A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance

Research article (Multimedia Tools and Applications, 2016) · cited 23× · AI/ML
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A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance. Retrieved October 16, 2026, from https://4ort.xyz/entity/a-watermarking-algorithm-in-encrypted-image-based-on-compressive-sensing-with-high-quality-image-reconstruction-and-wate
MLA “A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 16 Oct. 2026, https://4ort.xyz/entity/a-watermarking-algorithm-in-encrypted-image-based-on-compressive-sensing-with-high-quality-image-reconstruction-and-wate.
BibTeX @misc{4ortxyz_a-watermarking-algorithm-in-encrypted-image-based-on-compressive-sensing-with-high-quality-image-reconstruction-and-wate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance}}, year = {2026}, url = {https://4ort.xyz/entity/a-watermarking-algorithm-in-encrypted-image-based-on-compressive-sensing-with-high-quality-image-reconstruction-and-wate}, note = {Accessed: 2026-10-16}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A watermarking algorithm in encrypted image based on compressive sensing with high quality image reconstruction and watermark performance — https://4ort.xyz/entity/a-watermarking-algorithm-in-encrypted-image-based-on-compressive-sensing-with-high-quality-image-reconstruction-and-wate (retrieved 2026-10-16)

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