Hao-Yu Weng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Hao-Yu Weng has a total of 3 co-authors. Here are the top co-authors by number of shared publications:
- Cheng-Ta Huang
Department of Information Management, Yuan Ze University, Taoyuan, Taiwan
1 shared publication - Chi-Yao Weng
Department of Computer Science and Information Engineering, National Chiayi University, Chiayi, Taiwan
1 shared publication - Njabulo Sinethemba Shongwe
International Bachelor’s Program in Informatics, Yuan Ze University, Taoyuan City 32003, Taiwan
1 shared publication
Latest Publications
- Open Access
- 12 February 2024
- Published by MDPI AG in Electronics
- Vol. 13 (4) , 738
High-Payload Data-Hiding Scheme Based on Interpolation and Histogram Shifting
The whole world is quickly transforming into an information world with the setup of smart cities, among other things. Information and other forms of privacy are therefore at risk due to the growing intelligence of hackers. Therefore, to enhance the security of information, a capacity-raising interpolation method based on histogram shifting is proposed. According to the experimental results, the capacity-raising interpolation method based on histogram shifting produces high-quality images with a significantly high embedding capacity, outperforming other methods. Apart from the already-mentioned advantages, the proposed method is reversible and can recover images in a lossless manner.
- 12 February 2024
- Published by MDPI AG in Electronics
- Vol. 13 (4) , 738
Open AccessHigh-Payload Data-Hiding Scheme Based on Interpolation and Histogram Shifting
The whole world is quickly transforming into an information world with the setup of smart cities, among other things. Information and other forms of privacy are therefore at risk due to the growing intelligence of hackers. Therefore, to enhance the security of information, a capacity-raising interpolation method based on histogram shifting is proposed. According to the experimental results, the capacity-raising interpolation method based on histogram shifting produces high-quality images with a significantly high embedding capacity, outperforming other methods. Apart from the already-mentioned advantages, the proposed method is reversible and can recover images in a lossless manner.