of view information to the target image Default processing is carried out, image its imaging effect that can to obtain after processing is more preferable.

Referring to Fig. 2, Fig. 2 is another flow diagram of the processing method of image provided by the embodiments of the present application, flow May include：

In step s 201, terminal obtains first group of image and second group of image, which seems by the first camera shooting The image of module acquisition, which seems the image acquired by the second camera module.

For example, being equipped with double camera modules in terminal, which includes the first camera module and the second camera shooting mould Group.Wherein, first camera module and second camera module can be with synchronous acquisition images.Comprising more in first group of image Frame image also includes multiple image in second group of image.Terminal can be under same photographed scene using double camera modules Multiple image of the Quick Acquisition about identical reference object.

It is described previously such as the present embodiment, for example, it is A1, A2, A3, A4 that the first camera module, which collects first group of image, This 4 frame image.The collected second group of image of second camera module is this 4 frame image of B1, B2, B3, B4.

In step S202, terminal obtains the clarity of each frame image in first group of image.

For example, after first group of image A1, A2, A3, A4 for getting the acquisition of the first camera module, terminal can obtain The clarity of image A1, A2, A3, A4.

For example, the value range of the numerical value of the clarity of image is 0~100, the bigger expression image of numerical value of clarity is more Clearly.For example, the clarity of A1, A2, A3, A4 are followed successively by 80,83,81,79 in first group of image.

In step S203, if each frame image of first group of image includes face, terminal obtains first group of image In each frame image parameter preset numerical value, the numerical value of the parameter preset is used to indicate the eyes size of face in image.

For example, after the clarity for getting image A1, A2, A3, A4, terminal detects each in first group of image Frame image includes face, then terminal can further obtain the number of the parameter preset of each frame image in first group of image Value.Wherein, the numerical value of the parameter preset can be used to indicate that the eyes size of face in image.

In one embodiment, terminal can be big come the eyes for obtaining face in image by some preset algorithms Small, these algorithms can export the numerical value for indicating eyes size, can be that the bigger expression eyes of numerical value are bigger.

Alternatively, terminal can also first identify the eye portion in face and the first mesh of eye portion region Pixel quantity is marked, then calculates the ratio of total pixel quantity in the first object pixel quantity and image, the bigger table of ratio again Show that eyes are bigger.Or terminal can only calculate second pixel quantity of the eyes shared by picture altitude direction, Yi Jitu As the total pixel number amount of short transverse.Then, terminal calculates total picture in the second object pixel quantity and picture altitude direction again The ratio of prime number amount, ratio is bigger, and expression eyes are bigger.

For example, it is used to indicate that the value range of the numerical value of the parameter preset of eyes size is 0~50, the bigger expression of numerical value Human eye is bigger in image.For example, in first group of image the numerical value of the parameter preset of A1, A2, A3, A4 be followed successively by 40,41,42, 39。

In step S204, terminal obtains the first weight corresponding with clarity, and corresponding with parameter preset second Weight.

For example, in getting first group of image after the numerical value of the corresponding clarity of each frame image and parameter preset, terminal The first weight corresponding with clarity, and the second weight corresponding with parameter preset can be obtained.It is understood that the One weight and the second weight and be 1.

In some embodiments, the numerical value of the first weight and the second weight can be set according to use demand.Than Such as, under to the higher scene of image definition requirements, can the first weight corresponding with clarity be arranged larger, The second weight corresponding with parameter preset is arranged smaller.For example, the first weight is 0.7, the second weight is 0.3, or First weight is 0.6, and the second weight is 0.4, etc..And when need to collect big eye pattern as when, can will be corresponding with clarity The first weight be arranged smaller, the second weight corresponding with parameter preset is arranged larger.For example, the first weight Be 0.3, the second weight be 0.7 or first weight be 0.4, the second weight be 0.6, etc..

In other embodiments, the first weight and can be arranged according to the clarity difference between image in terminal The size of two weights.For example, if terminal detects the clarity difference between each frame image in first group of image in predetermined threshold value In range, i.e., when the clarity between each frame image is not much different, the first weight corresponding with clarity can be arranged for terminal Must be smaller, and the second weight corresponding with parameter preset is arranged larger.For example, the first weight is 0.4, the second power Weight is 0.6, etc..If terminal detects the clarity difference between each frame image in first group of image in preset threshold range Outside, i.e., when the clarity difference between each frame image is larger, the first weight corresponding with clarity can be arranged greatly by terminal Some, and the second weight corresponding with parameter preset is arranged smaller.For example, the first weight is 0.6, the second weight is 0.4, etc..

Certainly, in other embodiments, the numerical value of the first weight and the second weight can also be by user according to shooting need It asks, sets itself.

In step S205, terminal is respectively to the numerical value of the clarity and parameter preset of each frame image in first group of image It is normalized, obtains the numerical value of the clarity and the parameter preset after normalization after each frame image normalization.

In step S206, terminal according to first weight, respectively to the clarity after the normalization of each frame image into Row weighting obtains the clarity after each frame image weighting, and according to second weight, respectively to the normalizing of each frame image The numerical value of parameter preset after change is weighted, and obtains the numerical value of the parameter preset after each frame image weighting.

In step S207, terminal obtains clarity and weighting in first group of image after the weighting of each frame image respectively The numerical value of parameter preset afterwards and value.

For example, step S205, S206 and S207 may include：

For example, the clarity of A1, A2, A3, A4 are followed successively by 80,83,81,79 in first group of image.A1, A2, A3, A4's The numerical value of parameter preset is followed successively by 40,41,41,39.First weight is 0.4, and the second weight is 0.6.

So, for A1 images, terminal can first be normalized the numerical value of its clarity and parameter preset.For example, Numerical value after clarity 80 normalizes is 0.8 (80/100), and the numerical value after the normalization of numerical value 40 of parameter preset is 0.8 (40/ 50).Then, terminal can be weighted the clarity 0.8 after normalization according to the first weight 0.4, clear after being weighted Clear degree, value are 0.32 (0.4*0.8).Meanwhile terminal can be according to the second weight 0.6 to the parameter preset after normalization Numerical value 0.8 is weighted, the numerical value of the parameter preset after being weighted, and value is 0.48 (0.6*0.8).Then, terminal can be with Calculate A1 images weighting after clarity 0.32 and weighting after parameter preset numerical value 0.48 and value, as 0.8.

