Efficient Compression of Encrypted Grayscale Images
By Wei Liu, Wenjun Kevin Zeng, Lina Dong, Qiuming Yao. IEEE Transactions on Image Processing, 2010
308 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/54028aad0d8806c901dc7555da29f52beb0e1083
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In Artificial Intelligence
In Computer Vision and Pattern Recognition
In Electrical and Electronic Engineering
Citations in the corpus
- Reversible Data Hiding in Encrypted Images With Distributed Source Encoding (2016, background): “High payload of the proposed method is attributed to the combination of DSC and estimation.”
- High Capacity Reversible Data Hiding in Encrypted Images by Patch-Level Sparse Representation (2016, background): “Thus the schemes in [23]–[27] can only achieve small payloads even with the advance of compressing encrypted images [31], [32].”
- Reversibility improved data hiding in encrypted images (2014, methodology): “To enable data embedding in the encrypted image, all the three methods [22 – 24] try to space out room from the encrypted image directly, which follows the idea of compressing the encrypted image [25,26].”
- Reversible Data Hiding in Encrypted Images by Reserving Room Before Encryption (2013, methodology): “To separate the data extraction from image decryption, Zhang [18] emptied out space for data embedding following the idea of compressing encrypted images [14], [15].”
- Separable Reversible Data Hiding in Encrypted Image (2012, background): “…though he does not know the original image content. some parameters are embedded into a small number of encrypted pixels, and the of the other encrypted pixels are compressed to create a space for accommodating the additional data and the original data at the positions occupied by the parameters.”