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The outdoor pictures captured in sand dust temperature frequently are afflicted by very poor distinction and shade distortion, which severely interfere While using the performance of intelligent information processing systems. To solve the issues, a novel enhancement algorithm based on fusion strategy is proposed in this paper. It includes two factors in sequence: sand removing by using the enhanced Gaussian design-based mostly colour correction algorithm and dust elimination using the residual-centered convolutional neural community (CNN).
Within this paper, the true-globe sand dust visuals while in the experiments all originate from the dataset constructed by Shi et al.
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The move chart in the Gaussian product-primarily based enhanced coloration correction algorithm, remember to check with the text For additional detailed measures.
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