296results about How to "Improve defogging effect" patented technology

The invention provides a real-time video defogging system which belongs to the field of image processing and is characterized by being realized in a digital integrated circuit and comprising a data reading unit, a judgment unit, a sky brightness estimation unit, an atmosphere illumination white balance unit, an atmosphere dissipation image estimation unit and a clear scene recovery unit. As for the former K frames in the current lens of a video to be processed, the sky region thereof is estimated so that the sky brightness value is calculated; then the atmosphere illumination color of an image to be processed is corrected according to the sky brightness value by utilizing a white balance algorithm and a white balance image is normalized, the minimum values, minimum values of various colorcomponent are solved out so as to serve as rough estimated image; and based on the minimum values, an refined atmosphere dissipation image is calculated by utilizing an edge maintained flatting method, and the atmosphere scene albedo is calculated based on the atmosphere dissipation image, so that defogging recovery processing is carried out. As for a common-intermediate-format (CIF) video with the resolution of 288*352, the processing speed can be up to 60 fps (frames per second); and as for a D1-format video with the resolution of 578*720, the processing speed can be up to 15 fps, thus the system provided by the invention can be applied to monitoring systems and meet the requirement on real-time performance.

The invention relates to an image defogging method and device and a computer readable storage medium and belongs to the field of image processing. The method comprises the following steps: obtaining atarget foggy image, wherein the target foggy image is an image to be defogged; based on a defogging network model, performing defogging treatment on the target foggy image, wherein the defogging network model is obtained by training an adversarial network model. The image defogging method and method disclosed by the invention can perform defogging treatment on the target foggy image through the defogging network model which is obtained by training the adversarial network model. Under the general situation, the adversarial network model can make distribution of data to be processed be close tothe most real distribution; thus, when the defogging network model which is obtained by training the adversarial network model is used for defogging the target foggy image, image details of the target foggy image can be restored as much as possible, and image distortion is avoided; thus an image defogging effect is improved.

The invention provides a single image defogging method based on a generation confrontation network. The method includes the steps of 1, constructing a generator network model, inputting a training sample set subjected to fogging processing into the generator network model, and generating preliminary defogged images imitating fog-free images in a test sample set; 2, constructing a decider network model, inputting the preliminary defogged images into the decider network model, calculating a cost function, and performing the following steps that if a calculation result of the cost function is smaller than a preset defogging threshold value, the input images are judged as the fog-free images of the test sample set, and the generator network model is used as an optimal training model; otherwise, the input images are judged as the preliminary defogged images generated by the generator network model, tensorflow is used for training the generation confrontation network, and step 2 is repeatedly executed; 3, inputting a foggy image set into the optimal training model and outputting images after defogging. The method has the advantages of scientific design, high practicability, simple operation and a great defogging effect.

The invention discloses a characteristic learning-based single image defogging method. Firstly, multi-scale extraction of texture structure characteristics of a foggy image is performed via a sparse autoencoder, and at the same time, various color characteristics related with fog are extracted. Then, a multi-layer neural network is adopted for sample training, the mapping relationship between the texture structure characteristics and the color characteristics and the scene depth in the foggy condition is learned, and a scene depth chart of the foggy image is estimated. On this basis, a transmittance chart is approximately estimated by using the scene depth chart. The transmittance chart effectively reflects the fog concentration of each local area in the foggy image. Finally, with the combination of an atmospheric scattering model, restoration is further carried out according to the transmittance chart and a fogless image is obtained. The invention allows restoration of foggy images so as to obtain high-quality fogless images. In addition, compared with conventional defogging methods, the characteristic learning-based single image defogging method of the invention achieves better universal scene adaptability.

The embodiment of the invention relates to an image processing method, an image processing device, a mobile terminal and a computer readable storage medium. The method comprises steps: color features of a to-be-processed image are extracted; according to the color features, region partitioning is carried out on the to-be-processed image; the main tone of each region after partitioning is determined, and according to the main tone of each region, a defogging parameter for the corresponding region is calculated; and according to the defogging parameter for each region, the corresponding region is subjected to defogging processing. According to the above image processing method, the image processing device, the mobile terminal and the computer readable storage medium, the fog in the image can be effectively removed, the definition, the contrast and the saturation and the like of the image can be improved, the color of the image after defogging is more natural and real, and the defogging effects are improved.

