Photographic dataset: playing cards

David Villacis, Santeri Kaupinmäki, Samuli Siltanen, Teemu Helenius

February 2022

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Abstract

This document reports the acquisition, structure and properties of a digital photographic dataset collected at the Industrial Mathematics Laboratory of the Department of Mathematics and Statistics of University of Helsinki, Finland. This dataset is designed to test and benchmark several image processing tasks, including: image denoising, image inpainting, etc., under the presence of real noise. This dataset is built with the goal of helping researchers in image processing and related areas to avoid the use of synthetic generated noise and blur to provide benchmarks and objective results.

Bibtex

@misc{villacis2017photographicdatasetplayingcards,
  title         = {Photographic dataset: playing cards},
  author        = {David Villacis and Santeri Kaupinmäki and Samuli Siltanen and Teemu Helenius},
  year          = {2017},
  eprint        = {1701.07354},
  archiveprefix = {arXiv},
  primaryclass  = {cs.CV},
  url           = {https://arxiv.org/abs/1701.07354},
  abstract      = {This document reports the acquisition, structure and properties of a digital photographic dataset collected at the Industrial Mathematics Laboratory of the Department of Mathematics and Statistics of University of Helsinki, Finland.
This dataset is designed to test and benchmark several image processing tasks, including: image denoising, image inpainting, etc., under the presence of real noise.
This dataset is built with the goal of helping researchers in image processing and
related areas to avoid the use of synthetic generated noise and blur to provide benchmarks and objective results.}
}