CN105957037A - Image enhancing method and image enhancing device - Google Patents
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- G—PHYSICS
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Abstract
The invention discloses an image enhancing method and an image enhancing device, and belongs to the technical field of image processing. The image enhancing method comprises the following steps: for each color channel, determining a first gray value and a second gray value which are different according to the gray value of the color channel of each pixel in a target image; setting a mapping function corresponding to the color channel using the first gray value and the second gray value; and using the mapping function to adjust the gray value of the color channel of each pixel in the target image, wherein the variance of the gray value of the color channel of the target image after adjustment is greater than the variance of the gray value of the color channel of the target image before adjustment. The technical problem in the related technologies that the image enhancement effect is poor is solved, and the effect of image enhancement is improved.
Description
Technical field
It relates to technical field of image processing, particularly to a kind of image enchancing method and device.
Background technology
Image enhaucament is the basic mode of the visual effect improving image, generally by strengthening the contrast of image
Can enable a user to access more preferable visual effect.
General strengthen picture contrast is to utilize fixing mapping function to reflect the view data of image
Penetrate so that in image, the brightness in the region that brightness is relatively low is brought to lower, and the region that in image, brightness is higher is bright
Degree is brought to higher.
But the relatively low image overall brightness after treatment of overall brightness is lower, the image that overall brightness is higher
Overall brightness is higher after treatment, and the visuality of image reduces on the contrary, and image enhancement effects is poor.
Summary of the invention
The disclosure provides a kind of image enchancing method and device.Described technical scheme is as follows:
First aspect according to disclosure embodiment, it is provided that a kind of image enchancing method, described method includes:
For each Color Channel, determine according to the gray value of the described Color Channel of each pixel in target image
The first gray value that value is different and the second gray value；Utilize described first gray value and described second gray value
The mapping function corresponding with described Color Channel is set；Utilize described mapping function to each in described target image
The gray value of the described Color Channel of individual pixel is adjusted, the described color of the described target image after adjustment
The variance of the gray value of passage is more than the side of the gray value of the described Color Channel of the described target image before adjusting
Difference；By each Color Channel being carried out individual processing, generate and the mapping letter corresponding to each Color Channel
Number, utilizes this mapping function to be adjusted the gray value of this Color Channel of each pixel in target image,
The variance making the gray value of this Color Channel after adjusting is more than the gray value of this Color Channel before adjusting
Variance, enhances the contrast of target image, and the technology of image enhancement effects difference in correlation technique that solves is asked
Topic, improves image enhancement effects.
Optionally, described determining according to the gray value of the described Color Channel of each pixel in target image takes
It is worth the first different gray values and the second gray value, including: described in each pixel in described target image
The gray value of Color Channel is ranked up from high to low；The gray value of the first predetermined ratio before after sorting
Average is as described first gray value；Using the average of the gray value of rear second predetermined ratio after sequence as institute
State the second gray value；By the gray value of each Color Channel of each pixel is ranked up from high to low,
Before after sorting, the average of the gray value of the first predetermined ratio is as the first gray value so that the first gray value
The pixel that in this Color Channel, gray value is higher can be represented；Gray scale by rear second predetermined ratio after sequence
The average of value is as the second gray value so that it is relatively low that the second gray value can represent gray value in this Color Channel
Pixel.
Optionally, described determining according to the gray value of the described Color Channel of each pixel in target image takes
It is worth the first different gray values and the second gray value, including: described in each pixel in described target image
The gray value of Color Channel is ranked up from high to low；Using the n-th gray value as described first gray value,
Using m-th gray value as described second gray value, wherein, n < m；By by each picture in target image
The gray value of each Color Channel of element is ranked up, from high to low using the n-th gray value as the first gray scale
Value, using m-th gray value as the second gray value so that the first gray value can represent in this Color Channel
The pixel that gray value is higher, the second gray value can represent the pixel that in this Color Channel, gray value is relatively low.
Optionally, described mapping function P (x) is:
Wherein, x is the gray value of the described Color Channel of pixel in described target image, and N is described second ash
Angle value, M is described first gray value,A is less than described second gray value, and b is more than described the
One gray value；By utilizing mapping function to the gray value of the corresponding color passage of each pixel in target image
It is adjusted, strengthens the difference between different gray values in each Color Channel, to realize target image pair
Enhancing than degree.
Optionally, described a is 0, and described b is 255.
Optionally, described determining according to the gray value of the described Color Channel of each pixel in target image takes
It is worth the first different gray values and the second gray value, including: described target image is carried out down-sampled, according to
In described target image after down-sampled, the gray value of the described Color Channel of each pixel determines that value is different
The first gray value and the second gray value；Owing to the gray value of each Color Channel of the image after down-sampled is equal
Represent the average gray value of this Color Channel of down-sampled front corresponding region, therefore can be according to after down-sampled
In the target image of image, the gray value of the described Color Channel of each pixel determines the first ash that value is different
Angle value and the second gray value, and decrease the workload that the gray value to each Color Channel is ranked up.
