Super resolution reconstruction for medical image based on adaptive multi-dictionary learning and structural self-similarity
Author:
Affiliation:
1. Tianjin Key Laboratory of Optoelectronic Detection Technology and Systems, Tianjin, China;
2. School of Electronics and Information Engineering, Tianjin Polytechnic University, Tianjin, China
Funder
National Natural Science Foundation of China
Tianjin Natural Science Foundation
University of Tianjin
Publisher
Informa UK Limited
Subject
Family Practice,Computer Science Applications,Surgery
Link
https://tandfonline.com/doi/pdf/10.1080/24699322.2018.1560092
Reference9 articles.
1. Super-Resolution Based on Compressive Sensing and Structural Self-Similarity for Remote Sensing Images
2. Image Super-Resolution Via Sparse Representation
3. Image Deblurring and Super-Resolution by Adaptive Sparse Domain Selection and Adaptive Regularization
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Fusion of Hyperspectral-Multispectral images joining Spatial-Spectral Dual-Dictionary and structured sparse Low-rank representation;International Journal of Applied Earth Observation and Geoinformation;2021-12
2. Reducing reconstruction error of classified textural patches by integration of random forests and coupled dictionary nonlinear regressors: with applications to super-resolution of abdominal CT images;International Journal of Computer Assisted Radiology and Surgery;2021-07-14
3. Using super-resolution generative adversarial network models and transfer learning to obtain high resolution digital periapical radiographs;Computers in Biology and Medicine;2021-02
4. Analysis of Lossy and Lossless Compression Algorithms for Computed Tomography Medical Images Based on Bat and Simulated Annealing Optimization Techniques;Computational Intelligence Methods for Super-Resolution in Image Processing Applications;2021
5. Sparse representation based computed tomography images reconstruction by coupled dictionary learning algorithm;IET Image Processing;2020-07-27
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3