• Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Computational Intelligence Methods for Super-Resolution in Image Processing Applications

Computational Intelligence Methods for Super-Resolution in Image Processing Applications

Paperback

Technology & Engineering

ISBN10: 3030679233
ISBN13: 9783030679231
Publisher: Springer Nature
Published: May 30 2022
Pages: 305
Weight: 0.99
Height: 0.67 Width: 6.14 Depth: 9.21
Language: English

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.

Also in

Technology & Engineering