CN105100762B - A kind of image processing method and image processing apparatus - Google Patents
A kind of image processing method and image processing apparatus Download PDFInfo
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- CN105100762B CN105100762B CN201510424446.1A CN201510424446A CN105100762B CN 105100762 B CN105100762 B CN 105100762B CN 201510424446 A CN201510424446 A CN 201510424446A CN 105100762 B CN105100762 B CN 105100762B
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Abstract
The embodiment of the invention discloses a kind of image processing method and image processing apparatus, for accelerating to perform speed, the power consumption of image processing apparatus is reduced, it may also be used for the integrated circuit without divider or without FPU.Present invention method includes：Obtain the red component, green component, blue component of pending pixel；Receive colorimetric parameter and saturation parameters；According to colorimetric parameter and the first preset value computation interval variable and declinate variable；Computing, which is carried out, according to red component, green component, blue component, the first preset value, interval variable, declinate variable and saturation parameters obtains target interval variable and provisional parameter；Shifting processing is carried out to provisional parameter and obtains target component；Target red component, target green component and target blue component are determined according to target interval variable and target component, the color shown according to target red component, target green component and target blue component to pending pixel is updated.
Description
Technical field
The present embodiments relate to image processing field, more particularly to a kind of image processing method and image processing apparatus.
Background technology
In image processing field, RGB (RGB) color model is a kind of color standard of industrial quarters, by RGB
The change of three passage colors and their superpositions from each other form a variety of colors.In rgb color pattern, RGB moulds
Type distributes a value for the RGB component of each pixel in image, when the memory space of pixel component is 8bits, pixel
The number range of component is 0~255 (0~28), for example：As the R of pixel, G, B component is 0, and pixel is black；Work as picture
The R of vegetarian refreshments, G, B component are 255, and pixel is white；When the R component of colour vegetarian refreshments is that 255, G components are 0, B component is 0,
Pixel is pure red.In RGB image, different colors can be formed according to the various combination of RGB component numerical value.
Hsv color model is a kind of user oriented color model, wherein, " H " in HSV represents tone (Hue), " S "
Saturation degree (Saturation) is represented, " V " represents brightness (Value), in hsv color model, can be by H, S, V tri-
The change of color attribute adjusts the color of pixel.Tone H represents the position of color information, i.e. residing spectral color, should
Parameter is represented with angular metric, and all tones can be represented from 0 degree to 360 degree；Saturation degree S represents the purity and face of selected color
The ratio between maximum purity of color, span is from 0 to 1, as S=0, only gray scale；Brightness V represents the light levels of color, model
Enclose from 0 to 255.
The color adjustment mode of prior art approximately as：The color of pending pixel is changed by rgb color space
To HSV color spaces, the tone of color, saturation degree or brightness are adjusted in HSV color spaces, further according to the face after adjustment
RGB component after tone, saturation degree and the brightness calculation adjustment of color so that pixel color is updated to the RGB component after adjustment
The tertiary colour of composition.
But, by the color of pending pixel from during rgb color space is transformed into HSV color spaces, calculate
The formula of saturation degree is：Saturation degree=(maximum-minimum value)/maximum, value is the decimal between [0,1].Calculating
, it is necessary to carry out division and floating-point processing in journey.Or, pixel color from HSV color spaces is transformed into rgb color space
During, the formula for calculating tone interval i and tone declinate f is as follows：H=h/60, i=floor (h), f=h-floor
(h)；H/60 needs division to realize, f is h/60 decimal point part, it is necessary to carry out floating-point processing.
In the IC design (IC Design, Integrated circuit design) of image procossing, for example,
The driving IC of liquid crystal display (LCD, Liquid Crystal Display), or IP-based web camera (IPCam,
IP network camera) miniature image processing chip in, the color of pixel is entered using existing color adjustment algorithm
During row processing, it is necessary to divider and floating point calculator (FPU, floating point unit) are used, due to divider and FPU
Construction complexity is, it is necessary to take the area of integrated circuit in sizable image processing apparatus, for integrated in image processing apparatus
The manufacturing cost influence of circuit is very big.
The content of the invention
The embodiments of the invention provide a kind of image processing method and image processing apparatus, integrated circuit can be saved
Run power consumption.
In view of this, first aspect of the embodiment of the present invention provides a kind of image processing method, including：
Obtain the red component, green component, blue component of pending pixel；
Receive colorimetric parameter and saturation parameters；
According to the colorimetric parameter and the first preset value computation interval variable and declinate variable, the colorimetric parameter,
Saturation parameters, the first preset value, interval variable and declinate variable are integer；
According to the red component, the green component, the blue component, first preset value, the interval change
Amount, the declinate variable and the saturation parameters carry out computing and obtain target interval variable and provisional parameter；
Shifting processing is carried out to the provisional parameter and obtains target component；
According to the target interval variable and the target component determine target red component, target green component and
Target blue component, according to the target red component, target green component and target blue component to the pending picture
The color that vegetarian refreshments is shown is updated.
With reference in a first aspect, in the first possible embodiment of first aspect, it is described according to the colorimetric parameter and
First preset value computation interval variable and declinate variable include：
Wherein interval variable Δ i and declinate variable Δ f can meet following equation:
Δ h=(Δ i*m)+Δ f；
Wherein, the Δ h is the colorimetric parameter, and the m is the first preset value, and the m is integer, and the Δ f is less than
Or equal to the m.
With reference in a first aspect, or first aspect the first possible embodiment, may implement second of first aspect
It is described according to the red component, the green component, the blue component, first preset value, the interval in mode
Variable, the declinate variable and the saturation parameters, which calculate target interval variable and provisional parameter, to be included：
Brightness and minimum component are determined according to the red component, the green component, the blue component；
According to the red component, the green component, the blue component, the brightness and the minimum component meter
Difference parameter collection is calculated, the difference parameter collection includes the first difference parameter；
According to the red component, the green component, the blue component, the difference parameter collection and described first
Preset value calculates target interval parameter and goal discrepancy angle variable；
Target interval variable is determined according to the target interval parameter；
According to the brightness, first difference parameter, first preset value, the goal discrepancy angle variable and described
Saturation parameters calculate provisional parameter.
With reference to second of possible embodiment of first aspect, in the third possible embodiment of first aspect, according to
The red component, the green component, the blue component determine that brightness and minimum component include：
If r>G, r>B, then max=r；If r>G, b>R, then max=b；If r<G, r>B, then max=g；
If r<G, r<B, then min=r；If r<G, b<R, then min=b；If r>G, r<B, then min=g；
Wherein, the max is brightness, and the min is minimum component, and the r is the red component, and the g is described
Green component, the b is the blue component.
