1 code implementation • 25 Mar 2024 • Francesco Di Feola, Lorenzo Tronchin, Valerio Guarrasi, Paolo Soda
To grasp highly complex and non-linear textural relationships in the training process, this work presents a loss function that leverages the intrinsic multi-scale nature of the Gray-Level-Co-occurrence Matrix (GLCM).
1 code implementation • 11 Apr 2023 • Francesco Di Feola, Lorenzo Tronchin, Paolo Soda
To this end, we can use quantitative image quality assessment scores that we divided into two categories, i. e., paired and unpaired measures.