CN102629989B - Environmental irradiation removing photographic method - Google Patents
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Abstract
The invention discloses an environmental irradiation removing photographic method, which comprises the following steps of (1) using a digital photographic device to photograph a picture I and a picture II for an object to be shot; (2) calculating a corresponding pixel brightness value V3 of a corresponding color channel in a picture III only under the condition of active irradiation according to every pixel brightness value V2 of every color channel in the picture II and a corresponding pixel brightness value V1 of a corresponding color channel in the picture I; and (3) modifying every pixel brightness value of every color channel in a basic image to the corresponding pixel brightness value V3 of the corresponding color channel which is calculated in the step 2 and creating the picture III. The method can eliminate effectively brightness effect of environmental irradiation on photographic images and remove the effect of the environmental irradiation on photo brightness under the condition that an active irradiation condition is weaker than the environmental irradiation.
Description
Technical field
The present invention relates to a kind of method for imaging.
Technical background
First image identification system needs to take pictures to being identified object, then just can carry out follow-up work.
For improving the effect of image identification system, in a lot of situations, all need to try every possible means to eliminate the adverse effect of ambient lighting to subject.Generally, conventionally adopt and block surround lighting to alleviate ambient light effects; Increase high strength active light source simultaneously, further force down natural daylight intensity proportion.
These class methods are not only loaded down with trivial details, and cannot eliminate the impact of ambient lighting completely.And no matter whether active light source is visible ray, excessive healthy with regard to entail dangers to operator or other related personnel of intensity, also can cause light pollution.
Summary of the invention
The technical problem to be solved in the present invention is: provide the decyclization border of the brightness impact of the auxiliary photograph of a kind of effective removal environment on photographs auxiliary according to method for imaging.
In order to solve the problems of the technologies described above, the present invention includes following steps:
(1) with digital photographic arrangement to shot object take pictures I and photo II, the shooting condition of photo I and photo II is except auxiliary photograph condition is different, other shooting condition is identical, and photo I is taken under the condition of the auxiliary photograph of environment, and photo II is taken under the condition of the auxiliary photograph of environment and the auxiliary photograph of active;
(2) only calculate the respective pixel brightness value V3 of corresponding color passage in auxiliary picture III of taking under condition initiatively according to the respective pixel brightness value V1 of corresponding color passage in the brightness value V2 of each pixel of each Color Channel in photo II and photo I;
V3 computational methods are one of following three methods:
Method one: according to the intensity transfer function V=Cam(L of the each Color Channel of digital photographic arrangement) calculate the V3 of this Color Channel, process the intensity transfer function V=Cam(L of each passage) be digital photographic arrangement at the intensity transfer function of this passage under I and photo II condition of taking pictures, calculate L1=Cam
-1(V1), L2=Cam
-1(V2), L3=L2-L1, V3=Cam(L3); Function V=Cam(L) in, V represents the brightness value of the fixed pixel of constant color passage, L represents the illumination of corresponding region, subject surface;
Method two: when the V2 of the V1 of all colours passage in photo I and all colours passage of photo II is at [Va, Vb] in scope, 0≤Va < Vb≤255, utilize formula V3=V2-V1 to calculate, when having, the V1 of all colours passage in photo I or the V2 of photo II all colours passage exceed [Va, Vb] outside scope, employing method one is calculated;
Method three: utilize formula V3=V2-V1 to calculate;
(3) taking photo I as basis, or taking photo II as basis, or taking blank image as basis, the brightness value of each pixel of the each Color Channel of base image is revised as to the V3 of the respective channel respective pixel that step (2) calculates, generate photo III.
To the processing of photochrome, in order to obtain better effect, described photo I and photo II are the photo of RGB color mode, the auxiliary photograph of described environment and initiatively auxiliary photograph are the auxiliary photograph of visible ray, described intensity transfer function V=Cam(L) be the intensity transfer function under the illumination condition identical with the auxiliary colour temperature of the auxiliary photograph of described environment.For the photo of RGB color mode, illumination colour temperature also has a certain impact to the brightness value of pixel, as intensity transfer function V=Cam(L) while being the function under the illumination condition identical with the auxiliary colour temperature of the auxiliary photograph of described environment, calculate by this function, can remove more accurately the impact of surround lighting comparison film.
