CN103997611A - Method for suppressing image fixed-pattern noise based on noise template - Google Patents
Method for suppressing image fixed-pattern noise based on noise template Download PDFInfo
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- CN103997611A CN103997611A CN201410077941.5A CN201410077941A CN103997611A CN 103997611 A CN103997611 A CN 103997611A CN 201410077941 A CN201410077941 A CN 201410077941A CN 103997611 A CN103997611 A CN 103997611A
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Abstract
The invention relates to a digital image processing technology, in particular to a method for suppressing image fixed-pattern noise based on a noise template. The method mainly solves the technical problems that in the fixed-pattern noise suppressing process in the prior art, the integral correction is only carried out by aiming at a pixel column or a pixel block, and the differences among single pixels in the region are ignored. According to the method, the noise template of an image sensor is obtained through pre-collection; and after the sensor obtains the image, the template is utilized for performing real-time matching on the image noise, so the relevancy between image information after noise background removal and the noise template reaches the minimum.
Description
Technical field
The present invention relates to a kind of digital image processing techniques, especially relate to a kind of inhibition method of the image fixed pattern noise based on noise template.
Background technology
Noise is the key factor that affects photo-sensitive cell image quality, the acquisition of image need to pass through light signal collection, opto-electronic conversion, the signal of telecommunication amplification, read, the process such as analog-to-digital conversion (A/D conversion), due to the manufacturing process of image-forming component and reading circuit, imageing sensor be there are differences between photosensitive pixel unit, this species diversity has just formed the fixed pattern noise (FPN, fixed pattern noise) of image.
FPN is extensively present in CMOS imageing sensor, suppresses FPN noise and conventionally adopts common double-sampling, in analog domain, is used for eliminating FPN noise by the difference of row differential amplifier and output differential amplifier.But the two paths of differential signals outgoing route of eliminating FPN noise in analog domain can not be consistent completely, and therefore difference exists certain error.Under the restriction of this external pel spacing, the design of row differential amplifier and placement are all comparatively difficult, and its structure relative complex, can introduce more random noise simultaneously.
In the described fixed pattern noise cancelling circuits of patent such as CN101160952, CN101212562, CN101277386, all the difference taking elimination row to photo-sensitive cell, as object, does not solve the difference problem of single photosensitive pixel element.
A kind of fixed pattern noise inhibition method of utilizing image processing software has been described in CN102663714A patent of invention, improve the improvement of visual effect of general image by histogram equalization and nonlinear gray level mapping algorithm, this method is for the smaller image of noise, and its noise suppression effect is not obvious.
Summary of the invention
The present invention is to provide a kind of inhibition method of the image fixed pattern noise based on noise template, it is mainly to solve in the process of inhibition of the existing fixed pattern noise of prior art, only do entirety correction for pixel column or block of pixels, ignored in region the technical problem of difference between single pixel.
Above-mentioned technical problem of the present invention is mainly solved by following technical proposals:
The removing method of a kind of image fixed pattern noise of the present invention, is characterized in that described method comprises:
A. imageing sensor is placed in to temperature control box, by Uniform Illumination imageing sensor, records the response of each photosensitive pixel unit, as the fixed pattern noise template at this temperature of this transducer;
B. fixed pattern noise template obtains and record in-40 DEG C to+80 DEG C temperature ranges;
C. the collection of noise template adopts the method that dot interlace gathers, and the noise template at other temperature obtains by interpolation algorithm;
D. gather after image at transducer, according to the fixed pattern noise template at this temperature, the noise in image is mated;
E. in the present invention, the process of noise matching is: gain and the deviator initial value of setting fixed pattern noise template;
F. in the present invention, the process of noise matching is: utilize gain and the deviator set, generate a width fixed pattern noise image, from the real image obtaining, deduct this fixed pattern noise image, the image information after calculating removal noise and the coefficient correlation of fixed pattern noise template;
G. in the present invention, the process of noise matching is: an additional change amount in gain, and repeating step f, if coefficient correlation diminishes, continues additional this change amount, deducts on the contrary this change amount, until obtain the minimum value of coefficient correlation, obtains optimum gain coefficient;
H. in the present invention, the process of noise matching is: an additional change amount in deviator, and repeating step f, if coefficient correlation diminishes, continues additional this change amount, deducts on the contrary this change amount, until obtain the minimum value of coefficient correlation, obtains optimum deviator coefficient;
I. utilize the optimum gain coefficient and the optimum deviator coefficient calculations that obtain to be fixed modal noise image, and in original image, deduct this fixed pattern noise image, obtain the image after noise suppressed;
J. in the present invention, the process of noise matching is: more convenient in order to make to calculate, the matching operation of step e to step h carried out in a certain region can getting in image, and operation result is applied to entire image.
The present invention has the fixed pattern noise template of having utilized different temperatures hypograph transducer, to picture noise real-time matching, coefficient correlation by computed image information and fixed pattern noise template is determined noise signal, improve image imaging quality, do not take hardware resource, software is realized, and computational methods are simple, operation time is short, possesses the features such as real-time.
Brief description of the drawings
Accompanying drawing 1 is a kind of principle schematic of the present invention.
Embodiment
Below by embodiment, and by reference to the accompanying drawings, technical scheme of the present invention is described in further detail.