Optionally, described method also includes: when described target image is not carried out the image of gray proces
Time, described Color Channel includes red channel, green channel and blue channel；When described target image is quilt
When carrying out the image of gray proces, described Color Channel only comprises a kind of Color Channel.
Second aspect according to disclosure embodiment, it is provided that a kind of image intensifier device, described device includes:
Determine module, be configured to for each Color Channel, according to the described color of each pixel in target image
The gray value of passage determines the first gray value and the second gray value that value is different；Module is set, is configured
For utilizing described first gray value to arrange the mapping letter corresponding with described Color Channel with described second gray value
Number；Adjusting module, is configured to, with described mapping function to described in each pixel in described target image
The gray value of Color Channel is adjusted, the gray value of the described Color Channel of the described target image after adjustment
Variance more than the variance of gray value of the described Color Channel of the described target image before adjusting.
Alternatively, described determine module, including: the first sorting sub-module, it is configured to described target figure
In Xiang, the gray value of the described Color Channel of each pixel is ranked up from high to low；First arranges submodule,
Before after being configured to sort, the average of the gray value of the first predetermined ratio is as described first gray value；The
Two arrange submodule, and the average of the gray value of rear second predetermined ratio after being configured to sequence is as described
Second gray value.
Alternatively, described determine module, also include: the 3rd arranges submodule, be configured to the n-th ash
Angle value is as described first gray value, using m-th gray value as described second gray value, wherein, n < m.
Alternatively, described mapping function P (x) is:
Wherein, x is the gray value of the described Color Channel of pixel in described target image, and N is described second ash
Angle value, M is described first gray value,A is less than described second gray value, and b is more than described the
One gray value.
Alternatively, described a is 0, and described b is 255.
Alternatively, described determine module, be additionally configured to carry out down-sampled to described target image, according to fall
In described target image after sampling, the gray value of the described Color Channel of each pixel determines that value is different
First gray value and the second gray value.
Alternatively, when described target image is not carried out the image of gray proces, described Color Channel
Including red channel, green channel and blue channel；When described target image is to be carried out gray proces
During image, described Color Channel only comprises a kind of Color Channel.
The third aspect according to disclosure embodiment, it is provided that a kind of image intensifier device, described device includes:
Processor；For storing the memorizer of described processor executable；Wherein, described processor is configured
For: for each Color Channel, true according to the gray value of the described Color Channel of each pixel in target image
Make the first different gray value of value and the second gray value；Utilize described first gray value and described second ash
Angle value arranges the mapping function corresponding with described Color Channel；Utilize described mapping function to described target image
In the gray value of described Color Channel of each pixel be adjusted, the described target image after adjustment described
The variance of the gray value of Color Channel is more than the gray value of the described Color Channel of the described target image before adjusting
Variance.
It should be appreciated that it is only exemplary that above general description and details hereinafter describe, can not
Limit the disclosure.
Accompanying drawing explanation
Accompanying drawing herein is merged in description and constitutes the part of this specification, it is shown that meet the disclosure
Embodiment, and in description together for explaining the principle of the disclosure.
Fig. 1 is the flow chart according to a kind of image enchancing method shown in an exemplary embodiment；
Fig. 2 A is the flow chart according to a kind of image enchancing method shown in another exemplary embodiment；
Fig. 2 B be according to the one shown in an exemplary embodiment, target image is carried out image enhaucament before and strengthen
After effect contrast figure；
Fig. 3 is the block diagram according to a kind of image intensifier device shown in an exemplary embodiment；
Fig. 4 is the block diagram according to a kind of image intensifier device shown in another exemplary embodiment；
Fig. 5 is the block diagram according to a kind of device for image enhaucament shown in an exemplary embodiment.
Detailed description of the invention
Here will illustrate exemplary embodiment in detail, its example represents in the accompanying drawings.Following retouches
Stating when relating to accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represents same or analogous key element.
Embodiment described in following exemplary embodiment does not represent all embodiment party consistent with the disclosure
Formula.On the contrary, they only with describe in detail in appended claims, the disclosure some in terms of mutually one
The example of the apparatus and method caused.
Fig. 1 is the flow chart according to a kind of image enchancing method shown in an exemplary embodiment, and this image increases
Strong method can include following several step.
In step 101, for each Color Channel, according to this Color Channel of each pixel in target image
Gray value determine the first gray value and the second gray value that value is different.
