Work

Effects of Normalised SSIM Loss on Super-Resolution Tasks

Year: 2025

Type: article

Abstract: 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

Source: Computer Modeling in Engineering & Sciences

DOI: 10.32604/cmes.2025.066025

Authors: Adéla Hamplová, Tomáš Novák, Miroslav Žáček, Jiří Brožek

Language: English

Topic: Advanced Image Processing Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4411827764

FWCI: 0.749

Cites: 7

Cited by: 2

Related to: 10