CN109064415A - Image processing method, system, readable storage medium storing program for executing and terminal - Google Patents
Image processing method, system, readable storage medium storing program for executing and terminal Download PDFInfo
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- 238000003672 processing method Methods 0.000 title claims abstract description 43
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 64
- 238000003786 synthesis reaction Methods 0.000 claims abstract description 64
- 230000001360 synchronised effect Effects 0.000 claims abstract description 46
- 238000005457 optimization Methods 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims abstract description 12
- 230000009467 reduction Effects 0.000 claims description 27
- 230000000007 visual effect Effects 0.000 claims description 17
- 230000002159 abnormal effect Effects 0.000 claims description 12
- 238000005245 sintering Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 7
- 210000003128 head Anatomy 0.000 description 17
- 230000008859 change Effects 0.000 description 6
- 230000002194 synthesizing effect Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 4
- 230000009977 dual effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 3
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- 238000003384 imaging method Methods 0.000 description 3
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/95—Computational photography systems, e.g. light-field imaging systems
- H04N23/951—Computational photography systems, e.g. light-field imaging systems by using two or more images to influence resolution, frame rate or aspect ratio
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/04—Synchronising
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Abstract
The present invention provides a kind of image processing method, system, readable storage medium storing program for executing and terminal, this method is applied to terminal, terminal is equipped with a main camera and at least two secondary cameras, all cameras are connected by a synchronous signal line, and there is common shooting area between each camera, this method comprises: obtaining the image of each camera sync photography;Every pair is successively taken the photograph into image and a master take the photograph image and carry out image and synthesize, and every time synthesis according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimization images;According to the second preset rules, multiple suboptimization images are subjected to image synthesis, to synthesize a double optimization image.Image processing method, system, readable storage medium storing program for executing and terminal in the present invention by arranging multiple secondary cameras, and are synthesized using multiple image, and exportable more accurate depth map avoids wrong virtualization, while can also be with output low noise and HD image.
Description
Technical field
The present invention relates to multi-cam technical field of imaging, in particular to a kind of image processing method, system, readable storage
Medium and terminal.
Background technique
With the continuous improvement of people's living standards, terminal is constantly being popularized, such as mobile phone, plate, computer, video camera
Deng.Current almost all of smart machine is all integrated with pick-up lens, to realize the camera function of the equipment.
In recent years, it takes pictures the continuous improvement of phase matter requirement with user to terminal, a batch that has been born is configured with preposition double take the photograph
With preposition double terminals taken the photograph, dual camera can get the depth of field of image, and realization is background blurring, or can support optical zoom, colored+
Black and white noise reduction and other effects.Current terminal is developed towards the trend of this multi-cam.
However, although current dual camera can obtain the depth of field of image, can not calibrate, lead in the prior art
Cause background blurring ineffective, for example face, hair etc. be in the object of focal distance, by the virtualization of mistake, while double taking the photograph
As head can not support two kinds of effects of optical zoom and image noise reduction simultaneously, lead to not obtain the image of low noise and high-resolution.
Summary of the invention
Based on this, the object of the present invention is to provide a kind of image processing method, system, readable storage medium storing program for executing and terminal, with
Solve the technical issues of existing dual camera is unable to get low noise and HD image.
A kind of image processing method according to an embodiment of the present invention, is applied to terminal, and the terminal is equipped with a main camera shooting
Head and at least two secondary cameras, all cameras are connected by a synchronous signal line, and the main camera and it is each described in
Common shooting area is all had between secondary camera, which comprises
The master for obtaining the main camera shooting takes the photograph image, and obtains the pair of each secondary camera sync photography respectively
Take the photograph image;
Every pair is successively taken the photograph into image and a master take the photograph image and carry out image and synthesize, and every time synthesis according to
First preset rules are selected, and wherein an image is as benchmark image, to synthesize multiple suboptimization images;
According to the second preset rules, multiple described suboptimization images are subjected to image synthesis, to synthesize two suboptimums
Change image.
In addition, a kind of image processing method according to the above embodiment of the present invention, can also have following additional technology
Feature:
Further, the suboptimization image is depth image.
Further, described the step of multiple described suboptimization images are carried out image synthesis, includes:
According to second preset rules, a suboptimization image is selected as the first benchmark image;
Obtain the object region of depth information exception in first benchmark image;
It obtains in other suboptimization images and believes with the target depth of the object region same area
It ceases, and corrects the depth information of the object region using the target depth information.
Further, the preset rules include any one in following rule:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
Further, the main camera is the first colour imagery shot, includes at least one in all secondary cameras
The equivalent focal length of black and white camera and one second colored camera shooting, first colour imagery shot and the second colored camera shooting exists
Difference.
Further, the image that first colour imagery shot and the black and white camera are shot is synthesized into a suboptimum
Change image the step of include:
According to first preset rules, the first color image for being shot from first colour imagery shot and described black
A selected image is as benchmark image in second luminance signal image of white camera shooting;
First color image is split into the first luminance signal image and the first carrier chrominance signal image;
Based on selected benchmark image, the first luminance signal image and the second luminance signal image are dropped
It makes an uproar synthesis, to obtain the third luminance signal image after noise reduction;
The first carrier chrominance signal image is synthesized with the third luminance signal image, it is described primary after obtaining noise reduction
Optimize image.