For A2 images, terminal can also first be normalized the numerical value of its clarity and parameter preset.For example, clear Numerical value after 83 normalization of clear degree is 0.83 (83/100), and the numerical value after the normalization of numerical value 41 of parameter preset is 0.82 (41/ 50).Then, terminal can be weighted the clarity 0.83 after normalization according to the first weight 0.4, after being weighted Clarity, value are 0.332 (0.4*0.83).Meanwhile terminal can be according to the second weight 0.6 to the default ginseng after normalization Several numerical value 0.82 are weighted, the numerical value of the parameter preset after being weighted, and value is 0.492 (0.6*0.82).Then, Terminal can calculate A2 images weighting after clarity 0.332 and weighting after parameter preset numerical value 0.492 and value, i.e., It is 0.824.

Similarly, it is 0.81 that terminal, which can calculate the clarity after the normalization of A3 images, the parameter preset after normalization Numerical value be 0.82.Clarity after being weighted according to the first weight 0.4 is 0.324, pre- after being weighted according to the second weight 0.6 The numerical value of setting parameter is 0.492, then the numerical value 0.492 of the clarity 0.324 and the parameter preset after weighting after the weighting of A3 images And value be 0.816.

It is 0.79 that terminal, which can calculate the clarity after the normalization of A4 images, the number of the parameter preset after normalization Value is 0.78.Clarity after being weighted according to the first weight 0.4 is 0.316, the default ginseng after being weighted according to the second weight 0.6 Several numerical value is 0.468, then the sum of the numerical value 0.468 of the clarity 0.316 after the weighting of A4 images and the parameter preset after weighting Value is 0.784.

In step S208, terminal is by first group of image, and the maximum image of value is determined as the first image, and from The second image is determined in second group of image, and first image and second image are the images of synchronous acquisition.

For example, the clarity in obtaining first group of image after the weighting of each frame image and the parameter preset after weighting Both numerical value and value after, terminal can will be determined as the first image with the maximum image of value.

For example, due to A1, A2, A3, A4 and value be followed successively by 0.8,0.824,0.816,0.784.Therefore, terminal can be with A2 in first group of image is determined as the first image.

Then, terminal can determine the second image from second group of image.Second image can be and the first image The image of synchronous acquisition.So, the B2 in second group of image can be determined as the second image by terminal.

In step S209, terminal executes following steps parallel：The depth of field is obtained according to first image and second image Information, and noise reduction process is carried out to first image according to first group of image and obtains target image.

For example, after determining the first image and the second image, terminal can be obtained according to first image and the second image Take depth of view information.It is understood that the first image and the second image are double camera modules in terminal from different location (angle Degree) collected same target image, therefore depth of view information can be obtained according to the first image and the second image.It needs Bright, which got after determining focusing object for the focusing object in image Depth of view information.

Then, terminal can carry out noise reduction process according to first group of first image of image pair, to obtain target image. For example, terminal can carry out at noise reduction first image according to other images in first group of image in addition to the first image Reason.For example, the first image be A2 images, then terminal can using the first image A2 as the basic frame of noise reduction process, and according to This 3 frame image of A1, A3, A4 in first group of image carries out noise reduction process to A2.That is, terminal can be according to this 3 frame of A1, A3, A4 Image recognition simultaneously reduces the random noise in basic frame A2 images, to obtain the target image by noise reduction.

Wherein, the step of depth of view information being obtained according to the first image and the second image, with according to first group of image to this First image carries out noise reduction process and can be executed parallel the step of obtaining target image.It should be noted that the first image Noise reduction process is carried out to have no effect on according to the first image and the second image acquisition depth of view information, therefore noise reduction process and acquisition scape The step of deeply convinceing breath can execute parallel.

For example, in one embodiment, terminal can utilize central processing unit (Central Processing Unit, CPU) the step of depth of view information is obtained according to the first photo and the second photo is executed, while terminal can utilize graphics process Device (Graphics Processing Unit, GPU) carries out at noise reduction first image according to first group of image to execute The step of managing and obtaining target image.

It is understood that above-mentioned two step executes parallel, the processing time of terminal can be saved, is improved to image The efficiency handled.In some embodiments, terminal obtains the when a length of 800ms that depth of view information needs, and what noise reduction needed Shi Changwei 400ms, as a result, by the way that depth of view information and noise reduction parallel processing will be obtained (for example, can pass through multi-threading parallel process Realize), the processing time of 400ms can be saved, the image taking speed of terminal can be promoted.In addition, in some embodiments, one A thread carried out in the 800ms times of depth of view information acquisition, another thread is in addition to carrying out noise reduction (being about 400ms when needing) Outside, the processing such as U.S. face processing (200ms is about when needing), filter processing (100ms is about when needing) can also be carried out, to When depth of view information obtains completion, target image is more handled, more processing times are saved, is further promoted The image taking speed of terminal.

In other embodiments, other than obtaining depth of view information according to the first image and the second image, in two frames In the case that difference between the acquisition time interval of image is short enough or collected each frame image is sufficiently small, terminal may be used also Arbitrarily to choose a frame image from first group of image, and choose from second group of image with the frame picture synchronization collection to Image obtains depth of view information further according to this two field pictures.For example, the first image is A2 in the present embodiment, the second image is B2. So, in other embodiments, terminal can also arbitrarily choose a frame image from A1, A3, A4, for example choose A4 figures Picture, then choose from second group of image with the B4 images of A4 picture synchronization collections, and depth of view information is obtained according to A4 and B4.

In addition, the difference between the acquisition time interval of two field pictures is short enough or collected each frame image is enough In the case of small, terminal can also arbitrarily choose a frame image from first group of image, and arbitrarily be chosen from second group of image One frame image, and obtain depth of view information according to this two field pictures.For example, terminal chooses A2 and B3, and obtained according to this two field pictures Take depth of view information.