It is described in the 4th kind of possible embodiment of first aspect with reference to the third possible embodiment of first aspect
Difference ginseng is calculated according to the red component, the green component, the blue component, the brightness and the minimum component
Manifold includes：
Delta=max-min；If r<G, then delta_rg=g-r；If r>G, then delta_rg=r-g；If b<R, then
Delta_br=r-b；If b>R, then delta_br=b-r；If b<G, then delta_gb=g-b；If b>G, then delta_gb=
g-b；
The delta is the first difference parameter, and the delta_rg is the second difference parameter, and the delta_br is the 3rd
Difference parameter, the delta_gb is the 4th difference parameter, and the max is the brightness, and the min is the minimum component,
The r is the red component, and the g is the green component, and the b is the blue component.
It is described in the 5th kind of possible embodiment of first aspect with reference to the third possible embodiment of first aspect
According to the red component, the green component, the blue component, the difference parameter collection and the first preset value meter
Calculating target interval parameter and goal discrepancy angle variable includes：
Target interval parameter i' and goal discrepancy angle variable new_f is calculated in the following manner：
If r=g, g=b, then i'=Δs i, new_f=0；
If r=max, g≤b, delta_gb*m=delta*m, then i'=Δs i+1, new_f=Δs f*delta；
If r=max, g≤b, Δ f*delta+delta_gb*m≤delta*m, then i'=Δs i+1, new_f=Δs f*
delta+delta_gb*m-delta*m；
If r=max, g≤b, Δ f*delta+delta_gb*m<Delta*m, then i'=Δs i, new_f=Δs f*
delta；
If r=max, g<B, Δ f*delta≤delta_gb*m, then new_f=Δs f*delta-delta_gb*m, i'=
Δi+6；
If r=max, g<B, Δ f*delta<Delta_gb*m, then i'=Δs i+5, new_f=Δs f*delta+delta*
m-delta_gb*m；
If g=max, r≤2*delta+b, b≤r, delta_br*m=delta*m, then i'=Δs i+3, new_f=Δs
f*delta；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m>Delta*m, then i'=Δs i+3,
New_f=Δs f*delta+delta_br*m-delta*m；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m≤delta*m, then i'=Δs i+2,
New_f=Δs f*delta+delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta≤delta_br*m, then i'=Δs i+2, new_f=Δs
f*delta-delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta<Delta_br*m, then i'=Δs i+1, new_f=Δs
f*delta+delta*m-delta_br*m；
If g=max, r>2*delta+b, then i'=Δs i, new_f=Δs f*delta；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m≤delta*m, then i'=Δs i+5,
New_f=Δs f*delta+delta_rg*m-delta*m；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m<Delta*m, then i'=Δs i+4,
New_f=Δs f*delta+delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta≤delta_rg*m, then i'=Δs i+4, new_f=Δs
f*delta-delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta<Delta_rg*m, then i'=Δs i+3, new_f=Δs
f*delta+delta*m-delta_rg*m；
If b=max, g>4*delta+r, then i'=Δs i, new_f=Δs f*delta；
Wherein, the r is the red component, and the g is the green component, and the b is the blue component, described
M is first preset value, and the Δ f is the declinate variable, and the delta is first difference parameter, described
Delta_rg is second difference parameter, and the delta_br is the 3rd difference parameter, and the delta_gb is described
4th difference parameter, the Δ i is the interval variable, and the Δ f is the declinate variable.
It is described in the 6th kind of possible embodiment of first aspect with reference to the third possible embodiment of first aspect
Determine that target interval variable includes according to the target interval parameter：
If i'≤6, new_i=i'-6；If i'<6, then new_i=i'；
Wherein, the new_i is target interval variable, and the i' is the target interval parameter.
It is described in the 7th kind of possible embodiment of first aspect with reference to the 6th kind of possible embodiment of first aspect
Joined according to the brightness, first difference parameter, first preset value, the goal discrepancy angle variable and the saturation degree
Number, which calculates provisional parameter, to be included：
The first provisional parameter b_stp1, the second provisional parameter c_stp1 and the 3rd provisional parameter are calculated in the following way
d_stp1：
B_stp1=(max*n)-(delta*adj_sat)；
C_stp1=(max*m*n)-(adj_sat*new_f)；
D_stp1=(max*m*n)+(adj_sat*new_f)-(delta*adj_sat*m)；
The max is the brightness, and the delta is first difference parameter, and the adj_sat is the saturation degree
Parameter, the new_f is the goal discrepancy angle variable, and the m is first preset value, and the n is the second preset value, described
M and n meet below equation：M=2n.
It is described in the 8th kind of possible embodiment of first aspect with reference to the 7th kind of possible embodiment of first aspect
Provisional parameter progress shifting processing is obtained into target component includes：
First object parameter b_value, the second target component c_value, the 3rd target component are calculated in the following manner
d_value：
B_value=(b_stp1>>k1)；
C_value=(c_stp1>>k2)；
D_value=(d_stp1>>k2)；
Wherein, k1, k2 are default integer, b_stp1>>K1 represents b_stp1 moving to right k1 bit.
With reference to the 8th kind of possible embodiment of first aspect, in the 9th kind of possible embodiment of first aspect, including：
Target red component new_r, target green component new_g and target blue component new_b are calculated in the following manner：
If new_i=0, new_r=max, new_g=d_value, new_b=b_value；
If new_i=1, new_r=c_value, new_g=max, new_b=b_value；
If new_i=2, new_r=b_value, new_g=max, new_b=d_value；
If new_i=3, new_r=b_value, new_g=c_value, new_b=max；
If new_i=4, new_r=d_value, new_g=b_value, new_b=max；
If new_i=5, new_r=max, new_g=b_value, new_b=c_value；
Wherein, new_r is target red component, and new_g is target green component, and new_b is target blue component, b_
Value is first provisional parameter, and c_value is second provisional parameter, and d_value is the 3rd provisional parameter,
New_i is the target interval variable, and the max is the brightness.
It is described in the tenth kind of possible embodiment of first aspect with reference to the 7th kind of possible embodiment of first aspect
Provisional parameter is calculated according to the brightness, first difference parameter, the goal discrepancy angle variable and the saturation parameters
Include before：
Judge whether the product of first difference parameter and the saturation parameters is pre- less than the brightness and described second
If the product of value, if so, then triggering according to the brightness, first difference parameter, the goal discrepancy angle variable and described full
The step of provisional parameter being calculated with degree parameter.