Further, the image synthesis described one first colour imagery shot and second colour imagery shot shot
The step of suboptimization image includes:
According to first preset rules, the first color image for being shot from first colour imagery shot and described the
A selected image is as benchmark image in second color image of two colour imagery shots shooting;
According to the focal length size of first colour imagery shot and second colour imagery shot, determine that described first is colored
Main body and context between image and second color image;
Based on selected benchmark image and the main body and context of determination, by first color image and described
Second color image carries out selectivity virtualization synthesis, to obtain the clearly suboptimization image.
Further, the arrangement of each camera is any one in following situations in the terminal:
When being set in the terminal there are two when the secondary camera, the company of the main camera and two pair cameras
Line is mutually perpendicular to;
When being set in the terminal there are three when the secondary camera, all cameras are arranged in rectangular arranged, and four are taken the photograph
As head is located on four angle points of rectangle.
Further, the pin that the main camera is connect with the synchronous signal line is as synchronous signal output end, respectively
The pin that a secondary camera is connect with the synchronous signal line is as synchronous signal input end, and the frame per second phase of each camera
Together.
A kind of image processing system according to an embodiment of the present invention, is applied to terminal, and the terminal is equipped with a main camera shooting
Head and at least two secondary cameras, all cameras are connected by a synchronous signal line, and the main camera and it is each described in
Common shooting area is all had between secondary camera, the system comprises:
Image collection module, the master for obtaining the main camera shooting takes the photograph image, and obtains each pair respectively
The pair of camera sync photography takes the photograph image;
Single sintering module, for every pair successively being taken the photograph image and a master takes the photograph image and carries out image conjunction
At, and every time synthesis according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimums
Change image;
Secondary synthesis module, for according to the second preset rules, multiple described suboptimization images to be carried out image synthesis,
To synthesize a double optimization image.
In addition, a kind of image processing system according to the above embodiment of the present invention, can also have following additional technology
Feature:
Further, the suboptimization image is depth image.
Further, the secondary synthesis module includes:
Benchmark selectes unit, for according to second preset rules, selecting a suboptimization image as the
One benchmark image;
Abnormal acquiring unit, for obtaining the object region of depth information exception in first benchmark image;
Depth calibration unit is identical as the object region for obtaining in other suboptimization images
The target depth information in region, and correct using the target depth information depth information of the object region.
Further, second preset rules include any one in following rule:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
Further, the main camera is the first colour imagery shot, includes at least one in all secondary cameras
The equivalent focal length of black and white camera and one second colored camera shooting, first colour imagery shot and the second colored camera shooting exists
Difference.
Further, the single sintering module includes:
First selected unit is used for according to first preset rules, from the first of first colour imagery shot shooting
A selected image is as benchmark image in color image and the second luminance signal image of black and white camera shooting
Image split cells, for first color image to be split into the first luminance signal image and the first coloration letter
Number image;
First synthesis unit, for the first luminance signal image and the second luminance signal image to be carried out noise reduction
Synthesis, to obtain the third luminance signal image after noise reduction;
First synthesis unit is dropped for synthesizing the first carrier chrominance signal image with third luminance signal image
The suboptimization image after making an uproar.
Further, the single sintering module further include:
Second selected unit is used for according to first preset rules, from the first of first colour imagery shot shooting
A selected image is as benchmark image in color image and the second color image of second colour imagery shot shooting.
Relation determination unit is big for the focal length according to first colour imagery shot and second colour imagery shot
It is small, determine main body and context between first color image and second color image;
Image blurs unit, will be described for the main body and context based on selected benchmark image and determination
First color image and second color image carry out selectivity virtualization synthesis, to obtain the clearly suboptimization figure
Picture.
Further, the arrangement of each camera is any one in following situations in the terminal:
When being set in the terminal there are two when the secondary camera, the company of the main camera and two pair cameras
Line is mutually perpendicular to;
When being set in the terminal there are three when the secondary camera, all cameras are arranged in rectangular arranged, and four are taken the photograph
As head is located on four angle points of rectangle.
Further, the pin that the main camera is connect with the synchronous signal line is as synchronous signal output end, respectively
The pin that a secondary camera is connect with the synchronous signal line is as synchronous signal input end, and the frame per second phase of each camera
Together.
The present invention also proposes a kind of computer readable storage medium, is stored thereon with computer program, and the program is processed
Such as above-mentioned image processing method is realized when device executes.
The present invention also proposes a kind of terminal, including memory, processor and storage are on a memory and can be in processor
The computer program of upper operation, the terminal is equipped with a main camera and at least two secondary cameras, all cameras pass through
The connection of one synchronous signal line, and common shooting area, institute are all had between the main camera and each secondary camera
It states when processor executes described program and realizes such as above-mentioned method.
Above-mentioned image processing method, system, readable storage medium storing program for executing and terminal by arranging multiple secondary cameras, and make to lead
Common shooting area is all had between camera and each secondary camera, image is taken the photograph with one master of synchronous acquisition and a variety of pairs are taken the photograph
Image, then takes the photograph image and a master for every pair and takes the photograph image and carry out image and synthesize, to obtain multiple suboptimization images, this time
Synthesize it is double take the photograph synthesis, can synthesize multiple depth maps and/or at least one is clearly schemed and an at least noise reduction figure, then will be more
It opens a suboptimization image and carries out secondary synthesis, to export a double optimization image, scape can be achieved since multiple depth maps synthesize
Deeply convince the calibration of breath, and clear figure and noise reduction figure can be overlapped mutually synthesis, therefore described image processing method, system, readable deposits
Storage media and the exportable more accurate depth map of terminal, avoid wrong virtualization, while can also be with output low noise and high-resolution map
Picture, the whole image quality for improving shooting image.
