CN105578063B - A kind of image processing method and terminal - Google Patents

A kind of image processing method and terminal Download PDF

Info

Publication number
CN105578063B
CN105578063B CN201510413773.7A CN201510413773A CN105578063B CN 105578063 B CN105578063 B CN 105578063B CN 201510413773 A CN201510413773 A CN 201510413773A CN 105578063 B CN105578063 B CN 105578063B
Authority
CN
China
Prior art keywords
image
black white
coloured
camera
coloured image
Prior art date
Application number
CN201510413773.7A
Other languages
Chinese (zh)
Other versions
CN105578063A (en
Inventor
朱先鹏
王显林
Original Assignee
宇龙计算机通信科技(深圳)有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 宇龙计算机通信科技(深圳)有限公司 filed Critical 宇龙计算机通信科技(深圳)有限公司
Priority to CN201510413773.7A priority Critical patent/CN105578063B/en
Publication of CN105578063A publication Critical patent/CN105578063A/en
Application granted granted Critical
Publication of CN105578063B publication Critical patent/CN105578063B/en

Links

Abstract

The invention discloses a kind of image processing method, methods described includes:The coloured image of the first camera shooting and the black white image of same time second camera shooting are obtained, first camera is located at the same side of terminal with the second camera;Extract the color information parameter of each pixel in the coloured image;Extract the half-tone information parameter of each pixel in the black white image;According to the half-tone information parameter of corresponding pixel points in the color information parameter of pixel in the coloured image and the black white image, the color information parameter of corresponding pixel points in output image is determined.The invention also discloses a kind of image processing terminal.Using the present invention, the shooting effect of low illumination conditions hypograph can be improved.

Description

A kind of image processing method and terminal

Technical field

The present invention relates to electronic technology field, more particularly to a kind of image processing method and terminal.

Background technology

As the development of electronic product and image processing techniques is more and more quicker, the image that people shoot to electronic product Shooting effect requires also more and more higher.At present, shooting is realized generally by integrated a colour imagery shot on electronic product The function of photochrome, colour imagery shot is the perception by focusing on white light realization to external environment, and ambient removes White light (visible ray) outside, also there is infrared ray, when being in the environment of low-light level, white light seldom and infrared ray account for leading Lead, the color pixel that infrared ray is formed on a sensor when this results in the shooting under low-light level environment can interfere with white light and pass The coloured image formed on sensor, so that taking the photo come has color error ratio, shooting effect is poor.

The content of the invention

Technical problem to be solved of the embodiment of the present invention is, there is provided a kind of image processing method and terminal, Ke Yigai The shooting effect and presentation effect of kind low illumination conditions hypograph.

In order to solve the above-mentioned technical problem, the embodiments of the invention provide a kind of image processing method, methods described to include:

Obtain the coloured image of the first camera shooting and the black white image of same time second camera shooting, described the One camera is located at the same side of terminal with the second camera;

Extract the color information parameter of each pixel in the coloured image;

Extract the half-tone information parameter of each pixel in the black white image;

According to corresponding pixel points in the color information parameter of pixel in the coloured image and the black white image Half-tone information parameter, determine the color information parameter of corresponding pixel points in output image.

Correspondingly, the embodiment of the present invention additionally provides a kind of image processing terminal, including:

Image collection module, for obtaining coloured image and the shooting of same time second camera of the shooting of the first camera Black white image, first camera and the second camera are located at the same side of terminal;

Colouring information extraction module, for extracting the color information parameter of each pixel in the coloured image;

Half-tone information extraction module, for extracting the half-tone information parameter of each pixel in the black white image;

Output image module, for according to the color information parameter of pixel in the coloured image and the artwork master The half-tone information parameter of corresponding pixel points as in, determine the color information parameter of corresponding pixel points in output image.

The embodiment of the present invention is by obtaining the coloured image and the shooting of same time second camera that the first camera is shot Black white image, extract the color information parameter of each pixel in the coloured image, extract each in the black white image The half-tone information parameter of pixel, according in the color information parameter of pixel in the coloured image and the black white image The half-tone information parameter of corresponding pixel points, determines the color information parameter of corresponding pixel points in output image, improves low-light level The shooting effect of situation hypograph.

Brief description of the drawings

In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing There is the required accompanying drawing used in technology description to be briefly described, it should be apparent that, drawings in the following description are only this Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, can be with Other accompanying drawings are obtained according to these accompanying drawings.

