CN105427256B - A kind of infrared image enhancing method and device - Google Patents
A kind of infrared image enhancing method and device Download PDFInfo
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Abstract
The present invention provides a kind of infrared image enhancing method and device, this method include：Count the grey level histogram of original infrared image；For each rank gray level for meeting interception condition in grey level histogram, the pixel number that the gray level is intercepted is determined；The pixel number that determining each rank gray level is intercepted is added, the pixel sum being intercepted as grey level histogram；For each rank gray level that interception condition is unsatisfactory in grey level histogram, according to the pixel number of the gray level, the sum of the gray level exponent number that is unsatisfactory for interception condition, the pixel of each rank gray level for being unsatisfactory for interception condition and the pixel sum being intercepted, the pixel number of the gray level is updated, and according to updated pixel number, infrared image is enhanced.The present invention is updated for the pixel number of each rank gray level for being unsatisfactory for interception condition, can so that infrared image enhancement effect is more preferable.
Description
Technical field
The present invention relates to technical field of image processing more particularly to a kind of infrared image enhancing methods and device.
Background technology
Infrared imagery technique refers to and the sightless infra-red radiation that target generates is converted into what visible images were shown
Technology.Infrared imaging has the advantages of propagation distance is long, can penetrate smog, can work in daytime, night and adverse circumstances,
The fields such as infrared guidance, night vision, industrial detection and infrared measurement of temperature are widely used.Since infrared detector utilizes mesh
It marks and is imaged with the radiation difference of background, obtained infrared image has the shortcomings that poor contrast, therefore utilizes infrared figure
Image intensifying technology enhances the contrast of infrared image.
The infrared image enhancement mode used at present to realize enhancing to infrared image by infrared image balancing technique,
Specially：Obtain original infrared image；Using gray level as abscissa, unite per the corresponding pixel number of rank gray level for ordinate
Count original image histogram；For every rank gray level in original image histogram, the corresponding original image of the gray level is obtained
Pixel number, if the pixel number is more than first threshold, the corresponding pixel number of the gray level is updated to the
One threshold value；If the pixel number is less than second threshold, the corresponding pixel number of the gray level is updated to second threshold；
If the pixel number is between first threshold and second threshold, the corresponding pixel number of the gray level is constant, that is, root
According to the original histogram of original infrared image, first threshold and second threshold, to being corresponded in original histogram per rank gray level
Pixel number be updated, updated pixel number H (r corresponding per rank gray levelk) calculation formula it is as follows：
Wherein, k is any gray level inside all gray levels, and L is gray level sum, and T1 is first threshold, T2 the
Two threshold values, T1 are more than T2, h (rk) it is the corresponding original image vegetarian refreshments number of kth rank gray level.
But the method for this image enhancement in the range of first threshold and second threshold original image vegetarian refreshments number do not do
Any processing so that the corresponding infrared image region in the part, which is difficult to obtain, most directly to enhance, so as to which infrared image be brought to increase
The problem of potent fruit is poor.
Invention content
The present invention provides a kind of infrared image enhancing method and device, to solve the infrared image enhancement side of the prior art
The problem of infrared image enhancement effect is poor caused by formula.
A kind of infrared image enhancing method, including：
Count the grey level histogram of original infrared image；
For each rank gray level for meeting interception condition in the grey level histogram, the pixel that the gray level is intercepted is determined
Point number；
The pixel number that determining each rank gray level is intercepted is added, the picture being intercepted as the grey level histogram
Vegetarian refreshments sum；
For each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to the pixel of the gray level
Number, the gray level exponent number for being unsatisfactory for interception condition, the sum of pixel of each rank gray level for being unsatisfactory for interception condition and described
The pixel sum being intercepted, is updated the pixel number of the gray level, and according to updated pixel number, right
The infrared image is enhanced.
In the method, according to the pixel number of the gray level, the gray level exponent number that is unsatisfactory for interception condition, it is unsatisfactory for
The sum of pixel of each rank gray level of interception condition and the pixel sum being intercepted, to the pixel of the gray level
Number is updated, and is specifically included：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for
Interception condition, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent kth rank gray level picture
Vegetarian refreshments number, P1 expression be intercepted pixel sum, P2 it is with thumb down foot interception condition each rank gray level pixel it
With, the gray level exponent number of P3 foot interception conditions with thumb down, the constant of α and β respectively less than 1 more than 0.
