A novel LSB data hiding scheme with the lowest distortion
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2017/07/28
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Journal
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Indian UGC (journal)
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Refrences19
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Citations20
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Nan-I Wu Department of Animation and Game Design System, TOKO University, Puzih City, Taiwan
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Min-Shiang Hwang Department of Computer Science & Information Engineering, Asia University, Taichung, TaiwanDepartment of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan
Cite
Wu, Nan-I, and Min-Shiang Hwang. “A Novel LSB Data Hiding Scheme With the Lowest Distortion”. The Imaging Science Journal, vol. 65, no. 6, 2017, pp. 371-8, https://doi.org/10.1080/13682199.2017.1355089.
Wu, N.-I., & Hwang, M.-S. (2017). A novel LSB data hiding scheme with the lowest distortion. The Imaging Science Journal, 65(6), 371-378. https://doi.org/10.1080/13682199.2017.1355089
Wu, Nan-I, and Min-Shiang Hwang. “A Novel LSB Data Hiding Scheme With the Lowest Distortion”. The Imaging Science Journal 65, no. 6 (2017): 371-78. https://doi.org/10.1080/13682199.2017.1355089.
Wu NI, Hwang MS. A novel LSB data hiding scheme with the lowest distortion. The Imaging Science Journal. 2017;65(6):371-8.
Journal Categories
Science
Physics
Science
Physics
Acoustics
Sound
Science
Physics
Optics
Light
Technology
Photography
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Steganography of capacity required using modulo operator for embedding secret image | Applied Mathematics and Computation |
| 34 | 2005 |
| Steganography of capacity required using modulo operator for embedding secret image | 2010 | |||
| Steganography of capacity required using modulo operator for embedding secret image | 2016 | |||
| Steganography of capacity required using modulo operator for embedding secret image | 2016 | |||
| Steganography of capacity required using modulo operator for embedding secret image | 2016 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Graded fuzzy edge detection for imperceptibility optimization of image steganography | The Imaging Science Journal |
| 3 | 2023 |
A High-Capacity Coverless Information Hiding Based on the Lowest and Highest Image Fragments | Electronics |
| 3 | 2023 |
| A sophisticated and provably grayscale image watermarking system using DWT-SVD domain | The Visual Computer |
| 7 | 2022 |
| Improving grayscale steganography to protect personal information disclosure within hotel services | Multimedia Tools and Applications |
| 24 | 2022 |
| Moderate embed cross validated and feature reduced Steganalysis using principal component analysis in spatial and transform domain with Support Vector Machine and Support Vector Machine-Particle Swarm Optimization | Multimedia Tools and Applications |
| 1 | 2022 |
Citations Analysis
The category
Science: Mathematics: Instruments and machines: Electronic computers. Computer science 11
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled A Novel n-Rightmost Bit Replacement Image Steganography Technique and was published in 2018. The most recent citation comes from a 2023 study titled Graded fuzzy edge detection for imperceptibility optimization of image steganography. This article reached its peak citation in 2022, with 5 citations. It has been cited in 17 different journals, 23% of which are open access. Among related journals, the Multimedia Tools and Applications cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.