Physics Informed and Data Driven Simulation of Underwater Images via Residual Learning

1 code implementation • 7 Feb 2024 • Tanmoy Mondal, Ricardo Mendoza, Lucas Drumetz

We propose a deep learning-based architecture to automatically simulate the underwater effects where only a dehazing-like image formation equation is known to the network, and the additional degradation due to the other unknown factors if inferred in a data-driven way.

Image Dehazing