CN109191406A - Image processing method, device and equipment - Google Patents
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Abstract
This application discloses a kind of image processing method, device and equipment.The described method includes: obtaining image to be processed；For each pixel of the image to be processed, the adjustment weight of the pixel is calculated according to the original luminance value of the pixel in the pixel and its preset range and the pixel original chrominance；The image to be processed is filtered according to the original chrominance of each pixel, obtains the high fdrequency component and low frequency component of original chrominance in image to be processed；The high fdrequency component of the pixel is adjusted according to the adjustment weight of each pixel；Treated image is obtained according to the low frequency component, high fdrequency component adjusted and original luminance value.The case where this method can be adjusted the high fdrequency component of image chroma component, avoid image fault after adjusting appearance.
Description
Technical field
This application involves technical field of image processing, in particular to a kind of image processing method, device and equipment.
Background technique
Pseudo- coloured silk phenomenon is mainly derived from two aspects, in a first aspect, being the color difference phenomenon in optical imagery；Different waves
There are difference for refractive index of the long light component in lens, cause imaging picture to there is local colour cast in high frequency region, marginal zone and show
As, such as the purple boundary phenomenon at light and shade edge, color spot phenomenon etc..
Second aspect is the color aliasing (color generated during discrete sampling from color image sensor
Aliasing) phenomenon；This color aliasing phenomenon generally occurs within high frequency detail region or strong edge region in the picture, leads to
The methods of conventional image interpolation, recovery is crossed to be difficult to completely eliminate.That is, pseudo- coloured silk phenomenon is primarily present in cromogram
Local high-frequency region as in, these high-frequency regions include the regions such as strong edge, strong texture.
Pseudo- coloured silk phenomenon is a kind of problem generally existing in color image imaging, and this phenomenon can be to the vision of color image
Effect causes more serious negative effect.
It is in the prior art to go pseudo- color method, it is that the chromatic value of image the processing such as be directly integrally filtered to, decayed, this
In kind processing method, since the area Fei Weicai also has very, maximum probability is accidentally handled, this processing method will lead to color image
Color distortion.
Summary of the invention
In order to overcome above-mentioned deficiency in the prior art, the application's is designed to provide a kind of image processing method, institute
The method of stating includes:
Obtain image to be processed；
For each pixel of the image to be processed, according to the original of the pixel in the pixel and its preset range
The original chrominance of beginning brightness value and the pixel calculates the adjustment weight of the pixel；
The image to be processed is filtered according to the original chrominance of each pixel, obtains image to be processed
The high fdrequency component and low frequency component of middle original chrominance；
The high fdrequency component of the image to be processed is adjusted according to the adjustment weight of each pixel；
Treated image is obtained according to the low frequency component, high fdrequency component adjusted and original luminance value.
Optionally, each pixel for the image to be processed, according in the pixel and its preset range
The original luminance value of pixel and the original chrominance of pixel the step of calculating the adjustment weight of the pixel include:
Calculate the luminance difference of original luminance value between other pixels in the pixel and the pixel preset range
Parameter；
The saturation degree of the pixel is calculated according to the original chrominance of the pixel；
According to the adjustment weight of pixel described in the luminance difference parameter and the saturation computation.
Optionally, the adjustment weight of the pixel according to the luminance difference parameter and the saturation computation
The step of include:
The first weight of the pixel is calculated according to the luminance difference parameter of the pixel；
According to the second weight of the saturation computation pixel of the pixel；
The adjustment weight is obtained according to first weight and second weight.
Optionally, the luminance difference parameter according to the pixel calculates the first weight of the pixel
Step includes,
According to the luminance difference parameter and preset first luminance difference threshold value and preset second luminance difference threshold
The relationship of value calculates first weight.
Optionally, the step of the second weight of pixel described in the saturation computation according to the pixel is wrapped
It includes,
Second weight is calculated according to the relationship between the saturation degree and preset saturation degree threshold value.
Optionally, original luminance value between the calculating pixel and other interior pixels of the pixel preset range
Luminance difference parameter the step of include:
Calculate the original luminance value of each pixel in the original luminance value and the pixel preset range of the pixel
Mean square error or average absolute value error；
The mean square error or the average absolute value error are set by the luminance difference parameter.