Detailed description of the invention
Fig. 1 is the flow chart of the image processing method in first embodiment of the invention;
Fig. 2 is the flow chart of the image processing method in second embodiment of the invention;
Fig. 3 is the arragement construction of each camera in second embodiment of the invention;
Fig. 4 is the arragement construction of each camera in another embodiment of the present invention;
Fig. 5 is the flow chart of the image processing method in third embodiment of the invention;
Fig. 6 is the structural schematic diagram of the image processing system in fourth embodiment of the invention.
Main element symbol description:
Image collection module | 11 | Single sintering module | 12 |
Secondary synthesis module | 13 | Benchmark selectes unit | 131 |
Abnormal acquiring unit | 132 | Depth calibration unit | 133 |
Image split cells | 121 | First synthesis unit | 122 |
First synthesis unit | 123 | Relation determination unit | 124 |
Image blurs unit | 125 |
Following specific embodiments will further illustrate the present invention in conjunction with above-mentioned attached drawing.
Specific embodiment
To facilitate the understanding of the present invention, a more comprehensive description of the invention is given in the following sections with reference to the relevant attached drawings.In attached drawing
Give several embodiments of the invention.But the invention can be realized in many different forms, however it is not limited to this paper institute
The embodiment of description.On the contrary, purpose of providing these embodiments is make it is more thorough and comprehensive to the disclosure.
It should be noted that it can directly on the other element when element is referred to as " being fixedly arranged on " another element
Or there may also be elements placed in the middle.When an element is considered as " connection " another element, it, which can be, is directly connected to
To another element or it may be simultaneously present centering elements.Term as used herein " vertical ", " horizontal ", " left side ",
" right side " and similar statement are for illustrative purposes only.
Unless otherwise defined, all technical and scientific terms used herein and belong to technical field of the invention
The normally understood meaning of technical staff is identical.Term as used herein in the specification of the present invention is intended merely to description tool
The purpose of the embodiment of body, it is not intended that in the limitation present invention.Term " and or " used herein includes one or more phases
Any and all combinations of the listed item of pass.
Referring to Fig. 1, showing the image processing method in first embodiment of the invention, it is applied to terminal, the terminal
It is equipped with a main camera and at least two secondary cameras, all cameras is connected by a synchronous signal line, the main camera shooting
Common shooting area is all had between head and each secondary camera, described image processing method includes that step S01 is extremely walked
Rapid S03.
Step S01, the master for obtaining the main camera shooting take the photograph image, and it is synchronous to obtain each secondary camera respectively
The pair of shooting takes the photograph image.
In the specific implementation, the pin that can be connect main camera with synchronous signal line is as synchronous signal output end, respectively
The pin that a pair camera is connect with synchronous signal line keeps the frame per second of each camera identical as synchronous signal input end,
When main camera starts the exposure of a frame image, synchronization signal is exported, starts simultaneously at exposure to trigger each secondary camera, so that
The picture for obtaining each frame output of all cameras all acquires simultaneously, provides basis for subsequent image synthesis.
In addition to this, it is also necessary to explanation, the selection type of each camera can for final output image requirement come
It is fixed, such as final output image need to be more accurate depth map, then the type of each camera may be selected to be depth camera, most
The requirement of output image is more eventually, and camera quantity and type are more.
Step S02, successively takes the photograph image and a master for every pair and takes the photograph image and carry out image and synthesize, and closes every time
Cheng Jun according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimization images.
Wherein, benchmark image, which refers to, is chosen to be the image for finally obtaining optimum results in two composographs, such as
First image and the second image are synthesized, it is assumed that selected first image is benchmark image, then synthesizes output as the after optimization
One image.
It should be pointed out that synchronizing and obtaining since main camera and each secondary camera all have common shooting area
The master taken takes the photograph image and each pair is taken the photograph between image and all has identical image-region, therefore every secondary camera can be with one
It opens main image of taking the photograph and carries out image synthesis, to be optimized to identical image-region, to obtain a suboptimization image.
Meanwhile image captured by different types of camera respectively has feature, such as black and white camera has noise low
Feature, and the synthesis between different types of camera shooting image can also generate the image of different characteristics, such as black and white camera shooting
The black white image of head shooting is shot coloured image with colour imagery shot to be synthesized, and the low color image of noise can be obtained, realize
To the noise reduction of image;For another example two images containing depth of view information are synthesized, and can synthesize depth map.
In the specific implementation, first preset rules can be any one in following rule:
Bigger or the smaller image of visual field the rule of visual field, such as the first image f iotaeld-of-view is selected to be greater than the second image f iotaeld-of-view,
Then select the first image as benchmark image, while visual field is bigger, image-region is bigger;
The rule of the image of specific camera head shooting is selected, such as selects the image of main camera shooting as benchmark always
Image;
Select the rule of picture quality better image.
Multiple described suboptimization images are carried out image synthesis, to synthesize one according to the second preset rules by step S03
Open double optimization image.
It should be pointed out that the characteristics of each suboptimization image, be predominantly integrated by the image synthesis in this step
On one double optimization image, to obtain better image effect.
