Paper Info
Title
Analysis of denoising filters for photo response non uniformity noise extraction in source camera identification
Abstract
Identification of the source that has generated a digital content is considered one of the main open issues in multimedia forensics community. The extraction of photo-response non-uniformity (PRNU) noise has been so far indicated as a mean to identify sensor fingerprint. Such a fingerprint can be estimated from multiple images taken by the same camera by means of a denoising filtering operation. This paper presents an analysis of the performances of different denoising filters based on diverse noise models when applied for digital camera tracking. In particular, a digital filter, based on a signal-dependent noise model, is introduced and compared with others commonly adopted for this purpose. A theoretical framework and experimental results are provided and discussed.
Year
DOI
Venue
2009
10.1109/ICDSP.2009.5201240
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Keywords
DocType
ISBN
diverse noise model,digital content,sensor fingerprint,source camera identification,multimedia forensics community,noise extraction,digital camera tracking,signal-dependent noise model,photo response non uniformity,main open issue,different denoising filter,digital filter,mathematical model,feature extraction,digital filters,fingerprint recognition,digital forensics,noise reduction,digital images,filtering,noise,noise measurement
Conference
978-1-4244-3298-1
Citations 
PageRank 
References 
10
0.66
9
Authors
5
Name
Order
Citations
PageRank
Irene Amerini132521.16
Roberto Caldelli248137.01
Vito Cappellini352164.85
Francesco Picchioni4624.54
Alessandro Piva52231157.21