Computational Intelligence Methods for Super-Resolution in Image Processing Applications (Hardcover, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	May 2021
First published:	2021
Editors:	Anand Deshpande • Vania V. Estrela • Navid Razmjooy
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	305
Edition:	1st ed. 2021
ISBN-13:	978-3-03-067920-0
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Industrial chemistry & manufacturing technologies > Other manufacturing technologies > Precision instruments manufacture > General
LSN:	3-03-067920-9
Barcode:	9783030679200

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