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Certain investigation on image compression technique using wavelet transform for telemedicine application

机译:基于小波变换的图像压缩技术在远程医疗中的某些研究

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In this paper we propose on efficient region of Interest coding technique based on [1]Multiwavelet transform, set portioning in hierarchical Algorithm of Medical Images. This new method reduces the importance of Background coefficient of [2]ROI Code block without compromising algorithm complexity. By using this coding method the compressed Bit stream are all embedded and suited for progressive Transmission. Extensive experimental results show that the proposed algorithm gives better quality of images using multi wavelets transform compared to that of other scalar wavelet transforms. In this paper we took 512×512 original image. By using multiwavelet transform we decomposed the original image in various levels, then the original image is compressed in to 4:1 compression ratio and also compared the performance of proposed method with existing method. The performance of the system has been evaluated based on bits per pixel(BPP), Peak Signal To Noise Ratio(PSNR), Mean Square Error, [3](MSE), Compression Ratio(CR), and Cross Correlation(CC).
机译:本文提出了一种基于[1]多小波变换的有效感兴趣区域编码技术,并在医学图像的分层算法中进行了设置分割。该新方法在不影响算法复杂度的情况下,降低了[2] ROI代码块的背景系数的重要性。通过使用这种编码方法,压缩的比特流全部被嵌入并且适合于渐进式传输。大量的实验结果表明,与其他标量小波变换相比,该算法使用多小波变换可以提供更好的图像质量。在本文中,我们拍摄了512×512的原始图像。通过多小波变换,对原始图像进行了不同程度的分解,然后将原始图像压缩为4:1的压缩率,并将所提方法的性能与现有方法进行了比较。系统的性能已根据每像素位数(BPP),峰值信噪比(PSNR),均方误差,[3](MSE),压缩率(CR)和互相关(CC)进行了评估。

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