CN112215772A - Real-time haze-removing display system and haze-removing display method thereof - Google Patents
Real-time haze-removing display system and haze-removing display method thereof Download PDFInfo
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Abstract
The invention discloses a real-time haze removal display system which comprises an image acquisition module, an image preprocessing module, an image haze removal processing module and an image display module, wherein the image acquisition module, the image preprocessing module, the image haze removal processing module and the image display module are sequentially connected; the image acquisition module comprises an image capturing unit, an environment data acquisition unit, a data recording unit and a data sending unit; the image preprocessing module comprises a data receiving unit, an SLIC image processing unit and a bilateral filtering unit; the image defogging processing module comprises a sky separation unit, an atmospheric transmittance calculation unit and an image restoration unit. According to the method, the image is captured for multiple times, corresponding environment information data are collected, the initial image is segmented and subjected to sharpening processing, the atmospheric transmittance of the corresponding environment is obtained, the initial haze image is subjected to haze removal restoration, the enhanced haze-free image is obtained, and the problem that the haze removal effect of the image is not ideal is solved and improved.
Description
Technical Field
The invention relates to the technical field of image defogging, in particular to a real-time haze-removing display system and a haze-removing display method thereof.
Background
Under the haze weather, a large number of dust particles are suspended in the air, and the absorption and scattering effects are achieved on light, so that the contrast and saturation of an image shot in the haze weather are reduced, color details are lost, and the like, so that objects in the image are not clear, and the identification of image information is influenced. Particularly, in the fields of traffic, environmental protection, geographic information processing and the like, the haze image influences the normal operation of work. Therefore, a haze removing method for a degraded image acquired in a haze day becomes a relatively popular study at present.
Along with the continuous development of industry, the air pollution is continuously intensified, the air quality is obviously reduced, particularly in the north, the number of haze days in winter is increased year by year in recent years, and the haze weather seriously harms the health of people and also has great influence on the life and work of people. In many cases, people often need to shoot high-definition images outdoors, but due to the weather factors, the imaging distance is very short, and the images are blurred and unclear, so that it is an urgent need for people to obtain clear images in haze weather.
Therefore, in view of the above situation, there is an urgent need to develop a real-time haze-removing display system to overcome the shortcomings in the current practical application.
Disclosure of Invention
The invention aims to provide a real-time haze-removing display system and a haze-removing display method thereof, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a real-time haze-removing display system comprises an image acquisition module, an image preprocessing module, an image haze-removing processing module and an image display module, wherein the image acquisition module, the image preprocessing module, the image haze-removing processing module and the image display module are sequentially connected;
the image acquisition module comprises an image capturing unit, an environment data acquisition unit, a data recording unit and a data sending unit and is used for acquiring initial image data and corresponding environment information data;
the image preprocessing module comprises a data receiving unit, an SLIC image processing unit and a bilateral filtering unit and is used for segmenting and clarifying an initial image;
the image defogging processing module comprises a sky separation unit, an atmosphere transmissivity calculation unit and an image restoration unit and is used for defogging haze restoration of an image and obtaining an enhanced haze-free image.
As a further scheme of the invention: the image capturing unit and the environment data acquisition unit are connected with the data recording unit, and the data recording unit is connected with the data sending unit.
As a further scheme of the invention: and the data receiving unit, the SLIC image processing unit and the bilateral filtering unit are sequentially connected.
As a further scheme of the invention: the sky separation unit, the atmosphere transmissivity calculation unit and the image restoration unit are connected.
As a further scheme of the invention: the image display module comprises an image display unit, an image calling unit and an operation unit, wherein the image display unit, the image calling unit and the operation unit are sequentially connected.
As a further scheme of the invention: the system also comprises a data backup module and a remote receiving end, wherein the data backup module is connected with the image display module, and the data backup module is also in wireless connection with the remote receiving end.