In step 102, utilize the first gray value and the second gray value that the mapping corresponding with this Color Channel is set
Function.
In step 103, utilize mapping function to the gray value of this Color Channel of each pixel in target image
Being adjusted, the variance of the gray value of this Color Channel of the target image after adjustment is more than the target before adjusting
The variance of the gray value of this Color Channel of image.
In sum, the image enchancing method provided in disclosure embodiment, by entering each Color Channel
Row individual processing, generates and the mapping function corresponding to each Color Channel, utilizes this mapping function to target
In image, the gray value of this Color Channel of each pixel is adjusted so that this Color Channel after adjustment
The variance of gray value, more than the variance of the gray value of this Color Channel before adjusting, enhances the right of target image
Ratio degree, solves the technical problem of image enhancement effects difference in correlation technique, improves image enhancement effects.
Each image has one or more Color Channel.When this target image was not for be carried out gray proces
Image time, the Color Channel of this target image includes red channel, green channel and blue channel.When this
When target image is to be carried out the image of gray proces, the Color Channel of this target image only comprises a kind of face
Chrominance channel, and this Color Channel is white channel.The disclosure when target image is carried out image enhancement processing,
Each Color Channel for this image individually processes.
Fig. 2 A is the flow chart according to a kind of image enchancing method shown in another exemplary embodiment, this image
Enhancement Method can include following several step.
In step 201, for each Color Channel, by this Color Channel of each pixel in target image
Gray value is ranked up from high to low.
Generally, the color gone out shown by each pixel in image is the color in all passages of this pixel
Superposition generates, and can generate various colors by changing the gray value of each Color Channel.Here institute
The gray value said is used to indicate that the brightness of this color, namely this gradation of color.
In general, gray value is quantified as 256 gray levels, and the span of gray value is 0～255,
Representing the brightness of this color from low to high, color is from shallow to deep.Such as, the redness of white pixel is shown
The gray value of passage is 255, and the gray value of green channel is 255, and the gray value of blue channel is 255.Again
Such as, the gray value of the red channel of the display pixel in black is 0, and the gray value of green channel is 0, blue
The gray value of chrominance channel is 0；For another example, the gray value of the red channel of the pixel that display takes on a red color is 255,
The gray value of green channel is 0, and the gray value of blue channel is 0.
In this step, the gray value of each Color Channel of each pixel in target image is carried out from high to low
Sequence, in order to subsequent process therefrom determines the first gray value and the second gray value according to clooating sequence.
In step 202, will after sequence before the average of gray value of the first predetermined ratio as the first gray value,
Using the average of the gray value of rear second predetermined ratio after sequence as the second gray value.
The concrete numerical value of the first predetermined ratio and the second predetermined ratio is not especially limited by the present embodiment, can root
Determine according to practical situation.It should be noted is that, the first predetermined ratio and the second predetermined ratio can be phase
Same numerical value, it is possible to for the numerical value differed.Additionally, the first gray value is typically larger than the second gray value.
For example, the first predetermined ratio and the second predetermined ratio are 10, then calculate sequence front
The average of the gray value in 10 is 230, then the first gray value is set to 230, calculates sequence in position, end
The average of the gray value in 10 is 15, then the second gray value is for being set to 15.
In step 203, using the n-th gray value as the first gray value, using m-th gray value as
Two gray values, wherein, n < m.
The concrete numerical value of m and n is not construed as limiting by the present embodiment, can determine according to practical situation.Such as, when
When having 400 pixels in this image, n can be set to 5, m is set to 395；For another example, when this picture
When having 800 pixels in element, n is set to 20, m is set to 780.
It should be noted is that, varied to the value mode of the first gray value and the second gray value, but
Follow the first gray value can to represent in target image gray value in this Color Channel higher when carrying out value
Pixel, the second gray value can represent the principle of the pixel that gray value is relatively low in target image this Color Channel interior.
In step 204, utilize the first gray value and the second gray value that the mapping corresponding with this Color Channel is set
Function, utilizes mapping function to be adjusted the gray value of this Color Channel of each pixel in target image.
Wherein, mapping function P (x) is:
Wherein, x is the gray value of the described Color Channel of pixel in target image, and N is the second gray value, M
It is the first gray value,A is less than the second gray value, and b is more than the first gray value.
In general, the picture that in the second gray value can represent target image, in this Color Channel, gray value is relatively low
Element.In order to increase the contrast of this Color Channel of image, the gray value of this Color Channel is less than the second gray scale
When the gray value of the pixel of value is adjusted, adjust unified for the gray value of these pixels to a, a less than second
Gray value.Preferably, a is 0, also the gray value of these pixels will directly be adjusted to minimum 0.
