CN2838170Y - Image enhancing structure device - Google Patents
Image enhancing structure device Download PDFInfo
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- CN2838170Y CN2838170Y CN 200520044884 CN200520044884U CN2838170Y CN 2838170 Y CN2838170 Y CN 2838170Y CN 200520044884 CN200520044884 CN 200520044884 CN 200520044884 U CN200520044884 U CN 200520044884U CN 2838170 Y CN2838170 Y CN 2838170Y
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Abstract
The utility model provides an image enhancing structure device. After a digital image is input into a truncation histogram memory, the digital image passes through a comparator, a counter and an adder are triggered by the comparator, the digital image passes through a combination circuit module of a brightness accumulation probability distribution function of the truncation histogram and a mapping table combination circuit module to be stored in a brightness mapping table memory, and then, the high frequency signal and the low frequency signal of the image are processed through a low-pass filter, an image enhancement module, a subtracter and a high frequency enhancement module; finally, the image is output through a frequency signal adder. The image enhancing structure device which is provided by the utility model can be used for directly counting and computing brightness signals which are input, and the calculation result is used to carry out mapping for low frequency signals; thus, storage space of the image information in the middle process can be saved.
Description
Technical field
The utility model relates to a kind of constructional device that strengthens image, is applied to technical fields such as rest image processing, video image enhancing.
Background technology
It is to belong to the image low frequency information to strengthen that picture contrast strengthens.In order to prevent that noise from increasing simultaneously, the general processing method of using comprises at present, as shown in Figure 1, and step (a), input digital image, and extract monochrome information; Step (b), the low-and high-frequency of carrying out picture signal by low pass filter are decomposed; Step (c), low frequency signal is carried out the histogram equalization enhancement process; Step (d), the low frequency signal after will strengthening and former high-frequency signal addition merge; Step (e), reduction number word image.
Use said method to strengthen picture contrast, there is following shortcoming: in the time need carrying out global statistics or large tracts of land statistics to the low frequency information of image, need to preserve a frame or large-area information for high-frequency information and low frequency information simultaneously, increased storage resources greatly.
The utility model content
The purpose of this utility model is to provide a kind of constructional device that strengthens image, it is directly added up and calculates the image input luminance signal, use result of calculation that low frequency signal is shone upon, when strengthening image, can save the image information memory space in the pilot process greatly.
For reaching above-mentioned purpose, the utility model provides a kind of constructional device that strengthens image, and it comprises:
One truncating histogram memory, its storage truncating histogram storage array CH[x], x ∈ { X
i| i=0,1 ..., N-1}, wherein X
0, X
1..., X
i..., X
N-1Order is the image brightness value of N level discretization, and X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
One truncating histogram reads circuit, the address of its storage truncating histogram memory; It reads and exports the value CH[Xin of unit of the truncating histogram array of corresponding Xin according to the image brightness signal Xin of input];
One comparator, its input is connected with the output that truncating histogram reads circuit (14), truncating histogram is read the unit's value and the default parameters C ountMax comparison of comparator of the truncating histogram storage array of circuit (14) output, judge that whether it is less than CountMax; If, output adder triggering signal then; If not, output counter triggering signal then;
One counter, its input connects the output of comparator, and when its counter trigger signal of receiving comparator output, the value of calculating being blocked pixel and CN adds 1, counts;
One adder, its input connects the output of comparator, and is connected with the truncating histogram memory; Receive the adder triggering signal of comparator output when adder, unit's value that this adder is stored array with truncating histogram adds 1, and with the result transmission after the addition to the truncating histogram memory, cover and upgrade truncating histogram and store array;
One CCDF (the brightness accumulated probability distribution function of truncating histogram) combined circuit module, the input of this module connects the output of described truncating histogram memory sum counter, it is according to the output of truncating histogram memory sum counter, calculating is based on the accumulated probability distribution function of truncating histogram: CCDF[x], x ∈ { X
i| i=0,1 ..., N-1}, wherein X
0, X
1..., X
i..., X
N-1Order is the image brightness value of N level discretization, X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
CCH[x defines arrays], x ∈ { X
j| j=0,1 ..., N-1}, wherein X
0, X
1..., X
j..., X
N-1Order is the image brightness value of N level discretization, and X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