Optionally, before the acquisition image to be processed the step of, the method also includes,
The image to be processed is transformed into luminance component and the mutually independent color space of chromatic component.
Optionally, the method also includes treated that image is transformed into preset color space by described, obtains target
Image.
The another object of the application is to provide a kind of image processing apparatus, and described image processing unit includes obtaining mould
Block, weight calculation module, color processing module, adjustment module and image generation module:
The acquisition module is for obtaining image to be processed；
The weight calculation module is used for each pixel for the image to be processed, according to the pixel and its in advance
If the original luminance value of the pixel in range and the original chrominance of the pixel calculate the adjustment weight of the pixel；
The color processing module obtains to be processed for being filtered according to original chrominance to the image to be processed
The high fdrequency component and low frequency component of original chrominance in image；
The adjustment module is used to adjust the high frequency of the image to be processed according to the adjustment weight of each pixel
Component；
Described image generation module according to the low frequency component, high fdrequency component adjusted and original luminance value for obtaining
Treated image.
The another object of the application is to provide a kind of image processing equipment, described image processing equipment include processor and
Memory, the memory are stored with machine executable instruction and promote institute when the processor calls or executes described instruction
State image processing equipment:
Obtain image to be processed；
For each pixel of the image to be processed, according to the original of the pixel in the pixel and its preset range
The original chrominance of beginning brightness value and the pixel calculates the adjustment weight of the pixel；
The image to be processed is filtered according to the original chrominance of each pixel, obtains image to be processed
The high fdrequency component and low frequency component of middle original chrominance；
The high fdrequency component of the image to be processed is adjusted according to the adjustment weight of each pixel；
Treated image is obtained according to the low frequency component, high fdrequency component adjusted and original luminance value.
In terms of existing technologies, the application has the advantages that
In the embodiment of the present application, each pixel is calculated by the original chrominance and original luminance value of image to be processed
Adjustment weight, calculate the low frequency component and high fdrequency component of image to be processed, according to adjustment weight high fdrequency component is adjusted
It is whole, to obtain treated image according to low frequency component, high fdrequency component adjusted and original luminance value.The present embodiment
In, high fdrequency component is extracted from the original chrominance of image to be processed, when handling image, only high fdrequency component is carried out
Adjustment, can be avoided color distortion.
Detailed description of the invention
Technical solution in ord to more clearly illustrate embodiments of the present application, below will be to needed in the embodiment attached
Figure is briefly described, it should be understood that the following drawings illustrates only some embodiments of the application, therefore is not construed as pair
The restriction of range for those of ordinary skill in the art without creative efforts, can also be according to this
A little attached drawings obtain other relevant attached drawings.
Fig. 1 is the structural schematic diagram of image processing equipment provided by the embodiments of the present application；
Fig. 2 is the flow diagram of image processing method provided by the embodiments of the present application；
Fig. 3 is the schematic diagram of calculation flow one of adjustment weight provided by the embodiments of the present application；
Fig. 4 is the schematic diagram of calculation flow two of adjustment weight provided by the embodiments of the present application；
Fig. 5 is the structural block diagram of image processing apparatus provided by the embodiments of the present application.
Icon: 110- memory；120- processor；130- image capture device；210- obtains module；220- weight calculation
Module；230- color processing module；240- adjusts module；250- image generation module.
Specific embodiment
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application
In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is
Some embodiments of the present application, instead of all the embodiments.The application being usually described and illustrated herein in the accompanying drawings is implemented
The component of example can be arranged and be designed with a variety of different configurations.
Therefore, the detailed description of the embodiments herein provided in the accompanying drawings is not intended to limit below claimed
Scope of the present application, but be merely representative of the selected embodiment of the application.Based on the embodiment in the application, this field is common
Technical staff's every other embodiment obtained without creative efforts belongs to the model of the application protection
It encloses.
It should also be noted that similar label and letter indicate similar terms in following attached drawing, therefore, once a certain Xiang Yi
It is defined in a attached drawing, does not then need that it is further defined and explained in subsequent attached drawing.
In addition, term " first ", " second ", " third " etc. are only used for distinguishing description, it is not understood to indicate or imply
Relative importance.