Second aspect of the embodiment of the present invention provides a kind of image processing apparatus, including：
Acquisition module, red component, green component, blue component for obtaining pending pixel；
Receiving module, for receiving colorimetric parameter and saturation parameters；
Computing module, for according to the colorimetric parameter and the first preset value computation interval variable and declinate variable；
Computing module, for being preset according to the red component, the green component, the blue component, described first
Value, the interval variable, the declinate variable and the saturation parameters carry out computing and obtain target interval variable and face
When parameter；
Shifting processing module, target component is obtained for carrying out shifting processing to the provisional parameter；
Determining module, for determining target red component, mesh according to the target interval variable and the target component
Mark green component and target blue component；
Update module, for according to the target red component, target green component and target blue component to described
The color that pending pixel is shown is updated.
With reference to second aspect, in the first possible embodiment of second aspect, the computing module is specifically for basis
The red component, the green component, the blue component determine brightness and minimum component；According to the red component,
The green component, the blue component, the brightness and the minimum component calculate difference parameter collection, the difference parameter
Collection includes the first difference parameter；According to the red component, the green component, the blue component, the difference parameter collection
And first preset value calculates target interval parameter and goal discrepancy angle variable；Mesh is determined according to the target interval parameter
Mark interval variable；According to the brightness, first difference parameter, the goal discrepancy angle variable and the saturation parameters meter
Calculate provisional parameter.
It is described in second of possible embodiment of second aspect with reference to the first possible embodiment of second aspect
Computing module is additionally operable to judge whether first difference parameter and the product of the saturation parameters are less than the brightness and second
The product of preset value, if so, then triggering the computing module according to the brightness, first difference parameter, the target declinate
Variable and the saturation parameters calculate the provisional parameter.
As can be seen from the above technical solutions, the embodiment of the present invention has advantages below：Obtain the red of pending pixel
Colouring component, green component, blue component；Receive colorimetric parameter and saturation parameters；It is default according to colorimetric parameter and first
It is worth computation interval variable and declinate variable, colorimetric parameter, saturation parameters, the first preset value, interval variable and declinate become
Measure as integer；According to red component, green component, blue component, the first preset value, interval variable, declinate variable and saturation
Degree parameter carries out computing and obtains target interval variable and provisional parameter；Shifting processing is carried out to provisional parameter and obtains target ginseng
Number；Target red component, target green component and target blue component are determined according to target interval variable and target component,
The color shown according to target red component, target green component and target blue component to pending pixel is carried out more
Newly.In embodiments of the present invention, colorimetric parameter and saturation parameters are adjusted, calculating process is optimized so that defeated
It is integer to enter data, intermediate data and gained RGB component, and the algorithm is realized simply, reduces the complexity of calculating, simultaneously
Can accelerate to perform speed, reduce the power consumption of image processing apparatus, improve overall execution efficiency, it may also be used for without divider or
Integrated circuit without FPU.
Brief description of the drawings
Fig. 1 is a schematic flow sheet of image processing method in the embodiment of the present invention；
Fig. 2 is another schematic flow sheet of image processing method in the embodiment of the present invention；
Fig. 3 is a structural representation of image processing apparatus 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 is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Referring to Fig. 1, one embodiment of image processing method includes in the embodiment of the present invention：
Step S101, red component, green component, the blue component for obtaining pending pixel；
Image processing apparatus can obtain the red component, green component, blue component of pending pixel, image procossing
Device is the picture reproducer for possessing disposal ability, can be computer, television set or mobile phone etc., can also be other similar devices,
It is not construed as limiting herein.
The value of color component is positive integer, and value size is related to the memory space of color component, is not construed as limiting herein.
The red component of the pending pixel of image processing apparatus acquisition, green component, the detailed process of blue component are
Prior art, here is omitted.
Step S102, reception colorimetric parameter and saturation parameters；
Image processing apparatus can receive colorimetric parameter and saturation parameters,
When the color of pending pixel is represented with hsv color model, image processing apparatus can utilize colorimetric parameter
The tone value of pending pixel is adjusted, the intensity value of pending pixel adjusted using saturation parameters
Whole, above-mentioned colorimetric parameter and saturation parameters are integer.
It should be noted that the sequencing that this step is not fixed with step S101, is not construed as limiting herein.In this step
In, colorimetric parameter can be first received, then receive saturation parameters, can also first receive saturation parameters, then receive colorimetric parameter,
It is not construed as limiting herein.
Step S103, according to colorimetric parameter and the first preset value computation interval variable and declinate variable；
Image processing apparatus receive colorimetric parameter after, according to the first preset value by colorimetric parameter be decomposed into interval variable and
Declinate variable, interval variable is the corresponding interval of colorimetric parameter, and declinate variable is colorimetric parameter interval corresponding with colorimetric parameter
The difference of middle minimum value.
Colorimetric parameter is decomposed into interval variable and declinate variable by image processing apparatus, can when handling colorimetric parameter
To carry out positive integer processing to colorimetric parameter, and without computing into decimal form, carry out floating-point operation.
Step S104, according to red component, green component, blue component, the first preset value, interval variable, declinate variable
And saturation parameters carry out computing and obtain target interval variable and provisional parameter；
Tone interval includes 6 intervals, is first interval from red to yellow, is second interval from yellow to green, from
Green is 3rd interval to cyan, is the 4th interval from cyan to blueness, interval for the 5th from blueness to magenta, from magenta
It is interval for the 6th to red.
Red component, green component, blue component are compared by image processing apparatus, it may be determined that pending pixel
Color tone it is interval, obtain after interval variable, target interval variable can be obtained according to interval variable and tone interval.
Image processing apparatus is obtained after red component, green component, blue component, determines the corresponding default bar of the color
Part, carries out computing according to red component, green component, blue component, the first preset value and declinate variable and obtains the change of target declinate
Amount, calculates interim according to red component, green component, blue component, the first preset value, goal discrepancy angle variable and saturation parameters
Parameter.
Step S105, to provisional parameter carry out shifting processing obtain target component；
Image processing apparatus is obtained after provisional parameter, and provisional parameter progress shifting processing is obtained into target component, target
Parameter is used to determine color of object component.
Step S106, determined according to target interval variable and target component target red component, target green component with
And target blue component；
Image processing apparatus is obtained after target interval variable and target component, can according to target interval variable and
Target component determines color of object component, so that the pixel color is transformed into rgb color space from HSV color spaces.