Equally, the pixel that in the first gray value can represent target image, in this Color Channel, gray value is higher.
In order to increase the contrast of this Color Channel of image, the gray value of this Color Channel is higher than the first gray value
When the gray value of pixel is adjusted, adjust unified for the gray value of these pixels to b, b more than the first gray scale
Value.Preferably, b is 255, also will the gray value of these pixels directly be adjusted to the highest by 255.
For gray value pixel between the first gray value and the second gray value, its gray value is being adjusted
The difference between different gray value is strengthened time whole.For example, a is 0, and b is 255, the first gray value N
Being 25, the second gray value is 15.The gray value of pixel A is 16, and the gray value of pixel B is 18, then adjust
The gray value of the pixel A after whole is 51, and the gray value of the pixel B after adjustment is 153.Adjust preceding pixel A
With adjust preceding pixel B difference be 1, after adjustment pixel A with adjust after pixel B difference be 102.
The most for example, a is 0, and b is 255, and the first gray value N is 240, and the second gray value is 235.
The gray value of pixel A is 236, and the gray value of pixel B is 238, then the gray value of the pixel A after adjusting
Being 51, the gray value of the pixel B after adjustment is 153.Adjust preceding pixel A and the difference adjusting preceding pixel B
Be 1, after adjustment pixel A with adjust after pixel B difference be 102.
As can be seen here, before the variance of the gray value of this Color Channel of the target image after adjustment is more than adjusting
The variance of the gray value of this Color Channel of target image.
It should be noted is that, after each Color Channel of target image is respectively processed, image
Contrast strengthen, enhance visuality.Fig. 2 B is to target according to the one shown in an exemplary embodiment
Image carries out before image enhaucament and enhanced effect contrast figure, if Fig. 2 B (1) is not carry out image enhaucament
One target image, is carried out this target image shown in the design sketch such as Fig. 2 B (2) after image enhaucament.
In sum, the image enchancing method provided in disclosure embodiment, by entering each Color Channel
Row individual processing, generates and the mapping function corresponding to each Color Channel, utilizes this mapping function to target
In image, the gray value of this Color Channel of each pixel is adjusted so that this Color Channel after adjustment
The variance of gray value, more than the variance of the gray value of this Color Channel before adjusting, enhances the right of target image
Ratio degree, solves the technical problem of image enhancement effects difference in correlation technique, improves image enhancement effects.
It addition, by the gray value of each Color Channel of each pixel is ranked up from high to low, will row
The average of the gray value of front first predetermined ratio after sequence is as the first gray value so that the first gray value can
Represent the pixel that in this Color Channel, gray value is higher；By the gray value of rear second predetermined ratio after sequence
Average is as the second gray value so that the second gray value can represent the picture that in this Color Channel, gray value is relatively low
Element.
It addition, by the gray value of each Color Channel of each pixel in target image is carried out from high to low
Sequence, using the n-th gray value as the first gray value, using m-th gray value as the second gray value, makes
Obtaining the first gray value and can represent the pixel that in this Color Channel, gray value is higher, the second gray value can represent
The pixel that in this Color Channel, gray value is relatively low.
It addition, by utilizing mapping function to the gray value of the corresponding color passage of each pixel in target image
It is adjusted, strengthens the difference between different gray values in each Color Channel, to realize target image pair
Enhancing than degree.
It addition, down-sampled obtain reference picture, to each pixel in reference picture by target image is carried out
The gray value of each Color Channel be ranked up from high to low, the less gray value to Color Channel is carried out
The workload of sequence.
It addition, the image enchancing method that the present embodiment provides is applied widely, improve image enchancing method
Versatility.
Alternatively, in order to improve the efficiency of image enhaucament, determining that the first gray value and the second gray value also may be used
To obtain in the following manner: target image is carried out down-sampled, according to each in the target image after down-sampled
The gray value of this Color Channel of individual pixel determines the first gray value and the second gray value that value is different.
Owing to the gray value of each Color Channel of the image after down-sampled all represents down-sampled front corresponding region
The average gray value of this Color Channel, the most down-sampled after the feature of this Color Channel still can represent
The feature of this Color Channel before down-sampled.
Concrete, refer to when determining the first gray value and the second gray value that value is different step 201 to
Step 203, this repeats no more.
Following for disclosure device embodiment, may be used for performing method of disclosure embodiment.For the disclosure
The details not disclosed in device embodiment, refer to method of disclosure embodiment.
Fig. 3 is the block diagram according to a kind of image intensifier device shown in an exemplary embodiment, this image enhaucament
Device may include that and determines module 310, arranges module 320 and adjusting module 330.
Determine module 310, be configured to for each Color Channel, according in target image each pixel should
The gray value of Color Channel determines the first gray value and the second gray value that value is different.