In one embodiment, first group of image includes at least two field pictures, and terminal is according to first group picture in S209 As the step of carrying out noise reduction process to first image, obtain target image may include steps of：

Terminal is by all image alignments in first group of image；

In the image of alignment, terminal is determined to belong in the pixel that multigroup pixel being mutually aligned and each group are mutually aligned In the object pixel of the first image；

Terminal obtains the pixel value of each pixel in the pixel that each group is mutually aligned；

According to the pixel value of each pixel, terminal obtains the pixel value mean value for the pixel that each group is mutually aligned；

The pixel value of object pixel in first image is adjusted to the pixel value mean value by terminal, obtains the mesh Logo image.

For example, first group of image includes A1, A2, A3, A4, wherein the first image is A2.So, terminal can be true by A2 It is set to the basic frame of noise reduction process.Then, terminal can utilize image alignment algorithm, by this 4 frame image pair of A1, A2, A3, A4 Together.

By after A1, A2, A3, A4 this 4 frame image alignment, the pixel being mutually aligned can be determined as one group of pass by terminal The pixel of connection, to obtain multigroup pixel being mutually aligned.Then, terminal can will belong in pixel that each group is mutually aligned The pixel of first image is determined as object pixel.Later, terminal can obtain each pixel in the pixel that each group is mutually aligned Pixel value, and obtain the pixel value mean value for the pixel that each group is mutually aligned in turn.Then, terminal can be by the first image In the pixel value of each object pixel be adjusted to the pixel value mean value of the group where the object pixel, the first figure after adjustment Picture as target image.

There is pixel X3, A4 an image on pixel X2, A3 an image for example, having on A1 images and having on pixel X1, A2 an image On have a pixel X4.Also, by image alignment algorithm it is found that pixel X1, X2, X3 and X4 are A1, A2, A3, A4 this 4 frame figures Pixel as being in same aligned position after alignment.That is, pixel X1, X2, X3 and X4 are alignment.For example, the pixel of pixel X1 Value is 101, and the pixel value of pixel X2 is 102, and the pixel value of pixel X3 is 103, and the pixel value of pixel X4 is 104, then this The average value of four pixel values is 102.5.After obtaining the average value 102.5, terminal can be by the pixel X2's in A2 images Pixel value is adjusted to 102.5 by 102, to carry out noise reduction process to pixel X2.Similarly, in A2 images it is all A1, After the pixel value of the position with snap to pixels is adjusted to corresponding average value on A3 and A4 images, obtained image is drop Target image of making an uproar that treated.

In one embodiment, first it can also determine that clarity is maximum from A1, A2, A3, A4 this 4 frame image One frame image, then assigns the pixel value of different frame different weights, further according to the calculated for pixel values average value after weighting, And according to the pixel value on the basic frame A2 of average value adjustment after the weighting.

For example, on pixel Z3 and A4 image on pixel Z1, A3 image on pixel Z2 and A1 image on A2 images Pixel Z4 alignment.Wherein, the pixel value that the pixel value of Z1 is 101, the pixel value of Z2 is 102, Z3 is the pixel value of 103, Z4 It is 104.Also, Z2 clarity in this 4 frame image is maximum.So, when calculating weighted mean, terminal can assign Z2's Pixel value weight is 0.4, and the pixel value weight of Z1, Z3, Z4 are 0.2, then weighted mean is 102.4, wherein 102.4= 102*0.4+ (101+103+104)*0.2.After obtaining the weighted mean 102.4, terminal can by the pixel value of Z2 by 102 are adjusted to 102.4, to reduce the noise of the pixel.

In one embodiment, corresponding on A1, A2, A3 and A4 image if for some aligned position Pixel value difference is larger, then terminal can not be adjusted the pixel value of the position on A2 images.For example, A2 images On pixel Y2 and A1 image on pixel Y1, A3 image on pixel Y3 and A4 image on pixel Y4 alignment, but Y2 The pixel value that pixel value is 100, Y1 is 20, the pixel value of Y3 is 30, the pixel value of Y4 is 35, i.e. the pixel value of Y2 is much larger than Y1, Y3 and Y4.In such a case, it is possible to be not adjusted to the pixel value of Y2.

In one embodiment, if this 4 frame image of A1, A2, A3, A4 can not be aligned, terminal can not be to base The pixel value of each pixel of plinth frame A2 is adjusted, and directly using basis frame A2 as target image, carry out subsequent background Virtualization is handled.

In step S210, according to the depth of view information, the terminal-pair target image carries out background blurring processing.

For example, after obtaining target image, terminal can carry out the target image according to the depth of view information got Background blurring processing.

It should be noted that in the present embodiment, terminal can carry out multiframe noise reduction using first group of first image of image pair Processing, its random noise of obtained target image are few.Also, the first image and second that terminal can be arrived according to synchronous acquisition Image obtains depth of view information, therefore the depth of view information that terminal is got is more acurrate.It is i.e. less in the noise of target image, it obtains In the case of the depth of view information that arrives is more accurate, it is also more preferable that the present embodiment carries out background blurring effect to the target image, that is, carries on the back Target image its imaging effect after scape virtualization is good.

Further, since the step of carrying out multiframe noise reduction using first group of first image of image pair can with according to the first figure The step of picture and the second image obtain depth of view information executes parallel, therefore the present embodiment can also improve image processing speed, have Effect avoids the problem that processing speed is slow caused by multiframe noise reduction.

In one embodiment, in S209, terminal carries out noise reduction process according to first group of image to first image The step of obtaining target image may include steps of：

Terminal carries out noise reduction process according to first group of first image of image pair, obtains the image after noise reduction；

Image after the terminal-pair noise reduction carries out tone mapping processing, obtains target image.

For example, the first image is A2 images, then terminal can using the first image A2 as the basic frame of noise reduction process, And according to this 3 frame image recognition of A1, A3, A4 and the random noise in basic frame A2 images is reduced, to obtain the figure after noise reduction Picture.

Then, terminal can carry out tone mapping processing (Tone Mapping) to the image after the noise reduction, to obtain Target image.

It is understood that the image comparison of image can be improved by carrying out tone mapping processing to the image after the noise reduction Degree, so that target image has higher dynamic range, imaging effect more preferable.

In another embodiment, terminal determines after getting first group of image from first group of image The step of one image, can also include the following steps：

Terminal obtains the clarity of each frame image in first group of image, and clarity in each frame image is maximum Image is determined as the first image.