CCH[X
0]＝CH[X
0]+CN/N；
Recirculation is calculated: CCH[X
j]=CCH[X
J-1]+CH[X
j]+CN/N, j=1,2 ..., N-1;
Last cycle calculations: CCDF[X
j]=CCH[X
j]/Num, j=0,1 ..., N-1; Wherein Num is the sum of all pixels of this image;
One mapping table combined circuit module, the input of this module connects the output of CCDF combined circuit module, and it calculates brightness mapping table: G[X according to the output of CCDF combined circuit module
i], i=0,1 ..., N-1; G[X
i]=(1-K) * X
i+ K * CCDF[X
i] * N; I=0,1 ..., N-1, wherein, K is a predefined parameter, and 0≤K≤1;
One brightness mapping table memory, it is connected with the mapping table combined circuit module, and it is in order to storage brightness mapping list cell value;
One frame memory, the brightness number Xin of the input input digital image of this memory, time of delay, T exported again backward with the brightness number of digital picture of input, and wherein, T is the time that input one frame/field picture needs;
One low pass filter, its input connects the output of described frame memory, and the picture signal Xin that frame memory is exported carries out convolution, leaches the low frequency signal X of image
LP
One Image Enhancement Based piece, its input connect the output of described brightness mapping table memory and the output of low pass filter, according to the output of brightness mapping table, to decomposing the image low frequency signal X of output in the low pass filter
LPShine upon the image low frequency signal X after being enhanced in real time
LP':
X
LP’＝G[X
LP]；
One subtracter, its input connect the output of described frame memory and the output of low pass filter; Described subtracter reads in the image brightness signal of frame memory output and the low frequency signal X of low pass filter output
LP, image brightness signal is deducted low frequency signal X
LP, obtain the high-frequency signal X of image
HP
One low-and high-frequency signal adder, its input connect the output that the output of described Image Enhancement Based piece and high frequency strengthen module, make the image low frequency signal after the enhancing of reading in and strengthen after the addition of image high-frequency signal, recover the luminance signal X of image
Out: X
Out=X
LP'+X
HP
Further, the utility model also comprises a high frequency and strengthens module, and its input connects the output of described subtracter, and its output connects the input of low-and high-frequency signal adder; Described high frequency strengthens the high-frequency signal X of module to subtracter output
HPCarry out the high frequency enhancement process, help Synchronous Processing, the storage of signal and quote mutually.
The constructional device of the enhancing image that the utility model provides uses Predicting Technique between frame/field, and the characteristic value of the histogram of present frame/field etc. is applied to the contrast expansion of the low frequency information of next frame/field, so can save memory space.
The constructional device of the enhancing image that the utility model provides is that input luminance signal is directly added up and calculated, and uses result of calculation that low frequency signal is shone upon, and so can save the image information memory space of pilot process greatly.
Description of drawings
Fig. 1 is the flow chart that strengthens the method for image in the background technology;
The structural representation of the constructional device of the enhancing image that Fig. 2 provides for the utility model.
Embodiment
Below in conjunction with Fig. 2 specific embodiment of the utility model is described, so that further understand content of the present utility model:
As shown in Figure 2, the constructional device of the enhancing image that the utility model provides, it comprises:
One truncating histogram memory 1, its storage truncating histogram storage array CH[x], x ∈ { X
i| i=0,1 ..., 255}, wherein X
0, X
1..., X
i..., X
255Order is the image brightness value of 256 grades of discretizations, and X
0Corresponding utmost point black, X
255Correspondence is white extremely;
Described truncating histogram memory 1 uses static random access memory (SRAM), is provided by chip maker; When detecting frame synchronizing signal (VSYNC), all numerical value zero clearing in the truncating histogram memory;
One truncating histogram reads circuit (14), the address of its storage truncating histogram memory; According to the image brightness signal Xin of input, read and export the value CH[Xin of unit of the truncating histogram array of corresponding Xin];
One comparator 2, its input is connected with the output that truncating histogram reads circuit (14), truncating histogram is read the truncating histogram of circuit (14) output and store unit's value of array and the parameters C ountMax comparison that comparator 2 is preset, judge that whether it is less than CountMax; If, output adder triggering signal then; If not, output counter triggering signal then; This comparator 2 is realized by a comparison circuit;
One counter 3, its input connects the output of comparator 2, and when its counter trigger signal of receiving comparator 2 outputs, the value of calculating being blocked pixel and CN adds 1, counts;
Described counter 3 is realized by an add circuit and a register combination; When detecting frame synchronizing signal (VSYNC), the register zero clearing whenever has an input signal afterwards, all makes the value of this register add 1;
