In this paper three techniques for image compression are implemented. The proposed techniques consist of three dimension (3-D) two level discrete wavelet transform (DWT), 3-D two level discrete multi-wavelet transform (DMWT) and 3-D two level hybrid (wavelet-multiwavelet transform) technique. Daubechies and Haar are used in discrete wavelet transform and Critically Sampled preprocessing is used in discrete multi-wavelet transform. The aim is to maintain to increase the compression ratio (CR) with respect to increase the level of the transformation in case of 3-D transformation, so, the compression ratio is measured for each level. To get a good compression, the image data properties, were measured, such as, image entropy (He), percent root-mean-square difference (PRD %), energy retained (Er) and Peak Signal to Noise Ratio (PSNR). Based on testing results, a comparison between the three techniques is presented. CR in the three techniques is the same and has the largest value in the 2nd level of 3-D. The hybrid technique has the highest PSNR values in the 1st and 2nd level of 3-D and has the lowest values of (PRD %). so, the 3-D 2-level hybrid is the best technique for image compression.
הקדמה
עיון זה מטפל ביסוד עיקרי במבנה השירי, כלומר הצורה השירית, המהווה את היסוד הבולט והחשוב ביותר
בשירה, אין שיר בעל ערך אמנותי שלא מכיל צורה שירית יפה.
העיון הזה כולל מבוא על הצורה השירית , בו הצגנו דעות של מבקרים ערביים ומערביים בולטים ביחס הנושא ,
למען הגשת צורה מפורשת להבנת מבנה הצורה השירית . סקרנו את היסודות העיקריים שנשענה עליהם
הצורה השירית ומהן: הדמיון, הדמוי, מטאפורה, סמל, סיפקנו הסבר מפורט על
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