CN101193212A - Method and device for processing backlight image - Google Patents
Method and device for processing backlight image Download PDFInfo
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- CN101193212A CN101193212A CNA2006101606230A CN200610160623A CN101193212A CN 101193212 A CN101193212 A CN 101193212A CN A2006101606230 A CNA2006101606230 A CN A2006101606230A CN 200610160623 A CN200610160623 A CN 200610160623A CN 101193212 A CN101193212 A CN 101193212A
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Abstract
The invention relates to an image processing method comprising the following steps: image data is inputted; a first brightness average and a second brightness average are obtained respectively according to a plurality of pixels between a first brightness range and a second brightness range among the image data; a first brightness critical value is obtained according to the first brightness average; a compensating parameter is provided; a first compensating brightness value is calculated according to the first brightness average and the compensating parameter; a second compensating brightness value is obtained according to the first brightness critical value, the fist brightness average, the second brightness average and the compensating parameter; and the brightness of the image data between the minimum compensating brightness and the maximum compensating brightness is adjusted by the minimum compensating brightness and the result of comparing the first compensating brightness with the second compensating brightness.
Description
Technical field
The invention provides a kind of method and device thereof of handling backlight image, especially a kind of compensate for backlight image brightness is than the method and the device thereof of the image of dark place.
Background technology
Along with science and technology is maked rapid progress, digital product replaces traditional analog formula instrument gradually, and digital camera is exactly good example.Be different from the traditional optical camera, digital camera is noted down image information in digitized mode, with image transitions is digital signal, be stored in the storage device with the computer picture file format, and can connect computer system, with image storage in hard disk, simultaneously can be on display display image or by the printer output picture material, watch the achievement of shooting immediately.In addition, the image that the user can utilize the image processing instrument that digital camera is noted down is done further processing, to reach even to surmount the special-effect that the traditional optical camera can be shot.
Yet the user can photograph backlight image unavoidably when using camera, and meaning is that main body is very dark but image that background is very bright.For improving this shortcoming, many methods at the backlight image compensation develop out successively, but traditional settling mode, or consider whole image, and the background of whole image of overcompensation; Or,, but often produce the situation (junction effect) that image is discontinuous in the color range intersection, the section difference is excessive that causes with two stage compensate for backlight images based on fuzzy (fuzzy).For instance, see also Fig. 1, Fig. 1 is the character used in proper names and in rendering some foreign names agate fair curve of two stage of prior art backlight image compensation deals, the corresponding relation before and after this curve shows brightness is adjusted.Brightness is less than the part of A before adjusting among the figure, be zone darker in this backlight image, known two stage compensation way can be taked the processing of blast to this zone, image greater than brightness value A before adjusting is not then handled, so the color range intersection of two stage image compensations (brightness value A place before adjusting) can cause sizable color range discontinuous, and have influence on the smoothness of image tonescale, and then reduce the quality of image processing.At this problem, in " Detection and CompensationAlgorithm for Backlight Images with Fuzzy Logic and AdaptiveCompensation Curve " literary composition that C.L.Chin and C.T.Lin deliver on International Journal of Pattern Recognition andArtificial Intelligence, disclose a kind of backlight image compensation method and solved the discontinuous problem of color range, but the amount of calculation of this method is based on extra compensation range detecting effect, operand can be bigger, thereby reduction image processing efficient, so how finding out one does not influence the backlight image compensation method that image quality can have image processing efficient again concurrently, just is the problem of the required effort of image processing techniques now.
Summary of the invention
The invention provides method and the device thereof of a kind of compensate for backlight image brightness, to solve the above problems than the dark place.