In the method, meet the gray level of interception condition for pixel number be more than first threshold gray level and,
Pixel number is less than the gray level of second threshold, wherein, first threshold is more than second threshold.
The method determines the pixel number that the gray level is intercepted, specifically includes：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts the first threshold
It is worth the difference of gained, the pixel number being intercepted as the gray level；
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold
It is worth the difference of gained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
The embodiment of the present invention is by setting each threshold value, the pixel that is intercepted in the gray level for determining to meet interception condition
Number.
The method further includes：
It is more than the gray level of first threshold for pixel number, the pixel number of the gray level is updated to the first threshold
Value；
It is less than the gray level of second threshold for pixel number, the pixel number of the gray level is updated to third threshold
Value, the second threshold are more than third threshold value.
In the embodiment of the present invention, every rank gray level of first threshold is more than for pixel number in grey level histogram, it will
The pixel number of the gray level is reduced to first threshold；It is less than the every of second threshold for pixel number in grey level histogram
The pixel number of the gray level is reduced to third threshold value, can remove making an uproar in original infrared image in this way by rank gray level
Sound point, in case these noise spots influence the effect of image enhancement.
The present invention also provides a kind of infrared image enhancement device, including：
Statistic unit, for counting the grey level histogram of original infrared image；
First determination unit, for being directed to each rank gray level for meeting interception condition in the grey level histogram, determining should
The pixel number that gray level is intercepted；
Second determination unit, the pixel number for each rank gray level determined to be intercepted is added, as the ash
The pixel sum that degree histogram is intercepted；
Updating unit, for being directed to each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to the ash
Spend grade pixel number, be unsatisfactory for interception condition gray level exponent number, be unsatisfactory for interception condition each rank gray level pixel
Point the sum of and it is described be intercepted pixel sum, the pixel number of the gray level is updated, and according to update after
Pixel number, the infrared image is enhanced.
In described device, the updating unit using equation below according to the pixel number of the gray level, be unsatisfactory for cutting
Take the sum of the gray level exponent number of condition, the pixel of each rank gray level for being unsatisfactory for interception condition and the pixel being intercepted
Point sum, is updated the pixel number of the gray level：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for
Interception condition, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent kth rank gray level picture
Vegetarian refreshments number, P1 expression be intercepted pixel sum, P2 it is with thumb down foot interception condition each rank gray level pixel it
With, the gray level exponent number of P3 foot interception conditions with thumb down, the constant of α and β respectively less than 1 more than 0.
Described device, meet the gray level of interception condition for pixel number be more than first threshold gray level and, as
Vegetarian refreshments number is less than the gray level of second threshold, wherein, first threshold is more than second threshold.
In described device, first determination unit is specific to use when determining pixel number that the gray level is intercepted
In：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts the first threshold
It is worth the difference of gained, the pixel number being intercepted as the gray level；
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold
It is worth the difference of gained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
In described device, the updating unit is additionally operable to：
It is more than the gray level of first threshold for pixel number, the pixel number of the gray level is updated to the first threshold
Value；
It is less than the gray level of second threshold for pixel number, the pixel number of the gray level is updated to third threshold
Value, the second threshold are more than third threshold value.
Using infrared image enhancing method provided in an embodiment of the present invention and device, have the advantages that：For ash
Each rank gray level of interception condition is unsatisfactory in degree histogram, the pixel number of the gray level is updated rather than single
The preimage vegetarian refreshments number (the pixel number before update) of the pure use gray level enhances infrared image, in this way can be with
So that infrared image enhancement effect is more preferable.In addition, the embodiment of the present invention by according to the pixel that is intercepted to being unsatisfactory for cutting
The pixel number of the gray level of condition is taken to be updated, can also improve the enhancing effect of infrared image.
Description of the drawings
Fig. 1 is infrared image enhancing method flow chart provided in an embodiment of the present invention；
Fig. 2 is infrared image enhancing method specific implementation process flow chart provided in an embodiment of the present invention；
Fig. 3 is infrared image enhancement schematic device provided in an embodiment of the present invention.