To sum up, the image processing method in the above embodiment of the present invention by arranging multiple secondary cameras, and takes the photograph master
As all having common shooting area between head and each secondary camera, image is taken the photograph with one master of synchronous acquisition and a variety of pairs take the photograph figure
Picture, then takes the photograph image and a master for every pair and takes the photograph image and carry out image and synthesize, and to obtain multiple suboptimization images, this time closes
Take the photograph synthesis as double, the clear figure of multiple depth maps and/or at least one and an at least noise reduction figure can be synthesized, then by multiple
One suboptimization image carries out secondary synthesis, and to export a double optimization image, the depth of field can be achieved since multiple depth maps synthesize
The calibration of information, and clear figure and noise reduction figure can be overlapped mutually synthesis, therefore described image processing method, system, readable storage
Medium and the exportable more accurate depth map of terminal, avoid wrong virtualization, at the same can also with output low noise and HD image,
The whole image quality for improving shooting image.
Referring to Fig. 2, showing the image processing method in second embodiment of the invention, it is applied to terminal, the terminal
A main camera and two secondary cameras are equipped with, generally three take the photograph, and each camera is that can shoot to can be used for synthesizing
The camera of the image of depth map, all cameras are connected by a synchronous signal line, and the main camera and each described
Common shooting area is all had between secondary camera, described image processing method includes step S11 to step S15.
Wherein, referring to Fig. 3, showing the arrangement of the present embodiment each camera in the terminal described in, specially
The line of the main camera and two secondary cameras is mutually perpendicular to, this vertical disposition can make main camera and
The image information of each pair camera is with more complementary and more beautiful.Meanwhile all cameras and flash lamp are square row
Column arrangement, and be located on four angle points of rectangle.
Step S11, the master for obtaining the main camera shooting take the photograph image, and it is synchronous to obtain each secondary camera respectively
The pair of shooting takes the photograph image.
In the specific implementation, the pin that can be connect main camera with synchronous signal line is as synchronous signal output end, respectively
The pin that a pair camera is connect with synchronous signal line keeps the frame per second of each camera identical as synchronous signal input end.
It should be pointed out that since each camera is the camera shooting that can shoot the image that can be used for synthesizing depth map
Head, therefore the obtained master of sync pulse jamming takes the photograph image and secondary camera contains depth information.
Step S12, successively takes the photograph image and a master for every pair and takes the photograph image and carry out image and synthesize, and closes every time
Cheng Jun according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimization images.
Wherein, the suboptimization image is depth image, is synthesized according to the depth information of each image.
Step S13 selectes a suboptimization image as the first benchmark image according to the second preset rules.
In the specific implementation, second preset rules include any one in following rule:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
The composograph of specific two cameras shooting image is preferentially selected, such as selects camera A and camera B always
A suboptimization image of image synthesis is shot as the first benchmark image;Or
The rule of the preferential selection highest image of picture quality.
Step S14 obtains the object region of depth information exception in first benchmark image.
It should be pointed out that in depth image, if the appearance depth of view information mistake or the depth of field of a certain image-region are believed
Breath such as can not confirm at the abnormal phenomenon, it will usually be highlighted using specific mode, such as particular color, circle are medium, therefore root
The object region of depth information exception in the first benchmark image can be got according to the mode that each region is shown.
Step S15 obtains the mesh with the object region same area in other suboptimization images
Depth information is marked, and corrects the depth information of the object region using the target depth information, to obtain one
Double optimization image.
It should be understood that the purpose of this step is, the depth by obtaining identical image region in other images is believed
It ceases to correct the depth information of benchmark image corresponding region, so that benchmark image becomes more accurate depth map, then exports.
In addition to this, referring to Fig. 4, in another embodiment, a main camera and three can also be arranged in the terminal
A pair camera, generally four take the photograph, and the arrangement of each camera can also be square arranged for all cameras, flash of light
Lamp is arranged in the center position that each camera surrounds region.But it should be recognized that image processing method in the present invention, unlimited
It takes the photograph in three and is taken the photograph with four, in other embodiments, can also be taken the photograph or more for five, it specifically can be according to the requirement of final output image
To determine.
To sum up, the image processing method in the above embodiment of the present invention, when being executed can realize to depth map from
Row calibration, can export more accurate depth map.
Referring to Fig. 5, showing the image processing method in third embodiment of the invention, it is applied to terminal, the terminal
A main camera and two secondary cameras are equipped with, the main camera is the first colour imagery shot, two secondary cameras
A respectively black and white camera and one second colored camera shooting, first colour imagery shot and second colour image equivalent
Focal length has differences, and all cameras are connected by a synchronous signal line, and the main camera and each secondary camera
Between all have common shooting area, described image processing method includes step S21 to step S29.
Wherein, the arrangement of each camera sees Fig. 3 and is arranged in the terminal in the present embodiment, herein
It is not repeating.
Step S21, the master for obtaining the main camera shooting take the photograph image, and it is synchronous to obtain each secondary camera respectively
The pair of shooting takes the photograph image.
It should be pointed out that the first colour imagery shot and the second colour imagery shot are colour imaging camera, shooting
Image is color image, and color image generally has the luminance information that can be split and chrominance information, and black and white camera is black
White imaging camera head, shooting image is black white image, and black white image only has luminance information, and noise is low, picture steadiness
It is good, therefore master takes the photograph image and wherein a pair takes the photograph image as color image, it is black white image that another pair, which takes the photograph image,.
