International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 6 November-December 2024 Submit your research before last 3 days of December to publish your research paper in the issue of November-December.

Enhancement of Wang-Yin-Wang Improved Least Significant Bit Algorithm Applied in Image Steganography

Author(s) John Christopher D. Ilacad, Harry Chris John C. Decapia, Mark Anthony S. Mercado, Jonathan C. Morano, Mark Christopher R. Blanco
Country Philippines
Abstract Researchers modified the development of Wang-Yin-Wang LSB Algorithm because it has not been able to maintain all the bits of the hidden image since there were insufficient pixel values in the carrier image. Use of LZW Compression algorithm for the hidden image is one way to solve this issue. The results showed that after compressing, there is now much capacity inside the carrier image to hold a bigger hidden image without making it look significantly different. This approach makes it easy to insert compressed data into a carrier image. Furthermore, besides improving capacity of carrier image as evidenced by test results, suggested method outperforms Wang-Yin-Wang’s algorithm in terms of visual quality of the stego image.
Keywords LSB Algorithm, LZW Compression, Stego-Image, Image Steganography
Field Computer
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-05-13
Cite This Enhancement of Wang-Yin-Wang Improved Least Significant Bit Algorithm Applied in Image Steganography - John Christopher D. Ilacad, Harry Chris John C. Decapia, Mark Anthony S. Mercado, Jonathan C. Morano, Mark Christopher R. Blanco - IJFMR Volume 6, Issue 3, May-June 2024. DOI 10.36948/ijfmr.2024.v06i03.19973
DOI https://doi.org/10.36948/ijfmr.2024.v06i03.19973
Short DOI https://doi.org/gtt8v2

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