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A novel fingerprint image compression technique using the wavelet transform and piecewise-uniform pyramid lattice vector quantisation

机译:一种新的指纹图像压缩技术,使用小波变换和分段均匀的金字塔晶格载体量化

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A novel compression algorithm for fingerprint images is introduced. Using wavelet packets and lattice vector quantisation, a new vector quantisation scheme based on an accurate model for the distribution of the wavelet coefficients is presented.In the new algorithm, no assumptions are made about the lattice parameters and no training and multi-quantising are required. The proposed algorithms achieve the best rate-distortion performance by adapting to the statistical characteristics of the source image in each sub-image. Compared to other available image compression algorithms, the proposed algorithms result in higher quality reconstructed images for identical bit rates.
机译:介绍了一种用于指纹图像的新型压缩算法。使用小波包和晶格矢量定量,提出了一种基于用于分布小波系数的准确模型的新的向量量化方案。在新算法中,没有对晶格参数进行假设,不需要训练和多量子。所提出的算法通过适应每个子图像中的源图像的统计特性来实现最佳速率失真性能。与其他可用图像压缩算法相比,所提出的算法导致较高质量的重建图像以获得相同的比特率。

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