Al Enzi, Abdalla Ramah (2025) Enhanced Least Significant Bit-Based Algorithms For Spatial Domain Image Steganography. PhD thesis, Perpustakaan Hamzah Sendut.
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Abstract
In digital image security, steganography conceals data within images using least significant bit (lsb) methods, which often compromise image quality. This research introduces three novel algorithms: pixel indices least significant bit (pilsb), semi-adaptive least significant bit (sdlsb), and reversible rewritable least significant bit (rrlsb), which aim to improve stego-image quality by minimizing the number of modified bits during the embedding process. The goal is to address the limitations of traditional lsb steganography, particularly issues of compromised security, reduced imperceptibility, and limited payload capacity. The methodology involves a comparative analysis of the three algorithms, measuring peak signal-to-noise ratio (psnr), mean squared error (mse), and structural similarity index (ssim) across different image and secret message sizes. Pilsb uses red and green lsbs for data embedding and blue lsbs for indexing, improving embedding efficiency. Sdlsb dynamically decomposes bytes based on color intensity to increase payload, while rrlsb employs reverse lsb in a two-stage process for indirect data embedding.
| Item Type: | Thesis (PhD) |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science |
| Divisions: | Pusat Pengajian Sains Komputer (School of Computer Sciences) > Thesis |
| Depositing User: | Mr Hasmizar Mansor |
| Date Deposited: | 12 Jun 2026 03:49 |
| Last Modified: | 12 Jun 2026 03:49 |
| URI: | http://eprints.usm.my/id/eprint/64348 |
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