Fig. 1 is a kind of schematic flow sheet of image processing method in the embodiment of the present invention;

Fig. 2 is the schematic flow sheet of image processing method in another embodiment of the present invention;

Fig. 3 is a kind of composition structural representation of image processing terminal in the embodiment of the present invention;

Fig. 4 is the output image module composition structure chart of Fig. 3 in the embodiment of the present invention;

Fig. 5 is the registration module composition structure chart of Fig. 3 in the embodiment of the present invention;

Fig. 6 is the schematic diagram that coordinate maps in the embodiment of the present invention.

Embodiment

Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, rather than whole embodiments.It is based on Embodiment in the present invention, those of ordinary skill in the art are obtained every other under the premise of creative work is not made Embodiment, belong to the scope of protection of the invention.

Fig. 1 is that a kind of schematic flow sheet of image processing method, this method flow can be by images in the embodiment of the present invention Processing terminal is implemented, and described image processing terminal can include mobile phone, notebook computer, tablet personal computer, digital camera etc..Such as figure Method flow in shown the present embodiment can include:

Step S101, obtain the coloured image of the first camera shooting and the artwork master of same time second camera shooting Picture, first camera are located at the same side of terminal with the second camera.

Specifically, after the photographing instruction of user is received, it is described to be imaged positioned at first camera of the same side and second Head will find a view taking pictures, and the relative position of first camera and the second camera can be one on the other either One the first from left is right, and both relative distance will can guarantee that in shooting process, first camera and the second camera Viewfinder range, the acquisition parameters such as angle are all consistent substantially.First camera is provided with the colored filter for filtering out infrared ray Light microscopic, when being taken pictures under such low-light level, a small amount of white light can pass through first camera and reach sensor in environment, make institute State the first camera and photograph coloured image by focusing on white light;The second camera is provided with the infrared filtering for filtering out white light Mirror, because infrared ray is not reduced during low-light level, infrared ray reaches sensor through the second camera, makes described second Camera photographs the black white image for being filtered white light.Afterwards, terminal obtains the coloured image of the first camera shooting With the black white image of second camera shooting, the parameter for further extraction pixel.

It is further alternative, when the brightness value of terminal induction to environment is less than default luminance threshold, can lead to respectively Cross opened when first camera and the second camera shoot the coloured image and the black white image flash lamp to Shooting direction irradiates fill-in light, and the fill-in light includes white light and infrared ray.Due to the presence of optical filtering, two kinds of light mutually will not The coloured image and the black white image to shooting produce interference, therefore white light may only give the first camera light filling, red Outside line may only give second camera light filling, to improve the brightness of shooting environmental.

Step S102, extract the color information parameter of each pixel in the coloured image.

Specifically, the coloured image is made up of a number of pixel, each pixel all includes colouring information Parameter, terminal are exactly to preserve and reduce the coloured image by extracting the color information parameter of each pixel.Need It is noted that the color information parameter of coloured image described here is the RGB parameters of RGB color, wherein R, G and B is The coloured image represents Red Green Blue light in each pixel in the color space component of RGB color respectively Shared numerical value in point.Different R, G and B numerical value can represent different colourity, therefore by extracting the RGB parameters, can To obtain the colouring information of each pixel in the coloured image.

Step S103, extract the half-tone information parameter of each pixel in the black white image.

Specifically, the black white image is made up of a number of pixel, each pixel all includes half-tone information Parameter, terminal are exactly to preserve and reduce the black white image by extracting the half-tone information parameter of each pixel.Need It is noted that the half-tone information parameter of black white image described here is the YUV parameters of YUV color spaces, wherein Y, U and V is The black white image represents the luminance component Y and colourity of each pixel in the color space component of YUV color spaces respectively Component U, V, wherein chromatic component can describe tone and saturation degree.If only Y-signal component is without U, V component, then The image so represented is exactly black and white gray level image.Therefore by extracting the YUV parameters, can obtain in the black white image Each pixel half-tone information.

Step S104, according to corresponding in the color information parameter of pixel in the coloured image and the black white image The half-tone information parameter of pixel, determine the color information parameter of corresponding pixel points in output image.

Specifically, the color information parameter according to pixel in the coloured image of step S102 and step S103 extractions And in the black white image corresponding pixel points half-tone information parameter, can synthesize to obtain the respective pixel of the output image The color information parameter of point, so as to which the terminal can is according to the color information parameter of the corresponding pixel points of the output image To preserve, reduce and present the output image.Gray scale of the black white image than each pixel that the coloured image includes Information parameter (luminance component Y) is more accurate, and the coloured image is believed than the color for each pixel that the black white image includes It is more accurate to cease parameter (rgb space component), after synthesis, the output image quality can be obtained by improvement.It is specific real Shi Zhong, image registration first can be carried out to the coloured image and the black white image, to determine to be directed to same photographic subjects The corresponding relation of pixel of the position in the coloured image and the pixel of the black white image.Afterwards, by the black and white Image the YUV color spaces YUV Parameter Switch into the RGB color RGB parameters, then by the black white image RGB parameters compensate RGB parameters to the coloured image, the RGB parameters of the output image are determined, finally according to described defeated The RGB parameters for going out image preserve or shown the output image.