Specific embodiment
Infrared image enhancing method provided by the invention and device are carried out in more detail with reference to the accompanying drawings and examples
Explanation.
The embodiment of the present invention provides a kind of infrared image enhancing method, as shown in Figure 1, including：
Step 101, the grey level histogram of original infrared image is counted.
Specifically, in obtained grey level histogram, abscissa represents different gray levels, and ordinate represents pixel
Number, the grey level histogram of obtained infrared image have reacted the pixel number of the different grey-scale of the infrared image, i.e., per rank
Gray level corresponds to a certain number of pixel.Statistics of histogram method is the prior art, is not set forth in detail here.
Step 102, for each rank gray level for meeting interception condition in the grey level histogram, determine that the gray level is cut
The pixel number taken.
Specifically, for the gray level for meeting interception condition, the one part of pixel point in the gray level is intercepted, and determines to be somebody's turn to do
The pixel number that gray level is intercepted.Preferably, the gray level for meeting interception condition is more than the first threshold for pixel number
The gray level of value and, pixel number be less than second threshold gray level, wherein, first threshold be more than second threshold.
Step 103, the pixel number determining each rank gray level being intercepted is added, as the grey level histogram quilt
The pixel sum of interception.
It is added specifically, each rank is met the pixel number that the gray level of interception condition is intercepted, as this
The pixel sum that grey level histogram is intercepted.
Step 104, for each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to the gray level
The sum of pixel number, the gray level exponent number for being unsatisfactory for interception condition, the pixel of each rank gray level for being unsatisfactory for interception condition
And the pixel sum being intercepted, the pixel number of the gray level is updated, and according to updated pixel
Point number, enhances the infrared image.
Specifically, for each rank gray level that interception condition is unsatisfactory in grey level histogram, to the pixel of the gray level
Number is updated rather than the preimage vegetarian refreshments number (the pixel number before update) of the simple use gray level is to infrared
Image is enhanced, and can cause that infrared image enhancement effect is more preferable in this way.In addition, the embodiment of the present invention is intercepted by basis
The pixel fallen is updated the pixel number for being unsatisfactory for the gray level of interception condition, can also improve the increasing of infrared image
Potent fruit.
The calculation for being unsatisfactory for the sum of the pixel of each rank gray level of interception condition is illustrated, for example, being unsatisfactory for
The gray level of interception condition is the first rank gray level and second-order gray level, and the pixel number of the first rank gray level is 100, the
The pixel number of second order gray level is 200, then, is unsatisfactory for the sum of pixel of each rank gray level of interception condition as 100+
200=300.
Preferably, the gray level for being unsatisfactory for interception condition is ash of the pixel number between first threshold and second threshold
Spend grade.
Specifically, meet the gray level of interception condition for pixel number be more than first threshold gray level and, pixel
Point number is less than the gray level of second threshold, wherein, when first threshold is more than second threshold, determine that each rank is expired using following manner
The pixel number that the gray level of foot interception condition is intercepted：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts the first threshold
It is worth the difference of gained, the pixel number being intercepted as the gray level.
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold
It is worth the difference of gained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
The embodiment of the present invention is by setting each threshold value, the pixel that is intercepted in the gray level for determining to meet interception condition
Number.Specifically, traverse every rank gray level in the grey level histogram, determine whether the pixel number of the gray level is more than the
One threshold value, if greater than first threshold, it is determined that the pixel number of the gray level subtracts the difference obtained by first threshold, can incite somebody to action
If the pixel number that the difference is intercepted as the gray level no more than first threshold, further determines that and determines the ash
Whether the pixel number for spending grade is less than second threshold, if less than second threshold, then records the pixel number of the gray level
The difference obtained by third threshold value is subtracted, the pixel number which can be intercepted as the gray level.Wherein, third threshold value
Less than second threshold, also, third threshold value is greater than or equal to zero, it is preferable that third threshold value is equal to zero.First threshold, the second threshold
The size of value and third threshold value can be set according to practical application scene, not limited here.
