To better extract detailed features and enhance the cascading effects of different feature levels, we propose a novel medical image super-resolution algorithm that integrates discrete wavelet transform and multi-scale adaptive feature selection. Our approach uses both the low-resolution image and its ...
Resolution and super‐resolution 来自 Wiley 喜欢 0 阅读量: 66 作者: CJR Sheppard 摘要: Many papers have claimed the attainment of super‐resolution, i.e. resolution beyond that achieved classically, by measurement of the profile of a feature in the image. We argue that measurement of the ...
However, a signal‐processing‐based approach is a good alternative solution to these problems, because it may cost less and existing imaging systems can be still utilized. In a broad sense, this signal‐processing‐based approach can be called a super‐resolution approach. The goal of this ...
Super‐resolution fluorescence microscopy for investigating bacterial cell biology 绿色荧光蛋白标记的灿烂弧菌监测刺参Apostichopus japonicus细菌感染 相关领域 日本使徒 生物 微生物学 海参 绿色荧光蛋白 弧菌科 病菌 弧菌 细菌 生态学 遗传学 生物化学 基因 ...
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...
[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] ...
Yu, W., et al., Super‐resolution deep imaging with hollow Bessel beam STED microscopy. Laser & Photonics Reviews, 2016. 10(1): p. 147-152... W Yu,Z Ji,D Dong,... - 《Laser & Photonics Reviews》 被引量: 32发表: 2015年 Super-resolution deep imaging with hollow Bessel beam STED...
In this article, we propose a novel image super-resolution (SR) reconstruction method in the field of magnetic resonance imaging, which is based on a cross-modal edge-preserving regularization integrating the internal gradient prior from the target-modal image itself and the external gradient prior...
Towards a Mathematical Theory of Super-resolution This paper develops a mathematical theory of super-resolution. Broadly speaking, super-resolution is the problem of recovering the fine details of an objec... EJ Candès,C Fernandez-Granda - 《Communications on Pure & Applied Mathematics》 被引量:...
Convolutional neural networks depend on deep network architectures to extract accurate information for image super‐resolution. However, obtained information of these convolutional neural networks cannot completely express predicted high‐quality images for complex scenes. A dynamic network for image super‐res...