The embodiment of the present invention is by obtaining the coloured image and the shooting of same time second camera that the first camera is shot Black white image, extract the color information parameter of each pixel in the coloured image, extract each in the black white image The half-tone information parameter of pixel, according in the color information parameter of pixel in the coloured image and the black white image The half-tone information parameter of corresponding pixel points, determines the color information parameter of corresponding pixel points in output image, improves low-light level The shooting effect of situation hypograph.

Fig. 2 is the schematic flow sheet of image processing method in another embodiment of the present invention.As shown in the figure in the present embodiment Method flow can include:

Step S201, obtain the coloured image of the first camera shooting and the artwork master of same time second camera shooting Picture, first camera are located at the same side of terminal with the second camera.

Specific method refers to step S101.

Step S202, determine the displacement difference vector between the coloured image and the black white image.

Specifically, due to certain distance, the institute of the first camera shooting between the first camera and second camera be present The black white image for stating coloured image and second camera shooting will have certain skew, it is therefore desirable to the colour Image and the black white image carry out image registration, first just it needs to be determined that between the coloured image and the black white image Displacement difference vector.In specific implementation, the terminal by detect two images similar features point, extract the coloured image and At least one set of fixed reference feature point pair of the black white image;According to the fixed reference feature point to respectively in the coloured image and institute The reference coordinate on black white image is stated, determines the coordinate mapping relations of the coloured image and the black white image;Then by institute State mapping relations and be converted into corresponding displacement difference vector.The displacement difference vector have recorded the coloured image and the black and white Image spatially differ apart from size and correspondence direction, important parameter when being translation compensation.For simplest example For, as shown in fig. 6, in plane X-Y coordinate, one group of fixed reference feature point pair of the coloured image and the black white image Coordinate is (1,1) and (2,2), then it is X to obtain its mapping relations2=X1+ 1, Y2=Y1+ 1, then existed according to the mapping relations Obtain displacement difference vector as depicted.

Step S203, according to the displacement difference vector, translation compensation is carried out to the coloured image and the black white image.

Specifically, after determining the displacement difference vector, side that the terminal can is pointed to according to the displacement difference vector To with apart from size, translation compensation being carried out to the coloured image and the black white image, to determine to be directed to same photographic subjects The corresponding relation of pixel of the position in the coloured image and the pixel of the black white image.To the coloured image with And the image registration of the black white image, can match somebody with somebody using the black white image as with reference to coloured image progress image It is accurate or be with reference to black white image progress image registration using the coloured image., can be with specific implementation The black white image is to carry out translation compensation with reference to the coloured image, i.e., described black white image remains stationary as, and only translates institute State coloured image;Or in turn, translation compensation, i.e. institute can be carried out using the coloured image as with reference to the black white image State coloured image to remain stationary as, only translate the black white image;On the other hand, a reference coordinate can also be set, by described in Black white image and the coloured image are using the reference coordinate as with reference to progress translation compensation, i.e., described black white image and the coloured silk Color image is to the position translation of reference coordinate.Because the above two can reduce time and the difficulty of image procossing, therefore here From a method as translation compensation in the above two.

Step S204, extract RGB parameter of each pixel in the coloured image in RGB color.

Specifically, the coloured image is made up of a number of pixel, each pixel is all empty comprising RGB color Between RGB parameters, terminal is exactly to preserve and reduce the coloured image by extracting the RGB parameters of each pixel. It should be noted that R, G and B are color space component of the coloured image in RGB color here, represent respectively Red Green Blue light numerical value shared in each pixel.Different R, G and B numerical value can represent different colourity, Therefore by extracting the RGB parameters, the colouring information of each pixel in the coloured image can be obtained.

Step S205, extract YUV parameter of each pixel in the black white image in YUV color spaces.

Specifically, the black white image is made up of a number of pixel, each pixel is all empty comprising YUV colors Between YUV parameters, terminal is exactly to preserve and reduce the black white image by extracting the YUV parameters of each pixel. It should be noted that Y, U and V are color space component of the black white image in YUV color spaces here, represent respectively every The luminance component Y and chromatic component U, V of individual pixel, wherein chromatic component can describe tone and saturation degree.If only Y believes Number component is without U, V component, then the image so represented is exactly black and white gray level image.Therefore joined by extracting the YUV Number, the half-tone information of each pixel in the black white image can be obtained.Further, step S202 and step S203 be Registration has been carried out to the coloured image and the black white image, therefore for same photographic subjects position in the coloured image In the pixel that collects one-to-one relation be present with the pixel collected in the black white image.

