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Title:
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Noise removal using smoothed normals and surface fitting.
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Author:
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Lysaker, Marius.; Osher, Stanley.; Tai, Xue Cheng.
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Copyright year:
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2004 |
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Abstract:
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In this work, we use partial differential equation techniques
to remove noise from digital images. The removal is done in
two steps.We first use a total-variation filter to smooth the normal
vectors of the level curves of a noise image. After this, we try to find
a surface to fit the smoothed normal vectors. For each of these two
stages, the problem is reduced to a nonlinear partial differential
equation. Finite difference schemes are used to solve these equations.
A broad range of numerical examples are given in the paper. |
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Subject:
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DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis.
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision.
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Type:
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Journal Article |
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Series/ Journal Title:
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IEEE Transaction on Image Processing. |
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School:
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School of Physical and Mathematical Sciences |
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Rights:
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IEEE Transection on image processing @copyright 2004 IEEE. The journal's website is located at http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1331446. |
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Version:
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Published version |
