Title :
Demosaicing strategy identification via eigenalgorithms
Author :
Milani, S. ; Bestagini, P. ; Tagliasacchi, M. ; Tubaro, S.
Author_Institution :
Dipt. di Elettron., Inf., e Bioingegneria, Politec. di Milano, Milan, Italy
Abstract :
The identification of the camera that has acquired a specific image can be performed via several device-related footprints. Among these, it is possible to look for the traces left by the adopted color demosaicing strategy, which varies according to the camera model and vendor. The paper presents an identification strategy that re-processes the analyzed image with a set of distinctive CFA interpolation algorithms (eigenalgorithms) and, according to the correlation of the output with the original image, builds a set of features that permits identifying the algorithm. The proposed solution performs well with respect to other state-of-the-art solutions also when the analyzed image is severely compressed.
Keywords :
eigenvalues and eigenfunctions; image colour analysis; image segmentation; image sensors; interpolation; camera identification; camera model; camera vendor; color demosaicing strategy; demosaicing strategy identification; device related footprints; distinctive CFA interpolation algorithms; eigenalgorithms; Algorithm design and analysis; Cameras; Conferences; Image coding; Image color analysis; Interpolation; Transform coding; Bayer mask; CFA interpolation; demosaicing identification; device identification; image forensics;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location :
Florence
DOI :
10.1109/ICASSP.2014.6854082