Add to ORKGThis paper compares various defogging techniques such as Dark Channel Prior (DCP), Improved Dark Channel Prior (IDCP), IDCP with guided filter, IDCP with histogram specification, Tarel method, Anisotropic diffusion and Adaptive defogging in HSV color plane. For the purpose of comparison these techniques were implemented on MATLAB-09. The result shows that Adaptive defogging technique has highest value of PSNR among all the techniques having lowest MSE, NCD and MAE value. The computation time for removal of fog is found to follow the trend from low to high is: Anisotropic diffusion, Tarel method
Bad weather conditions (such as fog, haze) seriously affect the visual quality of images. According ...
In the presented paper; we propose an effective image fog removal technique with a color stabilizati...
Comparison of different approaches on video using (a) Input hazy frames. (b) DLCE [17]. (c) DCP [4]....
Defogging algorithms based on dark channel prior have color shift in light color areas because of in...
Digital Image is an imperative part in the explanation and analysis of data, which is in the digital...
In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric sca...
To solve the color distortion problem produced by the dark channel prior algorithm, an improved meth...
Different image defogging methods should be adopted for different degrees of low contrast and sharpn...
The image captured by camera is degraded by various atmospheric parameters for example rain, storm, ...
According to the characteristics of foggy images, such as high noise, low resolution, and uneven ill...
There is an increasing number of methods for removing haze and fog from a single image. One of such ...
Abstract The dark channel prior (DCP) algorithm has been widely used in the field of image defogging...
In recent years, with the rapid development of social economy and the continuous improvement of peop...
Digital images captured in hazy conditions suffer from colour distortion and loss of contrast, posin...
Haze formation is the combination of airlight and attenuation. Attenuation decreases the contrast an...
Bad weather conditions (such as fog, haze) seriously affect the visual quality of images. According ...
In the presented paper; we propose an effective image fog removal technique with a color stabilizati...
Comparison of different approaches on video using (a) Input hazy frames. (b) DLCE [17]. (c) DCP [4]....
Defogging algorithms based on dark channel prior have color shift in light color areas because of in...
Digital Image is an imperative part in the explanation and analysis of data, which is in the digital...
In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric sca...
To solve the color distortion problem produced by the dark channel prior algorithm, an improved meth...
Different image defogging methods should be adopted for different degrees of low contrast and sharpn...
The image captured by camera is degraded by various atmospheric parameters for example rain, storm, ...
According to the characteristics of foggy images, such as high noise, low resolution, and uneven ill...
There is an increasing number of methods for removing haze and fog from a single image. One of such ...
Abstract The dark channel prior (DCP) algorithm has been widely used in the field of image defogging...
In recent years, with the rapid development of social economy and the continuous improvement of peop...
Digital images captured in hazy conditions suffer from colour distortion and loss of contrast, posin...
Haze formation is the combination of airlight and attenuation. Attenuation decreases the contrast an...
Bad weather conditions (such as fog, haze) seriously affect the visual quality of images. According ...
In the presented paper; we propose an effective image fog removal technique with a color stabilizati...
Comparison of different approaches on video using (a) Input hazy frames. (b) DLCE [17]. (c) DCP [4]....