One adder 4, its input connects the output of comparator 2, and is connected with truncating histogram memory 1; Receive the adder triggering signal of comparator 2 output when adder 4, unit's value that this adder 4 is stored array with truncating histogram adds 1, and with the result transmission after the addition to truncating histogram memory 1, cover and upgrade truncating histogram and store array;
This adder 4 makes input signal values add 1 add circuit realization by one;
One CCDF combined circuit module 5, the input of this module connects the output of described truncating histogram memory 1 sum counter 3, it calculates the accumulated probability distribution function based on truncating histogram: CCDF[x according to the output of truncating histogram memory 1 sum counter 3], x ∈ { X
i| i=0,1 ..., 255}, wherein X
0, X
1..., X
i..., X
255Order is the image brightness value of 256 grades of discretizations, X
0Corresponding utmost point black, X
255Correspondence is white extremely;
CCH[x defines arrays], x ∈ { X
j| j=0,1 ..., 255}, wherein X
0, X
1..., X
j..., X
255Order is the image brightness value of 256 grades of discretizations, and X
0Corresponding utmost point black, X
255Correspondence is white extremely;
CCH[X
0]＝CH[X
0]+CN/256；
Recirculation is calculated: CCH[X
j]=CCH[X
J-1]+CH[X
j]+CN/256, j=1,2 ..., 255;
Last cycle calculations: CCDF[X
j]=CCH[X
j]/Num, j=0,1 ..., 255; Wherein Num is the sum of all pixels of this image;
Described CCDF combined circuit module 5 reads circuit, static random access memory (SRAM), accumulator circuit, add circuit and division circuit combination by truncating histogram and realizes; And result of calculation is stored in the SRAM;
One mapping table combined circuit module 6, the input of this module connects the output of CCDF combined circuit module 5, and it calculates brightness mapping table: G[X according to the output of CCDF combined circuit module 5
i], i=0,1 ..., 255; G[X
i]=(1-K) * X
i+ K * CCDF[X
i] * N; I=0,1 ..., 255, wherein, K is a predefined parameter, and 0≤K≤1;
Described mapping table combined circuit module 6 is realized by add circuit and mlultiplying circuit combination;
One brightness mapping table memory 7, it is connected with mapping table combined circuit module 6, and it is in order to storage brightness mapping table; This brightness mapping table memory 7 is realized by static random access memory (SRAM);
One frame memory 8, the brightness number Xin of its input input digital image, time of delay, T exported again backward with the brightness number of digital picture of input, and wherein, T is the time that input one frame/field picture needs;
Described frame memory 8 is general synchronous DRAMs (SDRAM);
One low pass filter 9, its input connects the output of described frame memory 8, and the picture signal Xin that frame memory 8 is exported carries out convolution, leaches the low frequency signal X of image
LP
This low pass filter 9 uses array low pass template that input picture is carried out convolution; Convolution circuit is realized by add circuit and mlultiplying circuit combination;
One Image Enhancement Based piece 10, its input connect the output of described brightness mapping table memory 7 and the output of low pass filter 9, according to the output of brightness mapping table, to decomposing the image low frequency signal X of output in the low pass filter 9
LPShine upon the image low frequency signal X after being enhanced in real time
LP': X
LP'=G[X
LP];
One subtracter 11, its input connect the output of described frame memory 8 and the output of low pass filter 9; Described subtracter 11 reads in the image brightness signal of frame memory 8 outputs and the low frequency signal X of low pass filter 9 outputs
LP, image brightness signal is deducted low frequency signal X
LP, obtain the high-frequency signal X of image
HPThis subtracter is realized by subtraction circuit;
One low-and high-frequency signal adder 13, its input connects the output of described Image Enhancement Based piece 10 and the output that high frequency strengthens module 12, make the image low frequency signal after the enhancing of reading in and strengthen after the addition of image high-frequency signal, recover the luminance signal X of image
Out: X
Out=X
LP'+X
HP
This low-and high-frequency signal adder 13 is realized by add circuit.
Further, the utility model also comprises a high frequency and strengthens module 12, and its input connects the output of described subtracter 11, and its output connects the input of low-and high-frequency signal adder 13; Described high frequency strengthens the high-frequency signal X of 12 pairs of subtracters of module, 11 outputs
HPCarry out the high frequency enhancement process, help Synchronous Processing, the storage of signal and quote mutually;
This high frequency strengthens module 12 to be realized by mlultiplying circuit.
The constructional device of the enhancing image that the utility model provides uses Predicting Technique between frame/field, and the characteristic value of the histogram of present frame/field etc. is applied to the contrast expansion of the low frequency information of next frame/field, so can save memory space.
The constructional device of the enhancing image that the utility model provides is that input luminance signal is directly added up and calculated, and uses result of calculation that low frequency signal is shone upon, and so can save the image information memory space of pilot process greatly.