It should be noted that target interval is corresponding with target interval variable, when the tone of pending pixel color is located at
Target interval, color component value is target component.Image processing apparatus is determined according to target interval variable and target component
Color of object component detailed process is prior art, and here is omitted.
Step S107, according to target red component, target green component and target blue component to pending pixel
The color of display is updated.
Image processing apparatus is according to target red component, target green component and target blue component to pending pixel
The color of point display is updated as prior art, and here is omitted.
In the present embodiment, image processing apparatus can obtain the red component, green component, blueness point of pending pixel
Amount；Receive colorimetric parameter and saturation parameters；According to colorimetric parameter and the first preset value computation interval variable and declinate
Variable, colorimetric parameter, saturation parameters, the first preset value, interval variable and declinate variable are integer；According to red component,
Green component, blue component, the first preset value, interval variable, declinate variable and saturation parameters carry out computing and obtain target
Interval variable and provisional parameter；Shifting processing is carried out to provisional parameter and obtains target component；According to target interval variable and
Target component determines target red component, target green component and target blue component, green according to target red component, target
The color that colouring component and target blue component are shown to pending pixel is updated.In embodiments of the present invention, to color
Parameter and saturation parameters are adjusted to be adjusted, calculating process is optimized so that input data, intermediate data and gained
RGB component is integer, and the algorithm is realized simply, reduces the complexity of calculating, while can accelerate to perform speed, reduces figure
As the power consumption of processing unit, overall execution efficiency is improved, it may also be used for the integrated circuit without divider or without FPU.
Referring to Fig. 2, another embodiment of image processing method includes in the embodiment of the present invention：
Step S201, red component, green component, the blue component for obtaining pending pixel；
In the present embodiment, the span of the color component of pending pixel for [0, m).M is the first preset value, value
For the positive integer power of 2 more than 2, color component includes red component, green component, blue component.Color point in the present invention
Amount can be represented with Δ i*m+ Δs f, therefore when calculating interval panel tone and goal discrepancy angle variable, can pass through displacement to the right
Computing replaces division arithmetic.
Step S202, reception colorimetric parameter and saturation parameters；
In this step, the span of colorimetric parameter for [0,6m), the spans of saturation parameters for [0, m).
When the colorimetric parameter or saturation parameters scope that image processing apparatus is received exceed span, step is triggered
S209；When the colorimetric parameter or saturation parameters scope that image processing apparatus is received are within span, step is triggered
S203。
Step S203, according to colorimetric parameter and the first preset value computation interval variable and declinate variable；
Image processing apparatus is obtained after colorimetric parameter, and interval variable Δ i and declinate can be determined in the following manner
Variable Δ f；If Δ h<M, then Δ i=0, Δ f=Δs h；If m<Δh<2m, then Δ i=1, Δ f=Δs h-m；If 2m<Δh<3m,
Then Δ i=2, Δ f=Δs h-2m；If 3m<Δh<4m, then Δ i=3, Δ f=Δs h-3m；If 4m<Δh<5m, then Δ i=4, Δ
F=Δs h-4m；If 5m<Δh<6m, then Δ i=5, Δ f=Δs h-5m；If Δ h=6m, Δ i=6, Δ f=0；If Δ h>
6m, then Δ i=0, Δ f=0；Wherein, interval variable Δ i and declinate variable Δ f meet below equation：Δ f=Δs h- (Δ i*
m).Δ i is interval variable, and Δ f is declinate variable, and m is the first preset value, and Δ h is colorimetric parameter.Δ i span for [0,
6], Δ f span be [0, m).
It should be noted that in this step, comparing colorimetric parameter with after the multiple of the first preset value, can also first determine
Interval variable, then calculate declinate variable；Or, declinate variable, then computation interval variable are first determined, it is not construed as limiting herein.
Step S204, determine according to red component, green component, blue component brightness and minimum component；
Brightness max and minimum component min is determined in the following manner：
If r>G, r>B, then max=r；If r>G, b>R, then max=b；If r<G, r>B, then max=g；
If r<G, r<B, then min=r；If r<G, b<R, then min=b；If r>G, r<B, then min=g；
Wherein, r is red component, and g is green component, and b is blue component, and max is positive integer.
Step S205, difference parameter calculated according to red component, green component, blue component, brightness and minimum component
Collection；
Image processing apparatus can calculate poor according to red component, green component, blue component, brightness and minimum component
Different parameter set, difference parameter collection includes the first difference parameter, the second difference parameter, the 3rd difference parameter, the 4th difference parameter, tool
Body computational methods are as follows：
Delta=max-min；If r<G, then delta_rg=g-r；If r>G, then delta_rg=r-g；If b<R, then
Delta_br=r-b；If b>R, then delta_br=b-r；If b<G, then delta_gb=g-b；If b>G, then delta_gb=
g-b；Wherein, delta is the first difference parameter, and delta_rg is the second difference parameter, and delta_br is the 3rd difference parameter,
Delta_gb is the 4th difference parameter, and max is brightness, and min is minimum component, and r is red component, and g is green component, and b is yes
Blue component.
Step S206, according to red component, green component, blue component, difference parameter collection and the first preset value calculate
Target interval parameter and goal discrepancy angle variable；
Image processing apparatus calculates target interval variable parameter i' and target interval variable declinate in the following manner
new_f：
If r=g, g=b, then i'=Δs i, new_f=0；
If r=max, g≤b, delta_gb*m=delta*m, then i'=Δs i+1, new_f=Δs f*delta；
If r=max, g≤b, Δ f*delta+delta_gb*m≤delta*m, then i'=Δs i+1, new_f=Δs f*
delta+delta_gb*m-delta*m；
If r=max, g≤b, Δ f*delta+delta_gb*m<Delta*m, then i'=Δs i, new_f=Δs f*
delta；
If r=max, g<B, Δ f*delta≤delta_gb*m, then i'=Δs i+6, new_f=Δs f*delta-
delta_gb*m；
If r=max, g<B, Δ f*delta<Delta_gb*m, then i'=Δs i+5, new_f=Δs f*delta+delta*
m-delta_gb*m；
If g=max, r≤2*delta+b, b≤r, delta_br*m=delta*m, then i'=Δs i+3, new_f=Δs
f*delta；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m>Delta*m, then i'=Δs i+3,
New_f=Δs f*delta+delta_br*m-delta*m；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m≤delta*m, then i'=Δs i+2,
New_f=Δs f*delta+delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta≤delta_br*m, then i'=Δs i+2, new_f=Δs
f*delta-delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta<Delta_br*m, then i'=Δs i+1, new_f=Δs
f*delta+delta*m-delta_br*m；
If g=max, r>2*delta+b, then i'=Δs i, new_f=Δs f*delta；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m≤delta*m, then i'=Δs i+5,
New_f=Δs f*delta+delta_rg*m-delta*m；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m<Delta*m, then i'=Δs i+4,
New_f=Δs f*delta+delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta≤delta_rg*m, then i'=Δs i+4, new_f=Δs
f*delta-delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta<Delta_rg*m, then i'=Δs i+3, new_f=Δs
f*delta+delta*m-delta_rg*m；
If b=max, g>4*delta+r, then i'=Δs i, new_f=Δs f*delta.