It illustrates the pixel number for being intercepted determining each rank gray level to be added, as the grey level histogram quilt
The pixel sum of interception, for example, the gray level that pixel number is less than second threshold has three ranks, this three ranks gray level is intercepted
Pixel number be respectively a, b, c, the gray level that pixel number is more than first threshold has two ranks, this two ranks gray level is cut
The pixel number taken is respectively d, e, then obtains a, b, c, d and e, and calculates obtained by a+b+c+d+e as a result, the result is
The pixel sum that grey level histogram is intercepted.
Specifically, can be used equation below according to the pixel number of the gray level, be unsatisfactory for the gray level of interception condition
The pixel that the sum of exponent number, the pixel of each rank gray level for being unsatisfactory for interception condition and the grey level histogram are intercepted is total
Number, is updated the pixel number of the gray level：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for
Interception condition, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent kth rank gray level picture
Vegetarian refreshments number (i.e. h (rk) represent the pixel number before the update of kth rank gray level), the pixel sum that P1 expressions are intercepted,
The sum of pixel of each rank gray level of P2 foot interception conditions with thumb down, the gray level rank of P3 foot interception conditions with thumb down
Number, α and β are respectively to be less than 1 constant for being more than 0.Preferably, the sum of described α and β is 1, and 1≤k≤N, N represent grey level histogram
In gray level exponent number.
Specifically, after grey level histogram determines, exponent number of each rank gray level in grey level histogram will not change, and can record
Meet exponent number of the gray level of interception condition in grey level histogram and be unsatisfactory for the gray level of interception condition in intensity histogram
Exponent number in figure, such as：The 1st rank gray level in grey level histogram is unsatisfactory for interception condition, then the gray level is in intensity histogram
Exponent number in figure is the 1st rank.The kth rank gray level that k in the embodiment of the present invention refers in grey level histogram is unsatisfactory for interception condition,
K is any gray level for being unsatisfactory for interception condition, for example it is respectively the 2nd that the gray level of interception condition is unsatisfactory in grey level histogram
Rank, the 6th rank gray level, then k take 2 and 6 respectively, so as to calculate the pixel number of updated 2nd rank and the 6th rank gray level.
Specifically, according to the updated pixel number of rank gray level each in grey level histogram, to the infrared image into
Row enhancing, specifically includes：
For every rank gray level in grey level histogram, according to the updated pixel number of the gray level, the gray scale
The corresponding pixel sum of histogram and preset equalization formula, equalization processing is carried out to the infrared image.Wherein,
It is preset equalization formula be：
Wherein, x represents any rank gray level in grey level histogram, SxFor in xth rank gray level
Pixel number carry out it is balanced after normalization as a result, P4 represents the corresponding pixel sum of the grey level histogram, H (rl)
Represent the updated pixel number of l rank gray levels in grey level histogram, 1≤x≤N, N represent the ash in grey level histogram
Spend grade exponent number.
In the embodiment of the present invention, enhanced infrared image is obtained after equalization processing is carried out to infrared image.
Preferably, every rank gray level of first threshold is more than for pixel number, by the pixel number of the gray level
It is updated to first threshold；It is less than every rank gray level of second threshold for pixel number, by the pixel number of the gray level
Third threshold value is updated to, first threshold is more than second threshold, and second threshold is more than third threshold value.
Specifically, by meet interception condition in grey level histogram and be unsatisfactory for interception condition gray level pixel
After the completion of number update, equalization processing is carried out to grey level histogram according to the updated each rank gray level of pixel number.Wherein,
First threshold, second threshold and third threshold value can be the optimal value of experiment gained, can also be set according to actual application environment
It is fixed, it does not limit here.In the embodiment of the present invention, every rank ash of first threshold is more than for pixel number in grey level histogram
Grade is spent, the pixel number of the gray level is reduced to first threshold；It is less than second for pixel number in grey level histogram
The pixel number of the gray level is reduced to third threshold value, can remove original infrared figure in this way by every rank gray level of threshold value
Noise spot as in, in case these noise spots influence the effect of image enhancement.
For each rank gray level that interception condition is unsatisfactory in grey level histogram, according to the updated pixel of the gray level
The corresponding pixel sum of number, the grey level histogram and preset equalization formula, carry out the infrared image equal
Above-mentioned equalization formula can be used in weighing apparatusization processing, the specific formula that equalizes, and calculation is corresponding with above-mentioned equalization formula
Calculation is similar, is not set forth in detail here.
