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Image Compression Using 3-D Two-Level Techniques | ||
| Journal of Engineering | ||
| Article 1, Volume 19, Issue 11, 2013, Pages 1407-1424 | ||
| Author | ||
| Zainab Ibraheem Abood | ||
| Abstract | ||
| 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-multi-wavelet 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. | ||
| Keywords | ||
| Image compression; D two level wavelet transform; D two level multi; Wavelet Transform; D two level hybrid technique; Image data properties | ||
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