Wherein, r is red component, and g is green component, and b is blue component, and m is the first preset value, and Δ f is declinate variable,
Delta is the first difference parameter, and delta_rg is the second difference parameter, and delta_br is the 3rd difference parameter, and delta_gb is
4th difference parameter.
By the restrictive condition of setting, target interval parameter i' and panel tone declinate new_f, target interval ginseng are determined
Number i' and panel tone declinate new_f is positive integer, and target interval parameter i' is used to calculate target interval variable, panel tone
Declinate parameter new_f is used to calculate target component.
Step S207, target interval variable determined according to target interval parameter；
Image processing apparatus can determine target interval variable according to target interval parameter, and specific formula is as follows：If i'≤
6, then new_i=i'-6；If i'<6, then new_i=i'；
When the color of pending pixel is represented with hsv color model, target interval variable is the corresponding color of the color
Adjust interval, if i'≤6, expression is adjusted using colorimetric parameter to the color, more than interval range, it is necessary to the color pair
The tone interval answered is adjusted, and is adjusted to new_i=i'-6.
Step S208, judge the first difference parameter and saturation parameters product whether be less than brightness and the second preset value it
Product, if so, step S210 is then triggered, if it is not, then triggering step S209；
Image processing apparatus is obtained after the first difference parameter, saturation parameters and brightness, it can be determined that delta*
adj_sat<Whether max*n sets up, wherein, delta is the first difference parameter, and adj_sat is saturation parameters, and max is brightness,
N is the second preset value, and the second preset value and the first preset value meet below equation：M=2n.
If delta*adj_sat<Max*n, shows saturation parameters within the scope of the restriction of saturation parameters, triggering step
Rapid 210, if delta*adj_sat≤max*n, represent that saturation parameters outside the restriction scope of saturation parameters, are unsatisfactory for
This algorithm is provided, triggers step 209.
It should be noted that in actual applications, if limited in input process saturation parameters so that
Without this deterministic process in calculating process, this step can not also be performed, is not construed as limiting herein.
Step S209, perform other flows.
When image processing apparatus determines the first difference parameter with the product of saturation parameters not less than brightness and the second preset value
Product when, then show saturation parameters exceed saturation parameters restriction scope, be unsatisfactory at the qualifications of this algorithm, image
Saturation parameters can be set to the second preset value by reason device so that the saturation degree of above-mentioned color keeps constant, can also alert,
Show that the saturation parameters of input are wrong, can also carry out other flows, be not construed as limiting herein.
Step S210, according to brightness, the first difference parameter, the first preset value, goal discrepancy angle variable and saturation parameters
Calculate provisional parameter；
Image processing apparatus calculate in the following way the first provisional parameter b_stp1, the second provisional parameter c_stp1 and
3rd provisional parameter d_stp1：
B_stp1=(max*n)-(delta*adj_sat)；
C_stp1=(max*m*n)-(adj_sat*new_f)；
D_stp1=(max*m*n)+(adj_sat*new_f)-(delta*adj_sat*m)；
Wherein, max is brightness, and delta is the first difference parameter, and adj_sat is saturation parameters, and m is the first preset value,
N is the second preset value.
Step S211, to provisional parameter carry out shifting processing obtain target component；
Image processing apparatus calculates first object parameter b_value, the second target component c_value in the following way,
3rd target component d_value：
B_value=(b_stp1>>k1)；
C_value=(c_stp1>>k2)；
D_value=(d_stp1>>k2)；
Wherein, k1, k2 are default integer, b_stp1>>K1 shows b_stp1 moving to right k1 bit, c_stp1>>K2 tables
It is bright that c_stp1 is moved to right into k2 bit, d_stp1>>K2 shows d_stp1 moving to right k2 bit.
It should be noted that k1, k2 meet below equation：N=2k1, m=2k1+1, m*n=2k2, m are first default
Value, n is the second preset value.
Colorimetric parameter and saturation parameters are exaggerated adjustment by this algorithm, in this step by gained provisional parameter
The corresponding order of magnitude of RGB component is reverted to, because n is 2 k1 power, therefore provisional parameter k1 bit is moved to right into mathematically
It is equivalent to provisional parameter divided by n, is that can be achieved without divider.
Step S212, determined according to target interval variable and target component target red component, target green component with
And target blue component；
Image processing apparatus calculates target red component in the following manner according to target interval variable and target component
New_r, target green component new_g and target blue component new_b：
If new_i=0, new_r=max, new_g=d_value, new_b=b_value；
If new_i=1, new_r=c_value, new_g=max, new_b=b_value；
If new_i=2, new_r=b_value, new_g=max, new_b=d_value；
If new_i=3, new_r=b_value, new_g=c_value, new_b=max；
If new_i=4, new_r=d_value, new_g=b_value, new_b=max；
If new_i=5, new_r=max, new_g=b_value, new_b=c_value；
Wherein, b_value is the first provisional parameter, and c_value is the second provisional parameter, and d_value is the 3rd interim ginseng
Number, new_i is target interval variable, and max is brightness.
Image processing apparatus obtains color of object component, that is, represents to change the color of the pixel from HSV color spaces
To rgb color space.
Step S213, according to target red component, target green component and target blue component to pending pixel
The color of display is updated.
Image processing apparatus is according to target red component, target green component and target blue component to pending pixel
The color of point display is updated.