A haze-removing display method of a real-time haze-removing display system comprises the following steps:
s1, image acquisition: the image capturing unit captures images for multiple times to obtain multiple images in the same environment and then sends the images to the data recording unit, the environment data acquisition unit acquires environment information data in real time and inputs the environment information data to the data recording unit along with the images, and the image data unit sends the image data and the environment data to the image preprocessing module through the data sending unit;
s2, image processing:
s21, the data receiving unit receives the obtained image data and environment data, and then the SLIC image processing unit and the bilateral filtering unit are used for segmenting the image and enhancing the details;
s22, the image defogging processing module extracts depth information of each region from the processed segmented images by using the sky separation unit, combines adjacent regions with the closest depth information, detects the sky region according to color and texture conditions, realizes separation of sky and non-sky, estimates atmospheric light values of the processed segmented images by using the atmospheric transmittance calculation unit, obtains atmospheric light values, calculates atmospheric scattering estimation values of the images, calculates atmospheric transmittance according to the atmospheric scattering estimation values and the atmospheric light values, and performs defogging recovery on the initial haze images by using the image recovery unit according to the atmospheric transmittance to obtain enhanced haze-free images;
s3, image display: the operation unit calls the image through the image calling unit and then displays the image from the display unit.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, through the image acquisition module, the image preprocessing module, the image defogging processing module and the image display module, images are captured for multiple times, corresponding environment information data are acquired, the initial images are segmented and clarified, the atmospheric transmittance of the corresponding environment is obtained, the initial haze images are subjected to haze removal restoration, the enhanced haze-free images are obtained, and the problem of unsatisfactory haze removal effect of the images is solved and improved.
Drawings
FIG. 1 is a schematic structural diagram of a real-time haze removal display system.
FIG. 2 is a schematic structural diagram of an image acquisition module in the real-time haze removal display system.
FIG. 3 is a schematic structural diagram of an image preprocessing module in the real-time haze removal display system.
FIG. 4 is a schematic structural diagram of an image display module in the real-time haze removal display system.
In the figure: the system comprises an image acquisition module 1, an image snapshot unit 11, an environment data acquisition unit 12, a data recording unit 13, a data transmission unit 14, an image preprocessing module 2, a data receiving unit 21, an image SLIC image processing unit 22, a bilateral filtering unit 23, an image defogging processing module 3, an image display module 4, an image display unit 41, an image calling unit 42, an operation unit 43, a data backup module 5 and a remote receiving end 6.
Detailed Description
The technical solution of the present patent will be described in further detail with reference to the following embodiments.
Reference will now be made in detail to embodiments of the present patent, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present patent and are not to be construed as limiting the present patent.
Example 1
Referring to fig. 1 to 3, in the embodiment of the invention, a real-time haze removal display system comprises an image acquisition module 1, an image preprocessing module 2, an image defogging processing module 3 and an image display module 4, wherein the image acquisition module 1, the image preprocessing module 2, the image defogging processing module 3 and the image display module 4 are sequentially connected, the image acquisition module 1 acquires an image from an environment and sends the image to the image preprocessing module 2, the image preprocessing module 2 performs sharpening processing on the image to reduce the complexity of the image, the image is sent to the image defogging processing module 3 for further defogging processing, and finally the image is displayed through the image display module 4;
the image acquisition module 1 comprises an image capturing unit 11, an environmental data acquisition unit 12, a data recording unit 13 and a data sending unit 14, wherein the image capturing unit 11 and the environmental data acquisition unit 12 are both connected with the data recording unit 13, and the data recording unit 13 is connected with the data sending unit 14;
the image capturing unit 11 is configured to capture images for multiple times, input the images to the data recording unit 13, and utilize the multiple images to supplement sufficient information to enable a morbid state problem to evolve into a solution problem, for example, obtain multiple images in different weather, and recover a degraded image affected by haze by using an illumination model;
the environment data acquisition unit 12 is configured to acquire environment information data, where the environment information data includes, but is not limited to, weather information data, such as illumination information, temperature and humidity data in cloudy days, rainy days, and sunny days;
the data recording unit 13 is used for recording, storing and collecting initial image data and weather information data, and sending the initial image data and the weather information data to the image preprocessing module 2 through the data recording unit 13;
the image preprocessing module 2 comprises a data receiving unit 21, an SLIC image processing unit 22 and a bilateral filtering unit 23, wherein the data receiving unit 21, the SLIC image processing unit 22 and the bilateral filtering unit 23 are sequentially connected;
the data receiving unit 21 receives the obtained initial image data and weather information data and sequentially sends the initial image data and the weather information data to the SLIC image processing unit 22 and the bilateral filtering unit 23 for processing;
the SLIC image processing unit 22 performs segmentation preprocessing on the initial image by using a SLIC superpixel segmentation method to obtain an over-segmented image, and the bilateral filtering unit 23 performs image filtering on the segmented image by using a bilateral filter to obtain an image with enhanced edge details;
the image defogging processing module 3 comprises a sky separation unit, an atmospheric transmittance calculation unit and an image restoration unit, wherein the sky separation unit, the atmospheric transmittance calculation unit and the image restoration unit are connected;
the sky separation unit extracts the depth information of each region from the processed segmented images, combines adjacent regions with the closest depth information, detects a sky region according to color and texture conditions and realizes separation of sky and non-sky; the atmospheric transmittance calculation unit carries out atmospheric light value estimation on the processed segmented image to obtain an atmospheric light value, calculates an atmospheric scattering estimation value of the image, and finally calculates the atmospheric transmittance according to the atmospheric scattering estimation value and the atmospheric light value;
the image restoration unit utilizes the atmospheric transmittance to carry out haze removal restoration on the initial haze image, and the enhanced haze-free image is obtained.
