Blur Detection of Digital Forgery Using Mathematical Morphology

Recent studies on agent techniques for digital content management have been focused on the guarantee of safety and intelligent management. The digital forensic to detect content tampering is a typical application of safety digital content management. Based on the edge processing and analysis using edge preserving smoothing filtering and mathematical morphology, a new blur edge detection scheme is proposed in this paper, which can indicate possible tampering and locate tampered regions without any embedded information such as watermarking technique. Experimental results demonstrate the effectiveness of the proposed scheme.

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