文件列表:

demo-CFA-Loc\CFAloc.m (2406, 2012-12-14)
demo-CFA-Loc\demo.asv (2114, 2012-12-14)
demo-CFA-Loc\demo.m (2192, 2012-12-14)
demo-CFA-Loc\EMGaussianZM.m (1803, 2012-12-14)
demo-CFA-Loc\flowers-tampered.tiff (574698, 2012-12-12)
demo-CFA-Loc\flowers.tiff (575124, 2012-12-12)
demo-CFA-Loc\garden-tampered.jpg (186574, 2012-12-12)
demo-CFA-Loc\garden.jpg (185800, 2012-12-12)
demo-CFA-Loc\gaussian_window.m (1171, 2012-12-14)
demo-CFA-Loc\getFeature.m (1190, 2012-12-14)
demo-CFA-Loc\getMap.m (1175, 2012-12-14)
demo-CFA-Loc\getVarianceMap.m (2167, 2012-12-14)
demo-CFA-Loc\gpl.txt (35147, 2011-12-07)
demo-CFA-Loc\loglikelihood.m (1389, 2012-12-14)
demo-CFA-Loc\MoGEstimationZM.m (1492, 2012-12-14)
demo-CFA-Loc\prediction.m (1145, 2012-12-14)
demo-CFA-Loc (0, 2012-12-14)

Copyright (C) 2011 Pasquale Ferrara, Tiziano Bianchi, Alessia De Rosa and Alessandro Piva, Dipartimento di Elettronica e Telecomunicazioni - Università di Firenze via S. Marta 3 - I-50139 - Firenze, Italy This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see . *************** * Description * *************** this archive includes a Matlab implementation of an algorithm to detect the presence/absence of CFA artifacts to localize forged region as described in P. Ferrara, T. Bianchi, A. De Rosa and P. Piva, "Image Forgery Localization via Fine-Grained Analysis of CFA Artifacts", IEEE Transactions on Information Forensics & Security, vol. 7, no. 5, Oct. 2012 (published online June 2012), pp. 1566-1577. ************ * Platform * ************ Matlab 7.4.0 (R2007a) (should work also on newer versions) ************** *Environment * ************** tested on Windows XP x*** and Linux. ************************ *Component Description * ************************ demo.m: demo script CFAloc.m: baseline algorithm EMGaussianZM.m: Expectation-Maximization algorithm with a zero-forced component MoGEstimationZM.m: Estimate model parameter gaussian_window.m: generate a Gaussian window of 7x7 dimensions getFeature.m: calculate the proposed feature getMap.m: generate log-likelihood map getVarianceMap.m: generate local variances map likelihood.m: calculate likelihood map prediction.m: prediction with a bilinear kernel flowers.tif: tiff untampered image flowers-tampered.tif: tiff tampered image garden.jpg: JPEG untampered image garden-tampered.jpg: JPEG tampered image README.txt: this file gpl.txt: GPL license *********************** * Set-up Instructions * *********************** extract all files to a single directory. Add the directory to the Matlab path, or set it as the current Matlab directory ******************** * Run Instructions * ******************** run demo.m from Matlab prompt ********************** * Output Description * ********************** the output show the original and the tampered image, the map to localize the forged regions, and the histogram of the proposed feature. This latter shows how the feature complies with the model. The algorithm is applied to TIFF and JPEG (quality 100%) images. *********************** * Contact Information * *********************** pasquale.ferrara@unifi.it

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