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Within this paper, we proposed a novel fusion approach for solitary graphic sand dust removing process. The proposed technique can effectively clear up the problems of color distortion and native information and facts reduction commonly present while in the prior sand dust removing algorithms. The residual community can suppress the noise, adaptively change the brightness and stretch the distinction of the pictures. The comprehensive experiments demonstrate that, compared with the prior algorithms, the proposed approach can properly improve the clarity of sand dust degraded picture.
Sand dust images have slim histogram distribution. The existing enhancement techniques adopted graphic processing concept to balance the colour and contrast of the images can only Increase the clarity of the photographs to a particular extent, plus the balanced images are still hazy in eyesight.
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A real-time high quality improvement method based on an adaptive dynamic screened Poisson equation for surveillance online video in sand-dust temperature Dongdong Ni
The imaging system of sand dust illustrations or photos really should be deeply researched based on atmospheric scattering designs, as well as the distribution of extra sand dust degradation scenarios ought to be taken into account.
We in comparison the proposed system While using the prior sand dust removing algorithms including CIDC16, NGT19, FBE34, HRDCP15 and TTFIO23. more info For the fairness of comparison, all of the code from the comparison algorithms is from the website of their authors. The comparative results of the qualitative analysis on the artificial dataset are revealed in Fig. seven. You can see that CIDC16 can not eradicate the influence of color deviation, it over-Increased the blue channel ingredient, leading to an Total blue-violet tint to the pictures and the outcomes still have noticeable coloration distortion. On top of that, plainly the outcomes of NGT19 and HRDCP15 are grayed out, the distinction on the processed photographs is too low and the main points will not be well known, there are no sizeable Visible improvements in both in their final results.
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