In the description of the present application, it is also necessary to which explanation is unless specifically defined or limited otherwise, term " setting ",
" installation ", " connected ", " connection " shall be understood in a broad sense, for example, it may be fixedly connected, may be a detachable connection or one
Connect to body；It can be mechanical connection, be also possible to be electrically connected；It can be directly connected, it can also be indirect by intermediary
It is connected, can be the connection inside two elements.For the ordinary skill in the art, on being understood with concrete condition
State the concrete meaning of term in this application.
Fig. 1 is please referred to, Fig. 1 is that the embodiment of the present application provides the structural schematic diagram of image processing equipment.Described image processing
Equipment may include processor 120 and memory 110, and the processor 120 and the memory 110 are electrically connected to realize number
According to interaction, for example, can be realized by one or more communication bus or signal wire between processor 120 and memory 110
It is electrically connected.
In the image processing equipment of the present embodiment, the memory 110 be may be, but not limited to, random access memory
Device (Random Access Memory, RAM), read-only memory (Read Only Memory, ROM), may be programmed read-only storage
Device (Programmable Read-Only Memory, PROM), erasable read-only memory (Erasable Programmable
Read-Only Memory, EPROM), electricallyerasable ROM (EEROM) (Electric Erasable Programmable
Read-Only Memory, EEPROM) etc..Wherein, for storing executable instruction, the processor 120 is connecing memory 110
After receiving executable instruction, the instruction is executed.
In the present embodiment, the memory 110 or the processor 120 can also be with external image capture devices
130 are electrically connected, for carrying out data interaction between described image acquisition equipment 130.
Referring to figure 2., Fig. 2 is the stream that can be applied to a kind of image processing method of image processing equipment shown in FIG. 1
Cheng Tu below will be described in detail each step that the method includes.A kind of image processing method, the method packet
It includes:
Step S110 obtains image to be processed.
In the present embodiment, it needs to adjust image to be processed according to the chromatic component and luminance component of image to be processed
It is whole, it is therefore desirable to which that it is bright not to be that image to be processed that chromatic component and the mutually independent color space of luminance component indicate is transformed into
Spending component and the mutually independent color space of chromatic component indicates.
Such as when described image is RGB image, i.e., RGB image is transformed into mutually only with luminance component and chromatic component
The vertical color space indicated, obtains the image to be processed.For example, image to be transformed into the side in the space YIQ from rgb color space
Method are as follows:
Wherein Y represents luminance component, and I, Q respectively represent I chromatic component, Q chromatic component.R, G, B respectively represent it is red, green,
The chromatic component of blue three colors.
The image to be processed can be passed through into brightness and the separable color space of coloration, i.e. brightness through the above steps
The color space that component, chromatic component indicate independently of each other indicates.Brightness and the separable color space of coloration can be, but not
It is limited to the color space of brightness and chrominance separation that YUV, YIQ, Lab, HSL or HSV etc. have standard to define.Brightness and coloration can
The color space that isolated color space is also possible to customized luminance component, chromatic component indicates independently of each other.This implementation
In example, luminance component and chromatic component are not that the color space indicated independently of each other may be, but not limited to, rgb space.
Step S120, for each pixel of the image to be processed, according in the pixel and its preset range
The original chrominance of the original luminance value of pixel and the pixel calculates the adjustment weight of the pixel.
In the present embodiment, the original luminance value and original chrominance of each pixel of available image to be processed,
Then according to the original luminance value of other pixels in the original luminance value of the pixel, the pixel preset range and should
The original chrominance of pixel calculates the adjustment weight of the pixel.The original luminance value of each pixel, that is, image to be processed exists
When being indicated using chromatic component and the mutually independent color space of luminance component, the luminance component of the pixel.Each pixel
Original chrominance, that is, image to be processed when being indicated using chromatic component and the mutually independent color space of luminance component, the picture
The chromatic component of vegetarian refreshments.
Referring to figure 3., specifically, step S120 may include step S121 to step S123:
Step S121 calculates original luminance value between the pixel and other interior pixels of the pixel preset range
Luminance difference parameter.
Optionally, original luminance value between the calculating pixel and other interior pixels of the pixel preset range
Luminance difference parameter the step of include:
Calculate the original luminance value of each pixel in the original luminance value and the pixel preset range of the pixel
Mean square error or average absolute value error.
The mean square error or the average absolute value error are set by the luminance difference parameter.
