Published October 8, 2024 | Version v6
Dataset Open

Investigating Self-Supervised Image Denoising with Denaturation

Authors/Creators

  • 1. ROR icon Fujitsu (Japan)

Contributors

Project leader:

Project manager:

  • 1. Institute of Science Tokyo
  • 2. ROR icon RIKEN Center for Computational Science
  • 3. ROR icon Fujitsu (Japan)
  • 4. ROR icon RIKEN Center for Advanced Intelligence Project

Description

The attached zip file conatains image data and Python codes for reproducing the partial results shown in Expt.1, Expt.2, Expt.3, and Expt.4 of the arXiv paper [1]. 
First, check "readme" file in the zip file for the reproduction.  

Files

dn2n_research_data_revised_20241007.zip

Files (114.7 MB)

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md5:061ed2982ae8671fd1bfc3f80d7806a2
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Additional details

Funding

Ministry of Education, Culture, Sports, Science and Technology
Program for Promoting Researches on the Supercomputer Fugaku JPMXP1020230120

Dates

Created
2024-10-08

References

  • [1] H. Waida, K. Yamazaki, A. Tokuhisa, M. Wada, and Y. Wada, "Investigating Self-Supervised Image Denoising with Denaturation", arXiv, 2024