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Block-based adaptive lifting schemes for multiband image compression

机译:用于多频带图像压缩的基于块的自适应提升方案

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In this paper, we are interested in designing lifting schemes adapted to the statistics of the wavelet coefficients of multiband images for compression applications. More precisely, nonseparable vector lifting schemes are used in order to capture simultaneously the spatial and the spectral redundancies. The underlying operators are then computed in order to minimize the entropy of the resulting multiresolution representation. To this respect, we have developed a new iterative block-based classification algorithm. Simulation tests carried out on remotely sensed multispectral images indicate that a substantial gain in terms of bit-rate is achieved by the proposed adaptive coding method w.r.t the non-adaptive one.
机译:在本文中,我们有兴趣设计适合于压缩应用的多频带图像小波系数统计的提升方案。更精确地,使用不可分离的矢量提升方案以便同时捕获空间和频谱冗余。然后计算基础算子,以最小化所得多分辨率表示的熵。为此,我们开发了一种新的基于块的迭代分类算法。在遥感多光谱图像上进行的仿真测试表明,所提出的自适应编码方法与非自适应编码方法相比,可在比特率方面获得可观的收益。

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