Embodiment: the inhibition method of a kind of image fixed pattern noise based on noise template of this example, as Fig. 1, the steps include:
A. imageing sensor is placed in to temperature control box, utilizes optical integrating-sphere to imageing sensor Uniform Illumination, record the response of each photosensitive pixel unit, as the fixed pattern noise template at this temperature of this transducer;
B. regulate the temperature of temperature control box, in-40 DEG C to+80 DEG C temperature ranges, preserve the fixed pattern noise template N of imageing sensor every 10 DEG C of records
0(x, y, t), wherein x, y is respectively the horizontal and vertical pixel coordinate of image, and t is sensor temperature, and for the image of 384 × 288 pixels, the excursion that the excursion of x is 1 ~ 384, y is 1 ~ 288;
C. gather when image at transducer, obtain current sensor temperature and be+23 DEG C, transfer+20 DEG C with+30 DEG C at fixed pattern noise template, utilize linear interpolation algorithm, the fixed pattern noise template N at obtaining+23 DEG C
0(x, y, 23);
D. define gain G=0.5 and deviator B=10 of fixed pattern noise template, picture noise N (x, y, 23)=0.5N
0(x, y, 23)+10;
E. the image information I from obtaining in real time
0subtracted image noise in (x, y, 23), obtains the image information I (x, y, 23) after denoising,
I(x,y,23)=?I
0(x,y,23)-?N(x,y,23)，
Wherein x, y definition is identical with step b;
F. to I (x, y, 23) and N
0(x, y, 23) obtain in gain G=0.5 after doing correlation computations, the coefficient R (0.5,10) under deviator B=10 condition;
G. an additional change amount △ G=0.05 in the gain G of fixed pattern noise template, be G=0.55, B=10, calculate R (0.55,10), judge R (0.55,10) whether be less than a value R (0.5 who calculates, 10), if so, on G=0.55 basis, continue additional △ G=0.05; If not explanation need to deduct △ G=0.05 on G=0.5 basis; The like, finding the minimum value of R (G, 10), the optimal value of corresponding G is 0.7;
H. utilize same computational methods, find the minimum value of R (0.7, B), the optimal value of corresponding B is 25;
I. according to the optimum gain coefficient G=0.7 and optimum deviator coefficient B=25 that obtain, obtain fixed pattern noise N (x, y, the 23)=0.7N of image
0(x, y, 23)+25, the image after noise suppressed, I (x, y, 23)=I
0(x, y, 23)-0.7N
0(x, y, 23)+25, realize the inhibition of image fixed pattern noise list Pixel-level.
The foregoing is only specific embodiments of the invention, but architectural feature of the present invention is not limited to this, any those skilled in the art is in the field of the invention, and the variation of doing or modification are all encompassed among the scope of the claims of the present invention.
Claims (1)
1. an inhibition method for the image fixed pattern noise based on noise template, is characterized in that described method comprises:
A. imageing sensor is placed in to temperature control box, by Uniform Illumination imageing sensor, records the response of each photosensitive pixel unit, as the fixed pattern noise template at this temperature of this transducer;
B. fixed pattern noise template obtains and record in-40 DEG C to+80 DEG C temperature ranges;
C. the collection of noise template adopts the method that dot interlace gathers, and the noise template at other temperature obtains by interpolation algorithm;
D. gather after image at transducer, according to the fixed pattern noise template at this temperature, the noise in image is mated;
E. in the present invention, the process of noise matching is: gain and the deviator initial value of setting fixed pattern noise template;
F. in the present invention, the process of noise matching is: utilize gain and the deviator set, generate a width fixed pattern noise image, from the real image obtaining, deduct this fixed pattern noise image, the image information after calculating removal noise and the coefficient correlation of fixed pattern noise template;
G. in the present invention, the process of noise matching is: an additional change amount in gain, and repeating step f, if coefficient correlation diminishes, continues additional this change amount, deducts on the contrary this change amount, until obtain the minimum value of coefficient correlation, obtains optimum gain coefficient;
H. in the present invention, the process of noise matching is: an additional change amount in deviator, and repeating step f, if coefficient correlation diminishes, continues additional this change amount, deducts on the contrary this change amount, until obtain the minimum value of coefficient correlation, obtains optimum deviator coefficient;
I. utilize the optimum gain coefficient and the optimum deviator coefficient calculations that obtain to be fixed modal noise image, and in original image, deduct this fixed pattern noise image, obtain the image after noise suppressed;
J. in the present invention, the process of noise matching is: more convenient in order to make to calculate, the matching operation of step e to step h carried out in a certain region can getting in image, and operation result is applied to entire image.
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| CN105430301A (en) * | 2014-08-26 | 2016-03-23 | 杭州海康威视数字技术股份有限公司 | Method for eliminating fixed pattern noise of image sensor and device thereof |
| CN106851140A (en) * | 2016-12-05 | 2017-06-13 | 宁波大学 | A kind of digital photo images source title method of use spatial domain smothing filtering |
| CN108010028A (en) * | 2017-12-27 | 2018-05-08 | 北京航空航天大学 | A kind of star observation method and device for satellite survey meter |
| CN112393804A (en) * | 2019-08-02 | 2021-02-23 | 杭州海康微影传感科技有限公司 | Image correction method and device |
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105430301A (en) * | 2014-08-26 | 2016-03-23 | 杭州海康威视数字技术股份有限公司 | Method for eliminating fixed pattern noise of image sensor and device thereof |
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| CN106851140B (en) * | 2016-12-05 | 2019-08-20 | 宁波大学 | A kind of digital photo images source title method using airspace smothing filtering |
| CN108010028A (en) * | 2017-12-27 | 2018-05-08 | 北京航空航天大学 | A kind of star observation method and device for satellite survey meter |
| CN108010028B (en) * | 2017-12-27 | 2020-07-03 | 北京航空航天大学 | Fixed star detection method and device for stationary orbit satellite detector |
| CN112393804A (en) * | 2019-08-02 | 2021-02-23 | 杭州海康微影传感科技有限公司 | Image correction method and device |
| CN112393804B (en) * | 2019-08-02 | 2022-04-05 | 杭州海康微影传感科技有限公司 | Image correction method and device |
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