基于掩模近正交小波的图像压缩及其在医学成像中的应用

L. Sugavaneswaran, M. Swamy, Chunyan Wang
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引用次数: 0

摘要

提出了一种基于近正交小波的感知非膨胀图像压缩方案。与传统的设计方案不同,该方法将人类视觉系统的特征直接融入到小波分解图像的每个子带中。在压缩系统的小波变换阶段,利用所提出的对比灵敏度函数在每个分解层次上进行掩蔽,从而增强了重建图像的视觉质量。所探索的双正交近螺旋小波用于提高中、低比特率应用的压缩性能。利用所提出的方法进行了大量的仿真,并与一些现有技术的结果进行了比较。
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Masked nearly-orthogonal wavelet-based image compression and its application to medical imaging
A perceptual non-expansive image compression scheme using the nearly-orthogonal wavelets is presented in this paper. The proposed approach differs from the conventional design scheme by incorporating the human visual system characteristics directly in each sub-band of the wavelet decomposed image. The enhancement in the visual quality of the reconstructed image is achieved by using the proposed contrast sensitivity function masking at each decomposition level during wavelet transformation phase in the compression system. The explored biorthogonal nearly coiflet wavelet is used to achieve an improvement in the compression performance for low and medium bit rate applications. Extensive simulations are carried out using the proposed approach and the results compared with those of some of the existing techniques.
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