-
Detecting Image Forgery Based On Color Phenomenology
AbstractWe propose White Point-Illuminant Consistency (WPIC) algorithm that detects manipulations in images based on the phenomenology of color. Segmented regions of the image are converted to chromaticity coordinates and compared to the white point reported in the camera's EXIF file. In manipulated images, the chromaticity coordinates will have a shifted illuminant color relative to the EXIF-reported white point. Absent manipulation, chromaticity coordinates will be in agreement with the specified white point. We detect image manipulations using a convolutional neural net- work operating on a histogram of relevant statistics that indicate the white point shift. We verify this using a real world data set to demonstrate its effectiveness.
Related Material
[pdf][bibtex]@InProceedings{Stanton_2019_CVPR_Workshops,
author = {Stanton, Jamie and Hirakawa, Keigo and McCloskey, Scott},
title = {Detecting Image Forgery Based On Color Phenomenology},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}
These CVPR 2019 workshop papers are the Open Access versions, provided by the Computer Vision Foundation.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
Except for the watermark, they are identical to the accepted versions; the final published version of the proceedings is available on IEEE Xplore.
This material is presented to ensure timely dissemination of scholarly and technical work.
Copyright and all rights therein are retained by authors or by other copyright holders.
All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright.