Information security is a crucial factor when communicating sensitive information between two parties. Steganography is one of the most techniques used for this purpose. This paper aims to enhance the capacity and robustness of hiding information by compressing image data to a small size while maintaining high quality so that the secret information remains invisible and only the sender and recipient can recognize the transmission. Three techniques are employed to conceal color and gray images, the Wavelet Color Process Technique (WCPT), Wavelet Gray Process Technique (WGPT), and Hybrid Gray Process Technique (HGPT). A comparison between the first and second techniques according to quality metrics, Root-Mean-Square Error (RMSE), Compression-Ratio (CR), Structural-Similarity-Index Metric (SSIM), Peak Signal-to- Noise Ratio (PSNR), and Normalized-Cross-Correlation (NCC) resulted in that can get a high-quality image using WGPT than that when using WCPT. So, it is combined with a multiwavelet transform to get the third technique, HGPT. The results are implemented using MATLAB, and they indicate that the HGPT hides the message image with the best quality metrics of PSNR = 84.05262 and a high compression ratio of 16 for embedded images, whereas 76.06046 and 16 for extracted messages. This technique can be used with AI and deep learning.
במחקר הזה ניתחנו מספר נאומים של שמעון פרס, אנחנו התמקדנו בהשפעה והשכנוע אצל שמעון פרס ואיך הוא יכול להעביר את המסרים של נאומיו בסגנון פרגמטי כדי להגיע ללבו של הציבור.
גם כן, התמקדנו בסגנון הפוליטי שהוא חושב כי התחום הזה צריך להיות ברור מול הציבור וגם כן מול דעת הקהל הבינלאומי מתוך השימוש במונחים בעלי השפעה ושכנוע להגיע למטרות המבוקשות.
במלים אחרות, שמעון פרס, לעתים, מתמקד בשפה מליצית ויעמוד הרב
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