An enhanced statistical approach for median filtering detection using difference image

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dc.contributor.author Jain, Hardik
dc.contributor.author Das, Joydeep
dc.contributor.author Verma, Hemant Kumar
dc.contributor.author Khanna, Nitin
dc.contributor.other 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA)
dc.coverage.spatial India Habitat Centre, New Delhi, IN
dc.date.accessioned 2017-09-02T08:52:38Z
dc.date.available 2017-09-02T08:52:38Z
dc.date.issued 2/22/2017
dc.identifier.citation Jain, Hardik; Das, Joydeep; Verma, Hemant Kumar and Khanna, Nitin, "An enhanced statistical approach for median filtering detection using difference image", in the 2017 IEEE International Conference on Identity, Security and Behavior Analysis (ISBA), India Habitat Centre, New Delhi, IN, Feb. 22-24, 2017. en_US
dc.identifier.uri http://dx.doi.org/10.1109/ISBA.2017.7947704
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/3110
dc.description.abstract In image forensics, detection of image forgeries involving non-linear manipulations have received a great deal of interest in recent past. Median filtering (MF) is one such non-linear manipulation technique which is quite often used in number of applications such as to hide impulse noises. Unlike other linear filtering operations, non-linear characteristics of median filtering makes it harder to detect using traditional forensics methods designed for detecting linear operations. This work utilizes adjacent pixels of difference image corresponding to input as well as MF version of input image for extracting proposed Local Expectation Features (LEF). These features when combined with an existing feature set Global-Local feature show significant improvement in MF detection. Evaluation of the proposed method under various forensic scenarios demonstrate consistent improvement in classification accuracy for a wide range of image sizes and compression ratios as compared to the existing methods for MF detection. en_US
dc.description.statementofresponsibility by Hardik Jain, Joydeep Das, Hemant Kumar Verma and Nitin Khanna
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.subject Median filtering detection en_US
dc.subject Local expectation feature extraction en_US
dc.subject Global-local feature en_US
dc.subject MF detection en_US
dc.subject Image forensics en_US
dc.subject Classification en_US
dc.subject Compression ratios en_US
dc.subject LEF en_US
dc.title An enhanced statistical approach for median filtering detection using difference image en_US
dc.type Article en_US


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