Context-Aware Convolutional Neural Network for Single Image Super-Resolution
Super-resolution is an algorithm for reconstructing high-resolution image from low-resolution image. It is one of the more active research topics in the field of computer vision. In recent years, convolutional neural network has made much progress in sing
- PDF / 65,976,395 Bytes
- 456 Pages / 439.37 x 666.142 pts Page_size
- 101 Downloads / 238 Views
35
Robotics and Rehabilitation Intelligence First International Conference, ICRRI 2020 Fushun, China, September 9–11, 2020 Proceedings, Part I
Communications in Computer and Information Science Editorial Board Members Joaquim Filipe Polytechnic Institute of Setúbal, Setúbal, Portugal Ashish Ghosh Indian Statistical Institute, Kolkata, India Raquel Oliveira Prates Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil Lizhu Zhou Tsinghua University, Beijing, China
1335
More information about this series at http://www.springer.com/series/7899
Jianhua Qian Honghai Liu Jiangtao Cao Dalin Zhou (Eds.) •
•
•
Robotics and Rehabilitation Intelligence First International Conference, ICRRI 2020 Fushun, China, September 9–11, 2020 Proceedings, Part I
123
Editors Jianhua Qian Liaoning Shihua University Fushun, China
Honghai Liu University of Portsmouth Portsmouth, UK
Jiangtao Cao Liaoning Shihua University Fushun, China
Dalin Zhou University of Portsmouth Portsmouth, UK
ISSN 1865-0929 ISSN 1865-0937 (electronic) Communications in Computer and Information Science ISBN 978-981-33-4928-5 ISBN 978-981-33-4929-2 (eBook) https://doi.org/10.1007/978-981-33-4929-2 © Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Singapore Pte Ltd. The registered company address is: 152 Beach Road, #21-01/04 Gateway East, Singapore 189721, Singapore
Preface
The First International Conference on Robotics and Rehabilitation Intelligence (ICRRI 2020) was held at Liaoning Shihua University, China. ICRRI is a newly-established international conference sponsored by Springer, IEEE SMCS Japan Chapter, and IEEE SMCS Portsmouth Chapter, focusing on the advanced development of Intelligence in Robotics and Rehabilitation Engineering. ICRRI 2020 covered both theory an