Infrared image enhancing method provided in an embodiment of the present invention is described in detail with reference to specific embodiment, such as
Shown in Fig. 2, including：
Step 201, statistics of histogram is carried out for the original infrared image of infrared detector output.
Step 202, every rank gray level in grey level histogram is traversed, is determined per the corresponding pixel number of rank gray level.
Step 203, every rank gray level of first threshold is more than for pixel number in the grey level histogram, determining should
The pixel number of gray level subtracts the difference obtained by first threshold, and the pixel number of the gray level is updated to the first threshold
Value.
Step 204, every rank gray level of second threshold is less than for pixel number in the grey level histogram, determining should
The pixel number of gray level subtracts the difference obtained by third threshold value, and the pixel number of the gray level is updated to third threshold
Value, the first threshold are more than second threshold, and second threshold is more than third threshold value.
The execution sequence of step 203 and step 204 is unlimited, and step 203 or the two are performed after also can perform step 204
It is performed simultaneously.
Step 205, by determining each difference value, the pixel sum being intercepted as the grey level histogram.
Specifically, each difference value that will be determined in step 203 and step 204.
Step 206, every rank gray level for pixel number between first threshold and second threshold, according to the gray scale
Grade pixel number, be unsatisfactory for interception condition gray level exponent number, be unsatisfactory for interception condition each rank gray level pixel
The sum of and it is described be intercepted pixel sum, the pixel number of the gray level is updated.
Step 207, according to the updated pixel number of rank gray level each in grey level histogram, to the infrared image into
Row enhancing.
Based on the same inventive concept of infrared image enhancing method provided in an embodiment of the present invention, the embodiment of the present invention is also
A kind of infrared image enhancement device is provided, as shown in figure 3, including：
Statistic unit 301, for counting the grey level histogram of original infrared image；
First determination unit 302 for being directed to each rank gray level for meeting interception condition in the grey level histogram, determines
The pixel number that the gray level is intercepted；
Second determination unit 303, the pixel number for each rank gray level determined to be intercepted is added, as described
The pixel sum that grey level histogram is intercepted；
Updating unit 304, for being directed to each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to this
The pixel number of gray level, the gray level exponent number for being unsatisfactory for interception condition, be unsatisfactory for interception condition each rank gray level picture
The sum of vegetarian refreshments and the pixel sum being intercepted, are updated, and according to update the pixel number of the gray level
Pixel number afterwards, enhances the infrared image.
In described device, the updating unit using equation below according to the pixel number of the gray level, be unsatisfactory for cutting
Take the sum of the gray level exponent number of condition, the pixel of each rank gray level for being unsatisfactory for interception condition and the pixel being intercepted
Point sum, is updated the pixel number of the gray level：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for
Interception condition, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent kth rank gray level picture
Vegetarian refreshments number, P1 expression be intercepted pixel sum, P2 it is with thumb down foot interception condition each rank gray level pixel it
With, the gray level exponent number of P3 foot interception conditions with thumb down, the constant of α and β respectively less than 1 more than 0.
Described device, meet the gray level of interception condition for pixel number be more than first threshold gray level and, as
Vegetarian refreshments number is less than the gray level of second threshold, wherein, first threshold is more than second threshold.
In described device, first determination unit is specific to use when determining pixel number that the gray level is intercepted
In：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts the first threshold
It is worth the difference of gained, the pixel number being intercepted as the gray level；
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold
It is worth the difference of gained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
In described device, the updating unit is additionally operable to：
It is more than the gray level of first threshold for pixel number, the pixel number of the gray level is updated to the first threshold
Value；
It is less than the gray level of second threshold for pixel number, the pixel number of the gray level is updated to third threshold
Value, the second threshold are more than third threshold value.
Using infrared image enhancing method provided in an embodiment of the present invention and device, have the advantages that：For ash
Each rank gray level of interception condition is unsatisfactory in degree histogram, the pixel number of the gray level is updated rather than single
The preimage vegetarian refreshments number (the pixel number before update) of the pure use gray level enhances infrared image, in this way can be with
So that infrared image enhancement effect is more preferable.In addition, the embodiment of the present invention by according to the pixel that is intercepted to being unsatisfactory for cutting
The pixel number of the gray level of condition is taken to be updated, can also improve the enhancing effect of infrared image.
