论文标题
高级单图像分辨率使用生成对抗网络提高
Advanced Single Image Resolution Upsurging Using a Generative Adversarial Network
论文作者
论文摘要
图像的分辨率是评估图像质量的非常重要的标准。图像的较高分辨率总是可取的，因为由于模糊质量，较低分辨率的图像不合适。图像的更高分辨率对于各种领域（例如医学成像）很重要。天文学作用，依此类推，因为较低分辨率的图像在扩大大小时就会不清楚和模糊。最近，进行了各种研究工作，以从其较低的分辨率中产生更高的图像分辨率。在本文中，我们提出了一种产生较高分辨率图像的技术，该技术使用具有深网的残留密度块网络体系结构中的残留物形成较低的分辨率。我们还将我们的方法与其他方法进行了比较，以证明我们的方法提供了更好的视觉质量图像。
The resolution of an image is a very important criterion for evaluating the quality of the image. A higher resolution of an image is always preferable as images of lower resolution are unsuitable due to fuzzy quality. A higher resolution of an image is important for various fields such as medical imaging; astronomy works and so on as images of lower resolution becomes unclear and indistinct when their sizes are enlarged. In recent times, various research works are performed to generate a higher resolution of an image from its lower resolution. In this paper, we have proposed a technique of generating higher resolution images form lower resolution using Residual in Residual Dense Block network architecture with a deep network. We have also compared our method with other methods to prove that our method provides better visual quality images.