The present invention discloses a kind of method of handling image, and it comprises the following step: input image data, and it comprises a plurality of pixels; First brightness section and second brightness section are provided; Draw first average brightness according to a plurality of pixels between this first brightness section in this view data; Draw second average brightness according to a plurality of pixels between this second brightness section in this view data; Draw first brightness critical values according to this first average brightness; Parameter affords redress; Calculate first compensation according to this first average brightness and this compensating parameter; Calculate second compensation according to this first brightness critical values, this first average brightness, this second average brightness and this compensating parameter; Comparative result according to this first compensation and this second compensation draws maximum compensation; And according to minimum compensation and the brightness value of should the maximum compensation adjusting the view data between between this minimum compensation and this maximum compensation.
The present invention discloses a kind of image processing system, and it comprises: image input module is arranged, be used for input image data; The average brightness calculation element is used for calculating first average brightness according to a plurality of pixels between first brightness section in this view data, and calculates second average brightness according to a plurality of pixels between second brightness section in this view data; The compensate for brightness value calculation apparatus, be used for calculating first compensation, and calculate second compensation according to first brightness critical values, this first average brightness, this second average brightness and this compensating parameter according to this first average brightness and compensating parameter; The compensation comparison means is used for relatively this first compensation and this second compensation to produce maximum compensation; And processing unit, be used for according to minimum compensation and the adjustment that should the maximum compensation calculates the view data between between this minimum compensation and this maximum compensation brightness value later.
Compared to prior art, the present invention handles the method and the image processing system of image, can effectively solve prior art compensate for backlight image and cause remarkable discontinuous problem at the color range intersection, and can keep the smoothness of image tonescale, and then keep and handle the quality of image afterwards, moreover algorithm of the present invention can save amount of calculation effectively, so for taking into account the backlight image compensation method of image quality and calculation cost.
Description of drawings
The 1st figure is the character used in proper names and in rendering some foreign names agate fair curve figure of prior art after through the backlight image compensation deals of two stages.
The 2nd figure is the function block schematic diagram of the image processing system of one embodiment of the invention.
The 3rd figure is the flow chart of the image processing system image data processing of this embodiment of the invention.
The 4th figure is the color range distribution map of this view data.
The 5th figure is the character used in proper names and in rendering some foreign names agate fair curve figure after this view data of this embodiment of the invention is passed through compensation deals.
Embodiment
See also Fig. 2, Fig. 2 is the function block schematic diagram of the image processing system 10 of one embodiment of the invention, and image processing system 10 can be digital camera, mobile phone, or is computer system etc.Image processing system 10 includes image input module 12, be used for input image data, image input module 12 can be the capturing images module, be used for photographic images, this moment, image input module 12 included camera lens 14, be used for receiving light, and imageing sensor 16, be used for converting the light that camera lens 14 is received to electric signal, produce this view data thus, wherein imageing sensor 16 can comprise a plurality of Charged Coupled Devices (chargecoupled device, CCD) or comprise a plurality of CMOSs (complementary metal-oxide semiconductor, CMOS) etc.Image processing system 10 also comprises judgment means 18, average brightness calculation element 20, compensate for brightness value calculation apparatus 22, compensation comparison means 24, processing unit 26, display module 28, and input module 32.Judgment means 18 is used for judging whether 12 input image datas of image input module are backlight image; Average brightness calculation element 20 be used for according in this view data between a plurality of pixels of first brightness section, calculate the first average brightness C
1, and according in this view data between a plurality of pixels of second brightness section, calculate the second average brightness C
2Compensate for brightness value calculation apparatus 22 is used for according to this first average brightness C
1And compensating parameter C, calculate the first compensation Y
1, and according to the first brightness critical values C
1+ σ, this first average brightness C
1, this second average brightness C
2And this compensating parameter C, calculate the second compensation Y
2Compensation comparison means 24 is used for relatively this first compensation Y
1With this second compensation Y
2, to produce maximum compensation B; Processing unit 26 is used for according to minimum compensation b and should maximum compensation B, calculates between between this minimum compensation b and this maximum compensation B view data adjustment brightness value later; Display module 28 is used for showing through adjusting view data later; If judgment means 18, average brightness calculation element 20, compensate for brightness value calculation apparatus 22, and compensation comparison means 24 presents with program code means, then image processing system 10 can also comprise memory module 30, is used for storing judgment means 18, average brightness calculation element 20, compensate for brightness value calculation apparatus 22 and compensation comparison means 24; Input module 32 can be used to import data, for example corresponding to the data of this compensating parameter C, correspond to this first brightness critical values C
1+ σ, and corresponding to data of this minimum compensation b etc.