It, can will be in the original luminance value of the pixel and the pixel preset range that is, in the present embodiment
The mean square error of the original luminance value of each pixel is as luminance difference parameter.
The original luminance value of the pixel in the pixel preset range original luminance value of each pixel it is equal
The calculation formula of square error are as follows:
Wherein, (x, y) represents pixel position, and D (x, y) represents the luminance difference parameter of (x, y) point, Ω (x, y)
A certain size the neighborhood centered on pixel (x, y) is represented, i.e. pixel (x, y) preset range, N is represented in the neighborhood
Number of pixels,Represent average value of the Y-component in neighborhood Ω.
In the present embodiment, the difference of original luminance value between the pixel and other interior pixels of the pixel preset range
The luminance component and other pixels in the pixel preset range that the calculation method of different parameter is also possible to the pixel
The average absolute value error of luminance component.
The original luminance value of the pixel in the pixel preset range original luminance value of each pixel it is equal
The calculation formula of square error:
In the present embodiment, the luminance difference parameter can also original luminance value, original colorimetric according to the pixel
The original luminance value of other pixels, original chrominance are calculated in value and the pixel preset range.
Illustrate the method based on mean square error and based on average absolute value error below in conjunction with specific example:
Original luminance value between other pixels in the pixel and the pixel preset range based on mean square error
Luminance difference parameter calculation method are as follows: calculate the pixel luminance component and the pixel preset range in other pictures
The mean square error A1 of the luminance component of vegetarian refreshments.The chromatic component and other pictures in the pixel preset range for calculating the pixel
The mean square error A2 of the chromatic component of vegetarian refreshments.The sum of A1 and A2 are set by luminance difference parameter.
It is original between other pixels in the pixel and the pixel preset range based on average absolute value error
The calculation method of the luminance difference parameter of brightness value are as follows: calculate in luminance component and pixel preset range of the pixel
The average absolute value error B1 of the luminance component of other pixels.The chromatic component and the pixel for calculating the pixel preset model
The average absolute value error B2 of the chromatic component of other pixels in enclosing.The sum of B1 and B2 are set by luminance difference parameter.
Step S122 calculates the saturation degree of the pixel according to the original chrominance of the pixel.
In the present embodiment, the saturation degree can calculate according to the following formula:
Step S123, according to the adjustment weight of pixel described in the luminance difference parameter and the saturation computation.
Referring to figure 4., specifically, the step S123 of the present embodiment may include step S1231 to step S1233:
Step S1231 calculates the first weight of the pixel according to the luminance difference parameter of the pixel.
Optionally, the luminance difference parameter according to the pixel calculates the first weight of the pixel
Step includes,
According to the luminance difference parameter and preset first luminance difference threshold value and preset second luminance difference threshold
The relationship of value calculates first weight.
Wherein, W1Indicate the first weight, DTh1Indicate the first luminance difference threshold value, DTh2Indicate the second luminance difference threshold value,
DTh1With DTh2Meet DTh2>DTh1,1, MINIMUM WEIGHT weight values W1 minMeet 0≤W1 min≤ 1.Threshold parameter the first luminance difference threshold value
DTh1, the second luminance difference threshold value DTh2With MINIMUM WEIGHT weight values W1 minValue need to according to real image effect determine.Schemed with 8bit
As for, W is taken respectively1 min=0.2, DTh1=15, DTh2=100.
Step S1232, according to the second weight of the saturation computation pixel of the pixel.
Optionally, the step of the second weight of pixel described in the saturation computation according to the pixel is wrapped
It includes,
Second weight is calculated according to the relationship between the saturation degree and preset saturation degree threshold value.
Wherein, W2Indicate the second weight, MINIMUM WEIGHT weight values W2 minMeet 0≤W2 min≤ 1.Threshold parameter SThWith MINIMUM WEIGHT
Weight values W2 minValue rule of thumb formula is calculated, by taking 8bit image as an example, take W respectively2 min=0.5, STh=80.
Step S1233 obtains the adjustment weight according to first weight and second weight.
Optionally, first weight and second multiplied by weight are obtained into the adjustment weight in the present embodiment,
That is using the result of first weight and second multiplied by weight as adjustment weight.At this point, the calculating of adjustment weight
Formula are as follows:
Wc=W1·W2
Wherein, weight W is adjustedcMeet 0≤Wc≤ 1.