Module 320 is set, is configured to, with determining the first gray value that module 310 determines and determines mould
The second gray value that block 310 is determined arranges the mapping function corresponding with this Color Channel；
Adjusting module 330, is configured to, with the mapping function arranging module 320 setting to each in target image
The gray value of this Color Channel of individual pixel is adjusted, the ash of this Color Channel of the target image after adjustment
The variance of angle value is more than the variance of the gray value of this Color Channel of the target image before adjusting.
In sum, the image intensifier device provided in disclosure embodiment, by entering each Color Channel
Row individual processing, generates and the mapping function corresponding to each Color Channel, utilizes this mapping function to target
In image, the gray value of this Color Channel of each pixel is adjusted so that this Color Channel after adjustment
The variance of gray value, more than the variance of the gray value of this Color Channel before adjusting, enhances the right of target image
Ratio degree, solves the technical problem of image enhancement effects difference in correlation technique, improves image enhancement effects.
Fig. 4 is the block diagram according to a kind of image intensifier device shown in another exemplary embodiment, and this image increases
Intensity device may include that and determines module 410, arranges module 420 and adjusting module 430.
Determine module 410, be configured to for each Color Channel, according in target image each pixel should
The gray value of Color Channel determines the first gray value and the second gray value that value is different.
Generally, the color gone out shown by each pixel in image is the color in all passages of this pixel
Superposition generates, and can generate various colors by changing the gray value of each Color Channel.Here institute
The gray value said is used to indicate that the brightness of this color, namely this gradation of color.In general, will
Gray value is quantified as 256 gray levels, and the span of gray value is 0～255, represents the brightness of this color
From low to high, color is from shallow to deep.
Module 420 is set, is configured to, with determining the first gray value that module 410 determines and determines mould
The second gray value that block 410 is determined arranges the mapping function corresponding with this Color Channel；
Adjusting module 430, is configured to, with the mapping function arranging module 420 setting to each in target image
The gray value of this Color Channel of individual pixel is adjusted, the ash of this Color Channel of the target image after adjustment
The variance of angle value is more than the variance of the gray value of this Color Channel of the target image before adjusting.
In general, the picture that in the second gray value can represent target image, in this Color Channel, gray value is relatively low
Element.In order to increase the contrast of this Color Channel of image, the gray value of this Color Channel is less than the second gray scale
When the gray value of the pixel of value is adjusted, adjust unified for the gray value of these pixels to a, a less than second
Gray value.Preferably, a is 0, also the gray value of these pixels will directly be adjusted to minimum 0.
Equally, the pixel that in the first gray value can represent target image, in this Color Channel, gray value is higher.
In order to increase the contrast of this Color Channel of image, the gray value of this Color Channel is higher than the first gray value
When the gray value of pixel is adjusted, adjust unified for the gray value of these pixels to b, b more than the first gray scale
Value.Preferably, b is 255, also will the gray value of these pixels directly be adjusted to the highest by 255.
For gray value pixel between the first gray value and the second gray value, its gray value is being adjusted
The difference between different gray value is strengthened time whole.
Optionally it is determined that module 410, including: the first sorting sub-module 410a, first submodule 410b is set
Submodule 410c is set with second.
First sorting sub-module 410a, is configured to the ash of this Color Channel of each pixel in target image
Angle value is ranked up from high to low.
First arranges submodule 410b, is configured to before after the first sorting sub-module 410a sequence the
The average of the gray value of one predetermined ratio is as the first gray value.
Second arranges submodule 410c, is configured to after after the first sorting sub-module 410a sequence the
The average of the gray value of two predetermined ratios is as the second gray value.
The concrete numerical value of the first predetermined ratio and the second predetermined ratio is not especially limited by the present embodiment, can root
Determine according to practical situation.It should be noted is that, the first predetermined ratio and the second predetermined ratio can be phase
Same numerical value, it is possible to for the numerical value differed.Additionally, the first gray value is typically larger than the second gray value.
Optionally it is determined that module 410, also include: the 3rd arranges submodule 410d.
Alternatively, the 3rd arranges submodule 410d, is configured to the n-th gray value as the first gray value,
Using m-th gray value as the second gray value, wherein, n < m.
The concrete numerical value of m and n is not construed as limiting by the present embodiment, can determine according to practical situation.
Optionally, mapping function P (x) is:
Wherein, x is the gray value of the Color Channel of pixel in target image, and N is the second gray value, and M is
One gray value,A is less than the second gray value, and b is more than the first gray value.
Optionally, a is 0, and b is 255.
Optionally, determine module 410, be additionally configured to carry out down-sampled to target image, after down-sampled
Target image in the gray value of this Color Channel of each pixel determine the first gray value that value is different and
Second gray value.
