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Antialiasing-warped imagery using lookup-table-based methods for adaptive resampling

机译:使用基于查找表的方法进行抗锯齿变形的图像进行自适应重采样

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Abstract: In a previous paper, the authors demonstrated how image warping could be implemented using a pair of two-dimensional (2-D) spatial look-up tables. In that paper, the focus was on generating the tables, not on antialiasing the results. In this paper, the authors present a method for generating resampling kernels from the spatial look-up tables for the purpose of reducing aliasing. The method generates resampling kernels based on the reduction in spatial frequency content that must take place in order to produce an antialiased warped result. Since the reduction in spatial frequency required for each output pixel can be unique, the method is adaptive. !14
机译:摘要:在先前的论文中,作者演示了如何使用一对二维(2-D)空间查找表实现图像变形。在那篇论文中,重点在于生成表,而不是对结果进行抗锯齿。在本文中,作者提出了一种从空间查找表生成重采样内核的方法,目的是减少混叠。该方法基于为了产生抗锯齿变形结果而必须发生的空间频率内容的减少来生成重采样内核。由于每个输出像素所需的空间频率降低可以是唯一的,因此该方法是自适应的。 !14

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