Step S22, according to the first preset rules, the first color image shot from first colour imagery shot and institute
It states and selectes an image in the second luminance signal image of black and white camera shooting as benchmark image.
First color image is split into the first luminance signal image and the first carrier chrominance signal image by step S23.
Step S24, based on selected benchmark image, by the first luminance signal image and the second luminance signal figure
As carrying out noise reduction synthesis, to obtain the third luminance signal image after noise reduction.
In the specific implementation, the second luminance signal the first luminance signal image and the black and white camera shot
The process that image carries out noise reduction synthesis can be that calculating the first luminance signal image and the second luminance signal image are same
The pixel mean value of one pixel then as the final pixel value after the synthesis of the pixel, and final pixel value is rendered into
On benchmark image, to obtain third luminance signal image.
It should be pointed out that since black white image only has luminance information, therefore the second luminance signal image is black and white
The black white image of camera shooting, simultaneously because the second luminance signal noise is low, therefore the first luminance signal image
After being synthesized with the second luminance signal image, obtained third luminance signal image has the characteristics that noise is low.
Step S25, based on selected benchmark image, by the first carrier chrominance signal image and the third luminance signal figure
As synthesis, a suboptimization image after obtaining noise reduction.
It should be understood that the first carrier chrominance signal image and the third luminance signal image are synthesized, will
To a color image, since the third luminance signal image noise is low, so that whole obtain the low color image of noise, it is real
Now to the noise reduction of image.
Step S26 is clapped according to first preset rules from first color image and second colour imagery shot
A selected image is as benchmark image in the second color image taken the photograph;
Step S27, according to the focal length size of first colour imagery shot and second colour imagery shot, determine described in
Main body and context between first color image and second color image.
It should be understood that focal length is bigger, camera shooting is remoter, and commonly used in capturing background, otherwise focal length is smaller, camera shooting
Head shooting is more into commonly used in capturing main body, therefore according to first colour imagery shot and second colour imagery shot
Focal length size can determine the first color image and the second color image image based on what, what is background image.
Step S28, based on selected benchmark image and the main body and context of determination, by first cromogram
Picture and second color image carry out selectivity virtualization synthesis, to obtain the clearly suboptimization image.
Wherein, the selectivity virtualization can be appointing in virtualization background, virtualization main body or a certain image-region of virtualization
It anticipates one kind, is specifically preset or terminal handler voluntarily determines.
It should be pointed out that above-mentioned steps S22 is to step S25 main purpose, by first colour imagery shot and
The image of the black and white camera shooting synthesizes a suboptimization image.And above-mentioned steps S26 is to step S28 main purpose,
The image that first colour imagery shot and second colour imagery shot are shot is synthesized into a suboptimization image.In the present embodiment
In the middle, step S22-S25 is arranged in, and is executed before step S26-S28, however, the present invention is not limited thereto, in other embodiments,
Step S26-S28 is executed before can also being arranged in step S22-S25, or synchronous execution.
Multiple described suboptimization images are carried out image synthesis, to synthesize one according to the second preset rules by step S29
Open double optimization image.
Wherein, second preset rules can be first to select a suboptimization image as benchmark image, then will
Multiple suboptimization images carry out the pixel synthesis in identical image region, and are rendered on the corresponding region of benchmark image, with
To final output image.
To sum up, the image processing method in the above embodiment of the present invention can support optical zoom and coloured silk when being executed
Color+black and white noise reduction and other effects is capable of the image of output low noise and high-resolution.
In addition to this, in another embodiment, a main camera and three secondary cameras can also be arranged in the terminal,
Generally four take the photograph, and the arrangement of each camera sees Fig. 4 and is arranged, and are not repeating herein.But it should be recognized that this
Image processing method in invention is not limited to three and takes the photograph take the photograph with four, in other embodiments, can also take the photograph or more for five, specifically
It can be determined according to the requirement of final output image.
Another aspect of the present invention also provides a kind of image processing system, described to please refer to Fig. 6, and it is real to show the present invention the 4th
The image processing system in example is applied, terminal is applied to, the terminal is equipped with a main camera and at least two secondary cameras, institute
There is camera to connect by a synchronous signal line, and is all had between the main camera and each secondary camera common
Shooting area, the system comprises:
Image collection module 11, the master for obtaining the main camera shooting takes the photograph image, and obtains respectively each described
The pair of secondary camera sync photography takes the photograph image;
Single sintering module 12, for every pair successively being taken the photograph image and a master takes the photograph image and carries out image conjunction
At, and every time synthesis according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimums
Change image;
Secondary synthesis module 13, for according to the second preset rules, multiple described suboptimization images to be carried out image conjunction
At to synthesize a double optimization image.
Further, the suboptimization image is depth image.
Further, the secondary synthesis module 13 includes:
Benchmark selectes unit 131, for selecting a suboptimization image conduct according to second preset rules
First benchmark image;
Abnormal acquiring unit 132, for obtaining the object region of depth information exception in first benchmark image;
Depth calibration unit 133, for being obtained and the object region in other suboptimization images
The target depth information of same area, and correct using the target depth information depth letter of the object region
Breath.
Further, second preset rules include any one in following rule:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
Further, the main camera is the first colour imagery shot, includes at least one in all secondary cameras
The equivalent focal length of black and white camera and one second colored camera shooting, first colour imagery shot and the second colored camera shooting exists
Difference.
