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Recaptured image forensics based on normalized local ternary count histograms of residual maps

Research article (Signal Image and Video Processing, 2021) · cited 10× · AI/ML
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Recaptured image forensics based on normalized local ternary count histograms of residual maps

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Recaptured image forensics based on normalized local ternary count histograms of residual maps is a scholarly article[1].

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  • Recaptured image forensics based on normalized local ternary count histograms of residual maps's instance of is recorded as scholarly article[2].

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Recaptured image forensics based on normalized local ternary count histograms of residual maps. Retrieved May 24, 2026, from https://4ort.xyz/entity/recaptured-image-forensics-based-on-normalized-local-ternary-count-histograms-of-residual-maps
MLA “Recaptured image forensics based on normalized local ternary count histograms of residual maps.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recaptured-image-forensics-based-on-normalized-local-ternary-count-histograms-of-residual-maps.
BibTeX @misc{4ortxyz_recaptured-image-forensics-based-on-normalized-local-ternary-count-histograms-of-residual-maps_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recaptured image forensics based on normalized local ternary count histograms of residual maps}}, year = {2026}, url = {https://4ort.xyz/entity/recaptured-image-forensics-based-on-normalized-local-ternary-count-histograms-of-residual-maps}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recaptured image forensics based on normalized local ternary count histograms of residual maps — https://4ort.xyz/entity/recaptured-image-forensics-based-on-normalized-local-ternary-count-histograms-of-residual-maps (retrieved 2026-05-24)

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