See also Fig. 3, Fig. 3 is the flow chart of image processing system 10 image data processings of this embodiment of the invention, and method of the present invention comprises the following step:
Step 100: utilize image input module 12 input image datas, this view data comprises a plurality of pixels.
Step 102: judgment means 18 judges whether this view data that image input module 12 is imported is backlight image, if execution in step 104 then; Execution in step 122 then if not, to finish the flow process of image data processing of the present invention, meaning promptly can not continue to carry out backlight image compensation flow process of the present invention to this view data.
Step 104: average brightness calculation element 20 calculates this first average brightness C according to a plurality of pixels between this first brightness section in this view data
1
Step 106: average brightness calculation element 20 calculates this second average brightness C according to a plurality of pixels between this second brightness section in this view data
2
Step 108: according to this first average brightness C
1Draw this first brightness critical values C
1+ σ.
Step 110: this compensating parameter C is provided.
Step 112: compensate for brightness value calculation apparatus 22 is according to this first average brightness C
1And compensating parameter C calculates this first compensation Y
1
Step 114: compensate for brightness value calculation apparatus 22 is according to according to this first brightness critical values C
1+ σ, this first average brightness C
1, this second average brightness C
2, and this compensating parameter C calculates this second compensation Y
2
Step 116: compensation comparison means 24 is this first compensation Y relatively
1With this second compensation Y
2, to produce maximum compensation B.
Step 118: brightness value Y before processing unit 26 is not adjusted according to r value, this view data
m, this minimum compensation b and the adjustment that should maximum compensation B calculates the view data between between this minimum compensation b and this maximum compensation B brightness value Y later
Out, wherein should minimum compensation b and this maximum compensation B interval outside view data do not adjusted.
Step 120: processing unit 26 is according to the adjustment of the view data between between this minimum compensation b and this maximum compensation B that is calculated brightness value Y later
Out, control display module 28 shows through adjusting view data later.
Step 122: finish.
At this above-mentioned steps is elaborated, at first can utilize image input module 12 input image datas, photographic images etc. for example, the light that object is launched or reflected can receive by camera lens 14, and converted to electric signal by imageing sensor 16, to produce this view data.Judgment means 18 can judge just whether this view data that image input module 12 is imported is backlight image afterwards, this is because the present invention is primarily aimed at the bright backlight image that secretly differs greatly of image and handles, if judgment means 18 is judged when this view data is backlight image, then can continue to carry out backlight image compensation flow process of the present invention to this view data; But if judgment means 18 is judged when this view data is not backlight image, then can not continue to carry out backlight image compensation flow process of the present invention, then can select other image processing algorithm for use this moment or directly export this view data and do not carry out image processing this view data.Judge as for judgment means 18 whether this view data that image input module 12 is imported is the method for backlight image, in many known technology documents, had disclosed.For instance, see also Fig. 4, Fig. 4 is the color range distribution map (histogram) of this view data, this is about to a plurality of pixels of this view data, make distribution map according to its brightness value (as the GTG value) and the pixel number that corresponds to this brightness value, wherein this distribution can be divided into three brightness section, this first brightness section is the brightness section of dark space, this second brightness section is the brightness section in clear zone, and the 3rd brightness section belongs to the central brightness interval, can be defined voluntarily by the user as for the boundary x of this first brightness section and the 3rd brightness section and the boundary y of the 3rd brightness section and this second brightness section.In general work as the brightness range of this view data between 0～2
LThe time (L is a positive integer, as L=8), x can be 2
L25%～40%, and y can be 2
L75%～85%.When this view data meets following three conditions simultaneously, judgment means 18 judges that promptly this view data is a backlight image: in (1) this view data, ratio between whole number of pixels of the number of pixels of this first brightness section and this view data, and in this view data between the ratio of whole number of pixels of the number of pixels of this second brightness section and this view data, respectively greater than special ratios (as 3%); (2) in this view data, ratio between whole number of pixels of the number of pixels of this first brightness section and this view data, with in this view data between the ratio of whole number of pixels of the number of pixels of this second brightness section and this view data, both summations are greater than special ratios (as 70%); (3) in this view data between the number of pixels of this first brightness section, with unequal in this view data between the number of pixels of this second brightness section.By above-mentioned condition, whether the number of pixels difference of examining and determine the clear zone of this view data and dark space is excessive, if, can judge that then this view data is a backlight image, if not, judge that then this view data is not a backlight image.