Further, the single sintering module 12 includes:
First selected unit 121, for being shot from first colour imagery shot according to first preset rules
A selected image is as benchmark image in one color image and the second luminance signal image of black and white camera shooting
Image split cells 122, for first color image to be split into the first luminance signal image and the first color
Spend signal pattern;
First synthesis unit 123, for carrying out the first luminance signal image and the second luminance signal image
Noise reduction synthesis, to obtain the third luminance signal image after noise reduction;
First synthesis unit 124 is obtained for synthesizing the first carrier chrominance signal image with third luminance signal image
The suboptimization image after noise reduction.
Further, the single sintering module 12 further include:
Second selected unit 125, for being shot from first colour imagery shot according to first preset rules
A selected image is as reference map in one color image and the second color image of second colour imagery shot shooting
Picture.
Relation determination unit 126, for the focal length according to first colour imagery shot and second colour imagery shot
Size determines main body and context between first color image and second color image;
Image blurs unit 127, for the main body and context based on selected benchmark image and determination, by institute
It states the first color image and second color image carries out selectivity virtualization synthesis, to obtain the clearly suboptimization figure
Picture.
Further, the arrangement of each camera is any one in following situations in the terminal:
When being set in the terminal there are two when the secondary camera, the company of the main camera and two pair cameras
Line is mutually perpendicular to;
When being set in the terminal there are three when the secondary camera, all cameras are arranged in rectangular arranged, and four are taken the photograph
As head is located on four angle points of rectangle.
Further, the pin that the main camera is connect with the synchronous signal line is as synchronous signal output end, respectively
The pin that a secondary camera is connect with the synchronous signal line is as synchronous signal input end, and the frame per second phase of each camera
Together.
The present invention also proposes a kind of computer readable storage medium, is stored thereon with computer program, and the program is processed
Such as above-mentioned image processing method is realized when device executes.
The present invention also proposes a kind of terminal, including memory, processor and storage are on a memory and can be in processor
The computer program of upper operation, the terminal is equipped with a main camera and at least two secondary cameras, all cameras pass through
The connection of one synchronous signal line, and the shooting area of the main camera is equal to or the shooting area comprising the secondary camera, institute
It states when processor executes described program and realizes such as above-mentioned method.
It should be understood that the terminal includes but is not limited to mobile phone, computer, plate, smart television, security device, intelligence
Wearable device etc..
It will be understood by those skilled in the art that in flow charts indicate or logic described otherwise above herein and/or
Step may be embodied in and appoint for example, being considered the order list of the executable instruction for realizing logic function
In what computer-readable medium, for instruction execution system, device or equipment (such as computer based system including processor
System or other can be from instruction execution system, device or equipment instruction fetch and the system executed instruction) use, or combine this
A little instruction execution systems, device or equipment and use.For the purpose of this specification, " computer-readable medium " can be it is any can be with
Include, store, communicate, propagate, or transport program is for instruction execution system, device or equipment or in conjunction with these instruction execution systems
System, device or equipment and the device used.
The more specific example (non-exhaustive list) of computer-readable medium include the following: there are one or more wirings
Electrical connection section (electronic device), portable computer diskette box (magnetic device), random access memory (RAM), read-only memory
(ROM), erasable edit read-only storage (EPROM or flash memory), fiber device and portable optic disk is read-only deposits
Reservoir (CDROM).In addition, computer-readable medium can even is that the paper that can print described program on it or other are suitable
Medium, because can then be edited, be interpreted or when necessary with it for example by carrying out optical scanner to paper or other media
His suitable method is handled electronically to obtain described program, is then stored in computer storage.
It should be appreciated that each section of the invention can be realized with hardware, software, firmware or their combination.Above-mentioned
In embodiment, software that multiple steps or method can be executed in memory and by suitable instruction execution system with storage
Or firmware is realized.It, and in another embodiment, can be under well known in the art for example, if realized with hardware
Any one of column technology or their combination are realized: having a logic gates for realizing logic function to data-signal
Discrete logic, with suitable combinational logic gate circuit specific integrated circuit, programmable gate array (PGA), scene
Programmable gate array (FPGA) etc..
In the description of this specification, reference term " one embodiment ", " some embodiments ", " example ", " specifically show
The description of example " or " some examples " etc. means specific features, structure, material or spy described in conjunction with this embodiment or example
Point is included at least one embodiment or example of the invention.In the present specification, schematic expression of the above terms are not
Centainly refer to identical embodiment or example.Moreover, particular features, structures, materials, or characteristics described can be any
One or more embodiment or examples in can be combined in any suitable manner.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
The embodiment of the present invention further discloses:
A1. a kind of image processing method is applied to terminal, and the terminal is equipped with a main camera and at least two pairs are taken the photograph
As head, all cameras are connected by a synchronous signal line, and are had between the main camera and each secondary camera
There is common shooting area, which comprises
The master for obtaining the main camera shooting takes the photograph image, and obtains the pair of each secondary camera sync photography respectively
Take the photograph image;
Every pair is successively taken the photograph into image and a master take the photograph image and carry out image and synthesize, and every time synthesis according to
First preset rules are selected, and wherein an image is as benchmark image, to synthesize multiple suboptimization images;
According to the second preset rules, multiple described suboptimization images are subjected to image synthesis, to synthesize two suboptimums
Change image.
