Visual cryptography – file repository

About

In this page we collect the data and images related to our interest in visual cryptography.

Leszek J Chmielewski, Mariusz Nieniewski and Arkadiusz Orłowski
Authors

Copyright

Copyright (C) Leszek J Chmielewski, Arkadiusz Orłowski and Mariusz Nieniewski, and the copyright holders of the respective publications. These data are made available for personal and private reading purposes, as respective parts of preprints of the related papers. See also the notes inside the preprints available in the respective sections.

To use these data in your publication, besides the requirements posed by the Publishers of our relevant papers, you should cite the publication in which the files appeared, and this web page "www.lchmiel.pl/visualcrypto" .

Contents: List of publications and file sets

• L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Testing the randomness of shares in color visual cryptography. Pattern Analysis and Applications (2021) DOI:10.1007/s10044-021-00999-5
      go to files
• L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Can color visual cryptography be truly random? Progress in Image Processing, Pattern Recognition and Communication Systems – Proc. Conf. (CORES, IP&C, ACS) 2021. Choraś, M.; Choraś, R.S.; Kurzyński, M.; others., Eds. Vol. 255 in Lecture Notes in Networks and Systems, pp. 72-86. Springer (2021) DOI:10.1007/978-3-030-81523-3_7
    go to files

• L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Color visual cryptography coded in pure noise. Journal to be Chosen (2023) In preparation
      go to files
• Test images used in the papers
      go to files
• All our publications on visual cryptography can be found in Publications by L.J.C.

Files sets related to publications

• Files for:
  L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Testing the randomness of shares in color visual cryptography. Pattern Analysis and Applications (2021) DOI:10.1007/s10044-021-00999-5
• Preprint of the paper | Supplementary material

Originals of the images used in the paper

• Fig. 3
• Fig. 3a
• Fig. 3b
• Fig. 3c
• Fig. 3d
• Fig. 3e
• Fig. 3f
• Fig. 3g (share1)     (share 2, not shown in the paper)
• Fig. 3h (share1)     (share 2, not shown in the paper)
• Fig. 3i
• Fig. 4
• Fig. 4a (share 1)     (similar case, not shown in the paper: share 1, share 2)
• Fig. 4b (share 1)     (share 2, not shown in the paper)
• Fig. 4c
• Fig. 4d (share 1)     (share 2, not shown in the paper)
• Fig. 4e
• Fig. 4f
• Fig. 5
• Fig. 5a
• Fig. 5b
• Fig. 5c
• Fig. 5d
• Fig. 5e
• Fig. 5f
• Fig. 6
• Fig. 6 left
• Fig. 6 right
• Fig. 9
• Fig. 9a
• Fig. 9b
• Fig. 9c
• Fig. 9d

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• Files for:
  L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Can color visual cryptography be truly random? Progress in Image Processing, Pattern Recognition and Communication Systems – Proc. Conf. (CORES, IP&C, ACS) 2021. Choraś, M.; Choraś, R.S.; Kurzyński, M.; others., Eds. Vol. 255 in Lecture Notes in Networks and Systems, pp. 72-86. Springer (2021) DOI:10.1007/978-3-030-81523-3_7
• Preprint of the paper

Originals of the images used in the paper

• Fig. 4
• Fig. 4a
• Fig. 4b
• Fig. 4c
• Fig. 4d
• Fig. 4e
• Fig. 4f
• Fig. 4g (share 2)    (share 1, not shown in the paper)
• Fig. 4h (share 2)    (share 1, not shown in the paper)
• Fig. 4i (share 2)    (share 1, not shown in the paper)
• Fig. 5
• Fig. 5a
• Fig. 5b
• Fig. 5c
• Fig. 5d
• Fig. 6
• Fig. 6a
• Fig. 6b
• Fig. 6c
• Fig. 6d
• Fig. 7
• Fig. 7a
• Fig. 7b
• Fig. 7c
• Fig. 7d
• Fig. 7e
• Fig. 7f
• Fig. 7g
• Fig. 7h
• Fig. 7i

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• Files for:
  L. J. Chmielewski, M. Nieniewski, and A. Orłowski. Color visual cryptography coded in pure noise. Journal to be Chosen (2023) In preparation
• Preprint of the paper will be available one day

This section is currently under construction

In this repository of supplementary files the images used and generated within this study are made available. The main reason for providing these images is that they can be better viewed on electronic displays in full resolution than in the form available in this paper, especially when compression and printing on paper is present in the publishing process. Files with graphs which are in vector format and small images which are visible in the publication with sufficient accuracy and which were not processed with the described methods are not shown.