Step S206, the black white image is empty into the RGB color in the YUV Parameter Switch of the YUV color spaces Between RGB parameters.

Specifically, the conversion formula of the YUV parameters and the RGB parameters is as follows:

R=1.164 (Y-16)+1.596 (V-128)

G=1.164 (Y-16) -0.813 (V-128) -0.391 (U-128)

B=1.164 (Y-16)+2.018 (U-128)

After YUV parameter of each pixel during step S205 extracts the black white image in YUV color spaces, so that it may To utilize this group of conversion formula, by the black white image the YUV color spaces YUV Parameter Switch into the RGB color The color space can of each pixel of the RGB parameters in space, so described black white image and the coloured image keeps one Cause.

Step S207, according to the RGB parameters of the black white image and the RGB parameters of the coloured image, determine described defeated Go out the RGB parameters of image.

Specifically, the terminal obtains the RGB parameters of the black white image and the RGB parameters of the coloured image respectively Afterwards, the RGB parameters of the black white image can be compensated to the RGB parameters to the coloured image, to determine the output image RGB parameters.Here compensation can be that part compensation can also be whole compensation, and specific compensation way can be by institute The quality settings threshold value that the first camera shoots the coloured image come is stated, to the multinomial finger such as definition, brightness, contrast Mark is judged, for example, when many index of the coloured image exceedes the threshold value, represents the quality of the coloured image Hit the target, only need the part compensation of the RGB parameters of 50% black white image;It is more when the coloured image When item index is not less than the threshold value, represent that the quality of the coloured image is not up to desired indicator, can be by the artwork master The RGB parameters of picture all compensate the RGB parameters to the coloured image.For concrete example, it is assumed that the mesh of the black white image The RGB parameters of mark pixel be [66,20,57], the RGB ginsengs with the target pixel points corresponding pixel points of the coloured image Number is [91,52,43], and many index of the coloured image is not less than the threshold value, at this moment just by the black white image All compensation gives the coloured image corresponding to the target pixel points to the RGB parameters [66,20,57] of the target pixel points Pixel RGB parameters [91,52,43], then the RGB parameters of the target pixel points of the output image just for the R, G, the value [157,72,100] after the corresponding superposition of B component.Each pixel of the output image is obtained with by methods described The RGB parameters of point, the final terminal can be according to the preservations of the RGB parameters of each pixel of the output image and showing Output image.

The embodiment of the present invention is by obtaining the coloured image and the shooting of same time second camera that the first camera is shot Black white image, extract the color information parameter of each pixel in the coloured image, extract each in the black white image The half-tone information parameter of pixel, according in the color information parameter of pixel in the coloured image and the black white image The half-tone information parameter of corresponding pixel points, determines the color information parameter of corresponding pixel points in output image, improves low-light level The shooting effect of situation hypograph.

Fig. 3 is a kind of composition structural representation of image processing terminal in the embodiment of the present invention, described image processing terminal Mobile phone, notebook computer, tablet personal computer, digital camera etc. can be included.The terminal in the present embodiment can include as shown in the figure:

Image collection module 310, for the coloured image for obtaining the shooting of the first camera and same time second camera The black white image of shooting, first camera are located at the same side of terminal with the second camera.

Specifically, after the photographing instruction of user is received, it is described to be imaged positioned at first camera of the same side and second Head will find a view taking pictures, and the relative position of first camera and the second camera can be one on the other either One the first from left is right, and both relative distance will can guarantee that in shooting process, first camera and the second camera Viewfinder range, the acquisition parameters such as angle are all consistent substantially.First camera is provided with the colored filter for filtering out infrared ray Light microscopic, when being taken pictures under such low-light level, a small amount of white light can pass through first camera and reach sensor in environment, make institute State the first camera and photograph coloured image by focusing on white light;The second camera is provided with the infrared filtering for filtering out white light Mirror, because infrared ray is not reduced during low-light level, infrared ray reaches sensor through the second camera, makes described second Camera photographs the black white image for being filtered white light.Afterwards, described image acquisition module 310 obtains first camera The coloured image of shooting and the black white image of second camera shooting, for further extracting the parameter of pixel.

Colouring information extraction module 320, for extracting the color information parameter of each pixel in the coloured image.