For example, the clarity of A1, A2, A3, A4 are followed successively by 80,83,81,79 in first group of image.So, terminal can be with A2 images are directly determined as the first image.That is, terminal can be according only to this dimension of clarity, from first group of image really Make the first image.

In another embodiment, terminal can also include the following steps after getting first group of image

If each frame image of first group of image includes face, terminal obtains each frame image in first group of image The numerical value of parameter preset, the numerical value of the parameter preset are used to indicate the eyes size of face in image；

The maximum image of numerical value of parameter preset in first group of image is determined as the first image.

For example, after getting first group of image, it includes people that terminal, which detects each frame image in first group of image, Face, then terminal can obtain the numerical value of the parameter preset of each frame image in first group of image, the wherein number of the parameter preset Eyes size of the value for indicating face in image, then, terminal can be directly by the numbers of parameter preset in first group of image It is worth maximum image and is determined as the first image.

For example, the numerical value of the parameter preset of A1, A2, A3, A4 is followed successively by 40,41,42,39 in first group of image.So, A2 directly can be determined as the first image by terminal.It is understood that A2 images be in first group of image human eye it is maximum That frame image.That is, terminal can determine first according only to human eye size this dimension in image from first group of image Image.

In one embodiment, in addition to can be according to the dimension of image definition and human eye size, from first group of image In determine outside the first image, the smile degree of face this dimension can also be added in terminal, to determine the first image.For example, The smile degree of image definition and face can be combined together by terminal, to determine the first image.Alternatively, terminal also may be used The smile degree of human eye size and face to be combined together, to determine the first image.Or terminal can also will be schemed The smile degree of image sharpness, human eye size and face is combined together, to determine first image, etc..

In some embodiments, the mode of detection face smile degree can be according to the tooth of face part and The image recognition at the positions such as the corners of the mouth carries out.For example, terminal can identify corners of the mouth part and the corners of the mouth portion in image The bending amplitude divided, bending degree is bigger it is considered that smile degree is bigger, etc..

Fig. 3 to Fig. 5 is please referred to, Fig. 3 to Fig. 5 is scene and the place of the processing method of image provided by the embodiments of the present application Manage flow diagram.

For example, as shown in figure 3, being equipped with double camera modules 10 in terminal, which includes the first camera shooting mould Group 11 and the second camera module 12.For example, the first camera module 11 can camera, the second camera module can be pair based on Camera.In one embodiment, two cameras in double camera modules can be arrangement laterally side by side (such as Fig. 3 institutes Show).In another embodiment, two cameras in double camera modules can also be longitudinal arranged in parallel.When terminal makes When acquiring image with double camera modules 10, first camera module 11 and the second camera module 12 can be with synchronous acquisition images.

For example, user opens camera applications, and prepares to shoot photo, terminal interface enters image preview interface at this time. It will be shown for the image for user's preview on the display screen of terminal.

When terminal acquires image using double camera modules, the first camera module and the second camera module can be synchronized and be adopted Collect image.

Later, user clicks button of taking pictures, as shown in Figure 4.In the present embodiment, when detecting that user clicks bat After button, terminal can be obtained from buffer queue before user clicks button of taking pictures, the first acquisition recently of camera module 11 The 12 nearest collected 4 frame image of 4 frame images and the second camera module arrived.For example, the first camera module acquires recently To 4 photograph frames (first group of image) be followed successively by A1, A2, A3, A4.The 4 frame images that the nearest synchronous acquisition of second camera module arrives (second group of image) is followed successively by B1, B2, B3, B4.It is understood that A1 and B1 are the images of synchronous acquisition, A2 and B2 are The image of synchronous acquisition, A3 and B3 are the images of synchronous acquisition, and A4 and B4 are the images of synchronous acquisition.

Then, terminal can obtain the numerical value of the clarity of each frame image and parameter preset in first group of image.Its In, the numerical value of parameter preset can be used to indicate that the eyes size of face in image.For example, the value range of clarity be 0~ 100, the bigger expression image of numerical value of clarity is more clear.In first group of image the clarity of A1, A2, A3, A4 be followed successively by 80, 83、81、79.The value range of the numerical value of parameter preset is 0~50, and human eye is bigger in the bigger expression image of numerical value.First group picture The numerical value of the parameter preset of A1, A2, A3, A4 is followed successively by 40,41,42,39 as in.

Later, terminal can obtain the first weight corresponding with clarity, and the second power corresponding with parameter preset Weight.For example, the first weight is 0.4, the second weight is 0.6.

Then, for each frame image in first group of image, terminal can be to the numerical value of its clarity and parameter preset It is normalized, obtains the numerical value of the clarity and the parameter preset after normalization after each frame image normalization.Then, terminal The clarity after each frame image normalization can be weighted respectively according to first weight, after obtaining each frame image weighting Clarity.Also, terminal can be according to second weight, respectively to the numerical value of the parameter preset after each frame image normalization It is weighted, obtains the numerical value of the parameter preset after each frame image weighting.Finally, terminal can obtain each frame image and add respectively Both the numerical value of parameter preset after clarity and weighting after power and value.

For example, for A1 images, terminal can first be normalized the numerical value of its clarity and parameter preset.For example, Numerical value after clarity 80 normalizes is 0.8 (80/100), and the numerical value after the normalization of numerical value 40 of parameter preset is 0.8 (40/ 50).Then, terminal can be weighted the clarity 0.8 after normalization according to the first weight 0.4, clear after being weighted Clear degree, value are 0.32 (0.4*0.8).Meanwhile terminal can be according to the second weight 0.6 to the parameter preset after normalization Numerical value 0.8 is weighted, the numerical value of the parameter preset after being weighted, and value is 0.48 (0.6*0.8).Then, terminal can be with Calculate A1 images weighting after clarity 0.32 and weighting after parameter preset numerical value 0.48 and value, as 0.8.

Similarly, for A2 images, the clarity after weighting is 0.332, the numerical value of parameter preset after weighting is 0.492, both is 0.824 with value.For A3 images, the clarity after weighting is 0.324, the default ginseng after weighting Several numerical value is 0.492, both is 0.816 with value.For A4 images, the clarity after weighting is 0.316, weights The numerical value of parameter preset afterwards is 0.468, both is 0.784 with value.