Optionally, in the present embodiment, the sum of first weight and second weight is averaging, the adjustment is obtained
Weight, that is to say, that using the average value of the sum of first weight and second weight as adjustment weight.
Step S130 is filtered the image to be processed according to the original chrominance of each pixel, obtains
The high fdrequency component and low frequency component of the original chrominance of image to be processed.
This step is used to carry out layered shaping to image, to obtain the low frequency component and high fdrequency component of image to be processed.
In the present embodiment, to image carry out layered shaping when, can to image to be processed carry out low-pass filtering, obtain to
Then the low frequency component for handling image removes high fdrequency component in the original chrominance components of image to be processed, obtain high fdrequency component.
High-pass filtering can also be carried out to image to be processed, the high fdrequency component of image to be processed be obtained, then in the original of image to be processed
High fdrequency component is removed in beginning chromatic component, obtains low frequency component.Wherein, each pixel corresponding chromatic value in high fdrequency component
For the high frequency color angle value of the pixel, each pixel corresponding chromatic value in low frequency component is the low frequency coloration of the pixel
Value.
In the present embodiment, the filter that step S130 is used to be filtered can be such as mean filter, Gauss low frequency filter
The low-pass filters such as wave, wavelet filtering median filtering, bilateral filtering, Steerable filter, are also possible to the high-pass filterings such as Laplce
Device.Below by taking mean filter as an example, image layered implementation process is introduced:
Firstly, defining the mean filter template mask of a 5*5 size:
Secondly, being filtered in conjunction with above-mentioned 5*5 template and the chromatic component of image to be processed to image, to include I color
It spends for the space YIQ of component, Q chromatic component, in the space YIQ, chromatic component includes I chromatic component, Q chromatic component.Pass through
The result of the low frequency chromatic value of each pixel can be calculated in following formula:
Wherein, I, Q respectively indicate the size of I chromatic component in the original chrominance of pixel, the size of Q chromatic component,Represent convolution algorithm.Ibase、QbaseThe low frequency of the low frequency component of I chromatic component, Q chromatic component that are obtained after respectively filtering
Component.
After obtaining low frequency component, the pixel is calculated according to the original chrominance components of each pixel in image to be processed
High fdrequency component, in other words, as removing low frequency component in the original chrominance components of image to be processed.
Specifically, when low frequency component in the original chrominance components for removing image to be processed, each picture can be directed to
The high frequency color angle value of the calculating of the vegetarian refreshments pixel, the calculation formula of the high frequency color angle value of a pixel are as follows:
Idet=I-Ibase
Qdet=Q-Qbase
IdetFor removal low frequency component after the pixel I chromatic component size, the size of Q chromatic component, that is,
It says, IdetI chromatic component for the original chrominance of the pixel subtracts IbaseValue afterwards, QdetIt is the original chrominance of pixel
Subtract the Q of the pixelbaseValue afterwards.In this way, can obtain by each pixel after removal low frequency component in image to be processed
The high fdrequency component that corresponding chromatic component (i.e. high frequency color angle value, including I chromatic component, Q chromatic component) is constituted.
Step S140 adjusts the high fdrequency component of the image to be processed according to the adjustment weight of each pixel.
The present embodiment can obtain high fdrequency component adjusted.
Step S150, according to the acquisition of the low frequency component, high fdrequency component adjusted and original luminance value, treated
Image.
In this step, according to the adjustment weight W of step S120 acquisitioncAdjust chromatic component high fdrequency component, and according to
Low frequency component, high fdrequency component adjusted and the original luminance value of processing image are rebuild to obtain the image after Pseudo-color technology.
By taking the space YIQ used in the present embodiment as an example: before and after the processing, luminance component image remains unchanged, the low frequency point of chromatic component
Amount also remains unchanged, and chromatic component high fdrequency component presses adjustment weight WcDo local attenuation processing.
By taking a pixel as an example, the original luminance value Y of pixel is remained unchanged, the corresponding chromatic component of low frequency component
Ibase、QbaseAlso it remains unchanged, the corresponding chromatic component I of high fdrequency componentdet、QdetBy adjustment weight WcLocal attenuation processing is done, most
Treated image Y'I'Q' eventually are as follows:
Y'=Y
I'=Ibase+Idet*Wc
Q'=Qbase+Qdet*Wc
Wherein, Y' is the luminance component of pixel in treated image, the I coloration point in I' is that treated image
Amount, Q' are the Q chromatic component in treated image.