Example 2
Referring to fig. 1 to 3, in the embodiment of the invention, a real-time haze removal display system comprises an image acquisition module 1, an image preprocessing module 2, an image defogging processing module 3 and an image display module 4, wherein the image acquisition module 1, the image preprocessing module 2, the image defogging processing module 3 and the image display module 4 are sequentially connected, the image acquisition module 1 acquires an image from an environment and sends the image to the image preprocessing module 2, the image preprocessing module 2 performs sharpening processing on the image to reduce the complexity of the image, the image is sent to the image defogging processing module 3 for further defogging processing, and finally the image is displayed through the image display module 4;
the image acquisition module 1 comprises an image capturing unit 11, an environmental data acquisition unit 12, a data recording unit 13 and a data sending unit 14, wherein the image capturing unit 11 and the environmental data acquisition unit 12 are both connected with the data recording unit 13, and the data recording unit 13 is connected with the data sending unit 14;
the image capturing unit 11 is configured to capture images for multiple times, input the images to the data recording unit 13, and utilize the multiple images to supplement sufficient information to enable a morbid state problem to evolve into a solution problem, for example, obtain multiple images in different weather, and recover a degraded image affected by haze by using an illumination model;
the environment data acquisition unit 12 is configured to acquire environment information data, where the environment information data includes, but is not limited to, weather information data, such as illumination information, temperature and humidity data in cloudy days, rainy days, and sunny days;
the data recording unit 13 is used for recording, storing and collecting initial image data and weather information data, and sending the initial image data and the weather information data to the image preprocessing module 2 through the data recording unit 13;
the image preprocessing module 2 comprises a data receiving unit 21, an SLIC image processing unit 22 and a bilateral filtering unit 23, wherein the data receiving unit 21, the SLIC image processing unit 22 and the bilateral filtering unit 23 are sequentially connected;
the data receiving unit 21 receives the obtained initial image data and weather information data and sequentially sends the initial image data and the weather information data to the SLIC image processing unit 22 and the bilateral filtering unit 23 for processing;
the SLIC image processing unit 22 performs segmentation preprocessing on the initial image by using a SLIC superpixel segmentation method to obtain an over-segmented image, and the bilateral filtering unit 23 performs image filtering on the segmented image by using a bilateral filter to obtain an image with enhanced edge details;
the image defogging processing module 3 comprises a sky separation unit, an atmospheric transmittance calculation unit and an image restoration unit, wherein the sky separation unit, the atmospheric transmittance calculation unit and the image restoration unit are connected;
the sky separation unit extracts the depth information of each region from the processed segmented images, combines adjacent regions with the closest depth information, detects a sky region according to color and texture conditions and realizes separation of sky and non-sky; the atmospheric transmittance calculation unit carries out atmospheric light value estimation on the processed segmented image to obtain an atmospheric light value, calculates an atmospheric scattering estimation value of the image, and finally calculates the atmospheric transmittance according to the atmospheric scattering estimation value and the atmospheric light value;
the image restoration unit utilizes the atmospheric transmittance to carry out haze removal restoration on the initial haze image, and the enhanced haze-free image is obtained.
Referring to fig. 4, the difference between the present embodiment and embodiment 1 is:
the image display module 4 comprises an image display unit 41, an image calling unit 42 and an operation unit 43, the image display unit 41, the image calling unit 42 and the operation unit 43 are sequentially connected, and the operation unit 43 calls an image through the image calling unit 42 and then displays the image from the display unit 41;
specifically, in this embodiment, the image display device further includes a data backup module 5 and a remote receiving end 6, the data backup module 5 is connected to the image display module 4, the data backup module 5 is further wirelessly connected to the remote receiving end 6, the data backup module 5 obtains the restored image displayed by the image display module 4 and stores the restored image, and the remote receiving end 6 obtains the restored image from the data backup module 5 and checks the restored image.