The present invention be with reference to according to the method for the embodiment of the present invention, the flow of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that it can be realized by computer program instructions every first-class in flowchart and/or the block diagram
The combination of flow and/or box in journey and/or box and flowchart and/or the block diagram.These computer programs can be provided
The processor of all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices is instructed to produce
A raw machine so that the instruction performed by computer or the processor of other programmable data processing devices is generated for real
The device of function specified in present one flow of flow chart or one box of multiple flows and/or block diagram or multiple boxes.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction generation being stored in the computer-readable memory includes referring to
Enable the manufacture of device, the command device realize in one flow of flow chart or multiple flows and/or one box of block diagram or
The function of being specified in multiple boxes.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps are performed on calculation machine or other programmable devices to generate computer implemented processing, so as in computer or
The instruction offer performed on other programmable devices is used to implement in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, but those skilled in the art once know basic creation
Property concept, then additional changes and modifications may be made to these embodiments.So appended claims be intended to be construed to include it is excellent
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. a kind of infrared image enhancing method, which is characterized in that including：
Count the grey level histogram of original infrared image；
For each rank gray level for meeting interception condition in the grey level histogram, the pixel that the gray level is intercepted is determined
Number；
The pixel number that determining each rank gray level is intercepted is added, the pixel being intercepted as the grey level histogram
Sum；
For each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to the pixel number of the gray level,
It is unsatisfactory for the sum of the gray level exponent number of interception condition, the pixel of each rank gray level for being unsatisfactory for interception condition and described is cut
The pixel sum taken, is updated the pixel number of the gray level, and according to updated pixel number, to described
Infrared image is enhanced；
Wherein, according to the pixel number of the gray level, the gray level exponent number that is unsatisfactory for interception condition, be unsatisfactory for interception condition
The sum of pixel of each rank gray level and the pixel sum being intercepted, carry out more the pixel number of the gray level
Newly, it specifically includes：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for interception item
Part, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent that the pixel of kth rank gray level is a
The sum of number, the pixel sum that P1 expressions are intercepted, pixel of each rank gray level of P2 foot interception conditions with thumb down, P3 tables
Show the gray level exponent number for being unsatisfactory for interception condition, α and β are respectively to be less than 1 constant for being more than 0.
2. the method as described in claim 1, which is characterized in that meet the gray level of interception condition and be more than for pixel number
The gray level of one threshold value and, pixel number be less than second threshold gray level, wherein, first threshold be more than second threshold.
3. method as claimed in claim 2, which is characterized in that determine the pixel number that the gray level is intercepted, it is specific to wrap
It includes：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts first threshold institute
The difference obtained, the pixel number being intercepted as the gray level；
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold value institute
The difference obtained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
4. method as claimed in claim 2, which is characterized in that further include：
It is more than the gray level of first threshold for pixel number, the pixel number of the gray level is updated to first threshold；
It is less than the gray level of second threshold for pixel number, the pixel number of the gray level is updated to third threshold value,
The second threshold is more than third threshold value.
5. a kind of infrared image enhancement device, which is characterized in that including：
Statistic unit, for counting the grey level histogram of original infrared image；
First determination unit for being directed to each rank gray level for meeting interception condition in the grey level histogram, determines the gray scale
The pixel number that grade is intercepted；
Second determination unit, the pixel number for each rank gray level determined to be intercepted is added, straight as the gray scale
The pixel sum that square figure is intercepted；
Updating unit, for being directed to each rank gray level that interception condition is unsatisfactory in the grey level histogram, according to the gray level
Pixel number, be unsatisfactory for interception condition gray level exponent number, be unsatisfactory for interception condition each rank gray level pixel it
With and it is described be intercepted pixel sum, the pixel number of the gray level is updated, and according to updated picture
Vegetarian refreshments number enhances the infrared image；
Wherein, the updating unit using equation below according to the pixel number of the gray level, be unsatisfactory for the ash of interception condition
The sum of degree grade exponent number, the pixel of each rank gray level for being unsatisfactory for interception condition and the pixel sum being intercepted, it is right
The pixel number of the gray level is updated：
Wherein, the kth rank gray level in grey level histogram is unsatisfactory for interception item
Part, H (rk) represent the corresponding updated pixel number of kth rank gray level, h (rk) represent that the pixel of kth rank gray level is a
The sum of number, the pixel sum that P1 expressions are intercepted, pixel of each rank gray level of P2 foot interception conditions with thumb down, P3 tables
Show the gray level exponent number for being unsatisfactory for interception condition, α and β are respectively to be less than 1 constant for being more than 0.