Obtain A1, A2, A3, A4 this 4 frame image and after value, terminal can will be determined as with the maximum image of value One image, first image is for the basic frame as noise reduction.It is understood that the first image is in first group of image Human eye is larger and the higher image of clarity.For example, due to A2's and being worth maximum, A2 is determined as the first image.So Afterwards, the B2 images that the second camera module is shot can be determined as the second image by terminal.

Then, terminal can utilize CPU, according to the first image A2 and the second image B2, obtain depth of view information.Also, eventually End can utilize GPU, noise reduction process be carried out according to A1, A3, A4 couples of the first image A2 in first group of image, after obtaining noise reduction A2 images, and be determined as target image.Wherein, terminal calculates the step of depth of view information and the step to A2 image noise reductions Suddenly it can execute parallel, to improve processing speed.

Later, terminal can carry out background blurring processing according to the depth of view information got to the target image, to Obtain output image.Then, which can be stored in photograph album by terminal.Entire process flow can be such as Fig. 5 institutes Show.

Referring to Fig. 6, Fig. 6 is the structural schematic diagram of the processing unit of image provided by the embodiments of the present application.The place of image Managing device 300 may include：First acquisition module 301, determining module 302, the second acquisition module 303, noise reduction module 304, with And processing module 305.

First acquisition module 301 seems by institute for obtaining first group of image and second group of image, first group picture The image of the first camera module acquisition is stated, second group picture seems the image acquired by second camera module.

For example, the first acquisition module 301 can first obtain the acquisition of the first camera module in double camera modules in terminal First group of image and double camera modules in the second camera module acquisition second group of image.In first group of image Also include multiple image including multiple image, in second group of image.

Determining module 302, for determining the first image from first group of image, and from second group of image In determine that the second image, described first image and second image are the images of synchronous acquisition.

For example, first group of image A1, A2, A3, A4 of the acquisition of the first camera module are got in the first acquisition module 301, And second camera module acquisition second group of image B1, B2, B3, B4 after, determining module 302 can be from A1, A2, A3, A4 It determines the first image, the second image is then determined from B1, B2, B3, B4.Wherein, which can be and first The image of picture synchronization collection.

For example, the A2 in A1, A2, A3, A4 is determined as the first image by determining module 302, then terminal can be correspondingly B2 is determined as the second image.

Second acquisition module 303, for obtaining depth of view information according to described first image and second image.

For example, after determining module 302 determines the first image and the second image, the second acquisition module 303 can basis First image and the second image obtain depth of view information.It is understood that since first image and the second image are terminals On double camera modules from different camera sites (angle) synchronous acquisition to image, therefore can be according to the first image and Two images obtain depth of view information.

Noise reduction module 304 obtains mesh for carrying out noise reduction process to described first image according to first group of image Logo image.

For example, noise reduction module 304 can carry out noise reduction process according to first group of first image of image pair, to obtain mesh Logo image.For example, noise reduction module 304 can be according to other images in first group of image in addition to the first image, to first figure As carrying out noise reduction process.For example, the first image is A2 images, then terminal can be using the first image A2 as noise reduction process Basic frame, and noise reduction process is carried out to A2 according to this 3 frame image of A1, A3, A4 in first group of image.That is, noise reduction module 304 According to this 3 frame image recognition of A1, A3, A4 and the random noise in basic frame A2 images can be reduced, to obtain by noise reduction Target image.

Processing module 305, for according to the depth of view information, default processing to be carried out to the target image.

For example, after obtaining target image, processing module 305 can be according to the depth of view information got, to the target figure As carrying out default processing.In some embodiments, which can be such as background blurring and image 3D applications Processing etc..

In one embodiment, the processing module 305 can be used for：The target image is carried out background blurring Processing.

In one embodiment, the determining module 302 can be used for：Obtain each frame figure in first group of image The clarity of picture；The maximum image of clarity in each frame image is determined as described first image.

In one embodiment, the determining module 302 can be used for：If each frame image of first group of image Including face, then obtain the numerical value of the parameter preset of each frame image in first group of image, the numerical value of the parameter preset is used In the eyes size for indicating face in image；The maximum image of numerical value of parameter preset in each frame image is determined as described One image.

In one embodiment, the determining module 302 can be used for：Obtain each frame figure in first group of image The clarity of picture；If each frame image of first group of image includes face, each frame image in first group of image is obtained Parameter preset numerical value, the numerical value of the parameter preset is used to indicate the eyes size of face in image；According to each frame The clarity of image and the numerical value of parameter preset determine described first image from first group of image.

In one embodiment, the determining module 302 can be used for：The first weight corresponding with clarity is obtained, And the second weight corresponding with parameter preset；The clarity of each frame image is carried out respectively according to first weight Weighting obtains the clarity after each frame image weighting, and according to second weight respectively to the pre- of each frame image The numerical value of setting parameter is weighted, and obtains the numerical value of the parameter preset after each frame image weighting；Each frame is obtained respectively The numerical value of the parameter preset after clarity and weighting after the weighting of image and value；By in first group of image, and value is most Big image is determined as described first image.

In one embodiment, the determining module 302 can be used for：Respectively to the clarity of each frame image It is normalized, obtains default after clarity and normalization after each frame image normalization with the numerical value of parameter preset The numerical value of parameter；According to first weight, the clarity after the normalization of each frame image is weighted respectively, is obtained Clarity to after each frame image weighting；According to second weight, respectively to the normalization of each frame image after The numerical value of parameter preset is weighted, and obtains the numerical value of the parameter preset after each frame image weighting.

In one embodiment, the noise reduction module 304 can be used for：According to first group of image to described One image carries out noise reduction process, obtains the image after noise reduction；Tone mapping processing is carried out to the image after the noise reduction, is obtained The target image.

In one embodiment, first group of image includes at least two field pictures, and the noise reduction module 304 can be with For：By all image alignments in first group of image；In the image of alignment, multigroup picture being mutually aligned is determined Belong to the object pixel of the first image in the pixel that element and each group are mutually aligned；It obtains each in the pixel that each group is mutually aligned The pixel value of pixel；According to the pixel value of each pixel, the pixel value mean value for the pixel that each group is mutually aligned is obtained；It will The pixel value of object pixel in described first image is adjusted to the pixel value mean value, obtains the target image.

