CN105023256B - A kind of image defogging method and system - Google Patents
A kind of image defogging method and system Download PDFInfo
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- CN105023256B CN105023256B CN201510495589.1A CN201510495589A CN105023256B CN 105023256 B CN105023256 B CN 105023256B CN 201510495589 A CN201510495589 A CN 201510495589A CN 105023256 B CN105023256 B CN 105023256B
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Abstract
The present invention relates to a kind of image defogging method and system, comprise the following steps:Input artwork, i.e. a width colour foggy image；The basic image and levels of detail of the colored foggy image are extracted respectively；Obtain the view data of tri- passages of R, G, B of the basic image；The global atmosphere light and transmissivity of each passage of basic image are asked for respectively；The fog free images of each passage are recovered according to the global atmosphere light and transmissivity of each passage of basic image, so as to obtain fogless basic image；Levels of detail information is added to fogless basic image；The fogless basic image that with the addition of levels of detail information is smoothed and brightness and contrast's enhancing is handled, obtains fogless original image.The present invention disclosure satisfy that the defog effect that requirement of real-time and can has reached.
Description
Technical field
The present invention relates to image defogging method and system.
Background technology
In real life, greasy weather gas has been frequently encountered, and what is shot in the case where there is greasy weather gas has mist picture due to visible
Spend low and be unable to normal use, therefore, many defogging algorithms occur.
At present, there is the algorithm that defogging processing is much carried out to foggy image in the prior art, although this defogging method has
Advantage, but also have shortcoming, some real-times are good, but defog effect and bad, and some defog effects are good, but real-time meets not again
Require.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of image defogging method and system, can meet that real-time will
Seek the defog effect that and can has reached.
The technical scheme that the present invention solves above-mentioned technical problem is as follows：A kind of image defogging method, comprises the following steps:
Step 1, artwork, i.e. a width colour foggy image are inputted；
Step 2, the basic image and levels of detail of the colored foggy image are extracted respectively；
Step 3, the view data of tri- passages of R, G, B of the basic image is obtained；
Step 4, the global atmosphere light and transmissivity of each passage of basic image are asked for respectively；
Step 5, each passage is recovered according to the global atmosphere light and transmissivity of each passage of basic image
Fog free images, so as to obtain fogless basic image；
Step 6, levels of detail information is added to fogless basic image；
Step 7, the fogless basic image that with the addition of levels of detail information is smoothed and brightness and contrast strengthens
Processing, obtains fogless original image.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement：
Further, the global atmosphere light that each passage is obtained in the step 4 calculates in accordance with the following methods：Ask for
Each passage helps track data secretly, and helps each passage secretly track data compared with threshold value t, when the dark
When data are more than the threshold value t, then by the track data of helping secretly compared with the pixel value on the artwork correspondence position, when described
When helping the data that track data is more than on artwork correspondence position secretly, then it is somebody's turn to do using the pixel value on the artwork correspondence position as described
The global air light value of passage；Otherwise using the threshold value t as global air light value, ask for respectively all dark in each passage
Global air light value of the average value of the global air light value of passage as the passage.
Further, transmissivity is calculated in accordance with the following methods in the step 4：
Wherein,T (x) is transmissivity；Ω (x) is represented centered on pixel x
Template window；A is global air light value, and c represents tri- passages of R, G, B, and I (y) is the desired value after defogging；G (x) rolls up for Gauss
Product module plate, template size are 13 × 13.
Further, fogless basic image J (x) is obtained according to following methods in the step 5：
Wherein, I (x) is the artwork of input；t0=0.3.
The beneficial effects of the invention are as follows：By being optimized to global atmosphere light and transmissivity, both meet requirement of real-time
The defog effect that and can has reached.