For the photo of RGB color mode, when surround lighting colour temperature and camera colour temperature arrange when identical, three Color Channel intensity transfer functions are the same, described environment is auxiliary arrange according to colour temperature and digital photographic arrangement colour temperature identical, the intensity transfer function V=Cam(L of one of them in three Color Channels of each Color Channel use) as the intensity transfer function of this passage.
Described photo I and photo II are black and white gray scale pictures, and the auxiliary photograph of described environment and initiatively auxiliary photograph are the auxiliary photograph of visible ray, described intensity transfer function V=Cam(L) be auxiliary according to the intensity transfer function under condition at visible ray.For taking black and white gray scale pictures, the colour temperature of visible ray does not affect the bright value of pixel, in the situation that not considering colour temperature, also can obtain reasonable treatment effect.
In order to improve image processing speed, intensity transfer function V=Cam(L in described step (2)) to there is the sequence of values performance of multiple concrete corresponding points, the value of V is integer all in 0-255 scope, and asking L or ask the computational methods of V with L with V is to search from sequence of values.
Intensity transfer function V=Cam(L in described step (2)) to there is the sequence of values performance of multiple concrete corresponding points, while asking L with V, first judge that V is whether in sequence of values, be, directly obtain the L corresponding with V, no, calculate L by interpolation computing method, while asking V with L, first judge that L whether in sequence of values, is directly to obtain the V corresponding with L, no, calculate V by interpolation computing method.
For applied widely, described auxiliary photograph condition is visible ray, imaging ripple or imaging ray.
The invention has the beneficial effects as follows: method for imaging of the present invention is first taken at two kinds of auxiliary pictures that take under condition, process again the photo of taking under two kinds of conditions, from auxiliary take and environment is auxiliary take the impact of removing the brightness of the auxiliary photograph of environment comparison film in the picture of taking condition initiatively, thereby generate new photo.Method for imaging of the present invention can effectively be eliminated the brightness impact of the auxiliary photograph of environment on photographs, and the present invention can be weaker than environment according to condition auxiliary according under condition initiatively auxiliary, removes the auxiliary impact according to comparison film brightness of environment.Therefore, the unnecessary initiatively intensity of auxiliary photograph that strengthens in order to eliminate the impact of the auxiliary photograph of environment, has reduced the initiatively harm of auxiliary photograph to operating personnel.
Brief description of the drawings
The structure chart of Fig. 1 is the specific embodiment of the invention one employing camera;
Fig. 2 is the flow chart of the specific embodiment of the invention one method for imaging;
A kind of brightness response curve of the 10D of Fig. 3 Canon slr camera;
A kind of brightness response curve of Fig. 4 Nikon D5000 slr camera;
In figure: 1, camera module, 2, auxiliary lighting module, 3, control module, 3-1, photography control module, 3-2, gamma correction module, 3-3, memory module, 3-4, auxiliary according to control module.
Embodiment
Specific embodiment one
The surround lighting method for imaging that goes of this specific embodiment adopts one as shown in Figure 1 to remove surround lighting camera, and this device comprises camera module 1, auxiliary lighting module 2 and control module 3.
Camera module 1, for shot object is photographed, obtains view data.
Auxiliary lighting module 2, for initiatively auxiliary photograph is provided to shot object, as: be the lighting device that visible ray can be provided, or electromagnetic wave or other wave producer for imaging ripple are provided, or be provided as the ray generator of picture ray.
