基于CFA插值特性不一致的图像真伪鉴别

doi:10.3969/j.issn.0255-8297.2019.01.004

Abstract

Abstract:

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.

Key words: forgery detection, support vector machine (SVM), spectral correlation, color filter array (CFA) interpolation

CLC Number:

TP391

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.

References

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Identifying Image Authenticity Based on CFA Inconsistency of Interpolation Characteristics

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