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BINARY IMAGE INTERPOLATION BASED ON MATHEMATICAL MORPHOLOGY

机译:基于数学形态学的二值图像插值

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This paper presents an interpolation technique “mmINTone”for binary images, such as logos, diagrams, graphs and cartoons.The technique removes the jaggies from a pixelreplicatedimage, using concepts from mathematical morphology.As a result, the edges are smoother and jaggy-free.In this paper we describe the algorithm, show some resultsand compare it to existing interpolation methods as wellas to a previously developed technique of ours, also based onmathematical morphology. We can conclude that mmINToneis considerably faster and similar in quality.
机译:本文介绍了一种用于二值图像(例如徽标,图表,图形和卡通)的插值技术“ mmINTone”。该技术使用了数学形态学的概念,从像素复制的图像中去除了锯齿,结果,边缘变得更加平滑无锯齿在本文中,我们描述了该算法,并给出了一些结果,并将其与现有的插值方法以及我们先前开发的基于数学形态学的技术进行了比较。我们可以得出结论,mmINTone是相当快的,并且质量相似。

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