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Sand dust photos have slender histogram distribution. The current enhancement methods adopted graphic processing concept to equilibrium the color and contrast of the pictures can only Increase the clarity of the images to a particular extent, as well as balanced photos remain hazy in eyesight.

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In sandstorm climate, the pictures captured by imaging machines constantly have such concerns as shade distortion, small contrast, and reduced recognizability. Impacted by Mie scattering, the blue–violet gentle is absorbed by sand dust particles a great deal more quickly in contrast with crimson and orange mild, which plays an adverse position in several distant-based Pc vision tasks and critically interferes With all the functionality of clever facts processing units.

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The framework with the fusion strategy. The proposed technique combines typical algorithms with deep Mastering to further improve the clarity of sand dust photos.

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Datasets can have an impact on community efficiency to an excellent extent. Even so, it is tough to gather a large number of paired sand dust samples in reality for coaching the network.

The datasets employed and/or analysed throughout The existing examine obtainable from the corresponding creator on sensible request.