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Edge-preserving nonlinear iterative image resampling method

机译:保边非线性迭代图像重采样方法

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摘要

In this paper, an edge-preserving nonlinear iterative regularization-based image resampling method for a single noise-free image is proposed. Several aspects of the resampling algorithm are investigated: choice of discrepancy and regularization norms, improvements of convergence speed using edge-directional steepest-descent method and patch-based details synthesis. A model of a downsampling operator based on a camera observation model is considered.
机译:提出了一种基于边缘保留的非线性迭代正则化的图像重采样方法。研究了重采样算法的几个方面:差异和正则化范式的选择,使用边缘方向最速下降法提高收敛速度以及基于补丁的细节合成。考虑基于照相机观察模型的下采样算子的模型。

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