Afterwards, average brightness calculation element 20 can be according in this view data, and the Luminance Distribution between a plurality of pixels of this first brightness section calculates this first average brightness C
1, and according in this view data, the Luminance Distribution between a plurality of pixels of this second brightness section calculates this second average brightness C
2As for calculating this first average brightness C
1Method, the minimum luminance value of this first brightness section of can serving as reasons up adds up half to the number of pixels of this first brightness section, draws corresponding this first average brightness C thus
1, perhaps calculate the weighted average of all pixel intensity and number in this first brightness section, draw this first average brightness C thus
1In like manner calculate this second average brightness C
2Method, the minimum luminance value of this second brightness section of can serving as reasons up adds up half to the number of pixels of this second brightness section, draws corresponding this second average brightness C thus
2, perhaps calculate the weighted average of all pixel intensity and number in this second brightness section, draw this second average brightness C thus
2
As in the step 108, this first brightness critical values C
1The account form of+σ can utilize input module 32 to import the σ value voluntarily by the user, adds up this first average brightness C again
1And draw, or can be in image processing system 10, the default [C that drops on
1-σ, C
1+ σ] number of pixels all number of pixels of accounting for this first brightness section when special ratios (for example 90%) and draw σ.Under most of situation, because this first average brightness C
1Very near initial point (minimum luminance value of this first brightness section) and C
1-σ can not be negative value, so the time σ=C
1
Next definable reference value r and luminance compensation value Y, reference value r is defined as follows, and wherein i is a brightness value:
d
1＝|C
1-i|，d
2＝|C
2-i|
Luminance compensation value Y is defined as follows:
Wherein C is this compensating parameter, can utilize input module 32 to import voluntarily by the user,, wherein more then represent compensatory zone big more when the C value, perhaps can set this compensating parameter C is this first average brightness C
1With this second average brightness C
2Average, thus according to C
1With C
2Value is adjusted this compensating parameter C.
Must obtain afterwards luminance compensation value Y in i ∈ [0, C
1+ σ] in maximum, with the upper limit as the image compensation scope, through computing, the maximum of luminance compensation value Y can appear at works as i=C
1Or i=C
1+ σ is so only need calculate i=C
1With i=C
1Luminance compensation value Y during+σ, and can save unnecessary amount of calculation.Work as i=C
1The time, this first compensation Y
1As follows:
Y
1＝C
1+C
Work as i=C
1During+σ, this second compensation Y
2As follows:
In step 112 and 114, compensate for brightness value calculation apparatus 22 can calculate this first compensation Y respectively
1And this second compensation Y
2, work as i=C because the maximum of luminance compensation value Y can appear at as previously mentioned
1Or i=C
1+ σ is so compensation comparison means 24 is understood relatively this first compensation Y in step 116
1With this second compensation Y
2, produce maximum compensation B thus, should maximum compensation B be this first compensation Y wherein
1With this second compensation Y
2Both maximums.
