QUANTIZATION MATRIX FOR MEDICAL IMAGE COMPRESSION USING FRAMELET TRANSFORM | ||
| KUFA JOURNAL OF ENGINEERING | ||
| Article 1, Volume 5, Issue 2, December 2014, Pages 77-92 | ||
| Authors | ||
| Atheer Alaa Sabri; Nora Hussam Sultan | ||
| Abstract | ||
| In this paper, two quantization matrices are proposed that is suitable to compress medical images using framelet transform. Also two algorithms are suggested to compress medical images. One of them is used for grayscale and color medical images while the second is used for grayscale medical images only. It is found that the first proposed quantization matrix is better than the second in terms of Peak Signal to Noise Ratio (PSNR). While the second proposed quantization matrix is faster than the first. The work suggested in this paper is compared with wavelet and multiwavelet based algorithms and other previously related works and it is found that the quantization matrices proposed are most suitable for compression medical images with framelet transform and framelet transform is the best compression method for medical images. | ||
| Keywords | ||
| Framelet Transform; Quantization Matrix; Peak Signal to Noise Ratio; Compression Ratio; Medical Images and Image Compression | ||
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