The embodiment of the invention discloses an automobile auxiliary driving system camera demisting device. The device comprises a shell, a camera, a fan, a heater and a control circuit, wherein the camera, the fan, the heater and the control circuit are arranged in the shell. The shell comprises a pasting part for fixing the shell to a front windshield of an automobile. An air hood is composed of agroove formed in the side, provided with the pasting part, of the shell and the front windshield. An air outlet is located in one side of the air hood. An air inlet is formed in the groove. The fan is arranged next to the air inlet. The heater is arranged between the fan and the air inlet. The camera for shooting images outside the front windshield extends to the groove from the inner portion ofthe shell. The control circuit is connected with the fan and the heater so as to control the fan and the heater to be started or stopped and start or stop the demisting function of the camera. By theadoption of the technical scheme, mist on the auxiliary driving camera can be conveniently and quickly removed when an image imaging effect is guaranteed, and the driving experience of a driver is enhanced.

Image defogging method and system. The method includes: acquiring minimum intensity values corresponding to pixels in a foggy image, and selecting the largest values of intensity values of R, G, and B channels of pixels in an area, covered by a brightest area of a predetermined size in a local minimum intensity image, in the foggy image as component values of R, G, and B channels of an atmosphere light value; acquiring a transformation image of the foggy image with atmosphere light value of the foggy image; acquiring a transmission map of the foggy image by edge-preserving filtering the transformation image; and acquiring intensity values of R, G, and B channels of pixels in a defogged image using transmission map and atmosphere light value of the foggy image and intensity values of R, G, and B channels of pixels in the foggy image.

The cooling tower contains the dispersed pinwheels (3) being piled in layers or the defogging pin wheels (5), the liquid blasting unit sandwiched in-between and without any fillers (4). The pinwheel contains radiating layered thin needle pin (15). The rotary thin needle pins form the rotational flow with consistent argular speed. The specific surface area of the fluid beads and the degree of evendistribution are increased through the decentralization of the nozzles, the rotational flow and the collision between the fluid beads and the thin needle pins. The rotational flow further increases the speed of centripetal heat transfer to increase heat dissipation effect and intensity so as to make the heat dissipation course be flattened and radial. The layered pinwheels and sprinkles and the crossing current cooling of the tower body increase

The invention discloses an airplane demisting equipment, which comprises a water tank. The water tank is communicated with a plurality of injecting nozzles arranged outside the airplane through a pipeline, and water in the water tank can be sprayed through the injecting nozzles in the period when the airplane flies in the mist zone, to cause the mist to be formed into rain, snow or hail to fall off. Because the water tank is communicated with a plurality of injecting nozzles arranged outside the airplane through the pipeline, the water in the water tank can be sprayed through the injecting nozzles in the period when the airplane flies in the mist zone, to cause the mist to be formed into rain, snow or hail to fall off. The demisting method that water drops are taken as condensation nucleus has the advantages that the equipment is simple, the raw material cost is low, the airplane demisting equipment is suitable for the demisting in the large range, thus not only the demisting effect is good, and the mist cost is low, but also the demisting effect is enduring. The invention can be used for the demisting in the large range in the city area, on the highway, at the air port and at the dock.

The invention provides an image defogging method based on the concentration feature of fog, comprising the following steps: calculating the fog concentration feature value of each pixel in a foggy image; segmenting the foggy image to get a sub scene set through an image segmentation method based on the fog concentration feature values; screening out a sky-like area from the sub scene set; selecting the first 1% pixels with lowest saturation component in the sky-like area to form a candidate pixel set, selecting the first 10% pixels with highest saturation component in the candidate pixel set to form an atmospheric light area, and calculating the average intensity value of all the pixels in the atmospheric light area as a global atmospheric light value; calculating the transmittance of each pixel in the foggy image; and getting a defogged image according to the global atmospheric light value and the transmittance. The atmospheric light area can be located accurately in the defogging process. The method is less susceptible to highlighted noise points or interference in the foggy image. Therefore, an accurate global atmospheric light value is obtained, and a better defogging effect is achieved. The image defogging method is used to defog a variety of foggy images, and is of high robustness.