Specifically, the coloured image is made up of a number of pixel, each pixel all includes colouring information Parameter, the colouring information extraction module 320 are exactly to preserve and go back by extracting the color information parameter of each pixel The former coloured image.It should be noted that the color information parameter of coloured image described here is RGB color RGB parameters, wherein R, G and B are color space component of the coloured image in RGB color, represent respectively it is red, green, Primary colors light numerical value shared in each pixel.Different R, G and B numerical value can represent different colourity, therefore logical Cross and extract the RGB parameters, the colouring information of each pixel in the coloured image can be obtained.

Half-tone information extraction module 330, for extracting the half-tone information parameter of each pixel in the black white image.

Specifically, the black white image is made up of a number of pixel, each pixel all includes half-tone information Parameter, the half-tone information extraction module 330 are exactly to preserve and go back by extracting the half-tone information parameter of each pixel The former black white image.It should be noted that the half-tone information parameter of black white image described here is YUV color spaces YUV parameters, wherein Y, U and V are color space component of the black white image in YUV color spaces, represent each picture respectively The luminance component Y and chromatic component U, V of vegetarian refreshments, wherein chromatic component can describe tone and saturation degree.If only Y-signal point Amount is without U, V component, then the image so represented is exactly black and white gray level image.Therefore, can by extracting the YUV parameters To obtain the half-tone information of each pixel in the black white image.Further, registration module 360 can be to the cromogram Picture and the black white image carry out registration, therefore are directed to the pixel that same photographic subjects position collects in the coloured image One-to-one relation be present when being gathered with the pixel collected in the black white image in point.

Output image module 340, for according to the color information parameter of pixel in the coloured image and described black The half-tone information parameter of corresponding pixel points in white image, determine the color information parameter of corresponding pixel points in output image.

Specifically, the coloured image extracted according to colouring information extraction module 320 and half-tone information extraction module 330 The half-tone information parameter of corresponding pixel points in the color information parameter of middle pixel and the black white image, can synthesize to obtain The color information parameter of the corresponding pixel points of the output image, so as to which the can of output image module 340 is according to The color information parameter of the corresponding pixel points of output image preserves, reduces and presented the output image.The black white image The half-tone information parameter (luminance component Y) of each pixel included than the coloured image is more accurate, and the coloured image ratio The color information parameter (rgb space component) for each pixel that the black white image includes is more accurate, described after synthesis Output image quality can be obtained by improvement.

Further, the output image module 340 also includes:Parameter conversion unit 341 and parameter conversion unit 341, As described in Figure 4.

Parameter conversion unit 341, for by the black white image the YUV color spaces YUV Parameter Switch into institute State the RGB parameters of RGB color.

Specifically, the conversion formula of the YUV parameters and the RGB parameters is as follows:

R=1.164 (Y-16)+1.596 (V-128)

G=1.164 (Y-16) -0.813 (V-128) -0.391 (U-128)

B=1.164 (Y-16)+2.018 (U-128)

The YUV of each pixel in half-tone information extraction module 330 extracts the black white image in YUV color spaces After parameter, the can of parameter conversion unit 341 utilizes this group of conversion formula, by the black white image in the YUV color spaces YUV Parameter Switch into the RGB parameters of the RGB color, each picture of so described black white image and the coloured image The color space can of vegetarian refreshments is consistent.

Parameter determination unit 342, for the RGB parameters and the RGB parameters of the coloured image according to the black white image, Determine the RGB parameters of the output image.

Specifically, the colouring information extraction module 320 and the half-tone information extraction module 330 obtain respectively it is described black After white the RGB parameters of image and the RGB parameters of the coloured image, the parameter determination unit 342 can be by the artwork master The RGB parameters of picture compensate the RGB parameters to the coloured image, to determine the RGB parameters of the output image.Here compensation Can be that part compensation can also be whole compensation, specific compensation way can by first camera is shot come The coloured image quality settings threshold value, many indexs such as definition, brightness, contrast are judged, for example, working as institute When stating many index of coloured image and exceeding the threshold value, the quality hit the target of the coloured image is represented, is only needed The part compensation of the RGB parameters of 50% black white image;When many index of the coloured image is not less than described During threshold value, represent that the quality of the coloured image is not up to desired indicator, the RGB parameters of the black white image can all be mended Repay the RGB parameters to the coloured image.For concrete example, it is assumed that the RGB parameters of the target pixel points of the black white image For [66,20,57], the coloured image is [91,52,43] with the RGB parameters of the target pixel points corresponding pixel points, and The many index of the coloured image is not less than the threshold value, at this moment just by the target pixel points of the black white image RGB parameters [66,20,57] all compensate the RGB parameters with the target pixel points corresponding pixel points to the coloured image [91,52,43], then the RGB parameters of the target pixel points of the output image are just the R, G, after the corresponding superposition of B component Value [157,72,100].The RGB parameters of each pixel of the output image, final institute are obtained with by methods described The output figure can be preserved and show according to the RGB parameters of each pixel of the output image by stating output image module 340 Picture.

