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Che-Hua Li

dblp:418/9884 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—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 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.

Computer graphics and multimedia
1 paper
Image and video coding · 77% Image and video processing · 23%
Network and information security
1 paper
Digital forensics and information hiding · 100%

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

TopicWeightPapersLastEvidence papers
Image and video coding
image encryption
0.912025
Novel Secure and Robust Recoverable Cryptographic Mosaic Technique · IEEE Trans. Multim. 2025
Digital forensics and information hiding
information hiding
0.912025
Novel Secure and Robust Recoverable Cryptographic Mosaic Technique · IEEE Trans. Multim. 2025
Image and video processing
image similarity
0.312025
Novel Secure and Robust Recoverable Cryptographic Mosaic Technique · IEEE Trans. Multim. 2025

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

key-based recovery · 1.7discrete cosine transform · 1.7
YearPublicationVenuePosition
2025 Novel Secure and Robust Recoverable Cryptographic Mosaic Technique
abstract
Image mosaic is a prevalent technique to conceal critical content in images. However, conventional mosaic techniques cannot be recovered using a small-sized key, as they require retransmission of the original images for perfect recovery. In this work, we propose a novel, computationally efficient, and effective recoverable image-mosaic technique. A key advantage of our proposed image-mosaic scheme is its robust performance across a range of adjustable key lengths. Our technique effectively conceals original information even with a small-sized key of only a few bits. To evaluate its performance, we introduce a new image-similarity metric based on the magnitude of the discrete cosine transform (DCT). This metric exhibits several advantageous mathematical properties, including the ability to quantify the perceptibility of major content in mosaicked images, invariance under image reflections and 180-degree rotations, and insensitivity to small translations. Finally, numerical experiments demonstrate that our method outperforms existing recoverable image-mosaic techniques and performs consistent across varying key lengths. We also compare the run-times required by our proposed new scheme with those required by other existing recoverable image-mosaic methods and the state-of-the-art image-encryption methods to exhibit the computational efficiency of our proposed new scheme.
Chi Yung, Scott C.-H. Huang, Hsiao-Chun Wu, Che-Hua Li
IEEE Trans. Multim.4