Owing to the gray value of each Color Channel of the image after down-sampled all represents down-sampled front corresponding region
The average gray value of this Color Channel, the most down-sampled after the feature of this Color Channel still can represent
The feature of this Color Channel before down-sampled.
Optionally, when target image is not carried out the image of gray proces, above-mentioned Color Channel includes
Red channel, green channel and blue channel；When target image is to be carried out the image of gray proces,
Above-mentioned Color Channel only comprises a kind of Color Channel.
It should be noted is that, varied to the value mode of the first gray value and the second gray value, but
Follow the first gray value can to represent in target image gray value in this Color Channel higher when carrying out value
Pixel, the second gray value can represent the principle of the pixel that gray value is relatively low in target image this Color Channel interior.
In sum, the image intensifier device provided in disclosure embodiment, by entering each Color Channel
Row individual processing, generates and the mapping function corresponding to each Color Channel, utilizes this mapping function to target
In image, the gray value of this Color Channel of each pixel is adjusted so that this Color Channel after adjustment
The variance of gray value, more than the variance of the gray value of this Color Channel before adjusting, enhances the right of target image
Ratio degree, solves the technical problem of image enhancement effects difference in correlation technique, improves image enhancement effects.
It addition, by the gray value of each Color Channel of each pixel is ranked up from high to low, will row
The average of the gray value of front first predetermined ratio after sequence is as the first gray value so that the first gray value can
Represent the pixel that in this Color Channel, gray value is higher；By the gray value of rear second predetermined ratio after sequence
Average is as the second gray value so that the second gray value can represent the picture that in this Color Channel, gray value is relatively low
Element.
It addition, by the gray value of each Color Channel of each pixel in target image is carried out from high to low
Sequence, using the n-th gray value as the first gray value, using m-th gray value as the second gray value, makes
Obtaining the first gray value and can represent the pixel that in this Color Channel, gray value is higher, the second gray value can represent
The pixel that in this Color Channel, gray value is relatively low.
It addition, by utilizing mapping function to the gray value of the corresponding color passage of each pixel in target image
It is adjusted, strengthens the difference between different gray values in each Color Channel, to realize target image pair
Enhancing than degree.
It addition, down-sampled obtain reference picture, to each pixel in reference picture by target image is carried out
The gray value of each Color Channel be ranked up from high to low, the less gray value to Color Channel is carried out
The workload of sequence.
It addition, the image enchancing method that the present embodiment provides is applied widely, improve image enchancing method
Versatility.
The disclosure one exemplary embodiment provides a kind of image intensifier device, it is possible to realize what the disclosure provided
Image enchancing method, this image intensifier device includes: processor, for storing processor executable
Memorizer；
Wherein, processor is configured to:
For each Color Channel, determine according to the gray value of this Color Channel of each pixel in target image
Go out the first different gray value of value and the second gray value；
Utilize the first gray value and the second gray value that the mapping function corresponding with this Color Channel is set.
Utilize this mapping function that the gray value of this Color Channel of each pixel in target image is adjusted,
The variance of the gray value of this Color Channel of the target image after adjustment is more than this face of the target image before adjusting
The variance of the gray value of chrominance channel.
Fig. 5 is the block diagram according to a kind of device for image enhaucament shown in an exemplary embodiment.Such as,
Device 500 can be mobile phone, computer, digital broadcast terminal, messaging devices, and game controls
Platform, tablet device, armarium, body-building equipment, personal digital assistant etc..
With reference to Fig. 5, device 500 can include following one or more assembly: processes assembly 502, memorizer
504, power supply module 506, multimedia groupware 508, audio-frequency assembly 510, the interface of input/output (I/O)
512, sensor cluster 514, and communications component 516.
Process assembly 502 and generally control the integrated operation of device 500, such as with display, call, number
The operation being associated according to communication, camera operation and record operation.Process assembly 502 and can include one or many
Individual processor 520 performs instruction, to complete all or part of step of above-mentioned method.Additionally, process
Assembly 502 can include one or more module, it is simple to process between assembly 502 and other assemblies is mutual.
Such as, process assembly 502 and can include multi-media module, to facilitate multimedia groupware 508 and to process assembly
Mutual between 502.
Memorizer 504 is configured to store various types of data to support the operation at device 500.These
The example of data includes any application program for operating on device 500 or the instruction of method, contact person
Data, telephone book data, message, picture, video etc..Memorizer 504 can be by any kind of volatile
Property or non-volatile memory device or combinations thereof realize, such as static RAM (SRAM),
Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM),
Programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory,
Disk or CD.