Flash module 350, for shooting the cromogram by first camera and the second camera respectively Flash lamp is opened when picture and the black white image and irradiates fill-in light to shooting direction, the fill-in light includes white light and infrared light.

It is specific optional, when the brightness value of terminal induction to environment is less than default luminance threshold, can pass through respectively Flash module 350 is opened when shooting the coloured image and the black white image to first camera and the second camera Open flash lamp and irradiate fill-in light to shooting direction, the fill-in light includes white light and infrared ray.Due to the presence of optical filtering, two kinds Light will not produce mutually interference to the coloured image of shooting and the black white image, therefore white light may only be to the first shooting Head light filling, infrared ray may only give second camera light filling, to improve the brightness of shooting environmental.

Registration module 360, for carrying out image registration to the coloured image and the black white image, to determine to be directed to The corresponding relation of pixel of the same photographic subjects position in the coloured image and the pixel of the black white image.

The registration module 360 includes:Displacement difference determining unit 361 and compensating unit 362, as described in Figure 5.

Displacement difference determining unit 361, for determining the displacement difference vector between the coloured image and the black white image.

Specifically, due to certain distance, the institute of the first camera shooting between the first camera and second camera be present The black white image for stating coloured image and second camera shooting will have certain skew, it is therefore desirable to the colour Image and the black white image carry out image registration.In specific implementation, the displacement difference determining unit 361 is by detecting two figures The similar features point of picture, extract at least one set of fixed reference feature point pair of the coloured image and the black white image;According to described Fixed reference feature point determines the coloured image and institute to the reference coordinate on the coloured image and the black white image respectively State the coordinate mapping relations of black white image;Then the mapping relations are converted into corresponding displacement difference vector.The displacement Difference vector have recorded the coloured image and the black white image spatially differs apart from size and correspondence direction, be flat Move important parameter during compensation.For simplest example, as shown in fig. 6, in plane X-Y coordinate, the cromogram One group of fixed reference feature point of picture and the black white image is (1,1) and (2,2) to coordinate, then it is X to obtain its mapping relations2= X1+ 1, Y2=Y1+ 1, then obtaining displacement difference vector as depicted according to the mapping relations.

Compensating unit 362, for according to the displacement difference vector, being translated to institute's coloured image and the black white image Compensation.

Specifically, after determining the displacement difference vector, the can of compensating unit 362 refers to according to the displacement difference vector To direction with apart from size, translation compensation is carried out to the coloured image and the black white image, to determine to be directed to same bat Take the photograph the corresponding relation of pixel of the target location in the coloured image and the pixel of the black white image.To the colour The image registration of image and the black white image, can be that figure is carried out to the coloured image by reference of the black white image Image registration is carried out as registration or using the coloured image as with reference to the black white image., can in specific implementation To carry out translation compensation using the black white image as with reference to the coloured image, i.e., described black white image remains stationary as, only flat Move the coloured image;Or in turn, translation compensation can be carried out using the coloured image as with reference to the black white image, I.e. described coloured image remains stationary as, and only translates the black white image;On the other hand, a reference coordinate can also be set, will The black white image and the coloured image are using the reference coordinate as with reference to progress translation compensation, i.e., described black white image and institute Coloured image is stated to the position translation of reference coordinate.Because the above two can reduce time and the difficulty of image procossing, therefore Here the method as translation compensation selected in the above two.

The embodiment of the present invention is by obtaining the coloured image and the shooting of same time second camera that the first camera is shot Black white image, extract the color information parameter of each pixel in the coloured image, extract each in the black white image The half-tone information parameter of pixel, according in the color information parameter of pixel in the coloured image and the black white image The half-tone information parameter of corresponding pixel points, determines the color information parameter of corresponding pixel points in output image, improves low-light level The shooting effect of situation hypograph.

One of ordinary skill in the art will appreciate that realize all or part of flow in above-described embodiment method, being can be with The hardware of correlation is instructed to complete by computer program, described program can be stored in a computer read/write memory medium In, the program is upon execution, it may include such as the flow of the embodiment of above-mentioned each method.Wherein, described storage medium can be magnetic Dish, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random Access Memory, RAM) etc..

Above disclosure is only preferred embodiment of present invention, can not limit the right model of the present invention with this certainly Enclose, therefore the equivalent variations made according to the claims in the present invention, still belong to the scope that the present invention is covered.