Originals of the images used in the paper

• Fig. 4
• Fig. 4a    Fig. 4b    Fig. 4c
• Fig. 4d    Fig. 4e    Fig. 4f
• Fig. 4g (share 2)   (share 1, not shown in the paper)
• Fig. 4h (share 2)   (share 1, not shown in the paper)
• Fig. 4i (share 2)   (share 1, not shown in the paper)
• Fig. 5
• Fig. 5a    Fig. 5b
• Fig. 5c    Fig. 5d
• Fig. 9
• Fig. 9a25    Fig. 9b25    Fig. 9c25
• Fig. 9a36    Fig. 9b36    Fig. 9c36
• Fig. 9a42    Fig. 9b42    Fig. 9c42
• Fig. 9a49    Fig. 9b49    Fig. 9c49
• Fig. 9a64    Fig. 9b64    Fig. 9c64
• Fig. 10
• Fig. 10a25    Fig. 10b25    Fig. 10c25
• Fig. 10a64    Fig. 10b64    Fig. 10c64
• Fig. 11
• Fig. 11a1    Fig. 11b1    Fig. 11c1 (share 2)   (share 1, not shown in the paper)
• Fig. 11a2    Fig. 11b2    Fig. 11c2 (share 2)   (share 1, not shown in the paper)
• Fig. 11a3    Fig. 11b3    Fig. 11c3 (share 2)   (share 1, not shown in the paper)
• Fig. 13
• Fig. 13a1    Fig. 13b1    Fig. 13c1 (share 2)   (share 1, not shown in the paper)
• Fig. 13a2    Fig. 13b2    Fig. 13c2 (share 2)   (share 1, not shown in the paper)
• Fig. 13a3    Fig. 13b3    Fig. 13c3 (share 2)   (share 1, not shown in the paper)

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• Test images

The images were collected during the years of our work in various web resources, mainly those listed in [1] and [2]. These pages are historical, they have undergone many changes, and with time many links disappeared. Therefore, now it is difficult to find many of the images in them. It is also difficult or impossible to track the original source and the authors. For years they have been freely used by the people working in image processing, they have been used in numerous publications, so we assume we can also use them in the same way. See also [3] for explanations.

The images with reduced sizes were scaled down with the IrfanView graphic viewer [4], function "Image | Resize/Resample", Size method: Resample, Filter: Lanczos.

• test100 (by LC), original size 100×40
• test100c (by LC), original size 100×40 – similar to test100, but colors sequenced, by rows: (R, G, B, W, bright grey), (C, M, Y, K, dark grey).
• baboon, original size 500×480
• baboon, quarter size 125×120
• parrots, original size 768×512
• parrots, half size 384×256
• peppers, original size 512×512
• Lena, original size 512×512
• boats, original size 787×576

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References

1. D. Huber et al. The Computer Vison HomePage, 2004. https://www.cs.cmu.edu/~cil/vision.html [Accessed Feb 2019]
2. R. Franzen. RWF’s Eclectic Miscellany, 2015. http://r0k.us [Accessed Feb 2019]
3. Wikipedia contributors. Standard test image, May 2021. In Wikipedia, The Free Encyclopedia. https://en.wikipedia.org/w/index.php?title=Standard_test_image&oldid=1021138095 [Accessed Jun 2021]
4. I. Skiljan. IrfanView graphic viewer. https://www.irfanview.com/ [Accessed Jun 2021]