The various assemblies that power supply module 506 is device 500 provide electric power.Power supply module 506 can include electricity
Management system, one or more power supplys, and other generate, manage and distribute electric power phase with for device 500
The assembly of association.
The screen of one output interface of offer that multimedia groupware 508 is included between described device 500 and user
Curtain.In certain embodiments, screen can include liquid crystal display (LCD) and touch panel (TP).As
Really screen includes that touch panel, screen may be implemented as touch screen, to receive the input signal from user.
Touch panel includes that one or more touch sensor is with the gesture on sensing touch, slip and touch panel.
Described touch sensor can not only sense touch or the border of sliding action, but also detects and described touch
Or slide relevant persistent period and pressure.In certain embodiments, multimedia groupware 508 includes one
Individual front-facing camera and/or post-positioned pick-up head.When device 500 is in operator scheme, such as screening-mode or video
During pattern, front-facing camera and/or post-positioned pick-up head can receive the multi-medium data of outside.Each preposition take the photograph
As head and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom energy
Power.
Audio-frequency assembly 510 is configured to output and/or input audio signal.Such as, audio-frequency assembly 510 includes
One mike (MIC), when device 500 is in operator scheme, such as call model, logging mode and voice
During recognition mode, mike is configured to receive external audio signal.The audio signal received can be entered
One step is stored in memorizer 504 or sends via communications component 516.In certain embodiments, audio-frequency assembly
510 also include a speaker, are used for exporting audio signal.
I/O interface 512 provides interface, above-mentioned peripheral interface for processing between assembly 502 and peripheral interface module
Module can be keyboard, puts striking wheel, button etc..These buttons may include but be not limited to: home button, sound
Amount button, start button and locking press button.
Sensor cluster 514 includes one or more sensor, for providing various aspects for device 500
State estimation.Such as, what sensor cluster 514 can detect device 500 opens/closed mode, assembly
Relative localization, the most described assembly is display and the keypad of device 500, and sensor cluster 514 is also
Device 500 or the position change of 500 1 assemblies of device, user and depositing that device 500 contacts can be detected
Or do not exist, device 500 orientation or acceleration/deceleration and the variations in temperature of device 500.Sensor cluster 514
Proximity transducer can be included, be configured to when there is no any physical contact depositing of object near detection
?.Sensor cluster 514 can also include optical sensor, such as CMOS or ccd image sensor, is used for
Imaging applications uses.In certain embodiments, this sensor cluster 514 can also include that acceleration passes
Sensor, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 516 is configured to facilitate the logical of wired or wireless mode between device 500 and other equipment
Letter.Device 500 can access wireless network based on communication standard, such as WiFi, 2G or 3G, or they
Combination.In one exemplary embodiment, communications component 516 receives wide from outside via broadcast channel
The broadcast singal of broadcast management system or broadcast related information.In one exemplary embodiment, described communication set
Part 516 also includes near-field communication (NFC) module, to promote junction service.Such as, can in NFC module
Based on RF identification (RFID) technology, Infrared Data Association (IrDA) technology, ultra broadband (UWB) skill
Art, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 500 can by one or more application specific integrated circuits (ASIC),
Digital signal processor (DSP), digital signal processing appts (DSPD), PLD (PLD),
Field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are real
Existing, it is used for performing image enhaucament said method.
In the exemplary embodiment, a kind of non-transitory computer-readable storage medium including instruction is additionally provided
Matter, such as, include the memorizer 504 of instruction, and above-mentioned instruction can be performed by the processor 520 of device 500 with complete
Become above-mentioned image enchancing method.Such as, described non-transitory computer-readable recording medium can be ROM,
Random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc..
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is by device 500
Processor perform time so that device 500 is able to carry out the step shown in Fig. 1, Fig. 2 A.
Those skilled in the art, after considering description and putting into practice invention disclosed herein, will readily occur to these public affairs
Other embodiment opened.The application is intended to any modification, purposes or the adaptations of the disclosure,
These modification, purposes or adaptations are followed the general principle of the disclosure and include that the disclosure is not disclosed
Common knowledge in the art or conventional techniques means.Description and embodiments is considered only as exemplary
, the true scope of the disclosure and spirit are pointed out by claim below.
It should be appreciated that the disclosure is not limited to accurate knot described above and illustrated in the accompanying drawings
Structure, and various modifications and changes can carried out without departing from the scope.The scope of the present disclosure is only by appended
Claim limits.
Claims (15)
1. an image enchancing method, it is characterised in that described method includes:
For each Color Channel, true according to the gray value of the described Color Channel of each pixel in target image
Make the first different gray value of value and the second gray value；
Utilize described first gray value that the mapping letter corresponding with described Color Channel is set with described second gray value
Number；
Utilize described mapping function that the gray value of the described Color Channel of each pixel in described target image is entered
Row sum-equal matrix, before the variance of the gray value of the described Color Channel of the described target image after adjustment is more than adjusting
The variance of the gray value of the described Color Channel of described target image.
