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Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features

Research article (International Journal of Digital Crime and Forensics, 2020) · cited 10× · AI/ML
academia openalex:W3015200745
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Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features

Summary

Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features is a scholarly article[1].

Key Facts

  • Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/copy-move-forgery-detection-through-differential-excitation-component-based-texture-features
MLA “Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/copy-move-forgery-detection-through-differential-excitation-component-based-texture-features.
BibTeX @misc{4ortxyz_copy-move-forgery-detection-through-differential-excitation-component-based-texture-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features}}, year = {2026}, url = {https://4ort.xyz/entity/copy-move-forgery-detection-through-differential-excitation-component-based-texture-features}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Copy Move Forgery Detection Through Differential Excitation Component-Based Texture Features — https://4ort.xyz/entity/copy-move-forgery-detection-through-differential-excitation-component-based-texture-features (retrieved 2026-05-24)

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