6. device as claimed in claim 5, which is characterized in that meet the gray level of interception condition and be more than for pixel number
The gray level of one threshold value and, pixel number be less than second threshold gray level, wherein, first threshold be more than second threshold.
7. device as claimed in claim 6, which is characterized in that first determination unit is determining what the gray level was intercepted
During pixel number, it is specifically used for：
It is more than the gray level of first threshold for pixel number, determines that the pixel number of the gray level subtracts first threshold institute
The difference obtained, the pixel number being intercepted as the gray level；
It is less than the gray level of second threshold for pixel number, determines that the pixel number of the gray level subtracts third threshold value institute
The difference obtained, as the pixel number that the gray level is intercepted, second threshold is more than third threshold value.
8. device as claimed in claim 6, which is characterized in that the updating unit is additionally operable to：
It is more than the gray level of first threshold for pixel number, the pixel number of the gray level is updated to first threshold；
It is less than the gray level of second threshold for pixel number, the pixel number of the gray level is updated to third threshold value,
The second threshold is more than third threshold value.
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| CN109493292B (en) * | 2018-10-29 | 2021-12-17 | 平高集团有限公司 | Enhancement processing method and device based on infrared temperature measurement image of power equipment |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286231A (en) * | 2008-06-04 | 2008-10-15 | 四川虹微技术有限公司 | Contrast enhancement method for uniformly distributing image brightness |
| CN104574328A (en) * | 2015-01-06 | 2015-04-29 | 北京环境特性研究所 | Color image enhancement method based on histogram segmentation |
| CN104680500A (en) * | 2015-02-07 | 2015-06-03 | 江西科技学院 | Image intensification algorithm based on histogram equalization |
| CN104700376A (en) * | 2014-11-25 | 2015-06-10 | 桂林电子科技大学 | Gamma correction and smoothing filtering based image histogram equalization enhancing method |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7236641B2 (en) * | 2002-07-01 | 2007-06-26 | Xerox Corporation | Page background detection and neutrality on scanned documents |
| US8295593B2 (en) * | 2009-01-07 | 2012-10-23 | Seiko Epson Corporation | Method of detecting red-eye objects in digital images using color, structural, and geometric characteristics |
| US20140348428A1 (en) * | 2013-05-24 | 2014-11-27 | Himax Media Solutions, Inc. | Dynamic range-adjustment apparatuses and methods |
-
2015
- 2015-11-18 CN CN201510795444.3A patent/CN105427256B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101286231A (en) * | 2008-06-04 | 2008-10-15 | 四川虹微技术有限公司 | Contrast enhancement method for uniformly distributing image brightness |
| CN104700376A (en) * | 2014-11-25 | 2015-06-10 | 桂林电子科技大学 | Gamma correction and smoothing filtering based image histogram equalization enhancing method |
| CN104574328A (en) * | 2015-01-06 | 2015-04-29 | 北京环境特性研究所 | Color image enhancement method based on histogram segmentation |
| CN104680500A (en) * | 2015-02-07 | 2015-06-03 | 江西科技学院 | Image intensification algorithm based on histogram equalization |
Non-Patent Citations (2)
| Title |
|---|
| "基于FPGA的直方图均衡化图像增强方法研究";葛彬;《中国优秀硕士学位论文全文数据库 信息科技辑》;20130615(第6期);论文第11-18页 * |
| "基于灰度直方图的图像增强算法";江开猛等;《信阳农业高等专科学校学报》;20050930;第15卷(第3期);论文第100-102页 * |
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