Control module 3 comprises photography control module 3-1, auxiliary according to control module 3-4, memory module 3-3 and gamma correction module 3-2.Photography control module 3-1 is used for controlling camera module 1, and camera module 1 receives that the control command of photography control module 3-1 starts shooting.Auxiliaryly be used for controlling auxiliary lighting module 2 according to control module 3-4, auxiliary lighting module 2 receives that the auxiliary control command according to control module 3-4 is opened or original auxiliary auxiliary according to intensity according to increasing under intensity.Memory module 3-3 is for storing the photo that camera module 1 is taken.Gamma correction module 3-2 is for extracting the brightness value of auxiliary each pixel according to the each Color Channel of photographs under condition of the auxiliary photograph of active and environment and calculating the only brightness value in the auxiliary respective pixel according to the photographs corresponding color passage under condition of active at the brightness value of the auxiliary respective pixel according to the photographs corresponding color passage under condition of environment, taking initiatively auxiliary photograph and environment auxiliary according to the photographs under condition as basis, or taking environment auxiliary according to the photographs under condition as basis, or taking blank image as basis, the brightness value of each pixel of the each passage of base image is revised as to the brightness value of the respective pixel of the respective channel that gamma correction module 3-2 calculates, generate new view data.And newly-generated view data is outputed in memory module 3-3 and stored.
As shown in Figure 2, the surround lighting method for imaging that goes of this specific embodiment comprises the steps:
(1) start photography control module 3-1, photography control module 3-1 sends and takes instruction to camera module 1, and camera module 1 receives takes instruction, and camera module 1 is taken pictures, obtain the auxiliary picture I of taking under condition of environment, and photo I is stored in memory module 3-3.
(2) start the auxiliary control module 3-4 that shines, the auxiliary control module 3-4 that shines sends open command to auxiliary lighting module 2, after receiving open command, opens auxiliary lighting module 2, again start photography control module 3-1, photography control module 3-1 sends and takes instruction to camera module 1, arranges constant in the situation that camera module 1 is all, and camera module 1 receives takes instruction, obtain initiatively auxiliary photograph and the auxiliary picture II of taking under condition of environment, and photo II is stored in memory module 3-3.
(3) start gamma correction module 3-2, gamma correction module 3-2 extracts photo I and photo II from memory module 3-3, gather the brightness value of all pixels of photo I and photo II all colours passage, calculate the respective pixel brightness value V3 of corresponding color passage in auxiliary picture III of taking under condition initiatively according to the respective pixel brightness value V1 of corresponding color passage in the brightness value V2 of each pixel of each Color Channel in photo II and photo I;
The computational methods of V3 comprise that following step is poly-:
A from gamma correction module 3-2 camera module 1 in the I parameter of taking pictures, the intensity transfer function V=Cam(L of the corresponding color passage under condition is set) sequence of values in search the L1 that V1 is corresponding.Intensity transfer function V=Cam(L) to have the sequence of values performance of multiple concrete corresponding points, the value of V is integer all in 0-255 scope.
B searches the L2 that V2 is corresponding from aforesaid sequence of values.
C calculates L3, L3=L2-L1.
D searches the V3 that L3 is corresponding from aforesaid sequence of values.
(4) taking photo I as basis, or taking photo II as basis, or taking blank image as basis, the brightness value of each pixel of each Color Channel of base image is revised as to the brightness value L 3 of the respective pixel of the corresponding color passage that step (3) calculates, generate photo III.
Camera module 1 arranges certain situation at photographic parameter, the brightness value V of the fixed pixel of the constant color passage of captured photo changes with the brightness L of corresponding region, subject surface, and the corresponding relation of this V and L is called intensity transfer function V=Cam(L).
Intensity transfer function V=Cam(L) method of measurement
One, device initialize
(1), under operational environment, the parameter such as aperture, shutter of digital photographic arrangement is set to suitable operating state;
(2) parameters such as camera diaphragm shutter are set according to operating state, the intensity transfer function of metric photography device, determines in illumination to be
time camera the luma samples value of each Color Channel
:
Wherein L value progressively increases brightness since 0, till should making V can obtain maximum sampled value under ideal state.For part digital camera, the maximum of V is 255.
Two, the auxiliary concrete operation step according to intensity transfer function method of measurement under condition of visible ray
(1) subject is selected photography Special plaster card;
(2) provide variable illumination white light source, from the most secretly to showing the score into most
individual step changes subject illumination.
value larger, and brightness changes more evenly, measurement result just more can accurately reflect the luminosity response characteristics of camera comprehensively;
(3) in step
in, utilize light meter measurement standard object surface illumination
;
(4) in step
in, take standard object with camera, obtain the luma samples value of tri-passages of RGB
; For the photo of ash card, when light source color temperature and camera colour temperature arrange when identical, three passages
identical in theory.Following test case is in the time processing
time round the mean value of all pixel intensity of all passages of a photo, result is more accurate like this.