The adjustment that just must calculate the view data between between this minimum compensation b (can be set up on their own by the user) and this maximum compensation B at last is brightness value Y later
Out, adjust brightness value Y later
OutCan draw by following relational expression:
Then can import as for this minimum compensation b and this γ value by input module 32, wherein should minimum compensation b much smaller than this maximum compensation B, for instance, see also Fig. 5, Fig. 5 is the character used in proper names and in rendering some foreign names agate fair curve figure after this view data of this embodiment of the invention is passed through compensation deals, solid line partly is the character used in proper names and in rendering some foreign names agate fair curve after the process compensation deals, and dotted portion is the character used in proper names and in rendering some foreign names agate fair curve of handling without overcompensation, when setting b=10, γ=2, and during this maximum compensation B=200 that compensation comparison means 24 is produced, can draw character used in proper names and in rendering some foreign names agate fair curve as shown in Figure 5, by finding out among the figure that this view data only compensates adjustment at this minimum compensation b and this maximum compensation B interval, as for then not adjusted (slope of character used in proper names and in rendering some foreign names agate fair curve is 1) greater than the view data of this maximum compensation B.The present invention is through the character used in proper names and in rendering some foreign names agate fair curve after the compensation deals, and at the color range intersection (this maximum compensation B) of image compensation, it is discontinuous the section of causing to differ from excessive color range, and can keep the smoothness of image tonescale, and then keeps the quality of image processing.At last, processing unit 26 can be according to the view data of calculate between between this minimum compensation b and this maximum compensation B, through adjusting brightness value Y later
Out, control display module 28 shows through adjusting view data later.
In addition, backlight image backoff algorithm of the present invention only needs to carry out twice division arithmetic and (is carrying out Y
2And Y
OutDuring computing), and 2 (B-b)+1 time multiplyings (o'clock are carried out Y in γ=2
2And Y
OutDuring computing), compared to prior art, the present invention can save amount of calculation effectively.
Compared to prior art, the present invention handles the method and the image processing system of image, can effectively solve prior art compensate for backlight image and cause remarkable discontinuous problem at the color range intersection, and can keep the smoothness of image tonescale, and then keep and handle the quality of image afterwards, moreover algorithm of the present invention can save amount of calculation effectively, so for taking into account the backlight image compensation method of image quality and calculation cost.
The above only is the preferred embodiments of the present invention, and all equalizations of being done according to the present invention change and modify, and all should belong to the covering scope of patent of the present invention.
The primary clustering symbol description
10 image processing systems, 12 image input modules
14 camera lenses, 16 imageing sensors
18 judgment means, 20 average brightness calculation elements
22 compensate for brightness value calculation apparatus, 24 compensation comparison means
26 treating apparatus, 28 display modules
30 memory modules, 32 input modules
Step 100,102,104,106,108,110,112,114,116,118,120,122
Claims (40)
1. method of handling image, it comprises the following step:
(a) input image data, it comprises a plurality of pixels;
(b) provide first brightness section and second brightness section;
(c) draw first average brightness according to a plurality of pixels between described first brightness section in the described view data;
(d) draw second average brightness according to a plurality of pixels between described second brightness section in the described view data;
(e) draw first brightness critical values according to described first average brightness;
(f) parameter that affords redress;
(g) calculate first compensation according to described first average brightness and described compensating parameter;
(h) according to described first brightness critical values, described first average brightness, described second average brightness, and described compensating parameter calculates second compensation;
(i) comparative result according to described first compensation and described second compensation draws maximum compensation; And
(j) brightness value of the view data between between described minimum compensation and described maximum compensation according to minimum compensation and described maximum compensation adjustment.
2. method according to claim 1, it also comprises judges whether described view data is backlight image.
3. method according to claim 2, wherein in the described view data between the ratio of whole number of pixels of the number of pixels of described first brightness section and described view data, and in the described view data between the ratio of whole number of pixels of the number of pixels of described second brightness section and described view data, during respectively greater than special ratios, judge that described view data is a backlight image.
4. method according to claim 2, wherein in the described view data between the ratio of whole number of pixels of the number of pixels of described first brightness section and described view data, with in the described view data between the summation of the ratio of whole number of pixels of the number of pixels of described second brightness section and described view data, during greater than special ratios, judge that described view data is a backlight image.
