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Noise removal using smoothed normals and surface fitting

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Noise removal using smoothed normals and surface fitting

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Title: Noise removal using smoothed normals and surface fitting
Author: Lysaker, Marius; Osher, Stanley; Tai, Xue Cheng
Copyright year: 2004
Abstract: 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.
Subject: DRNTU::Science::Mathematics::Applied mathematics::Numerical analysis.DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision.
Type: Journal Article
Series/ Journal Title: IEEE Transaction on Image Processing.
School: School of Physical and Mathematical Sciences
Rights: 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.
Version: Published version

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