The invention discloses a polarized image defogging method combined with a dark channel prior principle. The method comprises the following steps of: firstly, obtaining a polarized image by a polarization imaging technology, thereby obtaining linear polarization stokes vectors of a scene; secondly, selecting a region from a total light intensity image of the scene, and estimating an atmosphere diffusion light polarization degree, a polarization angle and an atmosphere diffusion light intensity of the infinite area based on the region; then calculating the atmosphere diffusion light intensity of each pixel point according to the estimated atmosphere diffusion light polarization degree and the polarization angle, and based on a physical model of polarized defogging imaging, combining the atmosphere diffusion light intensity of each pixel point with the atmosphere diffusion light intensity of the infinite area to calculate the target light intensity after the defogging; and finally, carrying out image quality evaluation by utilizing a gray scale entropy function, automatically optimizing the bias coefficient of the atmosphere diffusion light intensity of the infinite area, and obtaining the defogged image. The method provided by the invention can accurately and automatically estimate the information of atmosphere diffusion light, the reliability is higher, the calculation speed is high, and the contrast of the defogged image is high.

The invention relates to a flexible fiber spiral line demisting device, which solves the problems that the existing demising device has low demisting efficiency, the filter type demister is easy to block and the static demister is high in cost and large in occupied area and is corroded and scaled. According to the technical scheme, the flexible fiber spiral line demisting device comprises a gas inlet, a gas outlet and an exhaust cylinder of a liquid discharge pipe, wherein a motor is arranged on the vertical center line of the upper section of the exhaust cylinder; a rotating shaft of the motor is sleeved with a shaft sleeve; at least one layer of disc is arranged in the axis direction of the shaft sleeve; flexible fiber spiral lines are arranged on the disc; the flexible fiber spiral lines comprise a plurality of warps; one end of each warp is connected to the disc uniformly and the other end of each warp is a free end. The flexible fiber spiral line demisting device has the advantages of low resistance, high efficiency, no occupied area, no corrosion, no scaling and blockage, large flue gas treatment quantity, simple structure, light weight, low energy consumption and low cost.

The invention discloses a neural network image defogging method based on a hybrid convolution channel attention mechanism and hierarchical learning. The method comprises the following steps: constructing an image defogging model; acquiring foggy image data, and extracting feature maps of six different scales and different depths of a foggy image by stages by using a multi-scale layered extractor;constructing a hybrid convolution channel attention module based on hybrid convolution and an attention mechanism, and processing the fused features of the six feature maps by the hybrid convolution channel attention module to make a defogging model pay attention to effective features and perform feature defogging; reconstructing the defogged features into a clear fog-free image through an image reconstruction module; and calculating the loss of the restored image and the clear image thereof, and optimizing the image defogging model. According to the technical scheme, effective defogging processing is carried out on the actually shot fog image, and a high-quality fog-free image is recovered.

The invention discloses an image defogging method and a terminal. The image defogging method comprises steps that a sky area of a to-be-processed image is separated according to an optimal approximately normal distribution fitting algorithm, and the sky points and the non-sky points of the to-be-processed image are determined; the local histogram equalization processing of the non-sky points is carried out, and the assignment processing of the sky points is carried out, and then the defogged image is acquired. According to the technical scheme provided by the invention, the sky points and the non-sky points of the to-be-processed image are discriminated, and the local histogram equalization processing of the non-sky points is carried out, and therefore the wrong enhancement of the sky area having slow gray scale change is prevented during the local histogram equalization processing, and the defogging effect of the image is improved.

The invention discloses a hospital department exhaust treatment device and method. The treatment device comprises a primary filtering unit, a sterilizing and disinfecting unit, a secondary filtering unit and an ultraviolet sterilizing and disinfecting unit. An electrostatic dust collector is adopted in the primary filtering unit, and an air inlet of the electrostatic dust collector communicates with an exhaust outlet of the hospital department. The primary filtering unit comprises two particle activated carbon adsorption recycling devices which are connected in parallel, and when one of the particle activated carbon adsorption recycling devices is in a working state, the other particle activated carbon adsorption recycling device is in a standby state. Air inlets of the particle activatedcarbon adsorption recycling devices communicate with an exhaust pipe at the top of a tower body. An air inlet of the ultraviolet sterilizing and disinfecting unit communicates with air outlets of theparticle activated carbon adsorption recycling devices. According to the hospital department exhaust treatment device and method, the structure is reasonable, and treatment of exhausting of differentdepartments is achieved.

