Effects of Normalised SSIM Loss on Super-Resolution Tasks
This study proposes a new component of the composite loss function minimised during training of the Super-Resolution (SR) algorithms—the normalised structural similarity index loss , which has the potential to improve the n... | Find, read and cite all the research you need on Tech Science Press
Authors
- Jiří Brožek
- Adéla Hamplová (ORCID: https://orcid.org/0000-0002-1012-650X)
- Tomáš Novák (ORCID: https://orcid.org/0000-0001-9156-9654)
- Miroslav Žáček (ORCID: https://orcid.org/0000-0001-9798-5114)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.066025
- Primary Topic
- Advanced Optical Sensing Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00