Optionally, the method also includes treated that image is transformed into preset color space by described, obtains target
Image.
This step is in the actual process, and by treated, image is transformed into the color space of needs is indicated.
For example, can image be transformed into the color space indicated with rgb space, specific method for transformation by treated are as follows:
The another object of the application is to provide a kind of image processing apparatus, referring to figure 5., described image processing unit packet
It includes and obtains module 210, weight calculation module 220, color processing module 230, adjustment module 240 and image generation module 250,
Described image processing unit include one can be stored in the memory 110 or be solidificated in the form of software or firmware it is described
Software function module in the operating system (operating system, OS) of image processing equipment.
The acquisition module 210 is for obtaining image to be processed.
Acquisition module 210 in the present embodiment is for executing step S110 shown in Fig. 2, about the acquisition module 210
Specific descriptions can refer to the description to the step S110.
The weight calculation module 220 is used for each pixel for the image to be processed, according to the pixel and
The original luminance value of pixel in its preset range and the original chrominance of the pixel calculate the adjustment power of the pixel
Weight.
Weight calculation module 220 in the present embodiment is for executing step S120 shown in Fig. 2, about the acquisition module
210 specific descriptions can refer to the description to the step S120.
The color processing module 230 for being filtered according to original chrominance to the image to be processed, obtain to
Handle the high fdrequency component and low frequency component of original chrominance in image；
Color processing module 230 in the present embodiment is for executing step S130 shown in Fig. 2, about the acquisition module
210 specific descriptions can refer to the description to the step S130.
The adjustment module 240 is used to adjust the height of the image to be processed according to the adjustment weight of each pixel
Frequency component.
Adjustment module 240 in the present embodiment is for executing step S140 shown in Fig. 2, about the acquisition module 210
Specific descriptions can refer to the description to the step S140.
Described image generation module 250 is for the low frequency component according to image to be processed, high fdrequency component adjusted
And original luminance value obtains treated image.
Image generation module 250 in the present embodiment is for executing step S150 shown in Fig. 2, about the acquisition module
210 specific descriptions can refer to the description to the step S150.
In conclusion the embodiment of the present application sheet is calculated often by the original chrominance and original luminance value of image to be processed
The adjustment weight of a pixel calculates the low frequency component and high fdrequency component of image to be processed, according to adjustment weight to be processed
The high fdrequency component of image is adjusted, thus according to low frequency component, high fdrequency component adjusted and original brightness before adjustment
Value obtains treated image.In the present embodiment, high fdrequency component is extracted, when handling image, only to high fdrequency component into
Row adjustment, can image avoid color distortion.
In embodiment provided herein, it should be understood that disclosed device and method, it can also be by other
Mode realize.The apparatus embodiments described above are merely exemplary, for example, the flow chart and block diagram in attached drawing are shown
According to device, the architectural framework in the cards of method and computer program product, function of multiple embodiments of the application
And operation.In this regard, each box in flowchart or block diagram can represent one of a module, section or code
Point, a part of the module, section or code includes one or more for implementing the specified logical function executable
Instruction.It should also be noted that function marked in the box can also be attached to be different from some implementations as replacement
The sequence marked in figure occurs.For example, two continuous boxes can actually be basically executed in parallel, they sometimes may be used
To execute in the opposite order, this depends on the function involved.It is also noted that each of block diagram and or flow chart
The combination of box in box and block diagram and or flow chart can be based on the defined function of execution or the dedicated of movement
The system of hardware is realized, or can be realized using a combination of dedicated hardware and computer instructions.
In addition, each functional module in each embodiment of the application can integrate one independent portion of formation together
Point, it is also possible to modules individualism, an independent part can also be integrated to form with two or more modules.
It, can be with if the function is realized and when sold or used as an independent product in the form of software function module
It is stored in a computer readable storage medium.Based on this understanding, the technical solution of the application is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) execute each embodiment the method for the application all or part of the steps.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
The above, the only specific embodiment of the application, but the protection scope of the application is not limited thereto, it is any
Those familiar with the art within the technical scope of the present application, can easily think of the change or the replacement, and should all contain
Lid is within the scope of protection of this application.Therefore, the protection scope of the application shall be subject to the protection scope of the claim.
