QUANTIZATION MATRIX FOR MEDICAL IMAGE COMPRESSION USING FRAMELET TRANSFORM
DOI:
https://doi.org/10.30572/2018/KJE/521322Keywords:
Framelet Transform, Quantization Matrix, Peak Signal to Noise Ratio (PSNR), CompressionRatio (CR), Medical Images , Image CompressionAbstract
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.
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Copyright (c) 2014 Atheer Alaa Sabri, Nora Hussam Sultan
This work is licensed under a Creative Commons Attribution 4.0 International License.