In the present embodiment, image processing apparatus can obtain the red component, green component, blueness point of pending pixel
Amount；Receive colorimetric parameter and saturation parameters；According to colorimetric parameter and the first preset value computation interval variable and declinate
Variable, colorimetric parameter, saturation parameters, the first preset value, interval variable and declinate variable are integer；According to red component,
Green component, blue component, the first preset value, interval variable, declinate variable and saturation parameters carry out computing and obtain target
Interval variable and provisional parameter；Shifting processing is carried out to provisional parameter and obtains target component；According to target interval variable and
Target component determines target red component, target green component and target blue component, green according to target red component, target
The color that colouring component and target blue component are shown to pending pixel is updated.In embodiments of the present invention, to color
Parameter and saturation parameters are adjusted to be adjusted, calculating process is optimized so that input data, intermediate data and gained
RGB component is integer, and the algorithm is realized simply, reduces the complexity of calculating, while can accelerate to perform speed, reduces figure
As the power consumption of processing unit, overall execution efficiency is improved, it may also be used for the integrated circuit without divider or without FPU.
Secondly, the embodiments of the invention provide the concrete processing procedure of conversion pixel color, scheme implementation is improved
Feasibility.
For ease of understanding, image processing method in the embodiment of the present invention is retouched with a concrete application scene below
State：
In the concrete application scene of the present embodiment, image processing apparatus is by taking computer as an example, it is assumed that computer stores picture
The memory space of the color component of vegetarian refreshments is 8bits, then computer obtains the r of pending rgb pixel point, g, b tri- colors point
Amount, such as (250,45,120), red component r is 250, and green component g is 45, and blue component b is 120；
User inputs colorimetric parameter in a computer, it is assumed that colorimetric parameter is 1000, and the first preset value is 256, computer
Judge that 1000 are more than 3*256 and less than 4*256, it is 3 to obtain interval variable Δ i, and declinate variable Δ f is 24；
Computer determines brightness max and minimum component min according to r, g, b, specific as follows：R, g, b are compared,
250>45,250>120, it is 250,45 to obtain brightness max<250,45<120, it is 45 to obtain minimum component min；
Computer obtains difference parameter collection by the following method：
First difference parameter delta：250-45=205, the second difference parameter delta_rg：250-45=205, the 3rd is poor
Different parameter delta_br：250-120=130, the 4th difference parameter delta_gb：120-45=75；
Obtain after above-mentioned parameter, computer judges r, max, g, b, and Δ f, delta, delta_gb, m meet following bar
Part：R=max (250=250), g<b(45<120), Δ f*delta<delta_gb*m(24*205<75*256), then computer
Target interval parameter i' is calculated in the following way：I'=Δs i+5 (8=3+5), goal discrepancy angle variable new_f：New_f=Δs
F*delta+delta*m-delta_gb*m=(24*205+205*256-75*256)=38200；
Computer judges i'>6, determine target interval variable new_i=i'-6=8-6=2；
User inputs saturation parameters in a computer, it is assumed that saturation parameters are 130, and default the is worth to according to first
Two preset values are 128, and computer compares delta*adj_sat (205*130) and max*n (250*128), determines 205*130<
250*128, shows saturation parameters scope within this algorithm prescribed limit；
Computer according to brightness max, the first difference parameter delta, the first preset value m, goal discrepancy angle variable new_f and
Saturation parameters adj_sat is calculated：
First provisional parameter b_stp1：B_stp1=(max*n)-(delta*adj_sat)=250*128-205*130=
5350；
Second provisional parameter c_stp1=(max*m*n)-(adj_sat*new_f)=250*256*128-130*38200
=3226000；
3rd provisional parameter d_stp1=(max*m*n)+(adj_sat*new_f)-(delta*adj_sat*m)=250*
256*128+130*38200-205*130*256=6335600；
Target component is calculated according to provisional parameter, is accomplished by the following way：
First object parameter：B_value=(b_stp1>>7), show that the first provisional parameter b_stp1 is moved to right into 7 obtains
41；
Second target component：C_value=(c_stp1>>K2), show that the second provisional parameter is moved to right into 15 obtains 98；
3rd target component：D_value=(d_stp1>>K2), show that the 3rd provisional parameter is moved right into 15 obtains 193；
Computer is 2 according to target interval variable new_i, using first object parameter 41 as target red component, by the
Two target components 250 regard the 3rd targeted parameter value 193 as the blue variable of target as target green component；
The color that pending pixel is shown is updated by the color component (41,250,193) according to getting.
Image processing method in the embodiment of the present invention is described from the angle of method above, below from the angle of device
Image processing apparatus in the embodiment of the present invention is described：
Referring to Fig. 3, one embodiment of image processing apparatus includes in the embodiment of the present invention：
Acquisition module 301, red component, green component, blue component for obtaining pending pixel；
Receiving module 302, for receiving colorimetric parameter and saturation parameters；
Computing module 303, for according to colorimetric parameter and the first preset value computation interval variable and declinate variable；
Computing module 304, for according to red component, green component, blue component, the first preset value interval variable, difference
Angle variable and saturation parameters carry out computing and obtain target interval variable and provisional parameter；
Shifting processing module 305, target component is obtained for carrying out shifting processing to provisional parameter；
Determining module 306, for determining target red component, target green according to target interval variable and target component
Component and target blue component；
Update module 307, for according to target red component, target green component and target blue component to pending
The color that pixel is shown is updated.
Optionally, on the basis of embodiment illustrated in fig. 3, another embodiment of image processing apparatus in the embodiment of the present invention
In, computing module 304 specifically for determining brightness and minimum component according to red component, green component, blue component, according to
Red component, green component, blue component, brightness and minimum component calculate difference parameter collection, and difference parameter collection includes first
Difference parameter, target interval is calculated according to red component, green component, blue component, difference parameter collection and the first preset value
Parameter and goal discrepancy angle variable, target interval variable is determined according to target interval parameter, according to brightness, the first difference parameter,
Goal discrepancy angle variable and saturation parameters calculate provisional parameter.
Optionally, on the basis of embodiment illustrated in fig. 3 or alternative embodiment, image processing apparatus in the embodiment of the present invention
Another embodiment in, computing module is additionally operable to judge whether the product of the first difference parameter and saturation parameters is less than brightness and the
The product of two preset values, if so, then triggering computing module is according to brightness, the first difference parameter, goal discrepancy angle variable and saturation degree
Parameter calculates provisional parameter.