Claims (8)

1. a kind of image processing method, it is characterised in that methods described includes:
The coloured image of the first camera shooting and the black white image of same time second camera shooting are obtained, described first takes the photograph As head and the second camera are located at the same side of terminal;
Image registration is carried out to the coloured image and the black white image, to determine for same photographic subjects position in institute State the corresponding relation of the pixel of the pixel and the black white image in coloured image;
Extract the color information parameter of each pixel in the coloured image;
Extract the half-tone information parameter of each pixel in the black white image;
The color information parameter of the coloured image is the RGB parameters of RGB color, and the half-tone information of the black white image is joined Number is the YUV parameters of YUV color spaces;
By the black white image the YUV color spaces YUV Parameter Switch into the RGB color RGB parameters;
According to the quality of the coloured image, by the RGB argument sections compensation of the black white image or all compensate to described The RGB parameters of coloured image, to determine the RGB parameters of output image;
It is described that the coloured image and black white image progress image registration are included:
The similar features point of two images is detected, extracts at least one set of fixed reference feature of the coloured image and the black white image Point pair;
According to the fixed reference feature point to the reference coordinate on the coloured image and the black white image respectively, it is determined that described The coordinate mapping relations of coloured image and the black white image;
The mapping relations are converted into corresponding displacement difference vector;
According to the displacement difference vector, translation compensation is carried out to the coloured image and the black white image.
2. image processing method as claimed in claim 1, it is characterised in that first camera is provided with and filters out infrared ray Colorized optical filtering mirror, the second camera are provided with the infrared filter for filtering out white light.
3. image processing method as claimed in claim 1, it is characterised in that methods described also includes:
Opened when shooting the coloured image and the black white image by first camera and the second camera respectively Open flash lamp and irradiate fill-in light to shooting direction, the fill-in light includes white light and infrared ray.
4. image processing method as claimed in claim 1, it is characterised in that described to the coloured image and the black and white Image, which carries out image registration, to be included:Image registration is carried out using the black white image as with reference to the coloured image, or with described Coloured image is to carry out image registration with reference to the black white image.
5. a kind of image processing terminal, it is characterised in that the terminal includes:
Image collection module, coloured image and same time second camera for obtaining the shooting of the first camera shoot black White image, first camera are located at the same side of terminal with the second camera;
Colouring information extraction module, for extracting the color information parameter of each pixel in the coloured image;
Half-tone information extraction module, for extracting the half-tone information parameter of each pixel in the black white image;
The color information parameter of the coloured image is the RGB parameters of RGB color, and the half-tone information of the black white image is joined Number is the YUV parameters of YUV color spaces;
Output image module, for by the black white image the YUV color spaces YUV Parameter Switch into the RGB face The RGB parameters of the colour space;According to the quality of the coloured image, by the RGB argument sections compensation or complete of the black white image Portion compensates the RGB parameters to the coloured image, to determine the RGB parameters of output image;
Registration module, for carrying out image registration to the coloured image and the black white image, to determine to be directed to same bat Take the photograph the corresponding relation of pixel of the target location in the coloured image and the pixel of the black white image;
The registration module includes:
Displacement difference determining unit, for detecting the similar features point of two images, extract the coloured image and the artwork master At least one set of fixed reference feature point pair of picture;According to the fixed reference feature point to respectively in the coloured image and the black white image On reference coordinate, determine the coordinate mapping relations of the coloured image and the black white image;The mapping relations are changed As corresponding displacement difference vector;
Compensating unit, for according to the displacement difference vector, translation compensation to be carried out to institute's coloured image and the black white image.
6. image processing terminal as claimed in claim 5, it is characterised in that first camera is provided with and filters out infrared ray Colorized optical filtering mirror, the second camera are provided with the infrared filter for filtering out white light.
7. image processing terminal as claimed in claim 5, it is characterised in that the terminal also includes:
Flash module, for shooting the coloured image and described by first camera and the second camera respectively Flash lamp is opened during black white image and irradiates fill-in light to shooting direction, the fill-in light includes white light and infrared light.
8. image processing terminal as claimed in claim 5, it is characterised in that described to the coloured image and the black and white Image, which carries out image registration, to be included:Image registration is carried out using the black white image as with reference to the coloured image, or with described Coloured image is to carry out image registration with reference to the black white image.
CN201510413773.7A 2015-07-14 2015-07-14 A kind of image processing method and terminal CN105578063B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510413773.7A CN105578063B (en) 2015-07-14 2015-07-14 A kind of image processing method and terminal

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510413773.7A CN105578063B (en) 2015-07-14 2015-07-14 A kind of image processing method and terminal

Publications (2)

Publication Number Publication Date
CN105578063A CN105578063A (en) 2016-05-11
CN105578063B true CN105578063B (en) 2018-04-10

