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PPG-LIRMM-COLOR

The 512×512 PPG-LIRMM-COLOR database :

In order to build the PPG-LIRMM-COLOR database image [1, 2, 3], the full-resolution raw images were collected from two standard subsets:
- 3500 full-resolution Nikon digital camera raw color images from the Dresden Image Database [Dresden 2010],
- and 1000 Canon digital camera raw color images from the BOSS base [BOSS 2011].

Afterwards, the RGB color images are obtained by using the Patterned Pixel Grouping (PPG) demosaicking algorithm used in dcraw. Finally, from each color RGB image, we randomly extracted five cropped images measuring 512×512. In this last process, the cropped images are extracted carefully, so that the CFA map layout always stays the same (red channel pixel is always at the top-left corner such that the Bayer Pattern is always of type RGBG), as illustrated in the Figure. Finally, we keep the 512x512 images having the higher variations in order to obtain 10, 000 RGB images (ppm format).

HOW TO CITE the PPG-LIRMM-COLOR database:
If researchers use this free-access database, they are required to cite this paper [1].

LINK for downloading the database: PPG-LIRMM-COLOR.7z.

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[1] Hasan Abdulrahman, Marc Chaumont, Philippe Montesinos, and Baptiste Magnier, "Color Image Steganalysis Based on Steerable Gaussian Filters Bank," IH&MMSec'2016, in Proceedings of the 4th ACM workshop on Information Hiding and Multimedia Security, Vigo, Galicia, Spain, 6 pages, June 20-22, 2016. Acceptance Rate = 36.2%. pdfslidesMatlab codeFAQ.

[2] Hasan Abadulrahman, Marc Chaumont, Philippe Montesinos and Baptiste Magnier, "Color Images Stegananalysis Using RGB Channel Geometric Transformation Measures", Wiley Journal on Security and Communication Networks (SCN) - Special Issue on Cyber Crime,  Edited By: Hsiao-Hwa Chen and Hamid R. Sharif, Guest Editors: Wojciech Mazurczyk, Krzysztof Szczypiorski, Zoran Duric, Dengpan Ye, Wuhan University, extended paper of IWCC, 11 pages, ISSN 1939-0122, DOI 10.1002/sec.1427, 2016, pdf.

[3] H. Abadulrahman, M. Chaumont, P. Montesinos, and B. Magnier. "Color Image Steganalysis using Correlations between RGB Channels", IWCC2015, The 4th International Workshop on Cyber Crime, http://stegano.net/IWCC2015/, co-located with 10th International Conference on Availability, Reliability and Security - ARES 2015, organized by W. Mazurczyk, K. Szczypiorski, and A. Janicki, Université Paul Sabatier, Toulouse, France, August 24-28, 2015, 7 pages. pdf.

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[Dresden 2010] T. Gloe and R. Böhme. "The dresden image database" for benchmarking digital image forensics. In Proc. ACM Symp. on Applied Computing, Sierre, Switzerland, Vol.2:pp.1584–1590, Mar. 2010.

[BOSS 2011] P. Bas, T. Filler, and T. Pevny. "Break our steganographic system": The ins and outs of organizing boss. Inf. Hiding, 13th Int. Workshop, Lecture Notes in Computer Science, Prague, Czech Republic, pages 59–70, May 2011.