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An Edge Preserving Locally Adaptive Anti-aliasing Zooming Algorithm with Diffused Interpolation

机译:扩散插值的边缘保持局部自适应抗混叠缩放算法

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In this paper the problem of producing an enlarged image from a given digital image is addressed (zooming). Different image interpolation techniques are used for image enlargement. During interpolation, preserving details and smoothing data at the same time for not introducing spurious artifacts (i.e. Aliasing) is difficult. A complete and a definitive solution to this problem is still an open issue. Although there are some well known methods in the market Parket [14], Sakamote [16], the paper proposes a method that considers discontinuities and luminance variations in a sequence of non linear iterations steps. All the pixels present near the edges are diffused into the edge in a way that aliasing is reduced to a greater extent. Hence the proposed method is completed in limited computational resources. The proposed method preserves edges and brings smoothness and at the same time controls the aliasing effect.
机译:在本文中,解决了从给定的数字图像生成放大图像的问题(缩放)。不同的图像插值技术用于图像放大。在插值期间,难以同时保留细节和平滑数据以免引入虚假伪像(即混淆)是很困难的。对于此问题的完整而确定的解决方案仍然是一个未解决的问题。尽管市场上有一些著名的方法Parket [14],Sakamote [16],但本文提出了一种在非线性迭代步骤序列中考虑不连续性和亮度变化的方法。边缘附近存在的所有像素都以更大程度减少混叠的方式扩散到边缘中。因此,所提出的方法在有限的计算资源中完成。所提出的方法保留了边缘并带来了平滑度,同时控制了混叠效果。

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