论文标题
单一框架与拉普拉斯过滤器
Single Frame Deblurring with Laplacian Filters
论文作者
论文摘要
几十年来，由于问题的性质不足，盲目的单图像脱毛是一个挑战。在本文中，我们借助Laplacian过滤器提出了一个单帧盲型溶液。利用剩余的密集网络已证明了其在超分辨率任务中的优势，因此我们选择了它作为基线体系结构。我们在基准数据集上使用最先进的DNN方法评估了提出的解决方案。所提出的方法在客观和主观上测量了图像质量的显着改善。
Blind single image deblurring has been a challenge over many decades due to the ill-posed nature of the problem. In this paper, we propose a single-frame blind deblurring solution with the aid of Laplacian filters. Utilized Residual Dense Network has proven its strengths in superresolution task, thus we selected it as a baseline architecture. We evaluated the proposed solution with state-of-art DNN methods on a benchmark dataset. The proposed method shows significant improvement in image quality measured objectively and subjectively.
