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Chi Ji

dblp:372/9012 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0007-8580-0240ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Digital forensics and information hiding · 87% Privacy and data protection · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding › steganography
reversible data hiding
0.812024
Reversible Data Hiding in Encrypted Images With Adaptive Huffman Code Based on Dynamic Prediction Axes · IEEE Trans. Multim. 2024
Digital forensics and information hiding › steganography › reversible data hiding
reversible data hiding in encrypted images
0.812024
Reversible Data Hiding in Encrypted Images With Adaptive Huffman Code Based on Dynamic Prediction Axes · IEEE Trans. Multim. 2024
Privacy and data protection › privacy-preserving computation › encrypted data processing
encrypted image processing
0.212024
Reversible Data Hiding in Encrypted Images With Adaptive Huffman Code Based on Dynamic Prediction Axes · IEEE Trans. Multim. 2024

Methods — techniques the papers use, named apart from their topics

stream cipher · 0.8multidirectional median edge detector · 0.8dynamic prediction axes · 0.8
YearPublicationVenuePosition
2024 Reversible Data Hiding in Encrypted Images With Adaptive Huffman Code Based on Dynamic Prediction Axes
abstract
With the development of data security and privacy requirements in the field of cloud computing, Reversible Data Hiding in Encrypted Images (RDHEI) in encryption domain has received increasing attention. In order to take full advantage of the spatial and textural features of the original image, reversible data hiding in encrypted image with adaptive Huffman code based on Dynamic Prediction Axes (RDHEI-HDA) is proposed. First, the prediction errors of the original plaintext image are calculated according to the multidirectional median edge detector (M-MED) combined with the Dynamic Prediction Axes which are generated by the spatial correlation of the original image. After encryption process with the stream cipher, the adaptive Huffman coding labeling rule is created for pixel labeling and classification according to the Dynamic Prediction Axes and the distribution of prediction errors. Finally, bit substitution is employed to insert secret data and side information into the image. In Comparison to most of the state-of-the-art RDHEI methods, the experimental results show that the RDHEI-HDA method provides a higher pure payload while ensuring safety.
Chi Ji, Guangyong Gao, Yun Q. Shi 0001
IEEE Trans. Multim.1