Video super-resolution via residual learning

W Wang, C Ren, X He, H Chen, L Qing - IEEE Access, 2018 - ieeexplore.ieee.org
Convolutional neural networks have been widely applied in many low level vision tasks. In
this paper, we propose a video super-resolution (SR) method named enhanced video SR …

[PDF][PDF] 基于多尺度特征融合的超分辨率重建算法研究

仝卫国, 蔡猛, 庞雪纯, 翟永杰 - 科学技术与工程, 2022 - stae.com.cn
摘要超分辨率重建技术可以提高图像质量, 使原图像具有更丰富的细节信息.
针对现有的超分辨率重建算法存在提取特征单一, 不利于对图像信息进一步提取的问题 …

Edge detector of SAR images using crater-shaped window with edge compensation strategy

QR Wei, DZ Feng, H Xie - IEEE Geoscience and Remote …, 2015 - ieeexplore.ieee.org
By introducing a crater-shaped window (CSW) instead of the traditional square-shaped
window (SSW), an edge detector with low false positive rate is proposed to rapidly extract …

[PDF][PDF] 基于角点保护的偏微分方程图像插值方法

肖志涛, 冯铁君, 张芳, 耿磊, 吴骏, 李月龙, 王丹钰… - 电子与信息学报, 2015 - edit.jeit.ac.cn
图像插值是数字图像处理领域中的一个基本问题, 利用插值技术可以实现图像的缩放和图像恢复
. 传统的插值方法易使边缘产生锯齿效应或使插值结果模糊不清. 该文提出一种基于角点保护的 …

Antistretch edge detector for SAR images

QR Wei, DZ Feng - IEEE Geoscience and Remote Sensing …, 2018 - ieeexplore.ieee.org
In this letter, an antistretch edge detector has been proposed for synthetic aperture radar
(SAR) images. Traditional detectors using anisotropy edge detection filters often incur …

[引用][C] 图像超分辨率技术的回顾与展望

刘颖, 朱丽, 林庆帆, 李莹华, 王富平, 卢津 - 计算机科学与探索, 2020

[HTML][HTML] 基于多尺度残差网络与正则化约束的MR 图像超分辨算法

蔡言 - Pure Mathematics, 2021 - hanspub.org
核磁共振高分辨率的图像可以提供更加丰富的病理信息, 起到辅助诊断的作用,
超分辨重建是利用低分辨率图像通过算法重建出高分辨率图像的技术. 本文研究了针对核磁共振 …

AFM image reconstruction using compensation model of thermal drift

S Yuan, L Liu, Z Wang, N Xi, S Yuan, L Liu… - AFM-Based Observation …, 2020 - Springer
The system thermal drift is an uncertain factor in the scanning of the AFM image. Thermal
drift is difficult to be detected by using traditional sensor. Therefore, digital image method is …

Image interpolation with corner preserving based on partial differential equation

X Zhi-tao, F Tie-jun, Z Fang, G Lei, W Jun, L Yue-long… - 电子与信息学报, 2015 - jeit.ac.cn
Image interpolation is a basic issue in digital image processing, which can be used to
realize image magnification and restoration, etc.. Traditional interpolation methods are easy …

Super-resolution reconstruction of single image based on multiscale recursive residual network

M Dong, J Huang - IOP Conference Series: Materials Science …, 2020 - iopscience.iop.org
In order to solve the problems of single image super-resolution algorithm based on
convolutional neural network, such as shallow network structure, single feature extraction …