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Liehua Me

dblp:54/6652 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

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 coding · 100%

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

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding
watermarking
0.012001
A class of authentication digital watermarks for secure multimedia communication · IEEE Trans. Image Process. 2001
Image and video coding › scalable coding
SPIHT
0.012001
A class of authentication digital watermarks for secure multimedia communication · IEEE Trans. Image Process. 2001
Image and video coding › transform coding
wavelet coding
0.012001
A class of authentication digital watermarks for secure multimedia communication · IEEE Trans. Image Process. 2001

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

rank-order encoding · 0.1edge-based message digest · 0.1discrete wavelet transform · 0.1
YearPublicationVenuePosition
2001 A class of authentication digital watermarks for secure multimedia communication
abstract
A new approach to digital signatures for imaging, which adapts well to multimedia communications in lossy channels is introduced. Rather than attaching the signature's bit-string as a file-header, it is invisibly etched into the image using a new watermarking algorithm. The watermark is "nonfragile," tolerating small distortions but not malicious tampering aimed at modifying the image's content. In particular, the rank-order relationship in local areas throughout the lowest level of the DWT is exploited to encode the watermark. An edge-based message digest is used. The signature is in the form of binary data and the wavelet decomposition coefficients are modified according to this binary sequence. The signature is also embedded and tested within the SPIHT compression algorithm. The information capacity is studied and the experimental results confirm a logarithm relation between the bit rate and the quantization level, which is similar to the Shannon's capacity theorem. Experiments are performed to examine the signature's transparency and robustness.
Liehua Me, Gonzalo R. Arce
IEEE Trans. Image Process.1