The another technical solution that the present invention solves above-mentioned technical problem is as follows：A kind of image defogging system, including：
Input module, for inputting artwork, i.e. a width colour foggy image；
Extraction module, for extracting the basic image and levels of detail of the colored foggy image respectively；
Acquisition module, the view data of tri- passages of R, G, B for obtaining the basic image；
Computing module, for asking for the global atmosphere light and transmissivity of each passage of basic image respectively；
Recovery module, each is recovered for the global atmosphere light and transmissivity according to each passage of basic image
The fog free images of passage, so as to obtain fogless basic image；
Add module, for adding levels of detail information to fogless basic image；
Strengthen processing module, for the fogless basic image that with the addition of levels of detail information is smoothed and brightness and
Contrast enhancement processing, obtain fogless original image.
On the basis of above-mentioned technical proposal, the present invention can also do following improvement：
The global atmosphere light that each passage is obtained in the acquisition module calculates in accordance with the following methods：It is logical to ask for each
Track data is helped in road secretly, and helps each passage secretly track data compared with threshold value t, when the track data of helping secretly is more than
During the threshold value t, then by the track data of helping secretly compared with the pixel value on the artwork correspondence position, when the dark number
During according to more than data on artwork correspondence position, then using the pixel value on the artwork correspondence position as the complete of the passage
Office's air light value；Otherwise using the threshold value t as global air light value, the complete of all darks in each passage is asked for respectively
Global air light value of the average value of office's air light value as the passage.
Further, transmissivity is calculated in accordance with the following methods in the acquisition module：
Wherein,T (x) is transmissivity；Ω (x) is represented centered on pixel x
Template window；A is global air light value, and c represents tri- passages of R, G, B, and I (y) is the desired value after defogging；G (x) rolls up for Gauss
Product module plate, template size are 13 × 13.
Further, the recovery module obtains fogless basic image J (x) according to following methods：
Wherein, I (x) is the artwork of input；t0=0.3.
The beneficial effects of the invention are as follows：By being optimized to global atmosphere light and transmissivity, both meet requirement of real-time
The defog effect that and can has reached.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of image defogging method of the present invention；
Fig. 2 is a kind of structural representation of image defogging system of the present invention.
Embodiment
The principle and feature of the present invention are described below in conjunction with accompanying drawing, the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in figure 1, a kind of image defogging method, it is characterised in that comprise the following steps:
Step 1, artwork, i.e. a width colour foggy image are inputted；
Step 2, the basic image and levels of detail of the colored foggy image are extracted respectively；
Step 3, the view data of tri- passages of R, G, B of the basic image is obtained；
Step 4, the global atmosphere light and transmissivity of each passage of basic image are asked for respectively；
The global atmosphere light that each passage is obtained in the step 4 calculates in accordance with the following methods：Ask for each passage
Help track data secretly, and each passage is helped secretly track data compared with threshold value t, when the track data of helping secretly is more than institute
When stating threshold value t, then the track data of helping secretly is helped secretly track data when described compared with the pixel value on the artwork correspondence position
During more than data on artwork correspondence position, then the overall situation using the pixel value on the artwork correspondence position as the passage
Air light value；Otherwise using the threshold value t as global air light value, the overall situation of all darks in each passage is asked for respectively
Global air light value of the average value of air light value as the passage.
Transmissivity is calculated in accordance with the following methods in the step 4：
Wherein,T (x) is transmissivity；Ω (x) is represented with pixel x
Centered on template window；A is global air light value, and c represents tri- passages of R, G, B, I (y)
For the desired value after defogging；G (x) is Gaussian convolution template, and template size is 13 × 13.
Step 5, each passage is recovered according to the global atmosphere light and transmissivity of each passage of basic image
Fog free images, so as to obtain fogless basic image；In the step 5 fogless basic image J (x) is obtained according to following methods：
Wherein, I (x) is the artwork of input；t0=0.3.
Step 6, levels of detail information is added to fogless basic image；
Step 7, the fogless basic image that with the addition of levels of detail information is smoothed and brightness and contrast strengthens
Processing, obtains fogless original image.