About the device in the embodiment, wherein modules execute the concrete mode of operation in related this method Embodiment in be described in detail, explanation will be not set forth in detail herein.

The embodiment of the present application provides a kind of computer-readable storage medium, computer program is stored thereon with, when described When computer program executes on computers so that the computer executes the processing method such as image provided in this embodiment In step.

The embodiment of the present application also provides a kind of electronic equipment, including memory, processor, and the processor passes through calling The computer program stored in the memory, the step in processing method for executing image provided in this embodiment.

For example, above-mentioned electronic equipment can be the mobile terminals such as tablet computer or smart mobile phone.Referring to Fig. 7, Fig. 7 is the structural schematic diagram of mobile terminal provided by the embodiments of the present application.

The mobile terminal 400 may include the components such as camera module 401, memory 402, processor 403.This field skill Art personnel are appreciated that mobile terminal structure shown in Fig. 7 does not constitute the restriction to mobile terminal, may include than figure Show more or fewer components, either combines certain components or different components arrangement.

Camera module 401 can be the double camera modules etc. installed on mobile terminal.Wherein the camera module 401 to Include the first camera module and the second camera module less, when mobile terminal acquires image using double camera modules, this first is taken the photograph As module and second camera module can be with synchronous acquisition images.

Memory 402 can be used for storing application program and data.Including in the application program that memory 402 stores can Execute code.Application program can form various functions module.Processor 403 is stored in the application of memory 402 by operation Program, to perform various functions application and data processing.

Processor 403 is the control centre of mobile terminal, utilizes each of various interfaces and the entire mobile terminal of connection A part by running or execute the application program being stored in memory 402, and is called and is stored in memory 402 Data execute the various functions and processing data of mobile terminal, to carry out integral monitoring to mobile terminal.

In the present embodiment, the processor 403 in mobile terminal can be according to following instruction, by one or more The corresponding executable code of process of application program be loaded into memory 402, and be stored in by processor 403 to run Application program in memory 402, to realize following steps：

First group of image and second group of image are obtained, first group picture seems to be acquired by first camera module Image, second group picture seem the image acquired by second camera module；Is determined from first group of image One image, and the second image is determined from second group of image, described first image and second image be synchronize adopt The image of collection；Depth of view information is obtained according to described first image and second image；According to first group of image to described First image carries out noise reduction process, obtains target image；According to the depth of view information, default place is carried out to the target image Reason.

The embodiment of the present invention also provides a kind of electronic equipment.Above-mentioned electronic equipment includes image processing circuit, at image Managing circuit can utilize hardware and or software component to realize, it may include define picture signal and handle (Image Signal Processing) the various processing units of pipeline.Image processing circuit at least may include：Camera, image-signal processor (Image Signal Processor, ISP processor), control logic device, video memory and display etc..Wherein take the photograph As head at least may include one or more lens and imaging sensor.

Imaging sensor may include colour filter array (such as Bayer filters).Imaging sensor can obtain and use image sensing The luminous intensity and wavelength information that each imaging pixel of device captures, and it is former to provide can be handled by image-signal processor one group Beginning image data.

Image-signal processor can handle raw image data pixel by pixel in various formats.For example, each image Pixel can carry out one or more with the bit depth of 8,10,12 or 14 bits, image-signal processor to raw image data The statistical information of a image processing operations, collection about image data.Wherein, image processing operations can be by identical or different Bit depth precision carries out.Raw image data can be stored into video memory after image-signal processor is handled.Image Signal processor can also receive image data from video memory.

Video memory can be that independent in the part of memory device, storage device or electronic equipment special is deposited Reservoir, and may include DMA (Direct Memory Access, direct direct memory access (DMA)) feature.

When receiving the image data from video memory, image-signal processor can carry out one or more figures As processing operation, such as time-domain filtering.Image data that treated can be transmitted to video memory, so as in shown advance The other processing of row.Image-signal processor can also receive processing data from video memory, and be carried out to the processing data Image real time transfer in original domain and in RGB and YCbCr color spaces.Image data that treated may be output to display Device, so that user watches and/or by graphics engine or GPU (Graphics Processing Unit, graphics processor) into one Step processing.In addition, the output of image-signal processor also can be transmitted to video memory, and display can be from video memory Read image data.In one embodiment, video memory can be configured as realizing one or more frame buffers.

The statistical data that image-signal processor determines can be transmitted to control logic device.For example, statistical data may include certainly The system of the imaging sensors such as dynamic exposure, automatic white balance, automatic focusing, flicker detection, black level compensation, correcting lens shadow Count information.

Control logic device may include the processor and/or microcontroller that execute one or more routines (such as firmware).One Or multiple routines can determine the control parameter and ISP control parameters of camera according to the statistical data of reception.For example, camera shooting The control parameter of head may include camera flash control parameter, the control parameter of lens (such as focus or zoom focal length) or The combination of these parameters.ISP control parameters may include for automatic white balance and color adjustment (for example, during RGB processing) Gain level and color correction matrix etc..

Referring to Fig. 8, Fig. 8 is the structural schematic diagram of image processing circuit in the present embodiment.As shown in figure 8, for ease of saying It is bright, the various aspects with the relevant image processing techniques of the embodiment of the present invention are only shown.

Image processing circuit may include：First camera 510, second camera 520, the first image-signal processor 530, the second image-signal processor 540, control logic device 550, video memory 560, display 570.Wherein, it first takes the photograph As first 510 may include one or more first lens 511 and the first imaging sensor 512.Second camera 520 can wrap Include one or more second lens 521 and the second imaging sensor 522.

First image transmitting of the first camera 510 acquisition is handled to the first image-signal processor 530.First After image-signal processor 530 handles the first image, can by the statistical data of the first image (brightness of such as image, image it is anti- Difference, color of image etc.) it is sent to control logic device 550.Control logic device 550 can determine that first takes the photograph according to statistical data As first 510 control parameter, to which the first camera 510 can carry out the behaviour such as auto-focusing, automatic exposure according to control parameter Make.First image can store after the first image-signal processor 530 is handled into video memory 560.First figure As signal processor 530 can also read the image stored in video memory 560 to be handled.In addition, the first image passes through Display 570 can be sent directly to after image-signal processor 530 is handled by, which crossing, is shown.Display 570 can also be read Take the image in video memory 560 to be shown.

