Depth simulation of underwater images for data augmentation

Authors

  • 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.

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Published

2019-05-22

How to Cite

[1]
MLB Medrana and MN Soriano, Depth simulation of underwater images for data augmentation, Proceedings of the Samahang Pisika ng Pilipinas 37, SPP-2019-1C-06 (2019). URL: https://proceedings.spp-online.org/article/view/SPP-2019-1C-06.

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Section

Instrumentation, Imaging, and Signal Processing