As shown in Fig. 2 a kind of image defogging system, including：
Input module, for inputting artwork, i.e. a width colour foggy image；
Extraction module, for extracting the basic image and levels of detail of the colored foggy image respectively；
Acquisition module, the view data of tri- passages of R, G, B for obtaining the basic image；
The global atmosphere light that each passage is obtained in the acquisition module calculates in accordance with the following methods：It is logical to ask for each
Track data is helped in road secretly, and helps each passage secretly track data compared with threshold value t, when the track data of helping secretly is more than
During the threshold value t, then by the track data of helping secretly compared with the pixel value on the artwork correspondence position, when the dark number
During according to more than data on artwork correspondence position, then using the pixel value on the artwork correspondence position as the complete of the passage
Office's air light value；Otherwise using the threshold value t as global air light value, the complete of all darks in each passage is asked for respectively
Global air light value of the average value of office's air light value as the passage.Computing module, it is every for asking for the basic image respectively
The global atmosphere light and transmissivity of one passage；
Transmissivity is calculated in accordance with the following methods in the acquisition module：
Wherein,T (x) is transmissivity；Ω (x) is represented centered on pixel x
Template window；A is global air light value, and c represents tri- passages of R, G, B, and I (y) is the desired value after defogging；G (x) rolls up for Gauss
Product module plate, template size are 13 × 13.
Recovery module, each is recovered for the global atmosphere light and transmissivity according to each passage of basic image
The fog free images of passage, so as to obtain fogless basic image；The recovery module obtains fogless basic image J (x) according to following methods：
Wherein, I (x) is the artwork of input；t0=0.3.
Add module, for adding levels of detail information to fogless basic image；
Strengthen processing module, for the fogless basic image that with the addition of levels of detail information is smoothed and brightness and
Contrast enhancement processing, obtain fogless original image.
The foregoing is only presently preferred embodiments of the present invention, be not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included in the scope of the protection.
Claims (6)
- A kind of 1. image defogging method, it is characterised in that, comprise the following steps:Step 1, a width colour foggy image is inputted；Step 2, the basic image and levels of detail of the colored foggy image are extracted respectively；Step 3, the view data of tri- passages of R, G, B of the basic image is obtained；Step 4, the global atmosphere light and transmissivity of each passage of basic image are asked for respectively；Step 5, the fogless of each passage is recovered according to the global atmosphere light and transmissivity of each passage of basic image Image, so as to obtain fogless basic image；Step 6, levels of detail information is added to fogless basic image；Step 7, the fogless basic image that with the addition of levels of detail information is smoothed and brightness and contrast's enhancing is handled, Obtain fogless original image；The global atmosphere light that each passage is obtained in the step 4 calculates in accordance with the following methods：Ask for the dark of each passage Channel data, and each passage is helped secretly track data compared with threshold value t, when the track data of helping secretly is more than the threshold During value t, then by the track data of helping secretly compared with the pixel value on the artwork correspondence position, when the track data of helping secretly is more than During data on artwork correspondence position, then the global air using the pixel value on the artwork correspondence position as the passage Light value；Otherwise using the threshold value t as global air light value, the global air of all darks in each passage is asked for respectively Global air light value of the average value of light value as the passage.
- 2. a kind of image defogging method according to claim 1, it is characterised in that counted in accordance with the following methods in the step 4 Calculate transmissivity：<mrow> <mi>t</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mover> <mi>t</mi> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>*</mo> <mi>G</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>;</mo> </mrow>Wherein,T (x) is transmissivity；Ω (x) represents the template centered on pixel x Window；A is global air light value, and c represents tri- passages of R, G, B, and I (y) is the desired value after defogging；G (x) is Gaussian convolution mould Plate, template size are 13 × 13.
- 3. a kind of image defogging method according to claim 2, it is characterised in that obtained in the step 5 according to following methods Take fogless basic image J (x)：<mrow> <mi>J</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mi>A</mi> <mo>-</mo> <mfrac> <mrow> <mi>A</mi> <mo>-</mo> <mi>I</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>(</mo> <mi>x</mi> <mo>)</mo> <mo>,</mo> <msub> <mi>t</mi> <mn>0</mn> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>;</mo> </mrow>Wherein, I (x) is the artwork of input；t0=0.3.
