Possibly, and due to poor eating habits and unhealthy lifestyle, many viruses are transmitted to human people. Such is the case, of the novel coronavirus SARS-Cov-2, which has expanded of exponential way, practically, to whole world population. For this reason, the enhancement of real microscopic images of this coronavirus is of great importance. Of this way, one can highlight the S-spikes and visualizing those areas that show a high density, which are related to active zones of viral germination and major spread of the virus. The SARS-Cov-2 images were captured from nasopharyngeal samples of Cuban symptomatic individuals (RT-PCR positives for SARS-CoV-2) and processed via scanning electron microscopy. However, many times these microscopic images present some blurring problems, and the S-spikes do not look well defined. Therefore, the aim of this work is to propose new computational methods to carry out enhancement and segmentation of SARS-Cov-2 high-resolution microscopic images. The proposed strategy obtained very satisfactory results, and we validated its performance, together with specialist physicians, on a set of 1005 images. Due to the importance of the obtained results, this first work will be addressed to the application of the proposed algorithm. A second paper will deeply analyze the theory related to these algorithms.

可能，由于不良的饮食习惯和不健康的生活方式，许多病毒会传播给人类。新型冠状病毒 SARS-Cov-2 就是这种情况，它实际上已以指数方式扩展到全世界人口。因此，增强这种冠状病毒的真实显微图像非常重要。通过这种方式，人们可以突出S 尖峰并可视化那些显示出高密度的区域，这些区域与病毒萌发的活跃区域和病毒的主要传播有关。SARS-Cov-2 图像是从古巴有症状个体的鼻咽样本（SARS-CoV-2 的 RT-PCR 阳性）中捕获的，并通过扫描电子显微镜进行处理。然而，很多时候这些显微图像会出现一些模糊问题，并且S-spikes看起来不太清楚。因此，这项工作的目的是提出新的计算方法来对 SARS-Cov-2 高分辨率显微图像进行增强和分割。所提出的策略获得了非常令人满意的结果，我们与专科医生一起在一组 1005 张图像上验证了它的性能。由于所得结果的重要性，第一项工作将针对所提出算法的应用。第二篇论文将深入分析与这些算法相关的理论。