Claims (4)
1. a constructional device that strengthens image is characterized in that, comprises:
One truncating histogram memory (1), its storage truncating histogram storage array CH[x], x ∈ { X
i| i=0,1 ..., N-1}, wherein X
0, X
1..., X
i..., X
N-1Order is the image brightness value of N level discretization, and X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
One truncating histogram reads circuit (14), the address of its storage truncating histogram memory; According to the image brightness signal Xin of input, read and export the value CH[Xin of unit of the truncating histogram array of corresponding Xin];
One comparator (2), its input is connected with the output that truncating histogram reads circuit (14), truncating histogram is read the value CH[Xin of unit of the truncating histogram storage array of circuit (14) output] compare with the default parameters C ountMax of comparator (2), judge CH[Xin] whether less than CountMax; If, output adder triggering signal then; If not, output counter triggering signal then;
One counter (3), its input connects the output of comparator (2), and when its counter trigger signal of receiving comparator (2) output, the value of calculating being blocked pixel and CN adds 1, counts;
One adder (4), its input connects the output of comparator (2), and is connected with truncating histogram memory (1); Receive the adder triggering signal of comparator (2) output when adder (4), unit's value that this adder (4) is stored array with truncating histogram adds (1), and with the result transmission after the addition to truncating histogram memory (1), cover to upgrade truncating histogram storage array;
The combined circuit module (5) of the brightness accumulated probability distribution function of one truncating histogram, the input of this module connects the output of described truncating histogram memory (1) sum counter (3), it is according to the output of truncating histogram memory (1) sum counter (3), calculating is based on the accumulated probability distribution function of truncating histogram: CCDF[x], x ∈ { X
i| i=0,1 ..., N-1}, wherein X
0, X
1..., X
i..., X
N-1Order is the image brightness value of N level discretization, X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
CCH[x defines arrays], x ∈ { X
j| j=0,1 ..., N-1}, wherein X
0, X
1..., X
j..., X
N-1Order is the image brightness value of N level discretization, and X
0The minimum of correspondence image brightness values, X
N-1The maximum of correspondence image brightness values;
CCH[X
0]＝CH[X
0]+CN/N；
Recirculation is calculated: CCH[X
j]=CCH[X
J-1]+CH[X
j]+CN/N, j=1,2 ..., N-1;
Last cycle calculations: CCDF[X
j]=CCH[X
j]/Num, j=0,1 ..., N-1; Wherein Num is the sum of all pixels of this image;
One mapping table combined circuit module (6), the output of the combined circuit module (5) of the brightness accumulated probability distribution function of the input connection truncating histogram of this module calculates brightness mapping table: G[X
i], i=0,1 ..., N-1; G[X
i]=(1-K) * X
i+ K * CCDF[X
i] * N; I=0,1 ..., N-1, wherein, K is a predefined parameter, and 0≤K≤1;
One brightness mapping table memory (7), it is connected with mapping table combined circuit module (6), and it is in order to storage brightness mapping table;
One frame memory (8), the brightness number Xin of its input input digital image, time of delay, T exported again backward with the brightness number of digital picture of input, and wherein, T is the time that input one frame/field picture needs;
One low pass filter (9), its input connects the output of described frame memory (8), and the picture signal Xin that frame memory (8) is exported carries out convolution, leaches the low frequency signal X of image
LP
One Image Enhancement Based piece (10), its input connect the output of described brightness mapping table memory (7) and the output of low pass filter (9), according to the output of brightness mapping table, to decomposing the image low frequency signal X of output in the low pass filter (9)
LPShine upon the image low frequency signal X after being enhanced in real time
LP': X
LP'=G[X
LP];
One subtracter (11), its input connect the output of described frame memory (8) and the output of low pass filter (9); Described subtracter (11) reads in the image brightness signal of frame memory (8) output and the low frequency signal X of low pass filter (9) output
LP, image brightness signal Xin is deducted low frequency signal X
LP, obtain the high-frequency signal X of image
HP
One low-and high-frequency signal adder (13), its input connects the output of described Image Enhancement Based piece (10) and the output that high frequency strengthens module (12), make the image low frequency signal after the enhancing of reading in and strengthen after the addition of image high-frequency signal, recover the luminance signal X of image
Out: X
Out=X
LP'+X
HP
2. the constructional device of enhancing image as claimed in claim 1 is characterized in that, also comprises a high frequency and strengthens module (12), and its input connects the output of described subtracter (11), and output connects the input of low-and high-frequency signal adder (13); This high frequency strengthens the high-frequency signal X of module (12) to subtracter (11) output
HPCarry out the high frequency enhancement process.
3. the constructional device of enhancing image as claimed in claim 1 is characterized in that, the characteristic value of the histogram of present frame/field etc. is applied to the contrast expansion of the low frequency information of next frame/field, saves memory space.
4. the constructional device of enhancing image as claimed in claim 1 is characterized in that, described frame memory (8) is general synchronous DRAM.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520044884 CN2838170Y (en) | 2005-09-08 | 2005-09-08 | Image enhancing structure device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 200520044884 CN2838170Y (en) | 2005-09-08 | 2005-09-08 | Image enhancing structure device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN2838170Y true CN2838170Y (en) | 2006-11-15 |
Family
ID=37392660
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN 200520044884 Expired - Fee Related CN2838170Y (en) | 2005-09-08 | 2005-09-08 | Image enhancing structure device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN2838170Y (en) |
-
2005
- 2005-09-08 CN CN 200520044884 patent/CN2838170Y/en not_active Expired - Fee Related
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20061115 Termination date: 20110908 |