Nonlinear multiscale filtering

@article{citeulike:527914, abstract = {In this article, we give an overview of scale-spaces and their application to noise suppression and segmentation of 1-D signals and 2-D images. Several prototypical problems serve as our motivation. We review several scale-spaces (linear Gaussian, Perona-Malik, and SIDE-stabilized inverse diffusion equation) and discuss their advantages and shortcomings. We describe our previous work and argue that a very simple nonlinear scale-space leads to a fast estimation algorithm which produces accurate segmentations and estimates of signals and images.}, author = {Pollak, I. }, citeulike-article-id = {527914}, journal = {Signal Processing Magazine, IEEE}, keywords = {multiscale, scale-space}, number = {5}, pages = {26--36}, posted-at = {2008-05-07 09:14:03}, priority = {2}, title = {Nonlinear multiscale filtering}, url = {http://ieeexplore.ieee.org/xpls/abs\_all.jsp?arnumber=1028350}, volume = {19}, year = {2002} }

TY - JOUR ID - citeulike:527914 L3 - citeulike-article-id:527914 TI - Nonlinear multiscale filtering JF - Signal Processing Magazine, IEEE VL - 19 IS - 5 SP - 26 EP - 36 N2 - In this article, we give an overview of scale-spaces and their application to noise suppression and segmentation of 1-D signals and 2-D images. Several prototypical problems serve as our motivation. We review several scale-spaces (linear Gaussian, Perona-Malik, and SIDE-stabilized inverse diffusion equation) and discuss their advantages and shortcomings. We describe our previous work and argue that a very simple nonlinear scale-space leads to a fast estimation algorithm which produces accurate segmentations and estimates of signals and images. KW - multiscale KW - scale-space AU - Pollak, I PY - 2002/// UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1028350 ER -