Following table 1 and table 2 are test cases concrete according to said method.
Table 1 (10D of Canon slr camera test result, ISO100, shutter 1/30s, F4.5, RGB color mode, JPG image output format, self-defined white balance, other parameter is the default setting that dispatches from the factory.）
| L(unit: Lux) | V |
| 8 | 0.0 |
| 9 | 0.5 |
| 11 | 1.2 |
| 14 | 1.8 |
| 18 | 2.1 |
| 23 | 2.8 |
| 28 | 3.6 |
| 36 | 4.2 |
| 46 | 5.9 |
| 57 | 7.9 |
| 71 | 9.2 |
| 91 | 12.2 |
| 114 | 15.9 |
| 142 | 19.0 |
| 182 | 23.9 |
| 228 | 31.2 |
| 285 | 36.6 |
| 364 | 46.0 |
| 456 | 57.5 |
| 570 | 65.8 |
| 759 | 79.6 |
| 911 | 96.2 |
| 1140 | 107.1 |
| 1520 | 124.3 |
| 1820 | 141.3 |
| 2280 | 153.9 |
| 3040 | 173.7 |
| 3510 | 194.1 |
| 4560 | 208.0 |
| 5700 | 225.0 |
| 7600 | 238.9 |
| 9100 | 246.0 |
| 11400 | 252.8 |
| 13700 | 254.7 |
| 22800 | 255.0 |
Fig. 3 is the intensity transfer function curve (line in curve between 2 is straight line) generating according to table 1 test result.
Table 2 (Nikon D5000 slr camera test result, ISO200, shutter 1/30s, F5.3, RGB color mode, JPG image output format, self-defined white balance, other parameter is the default setting that dispatches from the factory.）
| L（Lux） | V |
| 8 | 0.0 |
| 10 | 0.6 |
| 13 | 1.1 |
| 16 | 1.3 |
| 20 | 1.8 |
| 26 | 2.7 |
| 32 | 3.9 |
| 40 | 5.5 |
| 49 | 7.9 |
| 63 | 11.5 |
| 79 | 15.6 |
| 99 | 19.4 |
| 126 | 23.8 |
| 158 | 29.8 |
| 198 | 37.7 |
| 253 | 46.0 |
| 316 | 56.5 |
| 395 | 68.1 |
| 527 | 79.8 |
| 632 | 91.2 |
| 790 | 102.3 |
| 1050 | 114.6 |
| 1260 | 126.2 |
| 1580 | 138.0 |
| 2110 | 148.7 |
| 2430 | 159.3 |
| 3160 | 170.3 |
| 3950 | 182.6 |
| 5270 | 196.1 |
| 6320 | 208.6 |
| 7900 | 219.6 |
| 9480 | 231.3 |
| 12600 | 241.5 |
| 15800 | 250.4 |
| 19000 | 253.0 |
| 25300 | 254.4 |
| 31600 | 255.0 |
Fig. 4 generates brightness response curve (line in curve between 2 is straight line) according to table 2 test result.
According to above-mentioned measurement result, utilize interpolation computing method, can obtain the value of the L that the integer of V between 0-255 is corresponding, form the sequence of values of integer this function of a V between 0-255.This sequence of values is write to luminosity response module, at this test camera, the photo of taking under condition is set for the treatment of camera module.
Generally, camera module is in the time of work, and concrete setting can not change, and when the color mode of photo is RGB pattern, luminosity response module only writes the sequence of values of the intensity transfer function of a passage, intensity transfer function.When photo is other multichannel color mode, the sequence of values of the intensity transfer function that luminosity response module need to write for each passage.