- A kind of 4. image defogging system, it is characterised in that including：Input module, for inputting a width colour foggy image；Extraction module, for extracting the basic image and levels of detail of the colored foggy image respectively；Acquisition module, the view data of tri- passages of R, G, B for obtaining the basic image；Computing module, for asking for the global atmosphere light and transmissivity of each passage of basic image respectively；Recovery module, each passage is recovered for the global atmosphere light and transmissivity according to each passage of basic image Fog free images, so as to obtain fogless basic image；Add module, for adding levels of detail information to fogless basic image；Strengthen processing module, for being smoothed to the fogless basic image that with the addition of levels of detail information and brightness and contrast Enhancing processing is spent, obtains fogless original image；The global atmosphere light that each passage is obtained in the computing module calculates in accordance with the following methods：Ask for each passage Help track data secretly, and help each passage secretly track data compared with threshold value t, when the track data of helping secretly is more than described During threshold value t, then by the track data of helping secretly compared with the pixel value on the artwork correspondence position, to help track data secretly big when described It is when data on artwork correspondence position, then the pixel value on the artwork correspondence position is big as the overall situation of the passage Gas light value；Otherwise using the threshold value t as global air light value, the overall situation for asking for all darks in each passage respectively is big Global air light value of the average value of gas light value as the passage.
- 5. according to a kind of image defogging system described in claim 4, it is characterised in that counted in accordance with the following methods in the computing module Calculate transmissivity：<mrow> <mi>t</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mover> <mi>t</mi> <mo>&OverBar;</mo> </mover> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>*</mo> <mi>G</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>;</mo> </mrow>Wherein,T (x) is transmissivity；Ω (x) represents the template centered on pixel x Window；A is global air light value, and c represents tri- passages of R, G, B, and I (y) is the desired value after defogging；G (x) is Gaussian convolution mould Plate, template size are 13 × 13.
- 6. a kind of image defogging system according to claim 5, it is characterised in that the recovery module obtains according to following methods Take fogless basic image J (x)：<mrow> <mi>J</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> <mo>=</mo> <mi>A</mi> <mo>-</mo> <mfrac> <mrow> <mi>A</mi> <mo>-</mo> <mi>I</mi> <mrow> <mo>(</mo> <mi>x</mi> <mo>)</mo> </mrow> </mrow> <mrow> <mi>m</mi> <mi>a</mi> <mi>x</mi> <mrow> <mo>(</mo> <mi>t</mi> <mo>(</mo> <mi>x</mi> <mo>)</mo> <mo>,</mo> <msub> <mi>t</mi> <mn>0</mn> </msub> <mo>)</mo> </mrow> </mrow> </mfrac> <mo>;</mo> </mrow>Wherein, I (x) is the artwork of input；t0=0.3.
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| CN106023092B (en) * | 2016-05-04 | 2020-12-11 | 中国农业大学 | Image defogging method and device |
| CN105898111B (en) * | 2016-05-06 | 2018-11-27 | 西安理工大学 | A kind of video defogging method based on spectral clustering |
| JP6463512B2 (en) * | 2016-05-24 | 2019-02-06 | オリンパス株式会社 | Image signal processing apparatus, image signal processing method, and image signal processing program |
| CN105979120B (en) * | 2016-06-03 | 2019-03-12 | 华南农业大学 | Video defogging system and video defogging method based on distributed computing |
| CN107451975B (en) * | 2017-04-25 | 2019-06-07 | 中国人民解放军空军工程大学 | A kind of view-based access control model weights similar picture quality clarification method |
| CN107392871B (en) * | 2017-07-27 | 2020-01-10 | Oppo广东移动通信有限公司 | Image defogging method and device, mobile terminal and computer readable storage medium |
| CN107392870B (en) * | 2017-07-27 | 2020-07-21 | Oppo广东移动通信有限公司 | Image processing method, image processing device, mobile terminal and computer readable storage medium |
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