@article{1437208,
      recid = {1437208},
      author = {Deshpande, Anand, and Estrela, Vania Vieira. and Razmjooy,  Navid,},
      title = {Computational intelligence methods for super-resolution in  image processing applications /},
      publisher = {Springer,},
      address = {Cham :},
      pages = {1 online resource (308 pages)},
      year = {2021},
      note = {Includes index.},
      abstract = {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. Demystifies computational intelligence  for those working outside of engineering and computer  science; Introduces cross-disciplinary platforms and  dialog; Emphasizes modularity for enhancing computational  intelligence frameworks.},
      url = {http://library.usi.edu/record/1437208},
      doi = {https://doi.org/10.1007/978-3-030-67921-7},
}