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We proposed an easy but efficient fusion technique for combining the conventional graphic processing algorithm with CNN to Increase the clarity with the sand dust pictures. The proposed fusion algorithm gives a novel way for long term analysis on sand dust image enhancement.
Sand dust pictures have slim histogram distribution. The existing enhancement methods adopted picture processing principle to equilibrium the color and contrast of the photographs can only Enhance the clarity of the photographs to a certain extent, as well as the well balanced visuals are still hazy in vision.
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For the above experimental benefits, we conclude that, to the 1 hand, the proposed conclude-to-conclusion CNN may not be appropriate using this sand dust removal undertaking. On the other hand, as everyone knows, CNN has a powerful power to in good shape the coaching information, although the generalization skill of CNN is often minimal because of the dataset.
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In sandstorm climate, the concentration of sand dust visuals is just not evenly dispersed, which leads to a bigger color deviation variety of the true-globe degraded images than the synthetic pictures. The problem of sand dust elimination in authentic scene photographs is drastically higher than in artificial images. To additional Assess click here the performance on the algorithms, it is necessary to carry out comparisons on serious-globe sand dust photographs. We offer various comparative samples of authentic-entire world degraded pictures with diverse visibility degrees, as demonstrated in Fig. eight. CIDC16 and TTFIO23 can get rid of the dust and Enhance the clarity from the image, but the images processed via the algorithms continue to have evident shade distortion. Despite the fact that NGT19 and HRDCP15 can stability the hue and brightness of the images the distinction of the final results is just too reduced and the results remain hazy in vision.
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The remainder of this paper is structured as follows. The existing sand dust elimination algorithms are released in “Relevant work” area. The main points from the proposed sand dust elimination method are described in “Proposed system” segment. The experimental set up executed facts and analysis outcomes with the proposed process are illustrated in “Experimental outcomes and Investigation” portion.
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