| 书目名称 | Computational Intelligence Methods for Super-Resolution in Image Processing Applications | | 编辑 | Anand Deshpande,Vania V. Estrela,Navid Razmjooy | | 视频video | | | 概述 | Demystifies computational intelligence for those working outside of engineering and computer science.Introduces cross-disciplinary platforms and dialog.Emphasizes modularity for enhancing computationa | | 图书封面 |  | | 描述 | .This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision (CV) problem ─ super-resolution (SR). The authors present and discuss ways to apply computational intelligence (CI) methods to SR. The volume also explores the possibility of using different kinds of CV techniques to develop and enhance the tools/processes related to SR. The application areas covered include biomedical engineering, healthcare applications, medicine, histology, and material science. The book will be a valuable reference for anyone concerned with multiple multimodal images, especially professionals working in remote sensing, nanotechnology and immunology at research institutes, healthcare facilities, biotechnology institutions, agribusiness services, veterinary facilities, and universities.. | | 出版日期 | Book 2021 | | 关键词 | Super-resolution; Image processing; Computational intelligence; Artificial intelligence; Biomedical engi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-67921-7 | | isbn_softcover | 978-3-030-67923-1 | | isbn_ebook | 978-3-030-67921-7 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:41:49
