Identifying Image Authenticity Based on CFA Inconsistency of Interpolation Characteristics
Received date: 2018-02-06
Revised date: 2018-05-17
Online published: 2019-01-31
Single-sensor digital cameras generally acquire the missing color components by color filter array (CFA) interpolation. In this work, CFA interpolation characteristics are exploited to identify image forgery. Using the differences in frequency spectrum between interpolated images and ideal full color ones, the interpolation characteristics are described by block spectral change and chrominance artifacts features. The feature difference between test images and their re-interpolated version are computed as forensic features. Finally, support vector machine (SVM) is exploited to classify the authentic and tampered images using the block-wise inconsistency of forensic features. Experimental results verify effectiveness of the proposed method and its robustness against JPEG compression.
SU Wen-xuan, FANG Zhen . Identifying Image Authenticity Based on CFA Inconsistency of Interpolation Characteristics[J]. Journal of Applied Sciences, 2019 , 37(1) : 33 -40 . DOI: 10.3969/j.issn.0255-8297.2019.01.004
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