5. method according to claim 1, wherein step (c) comprises by the minimum luminance value of described first brightness section and up adds up to the number of pixels of described first brightness section half, draws corresponding described first average brightness thus.
6. method according to claim 1, wherein step (c) comprises the weighted average of calculating interior all pixel intensity of described first brightness section and number, draws described first average brightness thus.
7. method according to claim 1, wherein step (d) comprises by the minimum luminance value of described second brightness section and up adds up to the number of pixels of described second brightness section half, draws corresponding described second average brightness thus.
8. method according to claim 1, wherein step (d) comprises the weighted average of calculating interior all pixel intensity of described second brightness section and number, draws described second average brightness thus.
9. method according to claim 1, it is the summation of described first average brightness and described compensating parameter in first compensation described in the step (g).
10. method according to claim 1, wherein step (f) comprises according to described first average brightness and described second average brightness and produces described compensating parameter.
11. method according to claim 10, wherein said compensating parameter are (described first average brightness+described second average brightness)/(positive integer).
12. method according to claim 10, wherein said positive integer are 2.
13. method according to claim 1, its in second compensation described in the step (h) be (described first brightness critical values)+| described second average brightness-described first brightness critical values |/(described second average brightness-described first average brightness) * (described compensating parameter).
14. method according to claim 13, wherein said compensating parameter are (described first average brightness+described second average brightness)/2.
15. method according to claim 1, it is the maximum of described first compensation and described second compensation in maximum compensation described in the step (i).
16. method according to claim 1, it also comprises provides γ value, and the brightness value after adjusting described in the step (j) draws by following equation:
Later brightness value=described maximum compensation of described adjustment-(described maximum compensation-before adjusting brightness value)
γ/ (described maximum compensation-described minimum compensation)
(γ-1)
17. method according to claim 16, wherein said γ value is 2.
18. method according to claim 1, it also comprises the brightness value of not adjusting the view data outside described minimum compensation and the described maximum compensation interval.
19. an image processing system, it includes:
Image input module is used for input image data;
The average brightness calculation element is used for calculating first average brightness according to a plurality of pixels between first brightness section in the described view data, and calculates second average brightness according to a plurality of pixels between second brightness section in the described view data;
The compensate for brightness value calculation apparatus, be used for calculating first compensation, and calculate second compensation according to first brightness critical values, described first average brightness, described second average brightness and described compensating parameter according to described first average brightness and compensating parameter;
The compensation comparison means is used for more described first compensation and described second compensation to produce maximum compensation; And
Processing unit, the adjustment that is used for calculating the view data between between described minimum compensation and described maximum compensation according to minimum compensation and described maximum compensation is brightness value later.
20. image processing system according to claim 19, wherein said image input module are the capturing images module.
21. image processing system according to claim 20, wherein said capturing images module comprises: camera lens is used for receiving light; And imageing sensor, the described light that is used for described camera lens is received converts electric signal to, produces described view data thus.
22. image processing system according to claim 19, it also comprises judgment means, is used for judging whether described view data is backlight image.
23. image processing system according to claim 22, wherein when in the described view data in the ratio of whole number of pixels of the number of pixels of described first brightness section and described view data and described view data between the ratio of whole number of pixels of the number of pixels of described second brightness section and described view data during respectively greater than special ratios, described judgment means judges that described view data is a backlight image.
24. image processing system according to claim 22, wherein when in the described view data in the ratio of whole number of pixels of the number of pixels of described first brightness section and described view data and described view data between the summation of the ratio of whole number of pixels of the number of pixels of described second brightness section and described view data during greater than special ratios, described judgment means judges that described view data is a backlight image.
25. image processing system according to claim 19, wherein said average brightness calculation element is used for the minimum luminance value of described first brightness section is up added up to the number of pixels of described first brightness section half, calculates corresponding described first average brightness thus.
