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Wen-Hsiang Tsai
Researcher at National Chiao Tung University
Publications - 187
Citations - 7851
Wen-Hsiang Tsai is an academic researcher from National Chiao Tung University. The author has contributed to research in topics: Image processing & Pixel. The author has an hindex of 39, co-authored 186 publications receiving 7491 citations. Previous affiliations of Wen-Hsiang Tsai include Asia University (Taiwan) & Industrial Technology Research Institute.
Papers
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Journal ArticleDOI
A steganographic method for images by pixel-value differencing
Da-Chun Wu,Wen-Hsiang Tsai +1 more
TL;DR: A new and efficient steganographic method for embedding secret messages into a gray-valued cover image that provides an easy way to produce a more imperceptible result than those yielded by simple least-significant-bit replacement methods.
Journal ArticleDOI
Moment-preserving thresolding: A new approach
TL;DR: Experimental results show that the new approach to automatic threshold selection using the moment-preserving principle can be employed to threshold a given picture into meaningful gray-level classes.
Journal ArticleDOI
Secret image sharing with steganography and authentication
Chang-Chou Lin,Wen-Hsiang Tsai +1 more
TL;DR: A novel approach to secret image sharing based on a (k, n)-threshold scheme with the additional capabilities of steganography and authentication with the capability of authenticating the fidelity of each processed camouflage image, called a stego-image is proposed.
Book
Moment-preserving thresholding: a new approach
TL;DR: Experimental results show that the new approach to automatic threshold selection using the moment-preserving principle can be employed to threshold a given picture into meaningful gray-level classes.
Journal ArticleDOI
Error-Correcting Isomorphisms of Attributed Relational Graphs for Pattern Analysis
Wen-Hsiang Tsai,King-Sun Fu +1 more
TL;DR: The pattern deformational model proposed by Tsai and Fu is extended so that numerical attributes and probability or density distributions can be introduced into primitives and relations in a nonhierarchical relational graph.