Method the most according to claim 1, it is characterised in that described according to each picture in target image
The gray value of the described Color Channel of element determines the first gray value and the second gray value that value is different, including:
The gray value of the described Color Channel of each pixel in described target image is ranked up from high to low；
Before after sorting, the average of the gray value of the first predetermined ratio is as described first gray value；
Using the average of the gray value of rear second predetermined ratio after sequence as described second gray value.
Method the most according to claim 1, it is characterised in that described according to each picture in target image
The gray value of the described Color Channel of element determines the first gray value and the second gray value that value is different, including:
The gray value of the described Color Channel of each pixel in described target image is ranked up from high to low；
Using the n-th gray value as described first gray value, using m-th gray value as described second gray scale
Value, wherein, n < m.
Method the most according to claim 1, it is characterised in that
Described mapping function P (x) is:
Wherein, x is the gray value of the described Color Channel of pixel in described target image, and N is described second ash
Angle value, M is described first gray value,A is less than described second gray value, and b is more than described the
One gray value.
Method the most according to claim 4, it is characterised in that described a is 0, described b is 255.
Method the most according to claim 1, it is characterised in that described according to each picture in target image
The gray value of the described Color Channel of element determines the first gray value and the second gray value that value is different, including:
Described target image is carried out down-sampled, according to each pixel in the described target image after down-sampled
The gray value of described Color Channel determines the first gray value and the second gray value that value is different.
7. according to described method arbitrary in claim 1 to 6, it is characterised in that described method also includes:
When described target image is not carried out the image of gray proces, described Color Channel includes redness
Passage, green channel and blue channel；
When described target image is to be carried out the image of gray proces, described Color Channel only comprises one
Color Channel.
8. an image intensifier device, it is characterised in that described device includes:
Determine module, be configured to for each Color Channel, according to each pixel in target image
The gray value of Color Channel determines the first gray value and the second gray value that value is different；
Module is set, is configured to, with described determining the first gray value that module determines and described determining mould
The second gray value that block is determined arranges the mapping function corresponding with described Color Channel；
Adjusting module, is configured to, with the described mapping function of module setting that arranges in described target image
The gray value of the described Color Channel of each pixel is adjusted, the described face of the described target image after adjustment
The variance of the gray value of chrominance channel is more than the gray value of the described Color Channel of the described target image before adjusting
Variance.
Device the most according to claim 8, it is characterised in that described determine module, including:
First sorting sub-module, is configured to the described Color Channel of each pixel in described target image
Gray value is ranked up from high to low；
First arranges submodule, is configured to first pre-before after described first sorting sub-module sequence
The average of the gray value of certainty ratio is as described first gray value；
Second arranges submodule, is configured to second pre-after after described first sorting sub-module sequence
The average of the gray value of certainty ratio is as described second gray value.
Device the most according to claim 8, it is characterised in that described determine module, also includes:
3rd arranges submodule, is configured to the n-th gray value as described first gray value, by m
Individual gray value is as described second gray value, wherein, n < m.
11. devices according to claim 8, it is characterised in that
Described mapping function P (x) is:
Wherein, x is the gray value of the described Color Channel of pixel in described target image, and N is described second ash
Angle value, M is described first gray value,A is less than described second gray value, and b is more than described the
One gray value.
12. devices according to claim 11, it is characterised in that described a is 0, described b is 255.
13. devices according to claim 8, it is characterised in that described determine module, are also configured
For described target image is carried out down-sampled, according to the institute of each pixel in the described target image after down-sampled
The gray value stating Color Channel determines the first gray value and the second gray value that value is different.
14. according to Claim 8 to described device arbitrary in 13, it is characterised in that when described target figure
As for do not carried out the image of gray proces time, described Color Channel include red channel, green channel and
Blue channel；When described target image is to be carried out the image of gray proces, described Color Channel only wraps
Containing a kind of Color Channel.
15. 1 kinds of image intensifier devices, it is characterised in that described device includes:
Processor；
For storing the memorizer of described processor executable；
Wherein, described processor is configured to:
For each Color Channel, true according to the gray value of the described Color Channel of each pixel in target image
Make the first different gray value of value and the second gray value；
Utilize described first gray value that the mapping letter corresponding with described Color Channel is set with described second gray value
Number；
Utilize described mapping function that the gray value of the described Color Channel of each pixel in described target image is entered
Row sum-equal matrix, before the variance of the gray value of the described Color Channel of the described target image after adjustment is more than adjusting
The variance of the gray value of the described Color Channel of described target image.
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