局部非线性图像恢复的有限元方法

CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings Pub Date : 1997-05-25 DOI:10.1109/CCECE.1997.608268

T. L. Veldhuizen, M. E. Jernigen

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引用次数: 1

摘要

本文考虑了局部非线性图像恢复的有限元基函数。该问题的高维要求对称假设，以使滤波器设计过程在计算上可行。与多项式滤波器相比，有限元滤波器可以快速评估和训练，并且可以很好地处理异常值。初步结果优于Lee的局部自适应滤波器。

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A finite element approach to local nonlinear image restoration

We consider finite element basis functions for local nonlinear image restoration. The high dimensionality of the problem requires symmetry assumptions to make the filter design process computationally feasible. In contrast to polynomial filters, finite element filters are fast to evaluate and train, and handle outliers well. Preliminary results are superior to Lee's local adaptive filter.

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CCECE '97. Canadian Conference on Electrical and Computer Engineering. Engineering Innovation: Voyage of Discovery. Conference Proceedings

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