Family

ID=55887670

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510413773.7A CN105578063B (en) 2015-07-14 2015-07-14 A kind of image processing method and terminal

Country Status (1)

Country Link
CN (1) CN105578063B (en)

Families Citing this family (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10362205B2 (en) 2016-04-28 2019-07-23 Qualcomm Incorporated Performing intensity equalization with respect to mono and color images
CN106060419B (en) * 2016-06-30 2019-05-17 维沃移动通信有限公司 A kind of photographic method and mobile terminal
CN106101666B (en) * 2016-06-30 2018-09-04 维沃移动通信有限公司 A kind of method and mobile terminal of image color reservation
CN106454290B (en) * 2016-10-12 2019-05-14 成都西纬科技有限公司 A kind of dual camera image processing system and method
CN106412534B (en) * 2016-10-27 2018-09-11 成都西纬科技有限公司 A kind of brightness of image adjusting method and device
CN106550227B (en) * 2016-10-27 2019-02-22 成都西纬科技有限公司 A kind of image saturation method of adjustment and device
EP3531689A4 (en) * 2016-11-03 2019-10-30 Huawei Tech Co Ltd Optical imaging method and apparatus
US20190333186A1 (en) * 2016-12-28 2019-10-31 Huawei Technologies Co., Ltd. Demosaicing method and apparatus
CN107087108A (en) * 2017-05-18 2017-08-22 努比亚技术有限公司 A kind of image processing method and device based on dual camera
CN107493431A (en) * 2017-08-31 2017-12-19 努比亚技术有限公司 A kind of image taking synthetic method, terminal and computer-readable recording medium
CN107566730B (en) * 2017-09-27 2019-10-15 维沃移动通信有限公司 A kind of panoramic picture image pickup method and mobile terminal
CN109120911B (en) * 2018-07-09 2019-11-15 武汉斗鱼网络科技有限公司 A kind of video method for transformation, device, equipment and medium

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103986875A (en) * 2014-05-29 2014-08-13 宇龙计算机通信科技(深圳)有限公司 Image acquiring device, method and terminal and video acquiring method
CN104463112A (en) * 2014-11-27 2015-03-25 深圳市科葩信息技术有限公司 Method and system for carrying out biological recognition through RGB+IR image sensor
CN105049718A (en) * 2015-07-06 2015-11-11 深圳市金立通信设备有限公司 Image processing method and terminal

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103986875A (en) * 2014-05-29 2014-08-13 宇龙计算机通信科技(深圳)有限公司 Image acquiring device, method and terminal and video acquiring method
CN104463112A (en) * 2014-11-27 2015-03-25 深圳市科葩信息技术有限公司 Method and system for carrying out biological recognition through RGB+IR image sensor
CN105049718A (en) * 2015-07-06 2015-11-11 深圳市金立通信设备有限公司 Image processing method and terminal

Also Published As

Publication number Publication date
CN105578063A (en) 2016-05-11

Similar Documents

Publication Publication Date Title
US8983148B2 (en) Color segmentation
CN103069454B (en) Capturing and rendering high dynamic ranges images
TWI277016B (en) Image processing apparatus and method, recording medium and program
Ramanath et al. Color image processing pipeline
ES2726014T3 (en) Enlargement and marking of two-dimensional images
CN103501416B (en) Imaging system
RU2397542C2 (en) Method and device for creating images with high dynamic range from multiple exposures
US9019402B2 (en) Dynamic range extension by combining differently exposed hand-held device-acquired images
US6859565B2 (en) Method and apparatus for the removal of flash artifacts
US9589335B2 (en) Method for dynamic range editing
Tian et al. Colour correction for panoramic imaging
JP2005176230A (en) Image processor and print system
KR101698876B1 (en) Generation of ghost-free high dynamic range images
JP2010045613A (en) Image identifying method and imaging device
TW201215166A (en) Image capture using luminance and chrominance sensors
KR20080038356A (en) Image processing method and apparatus, digital camera, and recording medium recording image processing program
US20060153444A1 (en) Automatic white balancing of colour gain values
US20020105589A1 (en) System and method for lens filter emulation in digital photography
CN105103189B (en) The image denoising of near-infrared guiding
US20050244072A1 (en) Determination of main object on image and improvement of image quality according to main object
US8644559B2 (en) Image processing device and image processing method
Berezhnoy et al. Computer analysis of van Gogh’s complementary colours
US20040156557A1 (en) Device and method for difitizing an object
KR101662846B1 (en) Apparatus and method for generating bokeh in out-of-focus shooting
CN103366352B (en) Apparatus and method for producing the image that background is blurred

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
GR01 Patent grant