A2. image processing method according to a1, the suboptimization image are depth image.
A3. the image processing method according to A2, it is described that multiple described suboptimization images are subjected to image synthesis
Step includes:
According to second preset rules, a suboptimization image is selected as the first benchmark image;
Obtain the object region of depth information exception in first benchmark image;
It obtains in other suboptimization images and believes with the target depth of the object region same area
It ceases, and corrects the depth information of the object region using the target depth information.
A4. image processing method according to a3, second preset rules include any one in following rule
Kind:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
A5. image processing method according to a1, the main camera are the first colour imagery shot, and all pairs are taken the photograph
As including at least a black and white camera and one second colored camera shooting, first colour imagery shot and second colour in head
The equivalent focal length of camera shooting has differences.
A6. image processing method according to a5 shoots first colour imagery shot and the black and white camera
Image synthesize a suboptimization image the step of include:
According to first preset rules, the first color image for being shot from first colour imagery shot and described black
A selected image is as benchmark image in second luminance signal image of white camera shooting;
First color image is split into the first luminance signal image and the first carrier chrominance signal image;
Based on selected benchmark image, the first luminance signal image and the second luminance signal image are dropped
It makes an uproar synthesis, to obtain the third luminance signal image after noise reduction;
The first carrier chrominance signal image is synthesized with the third luminance signal image, it is described primary after obtaining noise reduction
Optimize image.
A7. image processing method according to a5, by first colour imagery shot and second colour imagery shot
The image of shooting synthesizes the step of suboptimization image and includes:
According to first preset rules, the first color image for being shot from first colour imagery shot and described the
A selected image is as benchmark image in second color image of two colour imagery shots shooting;
According to the focal length size of first colour imagery shot and second colour imagery shot, determine that described first is colored
Main body and context between image and second color image;
Based on selected benchmark image and the main body and context of determination, by first color image and described
Second color image carries out selectivity virtualization synthesis, to obtain the clearly suboptimization image.
A8. image processing method according to a1, the arrangement of each camera is worked as following situations in the terminal
In any one:
When being set in the terminal there are two when the secondary camera, the company of the main camera and two pair cameras
Line is mutually perpendicular to;
When being set in the terminal there are three when the secondary camera, all cameras are arranged in rectangular arranged, and four are taken the photograph
As head is located on four angle points of rectangle.
A9. image processing method according to a1, the pin that the main camera is connect with the synchronous signal line are made
For synchronous signal output end, the pin that each secondary camera is connect with the synchronous signal line is inputted as synchronization signal
End, and the frame per second of each camera is identical.
B10. a kind of image processing system, is applied to terminal, and the terminal is equipped with a main camera and at least two pairs
Camera, all cameras are connected by a synchronous signal line, and between the main camera and each secondary camera
With common shooting area, the system comprises:
Image collection module, the master for obtaining the main camera shooting takes the photograph image, and obtains each pair respectively
The pair of camera sync photography takes the photograph image;
Single sintering module, for every pair successively being taken the photograph image and a master takes the photograph image and carries out image conjunction
At, and every time synthesis according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimums
Change image;
Secondary synthesis module, for according to the second preset rules, multiple described suboptimization images to be carried out image synthesis,
To synthesize a double optimization image.
B11. image processing system according to b10, the suboptimization image are depth image.
B12. the image processing system according to B11, the secondary synthesis module include:
Benchmark selectes unit, for according to second preset rules, selecting a suboptimization image as the
One benchmark image;
Abnormal acquiring unit, for obtaining the object region of depth information exception in first benchmark image;
Depth calibration unit is identical as the object region for obtaining in other suboptimization images
The target depth information in region, and correct using the target depth information depth information of the object region.
B13. image processing system according to b12, second preset rules include any in following rule
It is a kind of:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
B14. image processing system according to b10, the main camera are the first colour imagery shot, all pairs
A black and white camera and one second colored camera shooting, first colour imagery shot and second coloured silk are included at least in camera
The equivalent focal length of color camera shooting has differences.
B15. image processing system according to b14, the single sintering module include:
First selected unit is used for according to first preset rules, from the first of first colour imagery shot shooting
A selected image is as benchmark image in color image and the second luminance signal image of black and white camera shooting
Image split cells, for first color image to be split into the first luminance signal image and the first coloration letter
Number image;
First synthesis unit, for the first luminance signal image and the second luminance signal image to be carried out noise reduction
Synthesis, to obtain the third luminance signal image after noise reduction;
First synthesis unit is dropped for synthesizing the first carrier chrominance signal image with third luminance signal image
The suboptimization image after making an uproar.
B16. image processing system according to b14, the single sintering module further include:
Second selected unit is used for according to first preset rules, from the first of first colour imagery shot shooting
A selected image is as benchmark image in color image and the second color image of second colour imagery shot shooting.
Relation determination unit is big for the focal length according to first colour imagery shot and second colour imagery shot
It is small, determine main body and context between first color image and second color image;
Image blurs unit, will be described for the main body and context based on selected benchmark image and determination
First color image and second color image carry out selectivity virtualization synthesis, to obtain the clearly suboptimization figure
Picture.
B17. image processing system according to b10, the arrangement of each camera is following situations in the terminal
In the middle any one:
When being set in the terminal there are two when the secondary camera, the company of the main camera and two pair cameras
Line is mutually perpendicular to;
When being set in the terminal there are three when the secondary camera, all cameras are arranged in rectangular arranged, and four are taken the photograph
As head is located on four angle points of rectangle.
