GLM for Image Steganography Technique
| Autor: | Ahmed S. Nori, Thana Gh. Ahmed, Noor N. Ahmed |
|---|---|
| Jazyk: | arabština |
| Rok vydání: | 2013 |
| Předmět: |
business.industry
Computer science png lcsh:Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition General Medicine Image steganography lcsh:QA1-939 lcsh:QA75.5-76.95 Least significant bit lsb bmp Artificial intelligence glm lcsh:Electronic computers. Computer science business jpg |
| Zdroj: | Al-Rafidain Journal of Computer Sciences and Mathematics, Vol 10, Iss 1, Pp 239-249 (2013) |
| ISSN: | 2311-7990 1815-4816 |
| Popis: | An improvement to a Steganography method for hiding data using Gray Level Images is proposed in this paper. The method is an improvement over earlier method named Least Significant Bit (LSB). This method uses the 5th, and 6th bits of pixel value for insertion and retrieval of message by using the same bits of pixel value. The idea here, deals with images in different sizes and extensions (BMP, JPG, PNG) for obtaining better results and more efficient than its original one (LSB). The selection of pixel locations is done by using the pseudo random number generator, Which is uses the same key for insertion as well as retrieval of process. The experiments show the Superiority of the new idea through using the performance measures (PSNR, BER, NC). |
| Databáze: | OpenAIRE |
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