Example 3
A real-time haze-removing display method comprises the following steps:
s1, image acquisition: the image capturing unit 11 captures images for multiple times to obtain multiple images in the same environment and then sends the images to the data recording unit 13, the environment data acquisition unit 12 acquires environment information data in real time and inputs the environment information data into the data recording unit 13 along with the images, and the image data unit 13 sends the image data and the environment data to the image preprocessing module 2 through the data sending unit 14;
s2, image processing:
s21, the data receiving unit receives the obtained image data and environment data, and then the SLIC image processing unit 22 and the bilateral filtering unit 23 are used for segmenting the image and enhancing the details;
s22, the image defogging processing module 3 extracts depth information of each region from the processed segmented image by using a sky separation unit, combines adjacent regions with the closest depth information, detects the sky region according to color and texture conditions, realizes the separation of sky and non-sky, estimates atmospheric light values of the processed segmented image by using an atmospheric transmittance calculation unit, obtains atmospheric light values, calculates atmospheric scattering estimation values of the image, calculates the atmospheric transmittance according to the atmospheric scattering estimation values and the atmospheric light values, and performs defogging restoration on the initial haze image by using an image restoration unit according to the atmospheric transmittance to obtain an enhanced haze-free image;
s3, image display: the operation unit 43 calls an image by the image calling unit 42 and displays the image on the display unit 41.
The above is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, it is possible to make several variations and modifications without departing from the concept of the present invention, and these should be considered as the protection scope of the present invention, which will not affect the effect of the implementation of the present invention and the utility of the patent.
Claims (7)
1. A real-time haze-removing display system is characterized by comprising an image acquisition module (1), an image preprocessing module (2), an image haze-removing processing module (3) and an image display module (4), wherein the image acquisition module (1), the image preprocessing module (2), the image haze-removing processing module (3) and the image display module (4) are sequentially connected;
the image acquisition module 1 comprises an image capturing unit (11), an environment data acquisition unit (12), a data recording unit (13) and a data sending unit (14), and is used for acquiring initial image data and corresponding environment information data;
the image preprocessing module (2) comprises a data receiving unit (21), an SLIC image processing unit (22) and a bilateral filtering unit (23), and is used for segmenting and sharpening the initial image;
the image defogging processing module (3) comprises a sky separation unit, an atmospheric transmittance calculation unit and an image restoration unit, and is used for performing defogging haze restoration on an image to obtain an enhanced haze-free image.
2. The real-time haze-removing display system according to claim 1, wherein the image capturing unit (11) and the environment data acquisition unit (12) are both connected with a data recording unit (13), and the data recording unit (13) is connected with a data sending unit (14).
3. The real-time haze-removing display system according to claim 2, wherein the data receiving unit (21), the SLIC image processing unit (22) and the bilateral filtering unit (23) are connected in sequence.
4. The real-time haze-removing display system according to claim 3, wherein the sky separation unit, the atmospheric transmittance calculation unit and the image restoration unit are connected.
5. The real-time haze-removing display system according to any one of claims 1 to 4, wherein the image display module (4) comprises an image display unit (41), an image calling unit (42) and an operation unit (43), and the image display unit (41), the image calling unit (42) and the operation unit (43) are connected in sequence.
6. The real-time haze-removing display system according to claim 1, further comprising a data backup module (5) and a remote receiving terminal (6), wherein the data backup module (5) is connected with the image display module (4), and the data backup module (5) is further wirelessly connected with the remote receiving terminal (6).
7. The haze removal display method of the real-time haze removal display system of any one of claims 1 to 6, comprising the steps of:
s1, image acquisition: the image capturing unit (11) captures images for multiple times, multiple images in the same environment are obtained and then sent to the data recording unit (13), the environment data acquisition unit (12) acquires environment information data in real time and inputs the environment information data to the data recording unit (13) along with the images, and the image data unit (13) sends image data and environment data to the image preprocessing module (2) through the data sending unit (14);
s2, image processing:
s21, the data receiving unit receives the obtained image data and environment data and then sequentially utilizes the SLIC image processing unit (22) and the bilateral filtering unit (23) to segment images and enhance details;
s22, the image defogging processing module (3) extracts depth information of each region from the processed segmented images by using a sky separation unit, combines adjacent regions with the closest depth information, detects the sky region according to color and texture conditions, realizes the separation of sky and non-sky, estimates atmospheric light values of the processed segmented images by using an atmospheric transmittance calculation unit, obtains the atmospheric light values, calculates atmospheric scattering estimated values of the images, calculates the atmospheric transmittance according to the atmospheric scattering estimated values and the atmospheric light values, and performs defogging haze restoration on the initial haze images by using an image restoration unit according to the atmospheric transmittance to obtain enhanced haze-free images;
s3, image display: the operation unit (43) calls an image by the image calling unit (42) and displays the image on the display unit (41).
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Application publication date: 20210112 |