The second image transmitting that second camera 520 acquires is handled to the second image-signal processor 540.Second After image-signal processor 540 handles the second image, can by the statistical data of the second image (brightness of such as image, image it is anti- Difference, color of image etc.) it is sent to control logic device 550.Control logic device 550 can determine that second takes the photograph according to statistical data As first 520 control parameter, to which second camera 520 can carry out the behaviour such as auto-focusing, automatic exposure according to control parameter Make.Second image can store after the second image-signal processor 540 is handled into video memory 560.Second figure As signal processor 540 can also read the image stored in video memory 560 to be handled.In addition, the second image passes through Display 570 can be sent directly to after image-signal processor 540 is handled by, which crossing, is shown.Display 570 can also be read Take the image in video memory 560 to be shown.

In other embodiments, the first image-signal processor and the second image-signal processor can also synthesize Unified image-signal processor handles the data of the first imaging sensor and the second imaging sensor respectively.

In addition, not having displaying in figure, electronic equipment can also include CPU and power supply module.CPU and logic controller, First image-signal processor, the second image-signal processor, video memory and display are all connected with, and CPU is for realizing complete Office's control.Power supply module is used to power for modules.

In general, the mobile phone with double camera modules, under certain exposal models, double camera modules work.At this point, It is that the first camera and second camera are powered that CPU, which controls power supply module,.Imaging sensor in first camera powers on, the Imaging sensor in two cameras powers on, so as to realize the acquisition conversion of image.It, can be under certain exposal models It is the camera work in double camera modules.For example, only focal length camera works.In this case, CPU controls power supply Module is powered to the imaging sensor of corresponding camera.In embodiments herein, due to the depth of field to be carried out calculate and Virtualization is handled, it is therefore desirable to what two camera shooting die heads worked at the same time.

In addition, double camera modules can be determined according to the size of terminal in the mounting distance of terminal and shooting effect determines. In some embodiments, in order to keep the overlapped object degree that the first camera module and the second camera module are shot high, two can be taken the photograph As module be mounted so as to it is more closer better, such as within 10mm.

It is the step of realizing the processing method of image provided in this embodiment with image processing techniques in Fig. 8 below：

In one embodiment, when electronic equipment executes the step for carrying out default processing to the target image, It can execute：Background blurring processing is carried out to the target image.

In one embodiment, first group of image includes at least two field pictures, and electronic equipment executes described from institute It states when determining the step of the first image in first group of image, can execute：Obtain each frame image in first group of image Clarity；The maximum image of clarity in each frame image is determined as described first image.

In one embodiment, first group of image includes at least two field pictures, and electronic equipment executes described from institute It states when determining the step of the first image in first group of image, can execute：If each frame image of first group of image includes Face, then obtain the numerical value of the parameter preset of each frame image in first group of image, and the numerical value of the parameter preset is used for table The eyes size of face in diagram picture；The maximum image of numerical value of parameter preset in each frame image is determined as first figure Picture.

In one embodiment, first group of image includes at least two field pictures, and electronic equipment executes described from institute It states when determining the step of the first image in first group of image, can execute：Obtain each frame image in first group of image Clarity；If each frame image of first group of image includes face, the pre- of each frame image in first group of image is obtained The numerical value of setting parameter, the numerical value of the parameter preset are used to indicate the eyes size of face in image；According to each frame image Clarity and parameter preset numerical value, determine described first image from first group of image.

In one embodiment, electronic equipment executes the clarity and parameter preset according to each frame image Numerical value when determining the step of the first image from first group of image, can execute：Obtain corresponding with clarity the One weight, and the second weight corresponding with parameter preset；According to first weight respectively to the clear of each frame image Degree is weighted, and obtains the clarity after each frame image weighting, and according to second weight respectively to each frame figure The numerical value of the parameter preset of picture is weighted, and obtains the numerical value of the parameter preset after each frame image weighting；Institute is obtained respectively State the numerical value of the clarity after the weighting of each frame image and the parameter preset after weighting and value；By in first group of image, It is determined as described first image with the maximum image of value.

In one embodiment, electronic equipment execute it is described according to first weight respectively to each frame image Clarity be weighted to obtain the clarity after each frame image weighting, and according to second weight respectively to described The numerical value of the parameter preset of each frame image is weighted the step of obtaining the numerical value of the parameter preset after each frame image weighting When, it can execute：The numerical value of the clarity to each frame image and parameter preset is normalized respectively, obtains described each The numerical value of the parameter preset after clarity and normalization after frame image normalization；According to first weight, respectively to described Clarity after the normalization of each frame image is weighted, and obtains the clarity after each frame image weighting；According to described Two weights are respectively weighted the numerical value of the parameter preset after the normalization of each frame image, obtain each frame image The numerical value of parameter preset after weighting.

In one embodiment, it is described according to described first image and second image obtain depth of view information step Rapid and described the step of obtaining target image to described first image progress noise reduction process according to first group of image is by electricity What sub- equipment executed parallel.

In one embodiment, electronic equipment execute it is described according to first group of image to described first image into When row noise reduction process obtains the step of target image, it can execute：Described first image is carried out according to first group of image Noise reduction process obtains the image after noise reduction；Tone mapping processing is carried out to the image after the noise reduction, obtains the target figure Picture.

In one embodiment, first group of image includes at least two field pictures, and electronic equipment executes the basis When first group of image obtains the step of target image to described first image progress noise reduction process, it can execute：It will be described All image alignments in first group of image；In the image of alignment, multigroup pixel being mutually aligned and each group phase are determined Belong to the object pixel of the first image in the pixel being mutually aligned；Obtain the pixel of each pixel in the pixel that each group is mutually aligned Value；According to the pixel value of each pixel, the pixel value mean value for the pixel that each group is mutually aligned is obtained；By first figure The pixel value of object pixel as in is adjusted to the pixel value mean value, obtains the target image.

In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment Point, the detailed description of the processing method above with respect to image is may refer to, details are not described herein again.

The processing method category of image in the processing unit and foregoing embodiments of described image provided by the embodiments of the present application In same design, times provided in the processing method embodiment of described image can be run in the processing unit of described image One method, specific implementation process refer to the processing method embodiment of described image, and details are not described herein again.

