Springer CALL FOR BOOK CHAPTERS 2020: Computational Intelligence Methods for Super- Resolution in Image Processing Applications Book Series: Biological and Medical Physics, Biomedical Engineering (original) (raw)

2020, Springer Call for Book Chapters

SCOPE OF THE BOOK Super-Resolution (SR) techniques can be used in general image processing, microscopy, security, biomedical imaging, automation/robotics, biometrics among other areas to handle the dimensionality conundrum posed by the conflicts caused by the necessity to balance image acquisition, image modality/resolution/representation, subspace decomposition, compressed sensing, and communications constraints. Lighter computational implementations are needed to circumvent the heavy computational burden brought in by SR image processing applications. Soft computing and, specifically, Deep Learning (DL) ascend as possible solutions to SR efficient deployment. The amount of multi-resolution and multimodal images has been augmenting the need for more efficient and intelligent analyses, for example, computer-aided diagnosis via Computational Intelligence (CI) techniques. To facilitate this to the research community working in various fields, we and Springer Nature are coming up with Book consolidating the work carried in the subject of Computational Intelligence methods for Super Resolution in Image Processing Applications. The intend of publishing the book is to serve for researchers, technology professionals, academicians and students working in the area of latest advances and upcoming technologies employing CI methods for SR in imaging processing applications. This book explores the application of deep learning techniques within a particularly difficult computational type of computer vision problem: SR. This book aspires to provide assortment of novel research works that focuses on broad challenges of CI approaches for SR in image processing applications. We invite all researchers, academicians, developers and research scholars to contribute chapters in the field of CI and SR with an emphasis on practical examples. Each article is expected to cover Computational Intelligence methods for Super Resolution in image processing applications.