In this paper, the proposed image defogging method has been based on the dark channel prior (DCP).output of this method show results that the defogged images

However, there is a possibility of selecting an image including noise only by the dispersion maximum map creation processing, and when the fog becomes dark by

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RDS-PSO with constant alpha value and the traditional PSO with linearly changing inertia weight methods showed the poorest results in Modes 1-2 and 3-4 together for this

The proposed new technology, Haze removal using Particle Swarm Optimization and brightness preserving dynamic histogram equalization will be utilized to monitor and locate the best

effectiveness. Initially, the image is altered from RGB space to adversary chromaticity space and the individuality of the colour contents of an image is incarcerated

The output images clearly shows the dark channel prior of the input image, the transmission (depth) map and the output defogged image.. The Boundary constraints are

Using a newly presented image prior - dark channel prior, haze removal for a single image without using any extra information is formulated as a particular

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If the dark channel prior is used to restore an image, the results obtained have artifacts around the edges of the images as it is shown in Fig.. To avoid or reduce the artifacts,

In this paper, a dual channel prior-based method for low illumination image enhancement with a single image is proposed, which builds upon two existing image priors: dark channel

Tang, Single Image Haze Removal using Dark Channel Prior, IEEE Conference on Computer Vision and Pattern.

Using a newly presented image prior-dark channel prior, haze removal for a satellite remote sensing image additional information is formulated as a particular filtering

Asadi Amiri, Adaptive Image Dehazing via Improving Dark Channel Prior, International Journal of Engineering (IJE), IJE TRANSACTIONS B: Applications Vol. Dark channel is

Asadi, Improving Dark Channel Prior for Single Image Dehazing,International Journal of Engineering (IJE), TRANSACTIONS C: Aspects Vol. Dark channel prior is an effective method

chandize once modernization was done); local government, lacking sufficient re- sources to implement central government policy on modernization of traditional

Dehazing algorithm based on dark channel prior provides enhanced output by removing the effect of absorption and scattering, avoiding too dark and too bright regions of image by

There follows a high level description of some of the security measures we have taken to protect access to data entered into the Tapestry service.. For obvious reasons it is