Three, the concrete numerical computation method of intensity transfer function
(1) according to interpolation algorithm basis brightness value arbitrarily
calculating sampling value
.Provide a kind of linear interpolation computational methods below: suppose
codomain be
,
If
,
,
If
,
If
,
(2) according to interpolation algorithm according to sampled value
calculate brightness value
.Provide a kind of linear interpolation computational methods below:
If
,
If
,
If
,
Specific embodiment two
This specific embodiment is that from the difference of specific embodiment one computational methods of V3 are different, and the computational methods of the V3 of this specific embodiment comprise that following step is poly-:
Whether the V2 that a judges the V1 of all colours passage in photo I and all colours passage of photo II all in [50,200] scope, is that execution step b, is not execution step c.[50,250] can be also other number ranges.
B utilizes formula V3=V2-V1 to calculate V3;
C adopts the computational methods of specific embodiment one to calculate V3.
Specific embodiment three
This specific embodiment is that from the difference of specific embodiment one computational methods of V3 are different, and the computational methods of the V3 of this specific embodiment comprise that following step is poly-:
A utilizes formula V3=V2-V1 to calculate V3.
Specific embodiment four
This specific embodiment and the difference of specific embodiment one are the computational methods intensity transfer function V=Cam(L of V3) the form of expression different, this specific embodiment intensity transfer function V=Cam(L) to there is the sequence of values performance of multiple concrete corresponding points, while asking L with V, first judge that V is whether in sequence of values, be, directly obtain the L corresponding with V, no, calculate L by interpolation computing method, while asking V with L, first judge that L is whether in sequence of values, be, directly obtain the V corresponding with L, no, calculate V by interpolation computing method.
The computational methods of the V3 of specific embodiment three are simple, easy to implement, computational speed is fast, makes the processing speed of specific embodiment three pictures fast, can remove to a certain extent the brightness impact of the auxiliary photograph of environment on photographs.The computational methods accuracy of specific embodiment one and specific embodiment four V3 is high, makes embodiment mono-and four remove the better effects if of the brightness impact of the auxiliary photograph of environment on photographs.Because V is when the 50-200, the brightness response curve of various cameras all compares close to straight line, and specific embodiment two has advantages of aforementioned each embodiment.
Above four kinds of specific embodiments can be applied to digital camera, the hand-held communication terminal with camera, the self-service terminal device with camera.
While being applied to the self-service terminal device with camera, in the time taking pictures I, display screen, in normal mode of operation, has certain brightness, and environment is now auxiliary is auxiliary photograph outside surround lighting camera and the auxiliary photograph of display screen according to condition.Taking pictures before II, increase brightness of display screen, the auxiliary photograph of active of the II of taking pictures and environment are auxiliary is auxiliary photograph outside self-service terminal device and the auxiliary photograph of display screen according to condition, initiatively auxiliary photograph is the brightness that display screen increases.
Auxiliary photograph of the present invention is not limited to illumination, and auxiliary can be also ripple or imaging ray for imaging according to condition, removes principle auxiliary identical according to condition removal principle with light.
Method for imaging of the present invention is not limited in all to be implemented by software control, also can adopt the manual mode of processing of part to implement, for example, adopt common digital camera take pictures I and photo II, obtain all pixel brightness values of photo I and photo II all colours passage by image processing software, utilize the arbitrary V3 computational methods manual calculations of specific embodiment one to four V3, then according to the value of all V3 of calculating, generate photo III by image processing software.When manual calculations V3, intensity transfer function can embody with the form of curve.