B18. image processing system according to b10, the pin that the main camera is connect with the synchronous signal line
As synchronous signal output end, the pin that each secondary camera is connect with the synchronous signal line is inputted as synchronization signal
End, and the frame per second of each camera is identical.
C19. a kind of computer readable storage medium, is stored thereon with computer program, when which is executed by processor
Realize the method as described in A1-A9 is any.
D20. a kind of terminal can be run on a memory and on a processor including memory, processor and storage
Computer program, the terminal are equipped with a main camera and at least two secondary cameras, and all cameras pass through a synchronous letter
The connection of number line, and common shooting area, the processor are all had between the main camera and each secondary camera
The method as described in A1-A9 is any is realized when executing described program.
Claims (10)
1. a kind of image processing method is applied to terminal, which is characterized in that the terminal is equipped with a main camera and at least two
It is a pair camera, all cameras by a synchronous signal line connect, and the main camera and it is each it is described pair camera it
Between all have common shooting area, which comprises
The master for obtaining the main camera shooting takes the photograph image, and the pair for obtaining each secondary camera sync photography respectively takes the photograph figure
Picture;
Every pair is successively taken the photograph into image and a master take the photograph image and carry out image and synthesize, and every time synthesis according to first
Preset rules are selected, and wherein an image is as benchmark image, to synthesize multiple suboptimization images;
According to the second preset rules, multiple described suboptimization images are subjected to image synthesis, to synthesize a double optimization figure
Picture.
2. image processing method according to claim 1, which is characterized in that the suboptimization image is depth image.
3. image processing method according to claim 2, which is characterized in that it is described by multiple described suboptimization images into
Row image synthesize the step of include:
According to second preset rules, a suboptimization image is selected as the first benchmark image;
Obtain the object region of depth information exception in first benchmark image;
The target depth information with the object region same area is obtained in other suboptimization images, and
The depth information of the object region is corrected using the target depth information.
4. image processing method according to claim 3, which is characterized in that second preset rules include following rule
In the middle any one:
The rule of preferential selection least image containing abnormal depth information;
The rule of the preferential selection maximum image of visual field;
The rule of the preferential selection the smallest image of visual field;
Preferentially select the composograph of specific two cameras shooting image;Or
The rule of the preferential selection highest image of picture quality.
5. image processing method according to claim 1, which is characterized in that the main camera is the first colored camera shooting
Head, all secondary cameras include at least a black and white camera and one second colored camera shooting, the described first colored camera shooting in the middle
Head and the equivalent focal length of the second colored camera shooting have differences.
6. image processing method according to claim 5, which is characterized in that by first colour imagery shot and described black
The step of image of white camera shooting synthesizes the suboptimization image include:
According to first preset rules, the first color image and the black and white shot from first colour imagery shot is taken the photograph
A selected image is as benchmark image in the second luminance signal image shot as head;
First color image is split into the first luminance signal image and the first carrier chrominance signal image;
Based on selected benchmark image, the first luminance signal image and the second luminance signal image are subjected to noise reduction conjunction
At to obtain the third luminance signal image after noise reduction;
The first carrier chrominance signal image is synthesized with the third luminance signal image, the suboptimization after obtaining noise reduction
Image.
7. image processing method according to claim 5, which is characterized in that by first colour imagery shot and described
Two colour imagery shots shooting image synthesize a suboptimization image the step of include:
According to first preset rules, the first color image shot from first colour imagery shot and second coloured silk
A selected image is as benchmark image in second color image of color camera shooting;
According to the focal length size of first colour imagery shot and second colour imagery shot, first color image is determined
Main body and context between second color image;
Based on selected benchmark image and the main body and context of determination, by first color image and described second
Color image carries out selectivity virtualization synthesis, to obtain the clearly suboptimization image.
8. a kind of image processing system is applied to terminal, which is characterized in that the terminal is equipped with a main camera and at least two
It is a pair camera, all cameras by a synchronous signal line connect, and the main camera and it is each it is described pair camera it
Between all have common shooting area, the system comprises:
Image collection module, the master for obtaining the main camera shooting takes the photograph image, and obtains each secondary camera shooting respectively
The pair of head sync pulse jamming takes the photograph image;
Single sintering module, takes the photograph image and carries out image for every pair successively to be taken the photograph image and a master and synthesize, and
Every time synthesis according to the first preset rules it is selected wherein an image is as benchmark image, to synthesize multiple suboptimization figures
Picture;
Secondary synthesis module, for multiple described suboptimization images being carried out image synthesis, to close according to the second preset rules
At a double optimization image.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
Method as claimed in claim 1 is realized when row.
10. a kind of terminal including memory, processor and stores the computer that can be run on a memory and on a processor
Program, which is characterized in that the terminal is equipped with a main camera and at least two secondary cameras, and all cameras are by together
Signal wire connection is walked, and all has common shooting area, the place between the main camera and each secondary camera
Reason device realizes method as claimed in claim 1 when executing described program.
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CN201810747463.2A CN109064415A (en) | 2018-07-09 | 2018-07-09 | Image processing method, system, readable storage medium storing program for executing and terminal |
PCT/CN2019/094934 WO2020011112A1 (en) | 2018-07-09 | 2019-07-05 | Image processing method and system, readable storage medium, and terminal |
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