For ease of understanding, below with modules of the practical application scene to image processing apparatus in the embodiment of the present invention
Between interaction be described：
Acquisition module 301 obtains the red component, green component, blue component of pending pixel；
Receiving module 302 receives colorimetric parameter and saturation parameters；
Colorimetric parameter that computing module 303 is received according to receiving module 302 and the first preset value computation interval variable with
And declinate variable；
Red component that computing module 304 is obtained according to acquisition module 301, green component, blue component determine brightness with
And minimum component；Difference parameter collection is calculated according to red component, green component, blue component, brightness and minimum component；According to
Red component, green component, blue component, difference parameter collection and the first preset value calculate target interval parameter and goal discrepancy
Angle variable；According to target interval parameter determine target interval variable according to brightness, the first difference parameter, goal discrepancy angle variable and
Saturation parameters calculate provisional parameter；The provisional parameter that shifting processing module 305 is obtained to the computing of computing module 304 is shifted
Processing obtains target component；Target interval variable and shifting processing that determining module 306 is obtained according to the computing of computing module 304
The target component that module 305 is obtained determines target red component, target green component and target blue component；Update module
307 target red component, target green component and the target blue components determined according to determining module 306 are to pending pixel
The color of point display is updated.
Computing module 304 is additionally operable to judge whether the product of the first difference parameter and saturation parameters is pre- less than brightness and second
If the product of value.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the division of unit,
It is only a kind of division of logic function, there can be other dividing mode when actually realizing, such as multiple units or component can be with
With reference to or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown or discussed
Coupling each other or direct-coupling or communication connection can be by some interfaces, the INDIRECT COUPLING of device or unit or
Communication connection, can be electrical, machinery or other forms.
The unit illustrated as separating component can be or may not be physically separate, be shown as unit
Part can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple networks
On unit.Some or all of unit therein can be selected to realize the purpose of this embodiment scheme according to the actual needs.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
If integrated unit is realized using in the form of SFU software functional unit and is used as independent production marketing or in use, can
To be stored in a computer read/write memory medium.Based on it is such understand, technical scheme substantially or
Saying all or part of the part contributed to prior art or the technical scheme can be embodied in the form of software product
Out, the computer software product is stored in a storage medium, including some instructions are to cause a computer equipment
(can be personal computer, server, or network equipment etc.) performs all or part of each embodiment method of the invention
Step.And foregoing storage medium includes：It is USB flash disk, mobile hard disk, read-only storage (ROM, Read-Only Memory), random
Access memory (RAM, Random Access Memory), disk or CD etc. are various can be with the medium of store program codes.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations, although with reference to the foregoing embodiments
The present invention is described in detail, it will be understood by those within the art that：It still can be to foregoing each implementation
Technical scheme described in example is modified, or carries out equivalent substitution to which part technical characteristic；And these modification or
Replace, the essence of appropriate technical solution is departed from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (11)
1. a kind of image processing method, it is characterised in that including：
Obtain the red component, green component, blue component of pending pixel；
Receive colorimetric parameter and saturation parameters；
According to the colorimetric parameter and the first preset value computation interval variable and declinate variable, it is specially：Interval variable Δ i
Following equation can be met with declinate variable Δ f：Δ h=(Δ i*m)+Δ f；Wherein, the Δ f is less than or equal to the m, institute
Δ h is stated for the colorimetric parameter, the m is the first preset value, the colorimetric parameter, saturation parameters, the first preset value, interval
Variable and declinate variable are integer；
According to the red component, the green component, the blue component, first preset value, the interval variable, institute
State declinate variable and the saturation parameters carry out computing and obtain target interval variable and provisional parameter, be specially：According to
The red component, the green component, the blue component determine brightness and minimum component；According to the red component,
The green component, the blue component, the brightness and the minimum component calculate difference parameter collection, the difference parameter
Collection includes the first difference parameter；According to the red component, the green component, the blue component, the difference parameter collection
And first preset value calculates target interval parameter and goal discrepancy angle variable；Mesh is determined according to the target interval parameter
Mark interval variable；According to the brightness, first difference parameter, first preset value, the goal discrepancy angle variable and
The saturation parameters calculate provisional parameter；
Dextroposition processing is carried out to the provisional parameter and obtains target component；
Target red component, target green component and target are determined according to the target interval variable and the target component
Blue component, according to the target red component, target green component and target blue component to the pending pixel
The color of display is updated.
2. image processing method according to claim 1, it is characterised in that according to the red component, the green point
Amount, the blue component determine that brightness and minimum component include：
If r>G, r>B, then max=r；If r>G, b>R, then max=b；If r<G, r>B, then max=g；
If r<G, r<B, then min=r；If r<G, b<R, then min=b；If r>G, r<B, then min=g；
Wherein, the max is brightness, and the min is minimum component, and the r is the red component, and the g is the green
Component, the b is the blue component.
3. image processing method according to claim 2, it is characterised in that it is described according to the red component, it is described green
Colouring component, the blue component, the brightness and the minimum component, which calculate difference parameter collection, to be included：
Delta=max-min；If r<G, then delta_rg=g-r；If r>G, then delta_rg=r-g；If b<R, then delta_
Br=r-b；If b>R, then delta_br=b-r；If b<G, then delta_gb=g-b；If b>G, then delta_gb=g-b；
The delta is the first difference parameter, and the delta_rg is the second difference parameter, and the delta_br is the 3rd difference
Parameter, the delta_gb is the 4th difference parameter, and the max is the brightness, and the min is the minimum component, the r
For the red component, the g is the green component, and the b is the blue component.
