Depth simulation of underwater images for data augmentation

  • Micholo Lanz Billones Medrana National Institute of Physics, University of the Philippines Diliman
  • Maricor Narvaez Soriano National Institute of Physics, University of the Philippines Diliman

Abstract

A method of simulating underwater images at a depth displaced by some desired factor is proposed with an application for data augmentation in machine learning. An at-depth PSF is generated and convolved with a recovered undegraded image to account for decreased resolution effects, and a transmission map is generated via single-image underwater dark channel prior (UDCP) and displaced by a distance d to reconstruct a final at-depth image. The accuracy of the depth simulation is compared between rescale only and PSF with rescale methods, using actual coral at-depth as the ground truth. The results of this validation show a high structural similarity for the simulated images compared with just a single rescale.

Published
2019-05-22
How to Cite
[1]
M. L. Medrana and M. Soriano. Depth simulation of underwater images for data augmentation, Proceedings of the Samahang Pisika ng Pilipinas 37, SPP-2019-1C-06 (2019). URL: https://paperview.spp-online.org/proceedings/article/view/SPP-2019-1C-06.
Section
Instrumentation, Imaging, and Signal Processing