Key-Free Image Encryption Algorithm Based on Self-Triggered Gaussian Noise Sampling

With the emergence of the big data era, data privacy has become an increasingly important concern. Digital image, as one of the most prevalent forms of data, frequently contains sensitive information. Thus, ensuring the protection of this information has become a pressing issue. Consequently, resear...

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Vydané v:	IEEE access Ročník 12; s. 153274 - 153284
Hlavní autori:	Gao, Kai, Chang, Chin-Chen, Lin, Chia-Chen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Big Data Complexity Decoding denoising diffusion probabilistic model Digital images Digital imaging Encryption Image analysis Image encryption Image enhancement Image quality Image transmission key-free Noise reduction Privacy Random noise Security self-embedding Streaming media Thumbnail icons Training Visualization White noise
ISSN:	2169-3536, 2169-3536
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