New developments in color image tampering detection

Document Type

Conference Proceeding

Publication Date

8-31-2010

Abstract

In this paper, an efficient framework for passive-blind color image tampering detection is presented. Statistical features are extracted from a given test image and a set of 2-D arrays derived by applying multi-size block discrete cosine transform to the given test image. Image features are extracted from Cr channel, a chroma channel in YCbCr color space, because of its observed sensitivity to color image tampering. A support vector machine is employed to evaluate the effectiveness of image features over a color image dataset recently established for tampering detection. Boosting feature selection is applied to having feature dimensionality reduced so as to make detection accuracy generalizable and computational complexity decreased. Experimental results have demonstrated that the proposed framework applied to the aforementioned dataset outperforms the state of the arts by distinct margins. ©2010 IEEE.

Identifier

77956006938 (Scopus)

ISBN

[9781424453085]

Publication Title

Iscas 2010 2010 IEEE International Symposium on Circuits and Systems Nano Bio Circuit Fabrics and Systems

External Full Text Location

https://doi.org/10.1109/ISCAS.2010.5537980

First Page

3064

Last Page

3067

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