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In recent years, the detection of copy-move forgery has become an important research topic in multimedia forensics and security. However, the computational complexity of the existing methods is still very high. This paper proposes a novel and fast reflective offset-guided searching method for image copy-move forgery detection. During the initialization stage, the features are extracted and randomly...
In this paper, a Multi-Level Dense Descriptor (MLDD) extraction method and a Hierarchical Feature Matching method are proposed to detect copy–move forgery in digital images. The MLDD extraction method extracts the dense feature descriptors using multiple levels, while the extracted dense descriptor consists of two parts: the Color Texture Descriptor and the Invariant Moment Descriptor. After calculating...
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