The efficient wet desulfurizing and dusting device especially for coal burning boiler in power plant has one vertical tower with inner tower in its center, tangent flue gas inlet pipe and flue gas outlet pipe, lime water and cinder output pipe, tangent chemical nozzle and water retaining ring. It features the inwards protruding ring set over the flue gas inlet pipe to make fluid passage turned first to tower center and then upwards, and one overflowing unit in the center of the tower to overflow downwards the showing chemical liquid. The present invention has high desulfurizing and dusing effect.

The invention discloses a multi-zone oxidizing process and device for an ammonia process of desulfurization of smoke. The device comprises a desulfurizing tower and multi-zone oxidizing tanks; smoke successively passes through a concentration cooling section, an absorption section, a washing section and a dehydrating and demisting section to become pure smoke to be discharged; ammonium sulfate spraying slurry is arranged in the concentration cooling section; an ammonium sulfite and ammonium sulfate spraying solution is arranged in the adsorption section; spraying water is arranged in the washing section; a demister is arranged in the dehydrating and demisting section; after the adsorption liquid discharged from the absorption section is mixed with ammonia water, the mixture successively passes through an imine regenerating region and a sulfite oxidizing region in the multi-zone oxidizing tanks; a part of the generated ammonium sulfite is circularly sprayed in the absorption section through an absorption pump while the other part while the other part is discharged into the sulfite oxidizing region to be oxidized; a part of generated ammonium sulfate is circularly sprayed in the absorption section through an ammonium sulfate pump while the other part is discharged into the concentration cooling section. The device is scientific in design, compact in structure, high in oxidizing efficiency, water-saving, material-saving, land-saving, energy-saving, good in demisting effect, ultra-low in emission and stable in performance, and has very high practicality and wide applicability.

An air-outlet mode selecting device includes first and second rotary doors. Each of the first and second rotary doors has rotary shafts separated from each other in an axial direction of the rotary shafts, an outer peripheral door surface that is provided at a position separated radial outward from the center line of the rotary shafts and is turned with the rotary shafts, and left and right side plates for connecting both ends in the axial direction of the outer peripheral surface and the rotary shafts. One of the first and second rotary doors opens and closes a specified opening among three openings and other rotary door opens and closes the remaining two openings among the three openings. Accordingly, door operation force and air flow resistance can be effectively reduced, and the size of the air-outlet mode selecting device can be effectively reduced.

The present invention relates to a vertical rotary bed ultragravity field device, which is used for water disposing in environmental protection and for the aggrandizement of the physics and chemistry reaction in the process of atmosphere disposing. The device is also suitable to be used in the mass transfer and the reaction process of the multiphase liquid in various chemical industries. The device comprises a barrel-shaped upright shell with an air inlet arranged at the side. The middle of the shell is provided with a vertical rotating element, while the lower part of the shell is provided with a waste liquid bypass outlet. The middle of the rotating element is provided with an air guide barrel, the lower part of the air guide barrel is provided with an air inlet, while the top of the air guide barrel is connected with a demister. The side wall of the rotating element is the rotary packed bed. The whole rotating element is connected with a transmission device which provides power. The upper part of the rotating element is provided with at least three units of bearing guide pulley to form an inner inscribed circle. The rotating element rotates according to the position which is limited by the inscribed circle to bear and guide the rotation of the rotating element. As the device adopts at least three units of bearing guide pulley for supporting, both ends of the rotating element can rotate stably and reliably under the bearing, and the diameter and the volume of the rotating element can be increased. The device is used for the atmosphere disposing.