Claims (7)
1. decyclization border is auxiliary according to a method for imaging, it is characterized in that: comprise the steps:
(1) with digital photographic arrangement to shot object take pictures I and photo II, the shooting condition of photo I and photo II is except auxiliary photograph condition is different, other shooting condition is identical, and photo I is taken under the condition of the auxiliary photograph of environment, and photo II is taken under the condition of the auxiliary photograph of environment and the auxiliary photograph of active;
(2) only calculate the respective pixel brightness value V3 of corresponding color passage in auxiliary picture III of taking under condition initiatively according to the respective pixel brightness value V1 of corresponding color passage in the brightness value V2 of each pixel of each Color Channel in photo II and photo I;
V3 computational methods are one of following two methods:
Method one: according to the intensity transfer function V=Cam(L of the each Color Channel of digital photographic arrangement) calculate the V3 of this Color Channel, process the intensity transfer function V=Cam(L of each passage) be digital photographic arrangement at the intensity transfer function of this passage under I and photo II condition of taking pictures, calculate L1=Cam
-1(V1), L2=Cam
-1(V2), L3=L2-L1, V3=Cam(L3); Function V=Cam(L) in, V represents the brightness value of the fixed pixel of constant color passage, L represents the illumination of corresponding region, subject surface;
The auxiliary concrete operation step according to intensity transfer function method of measurement under condition of visible ray:
(1) subject is selected photography Special plaster card;
(2) provide variable illumination white light source, from the most secretly changing subject illumination, n>1 to showing the score into most n step;
(3), in step I, 1≤i≤n, utilizes light meter measurement standard object surface illumination L
i;
(4), in step I, 1≤i≤n, takes standard object with camera, obtains the luma samples value V of tri-passages of RGB
i;
Method two: when the V2 of the V1 of all colours passage in photo I and all colours passage of photo II is at [Va, Vb] in scope, 0≤Va < Vb≤255, utilize formula V3=V2-V1 to calculate, when having, the V1 of all colours passage in photo I or the V2 of photo II all colours passage exceed [Va, Vb] outside scope, employing method one is calculated;
(3) taking photo I as basis, or taking photo II as basis, or taking blank image as basis, the brightness value of each pixel of the each Color Channel of base image is revised as to the V3 of the respective channel respective pixel that step (2) calculates, generate photo III.
2. decyclization according to claim 1 border is auxiliary according to method for imaging, it is characterized in that: described photo I and photo II are the photo of RGB color mode, the auxiliary photograph of described environment and initiatively auxiliary photograph are the auxiliary photograph of visible ray, described intensity transfer function V=Cam(L) be the intensity transfer function under the illumination condition identical with the auxiliary photograph of described environment colour temperature.
3. decyclization according to claim 2 border is auxiliary according to method for imaging, it is characterized in that: described environment is auxiliary arrange according to colour temperature and digital photographic arrangement colour temperature identical, the intensity transfer function V=Cam(L of one of them in three Color Channels of each Color Channel use) as the intensity transfer function of this passage.
4. decyclization according to claim 1 border is auxiliary according to method for imaging, it is characterized in that: described photo I and photo II are black and white gray scale pictures, the auxiliary photograph of described environment and initiatively auxiliary photograph are the auxiliary photograph of visible ray, described intensity transfer function V=Cam(L) be auxiliary according to the intensity transfer function under condition at visible ray.
5. auxiliary according to method for imaging according to the decyclization border described in any one in claim 1-4, it is characterized in that:
Intensity transfer function V=Cam(L in described step (2)) to have the sequence of values performance of multiple concrete corresponding points, the value of V is integer all in 0-255 scope, asking L or ask the computational methods of V with L with V is to search from sequence of values.
6. auxiliary according to method for imaging according to the decyclization border described in any one in claim 1-4, it is characterized in that:
Intensity transfer function V=Cam(L in described step (2)) to there is the sequence of values performance of multiple concrete corresponding points, while asking L with V, first judge that V is whether in sequence of values, be, directly obtain the L corresponding with V, no, calculate L by interpolation computing method, while asking V with L, first judge that L whether in sequence of values, is directly to obtain the V corresponding with L, no, calculate V by interpolation computing method.
7. auxiliary according to method for imaging according to the decyclization border described in any one in claim 1-4, it is characterized in that: described auxiliary be visible ray, imaging ripple or imaging ray according to condition.
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| CN1627317A (en) * | 2003-12-12 | 2005-06-15 | 北京阳光奥森科技有限公司 | Method for obtaining image of human faces by using active light source |
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| CN1627317A (en) * | 2003-12-12 | 2005-06-15 | 北京阳光奥森科技有限公司 | Method for obtaining image of human faces by using active light source |
| CN101103635A (en) * | 2005-01-11 | 2008-01-09 | 伊斯曼柯达公司 | White balance correction in digital camera images |
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