J
Jeng-Shyang Pan
Researcher at Shandong University of Science and Technology
Publications - 889
Citations - 14887
Jeng-Shyang Pan is an academic researcher from Shandong University of Science and Technology. The author has contributed to research in topics: Digital watermarking & Computer science. The author has an hindex of 50, co-authored 789 publications receiving 11645 citations. Previous affiliations of Jeng-Shyang Pan include National Kaohsiung Normal University & Technical University of Ostrava.
Papers
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Book ChapterDOI
Comments on Yu et al’s Shared Data Integrity Verification Protocol
TL;DR: Yu et al. as mentioned in this paper proposed a secure shared data integrity verification protocol called SDVIP to ensure the integrity of outsourced file in the cloud, however, they exploited the vulnerability of their protocol in this paper.
Book ChapterDOI
Applications of Cloud Model in Digital Watermarking
TL;DR: This paper illustrates the efficiency of cloud model and its related theory in water marking area by applying a watermarking algorithm in digital images using one dimension normal cloud watermark as the watermarked information.
Journal ArticleDOI
Image-matching framework based on region partitioning for target image location
Xiaomin Liu,Xiaomin Liu,Jun-Bao Li,Jeng-Shyang Pan,Jeng-Shyang Pan,Shuo Wang,Xudong Lv,Shuanglong Cui +7 more
TL;DR: An improved SIFT image-matching algorithm incorporating detected Harris corners into the keypoint set is suggested, and Bhattacharyya distance based on an orientation histogram was employed to select the best result among different region pairs.
Proceedings ArticleDOI
Joint Multiple Watermarking and Non-Expansion Visual Cryptography
TL;DR: This paper proposes a scheme to hide two watermarks in visual secret sharing of a gray level image that is embedded during secret image halftoning and hidden during the halftone image encryption.
Proceedings ArticleDOI
Noise suppression for shape-gain vector quantization by index assignment using ant colony systems
TL;DR: A pioneer work on index assignment using ant colony systems for shape-gain vector quantization is presented, and channel distortion can be substantially reduced without incurring extra cost such as that in error-detection code and error-correction code.