The invention provides vehicle window glass with a heating function and belongs to the technical field of automobile parts, and the vehicle window glass with the heating function can be used for solving the problems such as poor defogging effect and the like of the existing vehicle window glass. The vehicle window glass with the heating function comprises a flaky body made of a glass material, wherein the body is provided with a temperature sensor I capable of detecting the internal temperature of the body and a temperature sensor II capable of detecting the external temperature of the body; both the temperature sensor I and the temperature sensor II are connected with a vehicle-mounted computer; the body is also internally provided with a heating wire connected with the vehicle-mounted computer; when the temperature difference of the temperature sensor I and the temperature sensor II is higher than a set value, the vehicle-mounted computer can electrify the heating wire; and when the temperature difference of the temperature sensor I and the temperature sensor II is lower than the set value, the vehicle-mounted computer stops supplying power to the heating wire. The vehicle window glass with the heating function has the advantages that the defogging effect is good, fog can be prevented from being generated, and the like.

The invention provides an improved corrugated plate structure. The air flow of the corrugated plate is increased, and the liquid drop gathering frequency is high, so that the efficiency of forming liquid drops by entrainment is high, the demisting effect is improved and the separation effect is good. The improved corrugated plate structure comprises a corrugated plate body and is characterized in that a wave front of the corrugated plate body is a platform wave front. The invention also provides a demister employing the corrugated plate structure.

The invention discloses a combined gas-liquid separator comprising a shell, wherein a cyclone gas-liquid separator is arranged in the shell; and the cyclone gas-liquid separator is composed of a cyclone separator and a spiral sheet guide plate which is arranged in the cyclone of the cyclone separator. The cyclone gas-liquid separator combines a cyclone separation function and a spiral guide separation function; the separation efficiency of the cyclone gas-liquid separator is higher than the centrifugal separation efficiency of a two-layered swirl plate, as well as higher than the single spiral sheet guide separation efficiency or single collision separation efficiency. Meanwhile, a collision guide flow baffle is arranged at an air outlet of the cyclone gas-liquid separator, and is combined with a swirling mist eliminator, so that the separation efficiency is greatly improved. A further improvement of the combined gas-liquid separator is that a swirl plate, a second spiral sheet guide plate or a spraying overflow tray is also added at the lower part of the shell, so that the combined gas-liquid separator is also additionally provided with a primary gas-liquid separation function based on the separation functions, and the separation efficiency is further improved.

The present invention relates to a double-vane air-swirl parallel-combination demister. The demister comprises one or more than two air-swirl demisting units and plugging plates, wherein a central axis of the air-swirl demisting unit is arranged in a vertical direction; and the air-swirl demisting unit comprises an outer barrel, a guide plate, an inner barrel, an outer guide vane, an inner guide vane, a sealing plate, a tapered section, an expanding section and a water drainage section. According to the demister disclosed by the invention, a working flow rate is increase and an ultimate grain size is reduced, so that the ultimate grain size of liquid drops captured by the demister is smaller than 15 microns, and therefore, effect of reducing the concentration of mist drops at an outlet of the demister is achieved, water loss is avoided, and secondary pollution to air is also avoided.

The invention provides a multispectral polarization image defogging method combined with a sky light polarization model, which comprises the following steps: under a foggy weather condition, firstly,acquiring polarization images under different spectrum channels by using a multispectral polarization imaging detection system, and simultaneously measuring the aerosol optical thickness of a corresponding spectrum band by using a sun photometer; secondly, inputting a detection waveband, a solar zenith angle, aerosol optical thickness, aerosol particle scattering information and the like into a sky light polarization model; obtaining a sky light polarization state distribution diagram through simulation, selecting a sky area in a horizontal field angle on a detection azimuth angle, and obtaining the average value of the light intensity and the average value of the polarization degree to serve as an atmospheric light intensity value and an atmospheric light polarization degree value at infinity respectively. And finally, defogging the polarization images of different spectrum channels by using a defogging method based on polarization difference. According to the method, the problem thatthe polarization degree atmospheric light information is estimated mistakenly when no sky area exists in a multispectral polarization image scene or some high-brightness objects exist in the scene issolved.