26. image processing system according to claim 19, wherein said average brightness calculation element are used for calculating the weighted average of interior all pixel intensity of described first brightness section and number, draw described first average brightness thus.
27. image processing system according to claim 19, wherein said average brightness calculation element is used for the minimum luminance value of described second brightness section is up added up to the number of pixels of described second brightness section half, calculates corresponding described second average brightness thus.
28. image processing system according to claim 19, wherein said average brightness calculation element are used for calculating the weighted average of interior all pixel intensity of described second brightness section and number, draw described second average brightness thus.
29. image processing system according to claim 19, it also comprises input interface, is used for importing the data that correspond to described compensating parameter.
30. image processing system according to claim 19, it also comprises input interface, is used for importing the data that correspond to described first brightness critical values.
31. image processing system according to claim 19, wherein said compensate for brightness value calculation apparatus is used for calculating the summation of described first average brightness and described compensating parameter, draws described first compensation thus.
32. image processing system according to claim 31, wherein said compensating parameter are (described first average brightness+described second average brightness)/2.
33. image processing system according to claim 19, wherein said compensate for brightness value calculation apparatus be used for calculating (described first brightness critical values)+| described second average brightness-described first brightness critical values |/(described second average brightness-described first average brightness) * (described compensating parameter) draws described second compensation thus.
34. image processing system according to claim 33, wherein said compensating parameter are (described first average brightness+described second average brightness)/2.
35. image processing system according to claim 19, wherein said maximum compensation are the maximum of described first compensation and described second compensation.
36. image processing system according to claim 19, it also comprises input interface, is used for importing the γ value, and wherein said adjustment brightness value later draws by following equation:
Described adjustment is brightness value=described maximum compensation-(described maximum compensation-brightness value before not adjusting) later
γ/ (described maximum compensation-described minimum compensation)
(γ-1)
37. image processing system according to claim 36, wherein said γ value is 2.
38. image processing system according to claim 19, it also comprises display module, is used for showing through adjusting view data later.
39. image processing system according to claim 19, wherein said average brightness calculation element, described compensate for brightness value calculation apparatus and described compensation comparison means are program code, described image processing system also comprises memory module, is used for storing described average brightness calculation element, described compensate for brightness value calculation apparatus and described compensation comparison means.
40. image processing system according to claim 19, it is digital camera, mobile phone or computer system.
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101873433B (en) * | 2009-04-27 | 2012-06-06 | 上海乐金广电电子有限公司 | Automatic backlight adjusting device of camera and method thereof |
| CN105096257A (en) * | 2014-04-16 | 2015-11-25 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN107610669A (en) * | 2017-10-30 | 2018-01-19 | 青岛海信电器股份有限公司 | Image gray-scale level luminance compensation method and device |
| CN117495722A (en) * | 2023-12-25 | 2024-02-02 | 青岛天仁微纳科技有限责任公司 | Image processing method for nanoimprint lithography |
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2006
- 2006-11-29 CN CNA2006101606230A patent/CN101193212A/en active Pending
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|---|---|---|---|---|
| CN101873433B (en) * | 2009-04-27 | 2012-06-06 | 上海乐金广电电子有限公司 | Automatic backlight adjusting device of camera and method thereof |
| CN105096257A (en) * | 2014-04-16 | 2015-11-25 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN105096257B (en) * | 2014-04-16 | 2018-03-27 | 联想(北京)有限公司 | Information processing method and electronic equipment |
| CN107610669A (en) * | 2017-10-30 | 2018-01-19 | 青岛海信电器股份有限公司 | Image gray-scale level luminance compensation method and device |
| CN117495722A (en) * | 2023-12-25 | 2024-02-02 | 青岛天仁微纳科技有限责任公司 | Image processing method for nanoimprint lithography |
| CN117495722B (en) * | 2023-12-25 | 2024-03-29 | 青岛天仁微纳科技有限责任公司 | Image processing method for nanoimprint lithography |
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