Use MOOC to learn image denoising techniques

Ting Zhao
{"title":"Use MOOC to learn image denoising techniques","authors":"Ting Zhao","doi":"10.4108/eetel.4396","DOIUrl":null,"url":null,"abstract":"This article focuses on using MOOCs to learn image denoising techniques. It begins with an introduction to the concept of MOOCs - these innovative online learning platforms that offer a wide range of courses across disciplines, providing convenient and affordable learning opportunities for a global audience. It then explains the characteristics of MOOC's wide coverage, high flexibility, and different from traditional education models. It then introduces the advantages of MOOCs: accessibility and inclusiveness (open to anyone with an Internet connection), cost-effectiveness (a cost-effective alternative, many courses available for free), flexibility and self-paced learning (the ability to learn at your own pace), a diverse curriculum and global expertise. Then the concept of image denoising is introduced - image denoising is a basic process of digital image processing, and the common denoising methods are described: filter method and the applicable range of various filters, the advantages and disadvantages of wavelet change, the advantages of deep learning method and the principle of non-local mean denoising technology. It then describes how MOOCs can help learn image denoising: integrating course content, getting expert guidance, hands-on exercises and projects, and community and peer communication. In addition, it introduces the challenges encountered by MOOCs: high dropout rate, quality and credibility of MOOCs, lack of interaction and humanization in traditional classrooms, accessibility. The relationship between E-learning and MOOC is also introduced – E-learning and MOOC play complementary roles in modern education. MOOC provide a structured, flexible, cost-effective environment and a transformative educational experience for learning about biological image denoising.","PeriodicalId":502644,"journal":{"name":"EAI Endorsed Transactions on e-Learning","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EAI Endorsed Transactions on e-Learning","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4108/eetel.4396","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This article focuses on using MOOCs to learn image denoising techniques. It begins with an introduction to the concept of MOOCs - these innovative online learning platforms that offer a wide range of courses across disciplines, providing convenient and affordable learning opportunities for a global audience. It then explains the characteristics of MOOC's wide coverage, high flexibility, and different from traditional education models. It then introduces the advantages of MOOCs: accessibility and inclusiveness (open to anyone with an Internet connection), cost-effectiveness (a cost-effective alternative, many courses available for free), flexibility and self-paced learning (the ability to learn at your own pace), a diverse curriculum and global expertise. Then the concept of image denoising is introduced - image denoising is a basic process of digital image processing, and the common denoising methods are described: filter method and the applicable range of various filters, the advantages and disadvantages of wavelet change, the advantages of deep learning method and the principle of non-local mean denoising technology. It then describes how MOOCs can help learn image denoising: integrating course content, getting expert guidance, hands-on exercises and projects, and community and peer communication. In addition, it introduces the challenges encountered by MOOCs: high dropout rate, quality and credibility of MOOCs, lack of interaction and humanization in traditional classrooms, accessibility. The relationship between E-learning and MOOC is also introduced – E-learning and MOOC play complementary roles in modern education. MOOC provide a structured, flexible, cost-effective environment and a transformative educational experience for learning about biological image denoising.
利用 MOOC 学习图像去噪技术
本文的重点是利用 MOOC 学习图像去噪技术。文章首先介绍了 MOOC 的概念--这些创新的在线学习平台提供广泛的跨学科课程,为全球受众提供方便、实惠的学习机会。然后,介绍了 MOOC 覆盖面广、灵活性高、有别于传统教育模式的特点。然后介绍了 MOOC 的优势:可访问性和包容性(对任何有互联网连接的人开放)、成本效益(一种成本效益高的替代方式,许多课程免费提供)、灵活性和自定进度学习(能够按照自己的进度学习)、多样化的课程和全球专业知识。然后介绍了图像去噪的概念--图像去噪是数字图像处理的一个基本过程,并介绍了常用的去噪方法:滤波器方法和各种滤波器的适用范围、小波变化的优缺点、深度学习方法的优点和非局部均值去噪技术的原理。然后介绍了 MOOC 如何帮助学习图像去噪:整合课程内容、获得专家指导、实践练习和项目以及社区和同行交流。此外,文章还介绍了 MOOCs 面临的挑战:辍学率高、MOOCs 的质量和可信度、传统课堂缺乏互动和人性化、可及性。还介绍了电子学习和 MOOC 的关系--电子学习和 MOOC 在现代教育中发挥着互补作用。MOOC 为学习生物图像去噪提供了一个结构化的、灵活的、具有成本效益的环境和变革性的教育体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信