The invention provides an optimizing and haze removing processing method for images photographed by unmanned aerial vehicles. The optimizing and haze removing processing method has the advantages thatalgorithm speed optimizing schemes are proposed on the basis of dark channel prior haze removing processing algorithms for characteristics of high data volumes and large image dimension quantities ofthe images aerially photographed by the unmanned aerial vehicles, and processes for reducing the data volumes by means of image down-sampling and dark channel filtering with the time complexity O(1)of algorithms are proposed; the fact that atmospheric transmittance map layers can be refined by means of median filtering instead of guide filtering for conditions of uniform cloud and haze in the images is discovered, and accordingly the computation time can be shortened; the speeds are optimized, and accordingly the algorithms can effectively adapt to the characteristic of high data volumes ofthe images photographed by the unmanned aerial vehicles; contract stretching is carried out on the transmittance map layers for the images with uneven cloud and haze in haze removing procedures for high requirements on the quality of the images photographed by the unmanned aerial vehicles; enhancement processing is carried out on images which are already subjected to haze removing processing, thequality is optimized, and accordingly the quality of images outputted by the aid of haze removing processing algorithms for the images photographed by the unmanned aerial vehicles can be effectively improved.

The invention discloses an image haze removal method based on a pixel dark channel and anisotropic diffusion filtering, belonging to the technical field of the image haze removal method. The technical key point is that the image haze removal method comprises the following steps of: (1) calculating a dark channel Idark(x) of each pixel point of haze image I(x); (2) calculating an atmospheric light intensity value A according to the dark channel Idark(x) of each pixel point; (3) performing anisotropic diffusion filtering on the dark channel Idark(x) of each pixel point; and (4) calculating transmittance t(x) of each pixel point according to a transmittance calculating formula; and (5) performing image restoration processing according to the atmospheric light intensity value A and the transmittance t(x). The invention aims at providing the image haze removal method, which is relatively small in calculated amount, less in stored resources occupied and quick in processing speed, based on pixel dark channel and anisotropic diffusion filtering. The image haze removal method is used for image haze removal processing.

The invention provides a drip-imitating tube-type demister, which is characterized by comprising at least two layers of parallel rows of tubes, wherein the rows of tubes are formed by tubes which are uniformly arrayed, the two ends of the rows of tubes are respectively supported on a plate, and the direction of flue gas flow is vertical to the direction of the short axis of the inner tubes of therow of tubes. The invention also provides a demister device, which is characterized by comprising the drip-imitating tube-type demister, wherein the drip-imitating tube-type demister is arranged at aflue gas desulfurization tower or the upstream of a horizontal flue, the demister is arranged at the downstream of the flue gas desulfurization tower, or a vane demister is arranged at the downstreamof the horizontal flue. The invention has the advantages that the demister reduces partial flow resistance, the area for blocking mist drop can be enlarged, demisting effect is improved, and scale isnot easy to form.

The present invention provides a road video defogging method based on a dichromatic reflection model and bilateral filtering, relates to the field of image processing, and specifically relates to a video defogging method. The method comprises: firstly, for a video of a road, determining whether an image in the video is in a foggy state; for the image in the foggy state in the video, determining a desired parameter by using a physical defogging model; for the image in the foggy state in the video, finding a position of fog by combining a dichromatic reflection model with bilateral filtering, so as to estimate global atmospheric light component A and transmittance t(x); limiting a range of the transmittance to min(t(x), 0.1); and obtaining a pixel of a restored defogged image according to limitation to the range of the transmittance. The method provided by the present invention is used for defogging of videos or images.

The invention discloses an open CL accelerated video defogging method. The method adopts an OpenCL to defog a foggy video, and specifically comprises the following steps: initializing a FFmpeg multimedia framework; initializing an OpenCL architecture; optimizing a FHRUSI defogging algorithm through the adoption of the OpenCL to realize parallel video defogging processing; expanding the parallel video defogging processing to the FFmpeg multimedia framework and running a parallel video defogging processing sub-program. The OpenCL parallel programming method and GPU parallel architecture are used for processing the parallel acceleration of the video defogging processing and the real-time defogging of a high-definition video, the complexity of the defogging algorithm is lowered, and the parallelism of the algorithm is improved, the execution time of the defogging algorithm is greatly reduced, and the high-speed and high-definition defogging effect is achieved.