Spatial resolution is an important indicator that measures the quality of remote sensing images. Image texture has been successfully recovered by generative adversarial networks in deep learning super-resolution (SR) methods. However, the existing methods are prone to image texture distortion. To solve...
This paper proposes a medical image blind super-resolution model (Med-BSR) based on an improved degradation process to handle this issue. The model makes each of the degradation factors in medical image blind SR, such as blur, noise, and downsampling, more complex and practical. Specifically,...
Finally, we designed an asymmetric depth recursive back-projection network for super-resolution reconstruction. By combining the advantages of the pixel-based super-resolution algorithm and the feature space-based super-resolution algorithm, we improved the resolution and the visual perception clarity of ...
The comparisons also showed that PINOS reached a convergence speed of over 20 times faster than finite element software in two‐dimensional and three‐dimensional static problems. Furthermore, this study examined the zero‐shot super‐resolution capability by developing Super‐Resolution PINOS (SR‐...
Sparse representation has recently attracted enormous interests in the field of image super-resolution. The sparsity-based methods usually train a pair of global dictionaries. However, only a pair of global dictionaries cannot best sparsely represent different kinds of image patches, as it neglects tw...
青岛大学 Qingdao University Super‐resolution direct laser writing and its applications讲座论坛 02017-08-30 09:00 博远楼103主讲人 曹耀宇0 条评论查看学校相关机会 青岛大学 Qingdao University 查看专业相关机会 物理 想看更多 查看同类型机会 查看所有机会...
directions, accordingly, SARDI-nn can realize arbitrary scale angular super resolution. To test the effectiveness of the proposed method, we compare it with several existing methods in terms of peak signal to noise ratio (PSNR), structural similarity index measure (SSIM), and root mean square ...
[translate] a拖钩 拖钩 [translate] aattentions 注意 [translate] aParametric analysis of the spatial resolution and signal‐to‐noise ratio in super‐resolved spatiotemporally encoded (SPEN) MRI 对空间分辨率和信号‐的参数分析到‐噪声比率在超级‐解决了spatiotemporally编码 (SPEN) MRI [translate] ...
super-resolution results. Due to the most existing works that have not exploited position information, a two-dimensional relative self-attention mechanism is proposed to enhance self-attention. To deal with the super-resolution task, the authors come up with an augmented global attention convolutional...
Single Image Super-Resolution algorithms have made enormous progress in recent years. However, many previous Convolution Neural Network (CNN) based Super-Resolution algorithms only stack uniform convolution layers of fixed kernel size, and frequently ignore inherent multi-scale properties of the images, ...