Claims (10)
1. a kind of image processing method, which is characterized in that the described method includes:
Obtain image to be processed；
For each pixel of the image to be processed, according to the original bright of the pixel in the pixel and its preset range
Angle value and the pixel original chrominance calculate the adjustment weight of the pixel；
The image to be processed is filtered according to the original chrominance of each pixel, obtains image Central Plains to be processed
The high fdrequency component and low frequency component of beginning chromatic value；
The high fdrequency component of the image to be processed is adjusted according to the adjustment weight of each pixel；
Treated image is obtained according to the low frequency component, high fdrequency component adjusted and original luminance value.
2. image processing method according to claim 1, which is characterized in that described for each of described image to be processed
Pixel calculates the pixel according to the original luminance value of the pixel in the pixel and its preset range and original chrominance
Point adjustment weight the step of include:
Calculate the luminance difference parameter of original luminance value between other pixels in the pixel and the pixel preset range；
The saturation degree of the pixel is calculated according to the original chrominance of the pixel；
According to the adjustment weight of pixel described in the luminance difference parameter and the saturation computation.
3. image processing method according to claim 2, which is characterized in that it is described according to the luminance difference parameter and
The step of adjustment weight of pixel described in the saturation computation includes:
The first weight of the pixel is calculated according to the luminance difference parameter of the pixel；
According to the second weight of the saturation computation pixel of the pixel；
The adjustment weight is obtained according to first weight and second weight.
4. image processing method according to claim 3, which is characterized in that the brightness according to the pixel
Difference parameter calculates the step of the first weight of the pixel and includes,
According to the luminance difference parameter and preset first luminance difference threshold value and preset second luminance difference threshold value
Relationship calculates first weight.
5. image processing method according to claim 3, which is characterized in that the saturation according to the pixel
Degree calculates the step of the second weight of the pixel and includes,
Second weight is calculated according to the relationship between the saturation degree and preset saturation degree threshold value.
6. according to the described in any item image processing methods of claim 2-5, which is characterized in that it is described calculate the pixel with
Include: the step of the luminance difference parameter of original luminance value between other pixels in the pixel preset range
Calculate the original luminance value of the pixel in the pixel preset range original luminance value of each pixel it is equal
Square error or average absolute value error；
The mean square error or the average absolute value error are set by the luminance difference parameter.
7. image processing method according to claim 1, which is characterized in that the acquisition image to be processed the step of
Before, the method also includes,
The image to be processed is transformed into luminance component and the mutually independent color space of chromatic component.
8. image processing method according to claim 5, which is characterized in that the method also includes after the processing
Image be transformed into preset color space, obtain target image.
9. a kind of image processing apparatus, which is characterized in that described image processing unit include obtain module, weight calculation module,
Color processing module, adjustment module and image generation module:
The acquisition module is for obtaining image to be processed；
The weight calculation module is used for each pixel for the image to be processed, according to the pixel and its default model
The original luminance value of pixel and the original chrominance of the pixel in enclosing calculate the adjustment weight of the pixel；
The color processing module obtains image to be processed for being filtered according to original chrominance to the image to be processed
The high fdrequency component and low frequency component of middle original chrominance；
The adjustment module is used to adjust the high fdrequency component to be processed according to the adjustment weight of each pixel；
Described image generation module is used at according to the low frequency component, high fdrequency component adjusted and original luminance value acquisition
Image after reason.
10. a kind of image processing equipment, which is characterized in that described image processing equipment includes processor and memory, described to deposit
Reservoir is stored with the executable instruction of machine, when the processor calls or executes described instruction, described image processing is promoted to set
It is standby:
Obtain image to be processed；
For each pixel of the image to be processed, according to the original bright of the pixel in the pixel and its preset range
Angle value and the original chrominance of the pixel calculate the adjustment weight of the pixel；
The image to be processed is filtered according to the original chrominance of each pixel, obtains image Central Plains to be processed
The high fdrequency component and low frequency component of beginning chromatic value；
The high fdrequency component of the image to be processed is adjusted according to the adjustment weight of each pixel；
Treated image is obtained according to the low frequency component, high fdrequency component adjusted and original luminance value.
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