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A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding

Research article (Signal Processing, 2020) · cited 167× · AI/ML
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A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding

Summary

A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding is a scholarly article[1].

Key Facts

  • A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding's instance of is recorded as scholarly article[2].

References

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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). A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-robust-meaningful-image-encryption-scheme-based-on-block-compressive-sensing-and-svd-embedding
MLA “A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-robust-meaningful-image-encryption-scheme-based-on-block-compressive-sensing-and-svd-embedding.
BibTeX @misc{4ortxyz_a-robust-meaningful-image-encryption-scheme-based-on-block-compressive-sensing-and-svd-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding}}, year = {2026}, url = {https://4ort.xyz/entity/a-robust-meaningful-image-encryption-scheme-based-on-block-compressive-sensing-and-svd-embedding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A robust meaningful image encryption scheme based on block compressive sensing and SVD embedding — https://4ort.xyz/entity/a-robust-meaningful-image-encryption-scheme-based-on-block-compressive-sensing-and-svd-embedding (retrieved 2026-05-24)

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