It should be noted that for the processing method of the embodiment of the present application described image, those of ordinary skill in the art It is appreciated that realize all or part of flow of the processing method of the embodiment of the present application described image, is that can pass through computer Program is completed to control relevant hardware, and the computer program can be stored in a computer read/write memory medium, such as Storage in memory, and is executed by least one processor, may include the processing method such as described image in the process of implementation Embodiment flow.Wherein, the storage medium can be magnetic disc, CD, read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory) etc..

For the processing unit of the described image of the embodiment of the present application, each function module can be integrated at one Manage chip in, can also be that modules physically exist alone, can also two or more modules be integrated in a module In.The form that hardware had both may be used in above-mentioned integrated module is realized, can also be realized in the form of software function module. If the integrated module is realized in the form of software function module and when sold or used as an independent product, also may be used To be stored in a computer read/write memory medium, the storage medium is for example read-only memory, disk or CD Deng.

Processing method, device, storage medium and the electronics of a kind of image provided above the embodiment of the present application are set Standby to be described in detail, principle and implementation of the present invention are described for specific case used herein, above The explanation of embodiment is merely used to help understand the method and its core concept of the present invention；Meanwhile for those skilled in the art Member, according to the thought of the present invention, there will be changes in the specific implementation manner and application range, in conclusion this explanation Book content should not be construed as limiting the invention.

Claims

1. a kind of processing method of image, be applied to terminal, which is characterized in that the terminal include at least the first camera module and Second camera module, the method includes：

First group of image and second group of image are obtained, first group picture seems the image acquired by first camera module, Second group picture seems the image acquired by second camera module；

The first image is determined from first group of image, and determines the second image from second group of image, it is described First image and second image are the images of synchronous acquisition；

2. the processing method of image according to claim 1, which is characterized in that described to be preset to the target image The step of processing, including：

Background blurring processing is carried out to the target image.

3. the processing method of image according to claim 1 or 2, which is characterized in that first group of image includes at least Two field pictures；

Described the step of determining the first image from first group of image, including：

Obtain the clarity of each frame image in first group of image；

The maximum image of clarity in each frame image is determined as described first image.

4. the processing method of image according to claim 1 or 2, which is characterized in that first group of image includes at least Two field pictures；

If each frame image of first group of image includes face, the default ginseng of each frame image in first group of image is obtained Several numerical value, the numerical value of the parameter preset are used to indicate the eyes size of face in image；

The maximum image of numerical value of parameter preset in each frame image is determined as described first image.

5. the processing method of image according to claim 1 or 2, which is characterized in that first group of image includes at least Two field pictures；

Obtain the clarity of each frame image in first group of image；

According to the numerical value of the clarity and parameter preset of each frame image, described first is determined from first group of image Image.

6. the processing method of image according to claim 5, which is characterized in that described according to the clear of each frame image The step of numerical value of degree and parameter preset determines the first image from first group of image, including：

Obtain the first weight corresponding with clarity, and the second weight corresponding with parameter preset；

The clarity of each frame image is weighted respectively according to first weight, after obtaining each frame image weighting Clarity, and the numerical value of the parameter preset of each frame image is weighted respectively according to second weight, obtains institute State the numerical value of the parameter preset after each frame image weighting；

Obtain respectively the numerical value of the clarity after the weighting of each frame image and the parameter preset after weighting and value；

By in first group of image, and the maximum image of value is determined as described first image.

7. the processing method of image according to claim 6, which is characterized in that described right respectively according to first weight The clarity of each frame image is weighted to obtain the clarity after each frame image weighting, and according to second weight The numerical value of the parameter preset of each frame image is weighted respectively to obtain the parameter preset after each frame image weights The step of numerical value, including：

The numerical value of the clarity to each frame image and parameter preset is normalized respectively, obtains each frame image normalizing The numerical value of the parameter preset after clarity and normalization after change；

According to first weight, the clarity after the normalization of each frame image is weighted respectively, is obtained described each Clarity after the weighting of frame image；

According to second weight, the numerical value of the parameter preset after the normalization of each frame image is weighted respectively, is obtained The numerical value of parameter preset after to each frame image weighting.

8. the processing method of image according to claim 1 or 2, which is characterized in that the method includes：

It is described according to described first image and second image obtain depth of view information the step of and it is described according to described first group Image carries out the step of noise reduction process obtains target image to described first image and executes parallel.

9. the processing method of image according to claim 1, which is characterized in that it is described according to first group of image to institute It states the first image and carries out the step of noise reduction process obtains target image, including：

Noise reduction process is carried out to described first image according to first group of image, obtains the image after noise reduction；

Tone mapping processing is carried out to the image after the noise reduction, obtains the target image.

10. the processing method of image according to claim 1, which is characterized in that first group of image includes at least two Frame image；

It is described that the step of noise reduction process obtains target image is carried out to described first image according to first group of image, including：

By all image alignments in first group of image；

In the image of alignment, determine to belong to the first figure in the pixel that multigroup pixel being mutually aligned and each group are mutually aligned The object pixel of picture；

Obtain the pixel value of each pixel in the pixel that each group is mutually aligned；

According to the pixel value of each pixel, the pixel value mean value for the pixel that each group is mutually aligned is obtained；

The pixel value of object pixel in described first image is adjusted to the pixel value mean value, obtains the target image.

11. a kind of processing unit of image is applied to terminal, which is characterized in that the terminal includes at least the first camera module With the second camera module, described device includes：

First acquisition module seems to be taken the photograph by described first for obtaining first group of image and second group of image, first group picture As the image that module acquires, second group picture seems the image acquired by second camera module；

Determining module for determining the first image from first group of image, and is determined from second group of image Second image, described first image and second image are the images of synchronous acquisition；

Noise reduction module obtains target image for carrying out noise reduction process to described first image according to first group of image；

12. a kind of storage medium, is stored thereon with computer program, which is characterized in that when the computer program is in computer When upper execution so that the computer executes the method as described in any one of claims 1 to 10.

13. a kind of electronic equipment, including memory, processor, which is characterized in that the processor is by calling the memory The computer program of middle storage, for executing the method as described in any one of claims 1 to 10.