Demo Data from EDBT 2026 / reviewers in the wild / expert
Henri George Coanda
dblp:36/2403
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1
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 · 100% | |
| Computer graphics and multimedia
1 paper |
Image and video processing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding › steganography
reversible data hiding |
0.8 | 1 | 2024 | Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data Hiding · IEEE Trans. Inf. Forensics Secur. 2024 |
Image and video processing › image enhancement
contrast enhancement |
0.2 | 1 | 2024 | Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data Hiding · IEEE Trans. Inf. Forensics Secur. 2024 |
Image and video processing › image enhancement › contrast enhancement
histogram specification |
0.2 | 1 | 2024 | Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data Hiding · IEEE Trans. Inf. Forensics Secur. 2024 |
Methods — techniques the papers use, named apart from their topics
reversible data hiding · 1.5histogram specification · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Reversible Contrast Enhancement by Histogram Specification and Very Low Distortion Data HidingabstractThis paper deals with reversible contrast enhancement (RCE). Image enhancement is achieved by histogram specification, the most popular contrast enhancement technique. A low bitrate procedure for inverting histogram specification is developed. The data for original image recovery is reversibly embedded into the contrast enhanced version. Very low distortion RDH schemes that exploit the sparse histogram of the contrast enhanced images are also proposed. Their major novelties are: embedding only into the histogram bins that provide room without any pixel shifting or overflow/underflow control, and encoding of embedded data sequence with fewer bits of “1”. The newly proposed RDH can exceed 1 bpp at average square errors per embedded bit between 0.375 and 0.5. It should be stressed that one gets reversibility at the distortion of least significant bit substitution algorithms. Experimental results are presented. With the proposed RCE-HS, reversibility is obtained without any visual distortion. Dinu Coltuc, Henri George Coanda |
IEEE Trans. Inf. Forensics Secur. | 2 |
| 2019 | Multiple moduli prediction error expansion reversible data hiding
Ion Caciula, Henri George Coanda, Dinu Coltuc |
Signal Process. Image Commun. | 2 |