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Nonuniform image representation in area-of-interest systems

机译:感兴趣区域系统中的非均匀图像表示

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This paper is concerned with image representation by data distributed nonuniformly and in particular with a representation scheme suitable for "area-of-interest" imaging. The class of signals under consideration, whose information density varies with position, can be represented according to a nonuniform sampling scheme. Position-varying projection operators are presented as simple low-pass filtering operations in a Fourier-like domain. Sequential projections are used for pyramidal representation of nonuniformly sampled images. It is shown that irregular random sampling, prevents, under certain mild restrictions, aliasing effects.
机译:本文涉及通过不均匀分布的数据进行的图像表示,尤其涉及适用于“关注区域”成像的表示方案。信息密度随位置变化的信号类别可以根据非均匀采样方案表示。变位置投影算子在类傅立叶域中表示为简单的低通滤波操作。顺序投影用于非均匀采样图像的金字塔表示。结果表明,在某些轻微的限制下,不规则的随机采样可以防止混叠效应。

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