4. image processing method according to claim 3, it is characterised in that it is described according to the red component, it is described green
Colouring component, the blue component, the difference parameter collection and first preset value calculate target interval parameter and target
Declinate variable includes：
Target interval parameter i' and goal discrepancy angle variable new_f is calculated in the following manner：
If r=g, g=b, then i'=Δs i, new_f=0；
If r=max, g≤b, delta_gb*m=delta*m, then i'=Δs i+1, new_f=Δs f*delta；
If r=max, g≤b, Δ f*delta+delta_gb*m≤delta*m, then i'=Δs i+1, new_f=Δs f*delta+
delta_gb*m-delta*m；
If r=max, g≤b, Δ f*delta+delta_gb*m<Delta*m, then i'=Δs i, new_f=Δs f*delta；
If r=max, g<B, Δ f*delta≤delta_gb*m, then new_f=Δs f*delta-delta_gb*m, i'=Δs i+
6；
If r=max, g<B, Δ f*delta<Delta_gb*m, then i'=Δs i+5, new_f=Δs f*delta+delta*m-
delta_gb*m；
If g=max, r≤2*delta+b, b≤r, delta_br*m=delta*m, then i'=Δs i+3, new_f=Δs f*
delta；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m>Delta*m, then i'=Δs i+3, new_f
=Δ f*delta+delta_br*m-delta*m；
If g=max, r≤2*delta+b, b≤r, Δ f*delta+delta_br*m≤delta*m, then i'=Δs i+2, new_
F=Δs f*delta+delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta≤delta_br*m, then i'=Δs i+2, new_f=Δs f*
delta-delta_br*m；
If g=max, r≤2*delta+b, r>B, Δ f*delta<Delta_br*m, then i'=Δs i+1, new_f=Δs f*
delta+delta*m-delta_br*m；
If g=max, r>2*delta+b, then i'=Δs i, new_f=Δs f*delta；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m≤delta*m, then i'=Δs i+5, new_f
=Δ f*delta+delta_rg*m-delta*m；
If b=max, g≤4*delta+r, r>G, Δ f*delta+delta_rg*m<Delta*m, then i'=Δs i+4, new_f
=Δ f*delta+delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta≤delta_rg*m, then i'=Δs i+4, new_f=Δs f*
delta-delta_rg*m；
If b=max, g≤4*delta+r, g>R, Δ f*delta<Delta_rg*m, then i'=Δs i+3, new_f=Δs f*
delta+delta*m-delta_rg*m；
If b=max, g>4*delta+r, then i'=Δs i, new_f=Δs f*delta；
Wherein, the r is the red component, and the g is the green component, and the b is the blue component, and the m is
First preset value, the Δ f is the declinate variable, and the delta is first difference parameter, the delta_rg
For second difference parameter, the delta_br is the 3rd difference parameter, and the delta_gb is the 4th difference
Parameter, the Δ i is the interval variable, and the Δ f is the declinate variable.
5. image processing method according to claim 4, it is characterised in that described to be determined according to the target interval parameter
Target interval variable includes：
If i'≤6, new_i=i'-6；If i'<6, then new_i=i'；
Wherein, the new_i is target interval variable, and the i' is the target interval parameter.
6. image processing method according to claim 4, it is characterised in that it is described according to the brightness, it is described first poor
Different parameter, first preset value, the goal discrepancy angle variable and the saturation parameters, which calculate provisional parameter, to be included：
The first provisional parameter b_stp1, the second provisional parameter c_stp1 and the 3rd provisional parameter d_ are calculated in the following way
stp1：
B_stp1=(max*n)-(delta*adj_sat)；
C_stp1=(max*m*n)-(adj_sat*new_f)；
D_stp1=(max*m*n)+(adj_sat*new_f)-(delta*adj_sat*m)；
Wherein, the max is the brightness, and the delta is first difference parameter, and the adj_sat is the saturation
Parameter is spent, the new_f is the goal discrepancy angle variable, and the m is first preset value, and the n is the second preset value, institute
State m and n meets below equation：M=2n.
7. image processing method according to claim 6, it is characterised in that described that the provisional parameter is subjected to dextroposition
Processing, which obtains target component, to be included：
First object parameter b_value, the second target component c_value, the 3rd target component d_ are calculated in the following manner
value：
B_value=(b_stp1>>k1)；
C_value=(c_stp1>>k2)；
D_value=(d_stp1>>k2)；
Wherein, k1, k2 are default integer, b_stp1>>K1 represents b_stp1 moving to right k1 bit.
8. image processing method according to claim 7, it is characterised in that it is described according to the target interval variable and
The target component determines that target red component, target green component and target blue component include：
Target red component new_r, target green component new_g and target blue component new_b are calculated in the following manner：
If new_i=0, new_r=max, new_g=d_value, new_b=b_value；
If new_i=1, new_r=c_value, new_g=max, new_b=b_value；
If new_i=2, new_r=b_value, new_g=max, new_b=d_value；
If new_i=3, new_r=b_value, new_g=c_value, new_b=max；
If new_i=4, new_r=d_value, new_g=b_value, new_b=max；
If new_i=5, new_r=max, new_g=b_value, new_b=c_value；
Wherein, new_r is target red component, and new_g is target green component, and new_b is target blue component, b_value
For first provisional parameter, c_value is second provisional parameter, and d_value is the 3rd provisional parameter, new_i
For the target interval variable, the max is the brightness.
9. image processing method according to claim 6, it is characterised in that it is described according to the brightness, it is described first poor
Different parameter, the goal discrepancy angle variable and the saturation parameters include before calculating provisional parameter：
Judge whether first difference parameter and the product of the saturation parameters are less than the brightness and second preset value
Product, if so, then triggering according to the brightness, first difference parameter, the goal discrepancy angle variable and the saturation degree
The step of parameter calculates provisional parameter.
10. a kind of image processing apparatus, it is characterised in that including：
Acquisition module, red component, green component, blue component for obtaining pending pixel；
Receiving module, for receiving colorimetric parameter and saturation parameters；
Computing module, it is described for according to the colorimetric parameter and the first preset value computation interval variable and declinate variable
Computing module is specifically for according to formula Δ h=(Δ i*m)+Δ f, computation interval variable Δ i and declinate variable Δ f；Wherein, institute
Δ f is stated less than or equal to the m, the Δ h is the colorimetric parameter, the m is the first preset value, it is the colorimetric parameter, full
It is integer with degree parameter, the first preset value, interval variable and declinate variable；
Computing module, for according to the red component, the green component, the blue component, first preset value, institute
State interval variable, the declinate variable and saturation parameters progress computing and obtain target interval variable and interim ginseng
Number；Wherein, the computing module is bright specifically for being determined according to the red component, the green component, the blue component
Degree and minimum component；According to the red component, the green component, the blue component, the brightness and it is described most
Small component calculates difference parameter collection, and the difference parameter collection includes the first difference parameter；According to the red component, the green
Component, the blue component, the difference parameter collection and first preset value calculate target interval parameter and goal discrepancy
Angle variable；Target interval variable is determined according to the target interval parameter；According to the brightness, first difference parameter, institute
State goal discrepancy angle variable and the saturation parameters calculate provisional parameter；
Shifting processing module, target component is obtained for carrying out dextroposition processing to the provisional parameter；
Determining module, for determining that target red component, target are green according to the target interval variable and the target component
Colouring component and target blue component；
Update module, for waiting to locate to described according to the target red component, target green component and target blue component
The color that reason pixel is shown is updated.
11. image processing apparatus according to claim 10, it is characterised in that the computing module is additionally operable to judge described
Whether the first difference parameter and the product of the saturation parameters are less than the brightness and the product of the second preset value, if so, then triggering
The computing module is according to the brightness, first difference parameter, the goal discrepancy angle variable and the saturation parameters
Calculate the provisional parameter.
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